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To minimize environmental impact and costs, natural surfactants are suggested as an ecologically sustainable replacement for synthetic surfactants. The aim of this work is to evaluate the efficiency of low-cost saponin-based natural surfactant (SBNS) from Vernonia amygdalina (VA) leaves for enhanced oil recovery (EOR). Furthermore, the study investigated the IFT behaviour of SBNS at oil-water interface and the emulsion behaviour and oil displacement efficiency of SBNS. The SBNS was obtained via ultrasonic extraction of dried VA leaves in a water bath, centrifuging the obtained liquid mixture and freeze drying to evaporate to dryness. Thereafter, Fourier-transform infrared spectroscopy (FTIR) and high-performance liquid chromatography were used to characterize the extracted SBNS. Moreover, tensiometer (Easy-Dyne KRUSS) was used to study the interfacial tension (IFT) behaviour of the SBNS at oil-water interface. Also, the SBNS ability to form stable emulsion in the presence of crude oil was determined. Finally, oil displacement by SBNS solution was investigated under simulated reservoir conditions (3000 psi and 100 °C) with high-pressure high-temperature (Fars EOR) core flooding equipment. The performance of SBNS was compared to commercial non-ionic surfactant 4-octylphenol polyethoxylated (TX-100). Experimental result indicated that the SBNS reduced the IFT at oil-water interface. The natural surfactant lowered the IFT of the oil-water interface from 18.0 to 0.97 mN/m. Moreover, emulsions formed with SBNS showed good stability characterized by a decrease in the median drop diameter with an increase in SBNS concentration. Finally, oil displacement test shows that oil recovery of TX-100 and SBNS increased by 9% and 15% original-oil-in-place (OOIP), respectively. Hence, SBNS is recommended as an appropriate substitute for conventional surfactant due to its inexpensive raw material, lower toxicity, and higher efficiency.

Due to the increasing construction of clay and marl hills in most areas of Tabriz (Iran), its characteristics in terms of resistance, and its tendency to liquefy during earthquakes, this city is at risk of landslides. This paper studies the landslide vulnerability of Tabriz using visual and statistical evidence. The evaluation of landslide susceptibility was performed using the evidential belief function model (EBF) and the index of entropy. The environmental impact assessment of landslides was carried out using the Promethean II model in three environmental, economic, and social phases. Finally, a landslide strategy plan for decision-makers was developed. The results of the analysis using the EBF model showed that 89.81% of the total area of Tabriz is located in a direct landslide vulnerability zone. The output of the receiver operating characteristics (ROC) curve showed 83.3% accuracy of the EBF model. The impact assessment showed that for the environment, the geological criterion had an output weight of 0.396; for the economy, the road criterion had a weight of 0.477; and for the society, the commercial criterion had a weight of a 0.452; all were the most affected by landslides. The results of monitoring studies of the largest landslides in Tabriz in 1957, 1984, and 2020 showed approximately 41.65 m of land sliding over a period of 63 years. To our knowledge, this study is the first in the world to predict the environmental impact assessment and provide a strategy plan for Tabriz.

In recent years, our country is advancing at a high speed, and the air pollution is becoming more and more serious. In 2014, more than historical haze events occurred in many parts of China. This incident has caused nearly 25% of our country to be seriously polluted, and of these areas, North China is the most polluted. The occurrence of this haze pollution event has attracted more and more attention. In the new era, social sports organizations have implemented a wide range of conditions, historical background, and prospects for development opportunities and needs. Supply of sports public service cooperation with the community sports organizations, government procurement from a given public service sports community sports organizations existing problems in two models, the white paper will be transferred to community sports groups’ base service chain, and there are three types of push rod government. Public service organization of public services and the purchase of sports target mode supply mass sports organization and implementation path regional cooperation, community, and social sports organizations will collaborate to provide sports-oriented mode of supply of public services, as well as social movements and patterns will work to provide public service sports base, cross-industry alliance.

In this paper, a hybrid inverse distance weighted (IDW) and the imperialist competitive algorithm (ICA) was proposed for grade estimations in mining projects. Indeed, the coefficients of the IDW equation, power, and the influence distance were modified by applying the ICA algorithm. For this, an example was solved by using IDW, the ordinary kriging, and IDW-ICA. After successfully validating the IDW-ICA, the iron grades were estimated in the Baba Ali iron mine, the most prominent iron mine in the west of Iran. For this, after gathering data from thirty-two boreholes, the grade estimations were conducted using IDW, kriging, and IDW-ICA. Some statistical parameters, including the mean absolute percentage error (MAPE), root-mean-squared error (RMSE), and correlation coefficient, were used to compare the results. The higher value of the R2, 94.41%, the lowest values of MAPE, 17.4%, and RMSE, 4.19, of the proposed algorithm, revealed that the IDW-ICA could be applied as a new-fangled method for grade estimations in the mining projects.

The aim of study was to evaluate physicochemical properties of sewage sludge degradation under aerobic and anaerobic conditions in municipal wastewater treatment plant in Serkan, Hamedan province, west of Iran. The evaluated parameters included temperature, carbon to nitrogen ratio (C:N), total C, total N, moisture content, volatile solids, ash, electrical conductivity (EC), pH, and fecal and total coliforms. Experiments were conducted over a period of 100 days during which the sampling from the mixtures was performed every 5 days. Properties of the waste sludge and both treatments including windrow composting and anaerobic digestion were assessed at the initial stage, and during and end of the degradation period. The pH of the compost piles was found to be 6.28 at the beginning of the process and about 7–7.5 after 100 days in both treatments. Based on field observations, it could be concluded that after 14 weeks of degradation, compared with the aerobic degradation, the anaerobic digestion would yield a digestate of a higher quality with the final total nitrogen of 2.8%, final total carbon (TOC) of 44%, and C:N of 15.7. This higher rate of final total nitrogen and the lower amount of total coliform could indicate the suitability of degradation quality through anaerobic digestion. Based on the results, a substantial reduction was observed in C:N ratio, total carbon content, and the moisture content in waste sludge following degradation, while an increase in nitrogen content as well as pH was observed in digestate.

With the advancement of globalisation, urbanisation and environmental change, the outbreak of the Coronavirus disease 2019 (COVID-19), as an infectious disease, has become a global threat. The entire world is continuously trying to adapt to the pandemic situation due to the sudden outbreak of COVID-19 and the lockdown phase, which has not been faced before. The fear of infection by such an unknown virus and the epidemic transformed the built-up environment and impacted various sectors of lives and livelihoods, which must be assessed in spatial perspectives. The objective of this research is to assess the multi-sectoral impact due to the COVID-19 pandemic. Thus, it is designed to inspect seven essential sectors, namely, the economy, employment, education, transport, travel and tourism, health and environment sector-wise impact assessment of the West Bengal state of India. Taking the required COVID-19 data from the government website of India ( http://www.covid19india.org ; https://www.mygov.in/corona-data/covid19-statewise-status ) and West Bengal ( https://covidindia.org/west-bengal ), a methodology is proposed on an integrated framework for the multi-sectoral impact assessment. The study concentrates on West Bengal, as no study exists on the multi-sectoral impact assessment due to the COVID-19 pandemic during the 1st wave, especially using the geospatial platform. The economy, employment, education, transport, health, tourism and environment multi-sectors of West Bengal are selected in this research, as these sectors have built the economic, sociocultural and environmental pillars of the state. All these sectors have been seriously affected, and the nature of the impact is diverse and large. Before the vaccine comes into the hands of the common people of West Bengal and in a broad sense in India, the awareness should be increased at the grass-root level to fight against the pandemic situation and even after the post-COVID era. The application of geospatial technology used for the mapping and analysis of COVID-19 affects the related database to tease out the multidimensional study, which aims to plan future road maps, search for answers and learn to add further security to overcome the future virus attack.

In geotechnical designs, utilization of biopolymers in soil improvement is a considerable aspect in terms of sustainability. Sustainability, on the other hand, is known as being a predominant tread in the reduction of global warming. The implementation of biopolymers in soils is an eco-friendly approach besides of being a newly growing technology. In this study, the improvement of coarse-grained soils by means of utilizing xanthan gum biopolymer was aimed. Concordantly, large-scale laboratory model tests were conducted to analyze the effects of water content, biopolymer ratio, mixing method, improvement depth, and curing durations on bearing capacities. Eventually, up to 2.2 times bearing capacity increments were attained. Besides, 1.25% biopolymer ratio, 70 °C mixing method, 42 days curing duration, and improvement depth of 1.00 times the footing width (D) were determined as optimum values. Also, comparisons were conducted between xanthan gum and some well-known traditional additives. Bearing capacity for xanthan gum was obtained to be higher than those for fly ash and lime along with being almost the same as that of cement for which shorter durations were found to be sufficient to reach the desired criteria. The executed micro-structural analysis results supported the occurrence of both chemical and physical enhancements in the soil structure, as well.

Until 31 May 2020, more than six million confirm COVID-19 cases had been reported worldwide. Lockdown has resulted in significant air quality improvement, especially in urban regions. The lockdown has acted as a natural experiment empowering researchers, policymakers, and governing bodies. The present study focuses on quantifying and analysing the effect of lockdown on India’s metropolitan cities, namely New Delhi, Mumbai, Kolkata, Chennai, and Bangalore. The study analyses the phase-wise and diurnal variations in the air quality from 24 March 2020 to 31 May 2020 while focussing on-peak and off-peak duration concentrations. To investigate the reason behind pollutant reduction, correlation of drop percentages in pollutant concentrations with vehicle population, extent of construction activity, and meteorological parameters are analysed. The 24-h drop in PM10 and PM2.5 showed a high correlation (R2 = 0.97 and 0.72, respectively) with the city’s vehicle population. During peak hours, the inland cities (Delhi and Bangalore), with a more extensive vehicle fleet, recorded a higher drop in PM10 and PM2.5 concentrations than coastal cities (Mumbai, Chennai, and Kolkata). With respect to 2019 concentration, the maximum decrease in pollutant concentrations averaged across the five study locations was recorded in NO2 (46%), followed by PM2.5 (40%), PM10 (37%), and CO (19%). SO2 and O3 contrarily recorded an overall increase of 40% and 41%. These results wherein vehicular pollutants recorded the maximum drop indicate that reduced vehicular traffic primarily influenced air quality improvement during the lockdown. Supplementary Information The online version contains supplementary material available at 10.1007/s12517-021-07777-x.

Biomass materials have been rapidly used in generating power, heating, and other industrial applications; the remains from the combustion of biomass materials, biomass ash, are being produced in large quantities rapidly. Accordingly, a method of consuming biomass ash, expanding new applications, and achieving resource utilization is urgently required. This research studies the basic properties of adding biomass ash in soils by examining the effects of water evaporation and the development of shrinkage cracks in soils. Laboratory evaporation tests have been carried out on soil samples with different quantities of biomass ash. The loss of mass is recorded to evaluate the effect of biomass ash on the behavior of water evaporation in the soil. Image processing technology and fractal theory are used to quantitatively analyze the development of shrinkage cracks on the soil surface. The results show that biomass ash can effectively reduce evaporation and crack development in soil. With increases in the biomass ash content, although the difference of residual water content is small, the evaporation time is increased with decreasing crack ratio. The addition of biomass ash greater than 5% has a significant impact (p ≤ 0.05) on soil evaporation, and the addition greater than 2.5% has a significant impact (p ≤ 0.05) on soil cracking. The time of evaporation with biomass ash addition amount of 2.5%, 5%, 10%, 15%, and 20% increased by 10%, 22%, 32%, 43%, and 49% in turn, the crack ratio of which decreased by 12%, 42%, 65%, 72%, and 74%, respectively, over control samples.

Treatment and recycling of organic waste play important roles in an integrated waste management system by producing a stabilized material that can be utilized as a source of nutrients and as a soil conditioner. In this study, the viability of composting for the recycling of sewage sludge and also the possible effects of pretreatment under various conditions on the quality of the end-product were examined. Waste sewage sludge was obtained from a wastewater treatment plant in Hamedan, Iran, and was subjected to aerobic and anaerobic digestions. After analyzing the physicochemical properties of the digest, both treated sludges were composted. A third reactor was also set as control by direct composting of sewage sludge without pretreatment. The composting process was controlled by the measurement of the physicochemical properties of the substrate during and at the end of the process. The results of the analyses showed a substantial decrease in the C/N ratio, pH, volatile solids (VSS), total organic carbon, as well as pathogenic populations; however, a significant increase was observed in the ash and nitrogen contents in the compost obtained after anaerobic digestion. Accordingly, it was decided that the compost obtained, especially after anaerobic digestion, showed adequate degrees of maturity and stability and reflected characteristics, which based on national and international standards made it suitable for agricultural use.

Seven years after the launch of the first Sentinel-1 satellite, its data have been widely used in the scientific community. This study provides the first quantitative analysis of the visibility of the Sentinel-1 mission to the scientific literature through a bibliometric analysis of 1628 articles published in scientific journals during the 2014–2020 period. The main findings show that the number of Sentinel-1 mission-related papers increased significantly over the years, with an annual growth rate of 83%. Remote sensing is the most popular journal where 31.75% of the publication collection has been published. China and the USA are the two most productive countries with a share of 22.30% and 16.22% in the collection. Research based on the Sentinel-1 data covered a wide range of topics in geoscience disciplines. The use of SAR interferometry, focusing on the studies of landslide, earthquake, ground deformation, and subsidence, is the most important research direction using Sentinel-1 data. Image fusion of Sentinel-1 and Sentinel-2 observations for mapping and monitoring applications is the second most important research direction. Other popular research areas are glaciology, soil moisture, agriculture, rice monitoring, and ship detection. This study uses bibliographic data derived only from the Scopus database; therefore, it might not cover all Sentinel-1 related documents. However, this paper is a good reference for researchers who want to use Sentinel-1 data in their studies. The two Sentinel-1 satellites will provide scientific data for years to come, meaning that this type of analysis should be done on a regular basis.

Based on Chinese General Social Survey(CGSS) data, this paper selects ten variables, including height, gender, household registration, and age. Through the statistical analysis of 57,574 survey samples, this study finds that the average height of China’s population has increased by more than 10 cm in the past 100 years. Among the findings, the data indicate the average height of men born after the 1990s is 11 cm taller than that of men born after the 1920s, which has now reached 173 cm, and that the height of women is 10.93 cm taller, averaging 163 cm. The average height of the Chinese population reflects significant differences in gender, region or province, urbanity and rurality, and nationality, among other variables. The average height of men and women gradually increases with the increase of geographical latitude. Some economically developed southern provinces approach the average height of the North. This paper predicts that the average height of the newborn population will continue to have inertial growth in the next 20 years, and the newborn male population will reach the World Health Organization’s ideal height standard of 176.5 cm by 2030. The analysis suggests that geographic latitude and heredity are the determinants of body development. Geographical latitude difference is a super-variable for human mitochondria to regulate the proportion of heat outflow and ATP transformation. Historically, the population living in high-latitude areas of China migrates to economically developed low-latitude provinces such as Shanghai, Jiangsu, Zhejiang, and Guangdong, which is the main reason why the per capita height in these areas is significantly taller than that in other southern provinces.

In recent 20 years, China has made a lot of efforts and achieved some results in air governance. However, it is not ideal from the result. Some areas of pollution also affect the daily life and physical and mental health of the people, which is an important environmental problem that China needs to solve. This paper presents a double star cooperative AOT inversion algorithm with complex background in urban area. Aiming at the difficulty of AOT inversion on urban area highlighted surface, the paper uses the double satellite remote sensing data and the atmospheric radiation transmission model to realize the inverse reflection of AOT parameters in urban area by using satellite remote sensing image processing. With the development of society, the progress of the times, and the rapid development of urbanization, the environmental pollution problems in some areas also follow. However, this problem is more difficult, because it involves many factors. At present, there is no comprehensive evaluation model to comprehensively evaluate various pollution situations. In this paper, we have carried out a detailed study on the typical model of mountain air pollution and the evaluation method of mountain air pollution. This work provides a practical solution for simulating the air pollution in mountain areas and analyzing environmental data. With the development of economy, people pay more attention to tourism, and the construction of tourism brand has become a trend. Higher and better service has become a new pursuit of consumers in the process of tourism, which makes more rural people get rid of poverty, and further improves the attention and protection of ecological environment. Therefore, this paper studies the assessment of mountain air pollution and the construction of tourism brand by using remote sensing image processing technology, which promotes pollution prevention and tourism industry development.

With the development of information technology, random forest algorithm has become one of the most widely used mining algorithms with its high classification accuracy. The classification performance of traditional random forest algorithm in the medical field is significantly reduced, and it will take longer to build multiple decision trees of random forest itself. In this paper, the South China Sea is selected as the research area, the groundwater cold water and hot water in this area are comprehensively investigated, and the formation conditions and genetic mechanism of the groundwater hot water system are deeply analyzed. As a traditional national sport, Wushu teaching has a profound cultural heritage, which is essential to promote the physical and mental health of college students. In order to speed up the development of Wushu education in colleges and universities, the following measures are put forward: strengthen the construction of Wushu teachers; enrich the content of martial arts teaching action; strengthen the docking of theory and technology; and make full use of the latest teaching methods to improve the quality of education. As an important part of China’s education system, the rapid development of university education in recent years has provided China with a large number of high-quality workers and highly practical technical talents. It plays an important role in China’s economic construction and rapid social development. Therefore, this paper uses the random forest algorithm technology to study the geochemical characteristics of the South China Sea and the content of teaching action simulation. Based on the research of random forest algorithm, this paper applies it to the study of geochemical characteristics of the South China Sea and martial arts teaching action simulation, which promotes the better development of martial arts teaching.

The purpose of this paper is to analyze the diffusion and interaction of air pollutants in different cities, and point out a method to evaluate the efficient correlation between air pollutants in the data of cities and nearby areas, so as to establish the air pollution information of surrounding towns. In addition, this paper analyzes the weather forecast according to the mobile migration and the impact of rural green tourism. Tourism is increasingly becoming a tool for achieving sustainable development, especially from the perspective of poverty reduction. The number of overseas travel receipts increases and can be recognized as the easiest way to reduce poverty. Strategic research aims to use tourism to alleviate poverty a significant amount, but there is little understanding of macro levels of poverty alleviation, especially at different levels of poverty. Mature tourist objections require a consistently expanding assortment of items and markets. To be effective, this system requires a point by point comprehension of the degree of likely sightseers and utilization designs. Experimental examinations on the travel industry burning through the will, in general, utilize standard least-squares relapse for this reason. Most important of this technology, however, is that it is higher, has significant limitations, and is unable to distinguish below average tourists. Intra-digit regression also considers exploration of the overall conditional distribution of a given predictor response variable, thus producing a more comprehensive map of significant predictors.

This paper has been prepared to detail the main theme of the paper titled “A Comparative study on the application of artificial intelligence networks versus regression analysis for the prediction of clay plasticity” and to improve the content integrity in addition to being a reply to the discussion paper of O’Kelly and Soltani (2021).

In agricultural production, the critical basis and prerequisite are the environmental climate resources related to agriculture. Agricultural environmental-climate resources are also important factors to solve the problems of environment, resources, disasters, and population. However, due to the extensive distribution of environmental climate resources in the whole earth biosphere and the disorder in time and space allocation, it is almost impossible to obtain the relevant information about the changing trend of a particular area or a specific period the traditional monitoring technology. It is impossible to predict and timely monitor the environmental climate resources effectively. At present, spatial information technology is used to obtain the relevant information of the environmental climate change trend in a particular area and to monitor the environmental climate resources effectively and analyze and forecast the changing trend. With the help of relatively new technology, combined with the main characteristics of clothing design, this paper explores the relevant history of fashion design, its explicit form, and corresponding connotation, carries out in-depth and scientific research and discussion, and provides a new way for innovation of modern clothing by deconstructing the image characteristics of clothing. Also, this paper studies agricultural climate change and the distribution range of climatic factors related to agricultural production. The spatial surface characteristics of the agricultural climate elements are preliminarily obtained by remote sensing technology. The parameters reflecting the agricultural climate change and distribution are conveniently used—the trend and characteristics of agricultural climate change in recent years. The distribution in different regions and the main features of agricultural climate factors were obtained, which laid a good foundation for exploring agricultural regionalization and regional land resources development and production potential.

Many digital laws are interdependent, which can be explained by time series model. In addition to interdependence, they are also affected by other factors, showing a nonlinear relationship. Based on the statistical data of parameters, this paper studies the biomineralization in coastal areas. With the rapid development of modern industry, coastal cities with ports as the center are developing rapidly, and coastal leisure areas are also developing rapidly. Therefore, the coastal economy and a large number of immigration activities lead to the shortage of coastal resources near the city, which requires people to use specific manual intervention methods to protect and manage coastal resources. Biomineralization has attracted extensive attention and research in the field of materials science due to its relatively simple structure, excellent mechanical properties, and environmentally friendly synthesis conditions. Nacre of shells has always been a classic research topic of biomineralization. Due to the particularity of the profession, college teachers often have a certain degree of burnout, and this phenomenon is becoming more and more serious. The job burnout of university teachers will seriously affect the physical and mental health of teachers, easily lead to turnover psychology, make the school lose more backbone teachers, and affect the normal operation of the organization. Job burnout is because university teachers play an important role in the cultivation of high-level talents in China. Therefore, the increasing demand of society and universities for teachers has brought invisible pressure. College teachers’ job burnout includes emotional exhaustion, depersonalization, and low sense of achievement. In this paper, through the research of parameter statistics and coastline biomineralization, it is applied to the research of university teachers’ job burnout, which promotes the vigorous development of higher education.

This paper mainly studies the problems related to the evaluation of high slope intelligent area under rainfall conditions and, through the unified design method, saturation unsaturation theory, marginal equilibrium neural network theory, and GIS, based on Fengjie area, studies the rainfall conditions and the evaluation of high and low slope stability in intelligent area. This paper provides a positive research and practice way for GIS intelligence and is establishing an intelligent regional evaluation system based on GIS platform. As the goal of high slope stability research under rainfall conditions, the intelligent regional evaluation map based on slope stability can become an important basis for Fengjie region to prevent and control global disasters. Although football training is scientific, scientific and reasonable use of nutrition intervention measures can improve the training efficiency of football players, increase the time of athletes to bear the extreme sports load, delay the fatigue of sports, and ultimately improve the performance of athletes. This study is based on the investigation and field test of nutritional intervention of football players and puts forward and proves the practical basis and empirical effect of nutritional supplements in football players. The purpose is to provide an effective basis for supporting football players’ nutritional supplements through targeted case studies. According to the research of GIS, it is applied to the slope rainfall and football training nutrition intervention, which can effectively improve the slope rainfall and football training nutrition intervention.

This paper contains a large number of radar data information, analyzes the radar scattering characteristics of water masses in different imaging areas, such as quiet open area, wave area, agricultural area, and compares with the application of high-resolution SAR image extraction algorithm. We also use the data analysis of the data center to explore the evolution characteristics of the high-level and low-level atmospheric circulation and water vapor transport field before and after the beginning and end of the rainy season precipitation anomaly in Southwest China. Then, the low-frequency evolution characteristics of the precipitation anomaly series in the rainy season in Southwest China are analyzed, and eight phases are divided according to the 20–60 day intraseasonal oscillation of precipitation, which provides convenience for the transportation of low-frequency water and air. Thirdly, the method is applied to aerobic exercise. However, people with low blood glucose regulation are generally overweight, and drug treatment itself cannot change their health. Exercise has always been the most effective way of muscle strength training. If aerobic exercise and resistance exercise are combined, it can be combined exercise training. If the sequence and duration are long enough, excess sugar in the body can be burned. Training resistance can be used to improve muscle function and maintain strength. Therefore, the process of aerobic exercise is very important for people with poor blood glucose regulation, and it can also provide more meaningful and targeted concept development for the treatment of diabetes. In order to promote the development and application of SAR map, this paper studies the relationship between abnormal precipitation in rainy season and blood glucose regulation of teenagers during aerobic exercise, and applies it to the study of SAR map.

With the rapid development of China’s economy in recent years, the prevention and control of groundwater pollution has become increasingly acute. With the increasingly serious environmental problems of groundwater, it is of great significance to study groundwater. In order to correctly understand the groundwater environmental quality in a certain area and make the groundwater pollution monitoring more targeted, it is urgent to optimize the existing monitoring indicators. By analyzing the direct and indirect effects of features on anomaly detection, this paper designs redundant feature deletion mechanism and feature importance evaluation mechanism, and proposes a mixer mode feature selection algorithm to select groundwater pollution features quickly and accurately. Then, the method of anomaly detection is improved by using the feature selection algorithm, and an anomaly detection technology based on groundwater feature selection is proposed to improve the detection accuracy of all kinds of abnormal data. With the improvement of the living standards of Chinese residents, the demand for sports fitness services is also growing, and the sports fitness consulting service industry supported by the state is also expanding to other fields, which also provides a market for sports fitness consulting services. This paper mainly analyzes and studies China’s sports fitness consulting market by using the methods of literature data, questionnaire survey, expert interview, and case study. Using the relevant knowledge of marketing, based on STP theory, this paper puts forward corresponding strategies from the aspects of product marketing, price marketing, marketing channels, and marketing promotion. Based on abnormal data processing, this paper studies the characteristics of urban groundwater pollution and sports health market.

Groundwater is the only source of water for the development of oasis agriculture. However, due to the lack of scientific groundwater management and excessive exploitation, there are also varying degrees of problems in irrigation technology and crop planting structures, which have caused the oasis’s groundwater level to decline year by year, water quality deterioration, soil salinization, desertification, and vegetation degradation. With serious consequences, these problems continue to threaten the ecological protection and agricultural development of the oasis. This article focuses on the hydrological and ecological problems of oasis caused by over-exploitation of groundwater resources. Taking oasis as the research goal of this paper, combined with the ecological idea of “coordinating the development and utilization of water resources and ecological environment protection to achieve sustainable development”, this paper studies the data mining technology from the perspective of data mining, and focuses on the application and popularization of neural network in the marketing evaluation of the telecommunications industry. This article will introduce the development status and application fields of data mining technology and neural network technology, discuss the current status and future development trends of marketing plan evaluation methods in China’s electronic communications industry, and explore the current domestic telecommunications industry’s use of manual statistics and evaluation of marketing policies The author will use data mining, artificial intelligence, complex network analysis and other research methods to break through the boundaries of traditional user trend research. Based on various index data in corporate marketing and feedback data after marketing, the evaluation model based on BP algorithm is further developed, and the telecom marketing evaluation model makes up for the shortcomings of manual analysis.

With the rapid popularization of the Internet plus China and China’s rapid economic development, machine learning is playing an increasingly important role in model research. This paper presents a cold start method based on a hybrid Dirichlet process model and isolated forest. As we all know, the soil rock mixed slope is between the slope of soil and rock, most of its structure is loose and has large porosity, high permeability, and poor slope stability. Compared with soil slope and rock slope, the research on soil rock mixed slope is not comprehensive enough. Based on the study of geological environment conditions of highway slope, the mechanical properties of soil rock mixed slope are tested by traditional boundary equilibrium method and numerical simulation method. The stability of the three-dimensional slope is systematically studied in this paper. Nowadays, the mental health of left-behind children is still the focus of social attention. In this paper, a special school for left-behind children in a city is selected as the research object. The school is located between urban and rural areas. Since the children who stay in the school are from urban and rural areas, they will be selected as the research objects. Compared with ordinary children, left-behind children are more likely to have concerns, and their psychological changes are difficult to predict. What is more worrying is the long-term mental health problems. This paper aims to find the correlation between sports games and left-behind children’s mental health by introducing sports games in order to provide some methods and theoretical reference materials for solving the mental health problems of left-behind children.

With the continuous development of social construction, China’s economy has a significant growth. But there is a problem of air pollution in mountainous areas. Statistics show that more than 70% of China’s cities exceed the air quality standard every year. Taking PM2.5 as the characteristic area of air pollution in a certain area, it is becoming the most urgent and important environmental problem in J urban agglomeration. At present, China has built a national ground monitoring network of air pollutants, but the existing monitoring stations are concentrated in urban areas. Suburban and rural areas without monitoring stations need to carry out air quality assessment, pollution prevention, and prediction, so these places have become “blind areas” for research. The factors that affect PM2.5 pollution are very complex, and the regional differences are also very obvious. It is difficult to determine the temporal and spatial distribution of PM2.5 concentration and the change mechanism only by using limited observation data at monitoring stations. The fuzzy multi-attribute of aerosol optical depth (AOD) products produced by satellite remote sensing provides an effective method to understand the distribution of air pollutants, pollutant diffusion, and pollution sources in a region. This paper also adopts the methods of field investigation, interview, and other investigation methods to investigate and analyze the ecological situation, the current situation of regional activities construction, and the existing problems of folk sports culture in China’s basin area. Based on fuzzy multi-attribute and mountain air PM2.5 detection, this paper applies it to the construction of folk sports activities, so as to promote the ecological environment development of Chinese folk culture.

Chain pillars are designed to provide support to the gateroads that are subjected to changing loading conditions in a longwall coal mine. The pillar and gateroad stability is significantly sensitive to the in situ stress and extraction-induced stress caused by the longwall panel. This paper presents the monitoring results of surrounding rock deformation and ground subsidence during the extraction of a coal mine’s first panel. The monitoring period of the surrounding rock deformation starts when the extraction face is 150 m away from the monitoring site until the extraction face passed the monitoring site for 465 m. Panel-scale models were generated for estimation of extraction-induced loading which was then applied to pillar-scale models. The monitoring data set was used to validate the numerical models that simulate the abutment stress conditions and surrounding rock response of the entry. The validated model was then applied to further analyze the stability of the pillars for various optimization plans. This paper demonstrates the potential of the validated model to assist mine engineers to design and optimize the chain pillars in the longwall coal mine.

Sand production has a direct effect on the hydrocarbon reservoirs during the petroleum production process. Sand particles produced in the production process lead to having certain negative results on the production of the well, and it also affects the subsurface service equipment lifetime, for example, well integrity, pumps, and flow line pipes. Production companies have used different techniques to manage sand production. Gravel packing is one of the most common techniques used by the companies. In order to sustain the sand ability to prevent sand production, selected sand used as a gravel pack should be under certain criteria and standards (API and ISO). In this paper, several tests have been conducted to test the ability of local sand samples that are collected from different areas in Oman to be potentially utilized in gravel packing. Wahiba sands in Sharqiya region in Oman are the area under study and different sand samples from different area locations have been collected. To test the eligibility of local sands, different standard tests have been conducted. These tests include particle size distribution, roundness and sphericity, acid solubility, turbidity, crush resistance, and density. As for comparison, an Ottawa gravel sand sample, used in gravel packing, has been also tested to find out its general features. The study region and other regions never studied in Oman provide local materials instead of importing gravel to be used for industries. In addition, this paper can be considered a new addition to the literature and the industry. Experimental findings resulted from testing Wahiba’s sands met the required specifications as the particle size distribution of size 40/70 has been reached after using the extra process of sieving analysis. Other tests of sphericity, roundness, acid solubility, turbidity, crush resistance, and density also met the International Standards Organization (ISO) standards. For blocks B, D, and E, the sphericity and roundness values are less than 0.6, acid solubility results are less than 3%, turbidity values are less than 250 (FTU), and crush resistance is less than 8%. Project cost as of local availability is the main advantage of Wahiba’s sands to be utilized in gravel packing applications.

In recent years, learning based super-high resolution image reconstruction technology has been rapidly applied. It also has good development and application effect in related fields. So in this paper, by combining the characteristics of SAR image, the learning based super-high resolution image reconstruction technology is added to the field of super-high resolution image reconstruction, and has been applied in reality. Image classification and ultra-high resolution technology are closely integrated. However, because the hardware facilities of some equipment are relatively expensive, and will inevitably be affected by other factors in the imaging process, in order to better study the influence of the increase of dissolved total solids in groundwater on the water level in the core of the funnel in the plain area, and the main components of the increase of dissolved total solids in groundwater. Every country in the world is carrying on a kind of propaganda to its national image, which is also a main manifestation of the overall level of the country. This paper studies the process of City English translation, makes corresponding analysis and preparation before city English translation, and pays attention to relevant reply and report after city English translation. This paper focuses on the construction system of City English translation and the improvement of the ways and methods of using English to publicize the city. Through the construction of City English translation system, this paper expounds the influence of Public English translation in City publicity construction, and changes the corresponding strategies for high-resolution image processing, so as to make English translation more accurate for the change process of total dissolved solids in groundwater, and improve the ability and level of City English translation.

In fact, the groundwater pollution caused by the acceleration of industrialization and rapid population growth is an important constraint to sustainable development. Taking L area as an example, this paper finds out the differences of groundwater vulnerability in this area and plans the groundwater vulnerability classification. For China’s groundwater protection work, it is very important for the management departments at all levels in each L area to provide development technology support for enterprises. Based on the concept of groundwater quality vulnerability and groundwater vulnerability assessment method in Japan, according to the actual situation of the study area, this paper analyzes the vulnerability of natural geography, meteorology and hydrology, geological conditions, and human activities in the area. This paper establishes an optimized and improved DRASTIC model and adds the evaluation factors affecting human activities into the evaluation conditions of traditional DRASTIC model, that is, the current land use status and groundwater exploitation. By combining bee colony optimization with groundwater vulnerability assessment model, groundwater vulnerability assessment is carried out. This paper also uses the special computer system to simulate the decision-making process of medical staff, provides obesity intelligence diagnosis and personalized prescription exercise, carries out exercise weight loss monitoring for obese teenagers, helps teenagers to achieve healthy exercise and diet, and provides scientific guidance for fitness guidance of Chinese diet youth. The system adopts the methods of artificial intelligence and software development, diagnoses obesity through youth physique test, provides personalized exercise prescription through special system, monitors diet work in real time, and provides timely feedback. In this paper, the vulnerability of groundwater quality and exercise weight loss effect of real-time monitoring are studied and applied to bee colony optimization to promote its development.

This paper studies the real-time monitoring of rainfall and atmosphere characteristics and college students’ physical training based on target tracking algorithm. In this paper, we use the target tracking algorithm, combined with the GNSS observation stations of BJFS, LHAZ, URUM, CUSV, and PIMO, to calculate the change of rainfall atmosphere characteristics of ULUM station, and then get the PWV above the ULUM station, and compare the PWV obtained by the radiosonde station with the ground-based GNSS inversion results to verify the change of rainfall atmosphere characteristics based on the target tracking algorithm. In order to solve the problem of inaccurate tracking and positioning when the background is cluttered, a target tracking algorithm based on channel reliable local rank transform is proposed. The local rank transform feature combined with lab three-channel image is used to form 16-dimensional feature channel, from which the effective feature channel is selected for fusion to enhance the expression ability of the algorithm for target features. The experimental results show that, compared with the feature channel selected by reliability coefficient, the local rank transform feature channel selected by experience has better tracking effect in specific scene and more accurate position estimation of target. At the same time, with the transformation of China from a sports power to a sports power, sports training is scientific, science and technology help sports, and the guarantee system of sports science integration is gradually improved. The state attaches great importance to the role of science and technology in the training of college athletes, and has purchased a set of Firstbeat sports monitoring system to monitor the athletes’ heart rate in real time. A scientific research group is set up to provide scientific and technological services, record the heart rate of athletes during training and competition, so as to determine the “load characteristics” of athletes, and explore the monitoring of athletes’ training with heart rate as the object, so as to improve the training quality of athletes.

In this paper, we will use MATLAB to create a Markov model, determine the input and output membership functions of the study area, and import the data of the study area into the model. The ROC method is used to prove the accuracy of the sensitivity distribution map of mountain landslide disaster and the feasibility of the model in the sensitivity assessment of mountain landslide. It also shows the reliability and applicability of the selected factors. Based on GIS technology, the influencing factors of sensitivity coefficient of landslides in mountainous areas can be extracted. According to the spatial distribution characteristics of landslides, six influencing factors of landslides and their spatial distribution relationships are analyzed: height, slope, geological lithology, terrain curvature, terrain humidity index, and runoff intensity index. Training management combined with aerobic exercise is helpful to improve people’s body shape. The effect of “resistance training + aerobic exercise” training method adopted by experimental group 1 on body shape is the most significant. The arm circumference of the male experimental group increased, while that of the female experimental group decreased. In the training management, different combination methods of resistance training and aerobic exercise have no significant effect on the improvement of the muscle strength of the subjects after the experiment. By analyzing and comparing the changes of cardiopulmonary function indexes of the subjects before and after training, this paper expounds the training effect of blood flow restriction under different pressures combined with low-intensity aerobic exercise on cardiopulmonary function. In this paper, through the study of the Markov model and mountain landslide sensitivity, it is applied to aerobic training management, which promotes the better improvement of people’s body shape.

The main research content of this paper is VR visualization allocation algorithm which can realize memory optimization. The use of this algorithm can effectively reduce the redundancy of modeling and centralized processing of multiple models, reduce the time consumption, improve the efficiency of modeling, and ensure the smooth operation of VR visualization system. It is important to note that the economic development of the region will affect the visualization effect, especially when studying the water shortage in high-level areas, so in the actual water resource problem-solving process, the cross basin water transfer method is often adopted. The inter basin water transfer project needs to span the distance of time and space in the process of implementation. It has the characteristics of multi-objective, multi task, dynamic change, and unknown. These characteristics determine that the inter basin water transfer project is a complex and arduous task. Water diversion project is born to solve the uneven distribution of regional water resources, which can effectively solve the problem of water supply and consumption. In addition, the water diversion project can also improve the ecological conditions of the region and can also improve the quality of drinking water in the receiving area, so as to improve the quality of life of the people in the region. With the continuous progress of society, urban construction began to pay more attention to public art. This paper studies the current situation of public art in modern cities in China and puts forward plans and suggestions in line with China’s national conditions according to the actual situation and prospects the future development of urban art in China. Urban public art originated in Western countries and developed rapidly after entering China. It is perfectly integrated with Chinese culture, forming a unique development path for China.

Lifelong learning algorithm based on Bayesian model can receive data continuously and update the model dynamically in real time. It is suitable for the processing of scalability and data flow pattern. It is one of the hot spots in the field of machine learning. Aiming at the problem of continuous learning of data stream, this paper studies Bayesian model design, parameter reasoning, and multi-data processing. Then, according to the product operation of wavelet transform and short-term monitoring support vector machine, the precipitation dynamic estimation method of rainfall radar multiplier in mountainous area is proposed. Based on the precipitation data of East China in 2019 and the rainfall data observed by radar in mountainous areas, and taking the estimated time as the reference, the radar reflection and rainfall data in mountainous areas in the first 30 min are selected and converted into wavelet field as the training data, and then the dynamic precipitation estimation model is established by using vector medium, and the precipitation in mountainous areas is estimated at 6-min intervals. Finally, this paper makes an intervention study on college students’ mental health. The research object is a university student. The subjects are divided into two groups by using random clustering samples. There were 779 people in the experimental group; the other group was the control group, with a total of 355 people. In order to improve their mental health literacy, we should change the implementation of mental health education curriculum. The changes of dependent variables include self-reported mental health literacy, self-efficacy of coping with psychological problems, and behavior attitude of seeking psychological help. Based on the above Bayesian model and intervention research, this paper intervenes the mental health education of college students, so as to improve the mental health quality of college students.

Due to the significant impact of air pollution on visibility, it is also the most visible environmental problem for the public. This paper analyzes the application scenarios of data mining in the air pollution monitoring system, combined with the target of air pollution anomaly detection, mainly researches classification algorithms and outlier detection algorithms, and proposes an air pollution feature detection method based on data mining. A large number of experiments were carried out before the system integration to verify its effectiveness. Based on the abovementioned new architecture, this paper designs and implements an air pollution real-time monitoring system, which can display air pollution data in real time through rich charts, and integrates and applies air pollution anomaly detection methods to the system’s alarm module. The system can help data center managers monitor the air pollution in the data center and notify the managers to check the atmospheric abnormalities in time. In this article, data mining is also applied to the real-time monitoring of college students’ physical and mental health. A real-time monitoring system is designed for college students’ physical and mental health. A new system architecture is proposed through frequent data push and data IO scenarios, which can effectively monitor the physical and mental health of college students. In this article, data mining technology is used to monitor the characteristics of air pollution and the physical and mental health of college students in real time, which provides a new method for the treatment of air pollution and the protection of the physical and mental health of college students.

This paper studies the detection of rare earth elements (REEs) in groundwater and the intervention of dance training fatigue based on synthetic aperture radar (SAR) imaging algorithm. Among them, the radar 3D imaging technology is to add a new synthetic aperture in the direction perpendicular to the 2D SAR imaging plane, so that 3D imaging can be carried out. The two-dimensional SAR plane image is obtained by two-dimensional matched filtering of the echo signal. It is the result of the projection of the real three-dimensional space on the range azimuth plane. Each pixel value of the two-dimensional SAR plane image is the result of the superposition of all scattering points with different heights in the same range azimuth unit in the three-dimensional space. There are geometric distortions such as overlap, shadow and stretch, which results in the lack of three-dimensional information. Groundwater is the main water source of the plain, accounting for more than 70% of the total water supply. The study of evolution law of groundwater chemical composition based on SAR imaging algorithm is not only helpful to provide scientific data for the sustainable development and utilization of groundwater in plain, but also helpful to further understand the hydrogeochemical process of groundwater in plain. The spatial distribution, temporal development and REE distribution of the main components of shallow groundwater and deep groundwater in North China Plain were investigated. Finally, according to the theory of modern physiology and traditional medicine about the research results of sports burnout, this paper selects the university students who specialize in sports dance as the research object and uses the methods of literature, question table, interview and mathematical statistics to investigate. It can be found that among the three kinds of sports burnout, physical burnout starts first, and then visceral burnout, the last is the sense of mental weariness. There are some differences between boys and girls in fatigue parts. Modern dance is more likely to cause chronic fatigue than Latin dance.

The soil–water characteristic curve plays a key role in the study of unsaturated soils, which is the basis of unsaturated soil theory. In the paper, three different test methods, including the pressure plate test, filter paper test, and vapor equilibrium test, are used to measure the soil–water characteristic curves in the full suction range of Hunan clay samples with different initial dry densities, and the Fredlund-xing (FX) model, Van Genuchten (VG) model, and Gardner model were used to fit and analyze the test data. The effect of initial dry density on soil–water characteristic curves in the full suction range is investigated, and the differences in the effect of different models on the fitting of soil–water characteristic curves in the full suction range are analyzed, and the feasibility of obtaining soil–water characteristic curves in the full suction range based on finite experimental data is discussed. The results show that the lower the initial dry density, the greater the volumetric water content of the soil sample in the lower suction range. In the medium suction range, the lower the initial dry density, the lower the volumetric water content of the soil sample. In the high suction range, the initial dry density has little effect on the soil–water characteristic curve. The FX model provides a better fit than the VG and Gardner models. The prediction of soil–water characteristic curves for the full suction range based on finite data depends on the selection of the model and the prediction range, and the FX model’s predictions are the closest to the measured values.

In this paper, the BP neural network is optimized by using the network prediction algorithm to eliminate the shortcomings of the traditional BP neural network, such as local minimum and slow convergence speed, and the performance of the network prediction model is determined through comparative simulation experiments. Then, ABAQUS is used to create a numerical finite element model of river ecological bank slope, and its stability is analyzed by numerical simulation. The main factors considered are the change of water level in the canal, the influence of precipitation, and the influence of ship waves. On the basis of finite element analysis, combined with multilanguage programming method, we completed the construction of river ecosystem slope stability early warning platform based on GIS and finite element technology. Secondly, the shallow root reinforcement and deep root vegetation anchorage are determined to improve the stability of the bank slope, so as to better guide the design and application of riparian ecological protection projects. Finally, the network prediction model is used to monitor the effect of weight loss, then find the maximum fatty acid strength of overweight people, and make Fatmax weight loss plan for overweight people. In addition, we will compare the effect of Fatmax weight loss exercise program on various body functions of obese people in normal and hypoxic environments, so as to provide reference for those who are going to lose weight. In this paper, through the study of network prediction model and river ecological slope stability, it is applied to the research of sports weight loss effect monitoring, which promotes the better development of sports weight loss.

According to the ICPP report, by the end of this century, global temperature will rise, leading to sea level rise and frequent extreme weather conditions, and ecosystem services and biodiversity decline, threatening global food supply and human safety and health. Soil organic carbon is the largest carbon pool in terrestrial ecosystems and plays an important role in global greenhouse gas balance. Enzymatic reaction is the rate-limiting step of SOC degradation. Therefore, it is necessary to understand the heating characteristics and the binding characteristics of SOC and soil enzymes. This relationship is very important for soil carbon sequestration and emission reduction. On this basis, combined with the adaptive weighted data fusion technology, this paper uses the clustering algorithm to optimize the dual sensor cluster to study the active components of mountain soil. With the development and popularization of the Internet, the Internet has become an important part of students’ study and life. A network learning platform can make smartphones become an important learning tool, so that students can learn new methods and teachers can provide new ideas and models of English teaching, and combine information technology to improve the efficiency of English teaching, thus greatly improving the students’ interest in learning. In this context, the traditional teaching evaluation method should be changed, and students should be regarded as the core part of classroom evaluation, so that teachers can have a more complete understanding of students, pay attention to students’ personal needs, and achieve the goal of obtaining high-quality education. Therefore, this paper analyzes how to effectively evaluate English teaching according to informatization, and puts forward several effective strategies.

In this paper, cloudsim cloud simulation tool is studied, and its running environment is reasonably configured. Taking the platform as the background, the improved genetic algorithm proposed in this paper is used for simulation experiment that is to optimize the genetic algorithm through simulated annealing behavior. Through the simulation experiment of the improved genetic algorithm, it can be known that the genetic algorithm designed in this paper can satisfy multiple customers one by one and has a certain improvement effect on cloud service quality. In this paper, the problem of rainfall anomaly in city D is studied. The results show that the rainfall anomaly of city D is related to solar activity, 500hPa height field in winter and SST in the Central South Pacific from June to August of the previous year. It is found that there is almost no rainfall during the high solar activity years, while there is frequent rainfall near the low solar activity years. Finally, according to the homomorphic encryption mechanism, this paper studies the protection of data confidentiality in computer network security and the multistorage technology of big data. In this research scheme, by adding a certain number of virtual objects to two different computing information dummies, we successfully protect the data such as the number of items owned by the data owner, the content of the items owned, and the item objects called by the user. In addition, this paper uses bilinear mapping and RS coding technology to create related protocols to solve some problems, such as infinite verification of big data integrity, error data recovery, and protection of data owner’s computing resources. Through the design of solutions to the above problems, this paper successfully completed the protection of big data resources and network security based on cloud computing environment.

In recent years, many cities in the world have been hit by the high temperature heat wave and suffered heavy losses. And many coastal cities have been affected to a certain extent. Through reasonable urban form and architectural design to cope with the heat wave, improving the city’s ability to cope with high temperature has become an important planning and mitigation strategy to adapt to urban high temperature. In this paper, big data is applied to the study of coastal weather characteristics. From the perspective of urban planning and architecture, the interaction mechanism of coastal weather characteristics is discussed by using quantitative analysis methods such as correlation analysis and spatial regression model, which provides an important basis for the planning and urban design of high temperature heat wave. Then, taking urban morphology parameters, land use parameters and LST as variables, Pearson correlation coefficient was calculated by SPSS and GeoDa tools, and a spatial regression model was established to explore the quantitative relationship between coastal weather characteristics and land surface temperature. In the Pearson correlation coefficient, the correlation between vegetation coverage and LST is the largest, showing a negative correlation, with the coefficient of −0.595; 595. In addition to coastal climate types, the correlation between building density and LST is the largest, the coefficient is 0.360, positive correlation, the correlation is the smallest. With the application of big data technology, the tax collection and management mode will develop in the direction of intelligence, efficiency, fairness, and accuracy. Big data technology will provide a new direction for the research of coastal meteorological characteristics and the optimization of urban enterprise finance and taxation. In this paper, through the study of coastal meteorological characteristics of big data, it is applied in the city enterprise financial tax, to promote the enterprise financial tax more standardized.

This paper mainly from the structural equation through conventional measurement and visual measurement model, analyzes the relationship between groundwater heavy metals and it, to establish the measurement model on the spatial distribution of groundwater heavy metals influencing factor model, analyzes the influence effect of various indicators on the spatial distribution of groundwater heavy metals, and their mutual influence effect. However, due to many characteristics of heavy metal groundwater, long-term use and management, it has become the research focus in the field of potential environmental protection, and has become an indispensable part of this study. Heavy metal pollution in groundwater not only endangers the safety of ecosystem, but also seriously damages the health of residents. A typical integration area between urban and rural areas is selected to understand the current situation of heavy metal pollution in groundwater, analyze the spatial distribution characteristics of heavy metal ions, and conduct qualitative and quantitative research on heavy metal pollution sources in groundwater, which has important theoretical and practical value for promoting urban sprawl, It also provides a scientific basis for the local government to formulate the strategy of protecting water resources. Of course, this problem also has a certain impact on leisure agricultural tourism, and leisure agricultural tourism is one of the important ways to promote the structural adjustment of agricultural sector and increase farmers’ income, which is also an important practical process of developing multifunctional agriculture. In this paper, through structural equation analysis of underground heavy metal factor model, to understand its impact on leisure agricultural tourism, promote the development of leisure agricultural tourism.

This paper first designs and implements an image defogging algorithm based on FPGA. The hardware design mainly includes SDRAM control module, SD card control module, data transmission control module, and convolution neural network calculation module. The SDRAM control module controls the working state of SDRAM; the SD card control module controls the working state of SD card; the data transmission control module controls the data transmission of reading and writing SDRAM; and the convolution neural network module is responsible for the image defogging algorithm. Based on this point, this paper uses the medium complex ocean atmosphere combination model to estimate the SST diversity and climate characteristics of the tropical coastal Pacific and Atlantic Ocean in recent years, and studies and analyzes the influencing factors of the prediction. The atmospheric part of the coupled model is the global atmospheric circulation model CCM3, and the oceanic part is a simplified gravity model of Zebiak Cane type. In addition, an air filter is added to the coupled model to test the impact of natural noise during broadcasting. Finally, the article investigated the positive effect of swimming rehabilitation training on chronic neck pain symptoms of office workers; Objectives were to study the effect of various swimming rehabilitation trainings on neck pain of office workers and investigate the effect of different swimming rehabilitation training cycles on chronic neck pain symptoms of office workers. Objective was to provide a theoretical basis for the development of exercise rehabilitation plan to improve the chronic pain symptoms of office workers. The results showed that breaststroke training and freestyle training were effective in treating neck pain of office workers. In this paper, the application of adaptive image defogging algorithm and the correction of coastal climate change in the rehabilitation training research has promoted the healthy development and progress of swimming rehabilitation training.

As an important research direction of feature extraction of geoscience data, remote sensing image target detection is widely used in land resource survey, environmental monitoring, disaster prediction, and many other fields. In view of the lack of semantic information in remote sensing image targets, the dense distribution of detection targets and the complex background are prone to imbalance between positive and negative samples resulting in low accuracy. This paper proposes an improved method based on the combination of self-attention mechanism and feature pyramid network (FPN). Feature up-sampling at the end of the Darknet-53 network of YOLOv3 is carried out twice, and an attention mechanism to each feature up-sampling is added to enhance the semantic information of the output layer and suppress other useless information. Then, feature pyramid network is used for multi-layer feature fusion to increase the weight of positive samples, improve the extraction ability of deep features, and alleviate the imbalance between positive and negative samples. Experiment with different target category is conducted on UCAS-AOD dataset and DOTA dataset. First, data enhancement is performed by performing operations such as color gamut transformation, image rotation, and image resizing and then tested on single, two, and four types of datasets. The results show that the improved network on a single type of dataset reduces mAP (mean average precision) by 4.38%, while the mAP is increased by 5.11% and 1.25% on the two types of datasets and the four types of datasets, respectively. It is proved that the method proposed in this paper can effectively improve the average detection accuracy of multiple types of targets in remote sensing images.

This paper proposes a matching pursuit algorithm, which improves the reconstruction speed by optimizing the least squares problem, thereby further simplifying the hardware implementation. Hardware implementation architecture of FPGA-based matching tracking algorithm is designed, which is composed of three main parts: calculation module, memory module, and control module, and Vivado software is used for extensive simulation experiments. River wetland ecological assessment and monitoring are based on the three basic types of river wetland ecology and proposes strategies for the development of river wetland ecological restoration models, water system restoration, and topographic and geological restoration. At the same time, the related repair techniques and methods are further summarized. In addition, this article discusses specific methods of applying restoration strategies to park construction based on wetland parks, and studies the protection and utilization of wetlands from the perspective of river types. Matching tracking also plays an important role in the training of university entrepreneurs. This article affirms the status of higher education in university entrepreneurship education and advocates the value of higher education in entrepreneurship. By analyzing the diversified development of China’s entrepreneurship education curriculum, we have discovered its existing problems. At the current stage of China’s entrepreneurship education, based on the experience of American entrepreneurship education curriculum reform, combined with the status quo of China’s diversified entrepreneurship education, there are new ideas for education curriculum reform. This paper mainly studies the ecological prediction of river wetland with matching tracking, and applies it to the research on the diversified development of university entrepreneurship education, which promotes the enthusiasm of university students to start their own businesses.

In this paper, we use Monte Carlo simulation method to estimate the intra group correlation coefficient of the whole group of random sample classification design and recalculate the sample size according to the intra group correlation coefficient. Using this method, we can easily calculate the correlation coefficient and sample size and use the ODS function of SAS software to get word output. Then random samples are classified. In addition, this paper analyzes the relationship between summer heavy precipitation and spatial-temporal variation of circulation rainfall by using daily precipitation data of meteorological stations, NCEP reanalysis data, and relevant circulation index. Singular value decomposition (SVD) method is used to analyze the spatial correlation between spatial-temporal variation of summer rainfall and 500 hPa geopotential height; with the help of wavelet coherence and cross wavelet transform, the relationship between summer heavy rainfall and Western Pacific subtropical high and the relationship between East Asian summer monsoon and South China Sea summer monsoon are analyzed. Finally, the temporal and spatial variation of heavy rainfall in summer in this area is analyzed. With the development of economic globalization, the distribution of various products among countries becomes more and more frequent. In recent years, the number of imported products from China has increased, and many foreign products have entered the Chinese market. Because only in this way can people of different classes and ages know the basic characteristics and usage of the product. Standardizing English vocabulary translation of imported product description plays an important role in improving user’s product experience and increasing product sales. This paper adopts the method of random sample classification to study the temporal and spatial changes of rainfall and English vocabulary translation, so as to promote the development of imported products.

A reasonable virtual network mapping should take into account the heterogeneity of the computing environment and the diversity of virtual network resource requirements to achieve the goals of load balancing between computing nodes and minimizing remote communications. In response to this problem, this paper focuses on the optimization of mapping methods that take into account the heterogeneous computing environment and the diversity of virtual networks. This paper uses indoor physics experiments and discrete element software PFC2D to study the impact of soil-rock mixture and basketball endurance training management and obtain the direct shear characteristics of normal pressure, rock content, rock shape, and maximum rock size on soil samples. It provides an important reference for the analysis of the influence of soil-rock mixture and the management of basketball endurance training. Construct a multi-scale numerical model to study the influence of rock shape and maximum rock size on the shear characteristics and particle crushing characteristics of the soil-rock mixture. The shape of the rock has little effect on the shear strength of the soil-rock mixture; with the increase of the shape coefficient of the rock, the particle crushing rate gradually decreases. The tactical system of basketball is changeable. In a basketball game, the rapid conversion of offense and defense, high-intensity physical confrontation, high-intensity, rapidness, high accuracy, and long exercise time require every athlete not only to have the characteristics of solid basic skills but also excellent physical confrontation ability and excellent physical fitness, and endurance quality is one of the best criteria for evaluating athletes’ physical fitness.

Ecotourism in coastal cities is becoming more and more popular as a new way of tourism. The experience of tourists’ comfort and the experience of environmental decoration art in coastal cities have become an important indicator affecting the quality of ecotourism. Based on the statistical analysis of climate resources in a certain area in the eastern coastal area, this paper establishes the grid calculation model of climate factors by using multiple linear regression method and uses the data of automatic meteorological observation station to check and modify the calculated climatic element values and then obtains the small grid data and its distribution map of climate resources by using GIS technology platform. At the same time, from the perspective of the comfort evaluation of tourist attractions, this paper makes a quantitative analysis on the three indicators of temperature, humidity, and light intensity. According to the evaluation method, a set of comfort evaluation system is developed by using VBA language and GIS tools. From the perspective of system application, the system can display the comfort related indicators in the form of cloud map in the form of geographic information of tourism area. The effect of comfort evaluation on the target area is achieved.

In statistical survey, except sampling error, the error caused by other reasons is called non-sampling error. Non-sampling errors may affect survey results. This paper mainly studies the emergence of non-sampling error in the system, the corresponding history and culture and related applications, seeks the causes of the error and explores the solutions, and designs a method that can be used to measure. By using this analysis method, the percentage of non-sampling error in the total error can be adjusted through statistics. In addition, the adaptability and path of this measurement method, as well as the adjustment method for the measurement error and estimation problems found in the multi-order model are also studied. As we all know, the subtropical northeast Pacific plays an extremely important role in the whole process of transmission to the tropics. Through the investigation of the physical and mental health, interpersonal relationship, and other problems of the students in a medical college, this paper analyzes the intervention effect of this treatment method by using a variety of treatment methods such as music and song performance organized by the masses, and probes into whether this intervention method can promote the improvement of college students’ mental health level and test the effectiveness of the treatment effect. It provides an important reference for the development of physical and mental health education of college students. This paper discusses the effect of psychological intervention in music education by simulating sea surface temperature with non-sampling error.

Tourism resources excellent area and non-excellent area are relative and can be transformed into each other. The universality of the non-excellent areas determines that it is an inevitable trend to develop it under the current conditions of the times. This paper summarizes the research results of domestic and foreign scholars on the non-optimal tourism resources, analyzes the definition and characteristics of non-optimal tourism resources, and summarizes the current development model of non-optimal tourism resources. At the same time, this paper conducts in-depth and detailed research on the development strategy of tourism resources in non-optimal areas in conjunction with the actual situation. Firstly, the external and internal environmental conditions are analyzed, the current development trend of the tourism market is sorted out, then the tourism resources are classified and organized, and profound comparative analysis and evaluation of tourism resources are made from the perspective of dynamic changes of geographical resources. At the same time, the tourism resources are comprehensively evaluated by expert scoring method, and the range of non-excellent areas of tourism resources is established from the perspective of dynamic changes of geographical resources. Next, then through quantitative analysis, various favorable and unfavorable factors in the process of tourism development are objectively summarized. Finally, the strategies of tourism micro-development are proposed from different perspectives, and some specific initiatives to achieve the micro-strategic goals. Combined with the theories related to non-optimal tourism resources, this paper argues that the micro-development of non-optimal tourism strategies can be carried out by establishing government-led mechanisms, preparing tourism integrated planning, implementing dependent and cooperative development strategies, improving tourism product systems, promoting tourism supply-side reform, and innovating promotional and marketing means, to realize the transformation from non-optimal tourism resources to optimal areas. This research paper not only enriches the theoretical research system of tourism resources non-excellent area but also has some practical guidance significance for the micro-development of tourism resources non-excellent area.