Search

Land desertification develops in a gradual manner and can bring about great natural and social disasters. As an important measure that can benefit the nation, desertification restoration can greatly benefit the whole nation and is the key to the restoration of the ecological environment and sustainable development. Based on citation overview theory and literature visualization tool, this research adopts CiteSpace software for the visualized analysis on environmental restoration studies published in SCIE and SSCI from 2000 to 2020 and statistical analysis based on years, nations (areas), work units, authors, journals and key words. The research results show that the number of published papers issued annually tends to rise in the world, especially China. About half of the published papers come from China, in which Chinese Acad Sci units have the largest number of periodicals but limited international influence. Core journals such as BIOGEOCHEMISTRY, P LANT SOIL and ECOLOGY have made greater contributions to this field and multiple themes have been selected, including Gurbantunggut desert, mycorrhizae, soil restoration, Karst, and vegetation pattern formation. The research can be divided into three stages: The inception stage is from 2000 to 2006 with the protection and control of desertification as the major targets; the development stage is from 2007 to 2016, during which ecological system, policy, and reafforestation become the focus of the study; the third stage is from 2017 to 2020 during which period there is no catchphrase and relevant studies are represented as diversified development. [ABSTRACT FROM AUTHOR]

This paper presents a dynamic monitoring solution for Android. It is not invasive and can be deployed quickly. It also uses plug-in technology to create a host application with monitoring behavior. The application can run as a plug-in and monitor the behavior of host app, so as to load the host app monitored by the host application. Based on this, based on the data of PM2.5 concentration in w City from 2018 to 2020, the paper analyzes the time distribution characteristics and obtains its statistical characteristics, such as the highest average of PM2.5 concentration in summer and winter, and concludes that the conclusion is the lowest in summer and the highest in winter. Secondly, the relationship between PM2.5 concentration and other air pollutants and meteorological factors around the environment is studied by the theory of correlation stepwise regression analysis. Finally, the paper makes a systematic study on the safety of sports training of young female athletes in S Province. Nowadays, in S Province, there are few research literature on the safety of young women athletes in sports training. Therefore, the research test combines literature data method and other research methods to conduct descriptive epidemiological investigation on the safety of sports training. The author puts forward the conclusion countermeasures by taking the research of the avoidance behavior into consideration, which is to say, according to the athletes' technical level, injury, and other factors, and strengthen the application of multimedia teaching, increase interactive teaching discussion, stimulate the interest of athletes' learning, and improve the influence of tactical learning. In this paper, PM2.5 concentration data based on Android dynamic monitoring is applied to the research of sports training security, so as to promote the development of sports training security research. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

In this study, the effect of saturation methods on the SWCC (soil-water characteristic curve) values of the soil (matric suction) was investigated. The objectives of this study are making a comparison between the soil saturation methods and the effect of soil saturation methods on the SWCC. The study also makes a comparison between determining of SWCC using (Whatman 42) filter paper method and Mp6 sensor device. The methods that were studied are the saturation by adding water to the top surface of the sample and sample saturation through the capillary by adding water to the bottom of the samples, and the third used method of saturation is by compacting the soil with a predetermined water content to give a certain degree of saturation. The laboratory specimens were used to evaluate the effect of different methods of soil saturation and methods of sample preparation, on the obtained SWCC, also to compare the results of SWCC that were obtained by using MP6 sensor with the filter paper method. The saturation methods adopted and investigated in this study are the top surface water adding, capillary water raise, and compaction of the soil with predefined water content. The wetting and drying of SWCC have been obtained to all the used saturation methods, by using both the MP6 sensor and the filter paper method. The results showed that the samples that were saturated by the capillary method had higher soil water characteristic SWCC values than those saturated by adding water at the top of the sample surface or those prepared by compacting the soil with a predetermined water content. The comparison between the three methods of saturation reveals that the capillary rise saturation gives a higher value than the top surface water top and the variable water content method for both wetting and drying SWCC cases. Also, the top surface water top gives higher magnitude of SWCC than variable water content method. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

Given the uncertainty in earthquake forecasting, seismic hazard analysis has been considered to be the better method to estimate site-specific response spectra in seismic design. This research addresses a seismic hazard study for the Sarcheshmeh Copper Site in the Kerman Province, in southeast Iran. The first part of this paper includes an evaluation of seismotectonic and seismicity conditions throughout the study area. The second part addresses the seismic hazard analysis procedure followed by the determination of design ground motion parameters which is finally expressed in terms of peak ground acceleration in deterministic and probabilistic schemes. The peak ground acceleration (PGA) was obtained for the 75-, 475-, and 2475-year return period spectrum. (Kijko and Sellevoll's in Bull Seismol Soc Am 79(3):645 654, 1989) method was used for the evaluation of seismicity parameters, and the SEISRISK III computer program was used to conduct the probabilistic seismic hazard analysis. Finally, the third part is devoted to the development of the earthquake design spectrum obtained by dynamic ground response analysis. Site response analysis program, EERA (Equivalent-linear Earthquake site Response Analysis), which implements an equivalent linear approach, was used for one-dimensional ground response analyses. The subsurface conditions including the geometry of the soil layers and their dynamic properties were extracted from the geotechnical investigations. Based on the results, the PGA values for the 75-, 475-, and 2475-year return period spectrum are 0.087, 0.302, and 0.425, respectively. This paper can provide guidance on conducting seismic hazard analyses at other sites. Also, the results could be used for earthquake-resistant design of civil engineering infrastructures of the studied area. [ABSTRACT FROM AUTHOR]

This paper reports the results from an experimental program to examine the effects of adding fly ash and rice husk ash on select geotechnical characteristics of industrial leachate contaminated plastic soils obtained from multiple sites of two different cities in Pakistan. The analysis revealed that the addition of fly ash and rice husk ash in a textile leachate contaminated soil could significantly reduce the plasticity and compression indices while improving both undrained shear strength and compaction characteristics. Similarly, adding fly ash in a paper leachate contaminated soil resulted in marked decrease in compression and plasticity indices, accompanied with a significant increase in undrained shear strength. Based on comprehensive chemical analysis and the results of scanning electron microscopy imaging, the stabilization mechanism of contaminated soils has been presented that would enhance our understanding of this complex process. Furthermore, the practical implication of this study has been demonstrated with the help of a simple case study, whereby a leachate contaminated soil taken from a different site has been treated and results have been presented to demonstrate immediate practical significance of this work. [ABSTRACT FROM AUTHOR]

Disputes over the tectonic setting of the volcanic rocks of the Carboniferous Dahalajunshan Formation in the Western Tianshan Mountains mainly focus on "island arcs" or "continental rifts." In recent years, analyzing geochemical data based on machine learning method and inferring the tectonic background of basalt is one of the important development directions in the application of geological big data technology. In this paper, 30 elements are selected in a targeted manner, and a total of 5683 basalt samples are obtained from two types of tectonic backgrounds, including island arcs and rifts, of which 4595 samples of island arcs and 1088 samples of rifts are used as samples. The random forest algorithm is used for model training and subsequent prediction of the tectonic background of the Dahalajunshan Formation. The prediction results show that most of the Dahalajunshan Formation volcanic rocks were mainly formed in the island arc environment, and these rocks appeared during the closure of the oceanic basin in the Late Paleozoic. However, a few samples have a high probability of rift valley, which may indicate that they are in the transition from subduction to collision. Through further analysis of the predicted results, it can be inferred that the Dahalajunshan Formation was formed in an active continental margin environment, and was appeared in the final stage of plate subduction-collision from northwest to southeast. The advantage of the new method used in this paper is that it can predict the tectonic background more accurately, and open up ideas for further research on the origin of magmatic rocks, and it can be popularized in the field of geology, and it can promote the further development of geological big data experimental technology. [ABSTRACT FROM AUTHOR]

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). [ABSTRACT FROM AUTHOR]

The degree of human impact on the environment is closely related to social development. Due to the process of industrialization, economic and social development, and the intensification of human activities, cities are facing serious environmental pollution and ecosystem degradation, which threatens the normal metabolic function and coordinated development of urban ecosystem. These regional ecological and environmental problems seriously threaten the atmosphere, land, and water resources that people rely on for survival and cause great economic losses. The study of the relationship between urbanization and ecological environment is an important part of the study of global environmental change, which is of great significance for the sustainable development of cities and the harmonious development of human and nature. This paper studies the remote sensing image data and night lighting data in the region, and uses appropriate spatial analysis methods in ENVI and GIS to separate the main building areas in the urban center, and quantitatively analyzes the spatial characteristics and the morphological development of urban buildings. Based on GIS and remote sensing technology, combined with pressure state model and analytic hierarchy process, this paper establishes an index system for evaluating urban ecosystem health. Using the method of time, space, quantity, and order of ecological integration, this paper makes a spatial quantitative analysis of geography and obtains the indexes of population disturbance, land reclamation degree, and ecological elasticity. The quantitative measurement of urban population is carried out, and the ecological system, spatial distribution characteristics, and urban evolution law are obtained, as well as the strategies of urban ecosystem in the framework of multi-element communication mechanism. [ABSTRACT FROM AUTHOR]

The development of urbanization has caused many ecological and environmental problems. The green space in the city has important ecological significance. It can reduce the urban climate effect through photosynthesis and improve the quality of urban ecological environment. Therefore, the study of urban vegetation is of great significance. Based on the Landsat TM/OLI remote sensing image as the data source, according to the characteristic curve of soil characteristic spectrum in the study area, TNDVI, RVI, and other 11 vegetation indexes were used to process the Landsat data, and the comparison and analysis were carried out. Based on the vegetation coverage index, the image of the study area is processed to obtain the change of urban forest coverage in the study area. This paper also proposes an image classification algorithm with intermediate functions and tests the performance of the algorithm through experiments. However, in the process of experiment, only fast and simple sequential merging is used, and some problems that may appear in the merging process are not considered, such as redundancy or crosslinks between items after sequential merging. In order to avoid potential problems and further improve the resolution of merging function, this paper is planning regional quotient method based on multi-core learning features. This paper analyzes the current situation of China's existing regional commercial law system, explains the necessity of regional coordination in the field of commercial law, and draws lessons from some useful experience of coordinating regional commercial law in foreign countries. Combined with China's specific national conditions, it proposes to improve the coordinated development of regional commercial legal system, so as to provide theoretical guidance for the practice of coordinating China's regional economic legal system. [ABSTRACT FROM AUTHOR]

This paper puts forward a research system for the development of coastal tourism resources and the sustainable development of environment. This paper discusses and classifies the concept, index system, calculation model, island tourism, and other related literature about the development of coastal tourism resources and the sustainable development of environment. In addition, according to the characteristics of the island's ecological environment, the components of ecological capacity are determined. The system determines the first level of four indicators, namely, the capacity of ecological environment, the capacity of resource space environment, the capacity of tourism facilities, and the capacity of tourists' psychological environment. Using simulation analysis, the obtained indicators are compared with the traditional data mining algorithms (such as Apriori and Eclat). The simulation results show that the proposed method has excellent performance, and the final average accuracy of recommendation can reach about 80%. This paper discusses the evolution of coastal tourism resources and the sustainable development of environment in data mining and puts forward the suggestions of using multimedia technology, data mining, and geographic information technology to realize the coastal tourism resource development system and the sustainable development consistent with the space-time environment. In addition, this paper proposes a method to filter the tourism destinations according to the current situation of users and then classifies the tourism destinations by collaborative filtering to study the environmental impact. Big data mining technology will provide new ideas for developing coastal tourism resources and ensuring environmental sustainability. [ABSTRACT FROM AUTHOR]

As network services become more open and convenient, Internet services based on web server are gradually in the leading position in network services. Developing ecosystem is an important way to improve ecological environment and realize economic and social benefits. This paper introduces the importance and potential of developing ecosystem in plain area. With the rapid development of China's economy and society and the continuous improvement of people's living standards, people's requirements for the living environment continue to improve, and air pollution detection and other issues have increasingly attracted people's attention. The form of air pollution is so serious that it has become an urgent practical problem in China. At the same time, basketball is a sport with a broad mass base. Playing basketball has become an important part of many people's lives, and basketball training is also an important part of China's physical education system. The state attaches great importance to the implementation of basketball training and education and the cultivation of basketball talents. In recent years, there are many problems in China's basketball training. It is difficult to achieve good results in basketball training. Sports departments need innovation in basketball education. Knowledge graph visualization can visualize many abstract knowledge and data, which is very useful for stakeholder research. Basketball coaches can use knowledge map visualization to investigate the deficiencies in basketball training and find the innovation in basketball training, so as to improve the level of basketball education in China. Through the research of web server, this paper applies it to air pollution detection and basketball training visualization in plain areas, so as to promote the improvement of air quality and the development of basketball training. [ABSTRACT FROM AUTHOR]

Geological, mineralogical, and physicochemical information were used to analyze the possible industrial applications and general observations of the Ammacio kaolin occurrence, which is located southwest of the Central Main Ethiopian Rift. The principal lithologic units present in the study area are basalt, unwelded tuff, and Quaternary sediment. The parent rock for the kaolin is the unwelded tuff unit. The petrographic study of the parent rock indicates the presence of plagioclase, alkali-feldspar, and quartz phenocrysts in a fine-glassy groundmass. X-ray diffraction, Fourier transforms infrared, and scanning electron microscopy analyses suggest that the kaolin samples are made up mostly of kaolinite and quartz minerals, with traces of halloysite and feldspar. The distributions of major and selective trace elements in the parent rocks and the kaolin samples, along with the higher chemical index of alteration (CIA = 84.4%) and chemical index of weathering (CIW = 92.4%), indicate that the kaolin is formed by intense chemical weathering of the unwelded tuff. The overall mineralogical and physicochemical findings suggest that Ammacio kaolin may be employed in a variety of sectors, including in paper coating, as a filler (in the paper, rubber, plastic, and paint industries), ceramics, agriculture, pottery, brick, soap and detergent, cosmetics, fiberglass, pharmaceutical, Portland cement, and synthetic zeolites productions industries. [ABSTRACT FROM AUTHOR]

This article presents a discussion of the Arabian Journal of Geosciences, 394, Vol. 13, No. 11, which (among other things) proposed a new empirical correlation for the prediction of the plasticity index magnitude (and hence by association the plastic limit value) of fine-grained soils sampled from different depths in the Bakırköy District of Istanbul City. As inputs, the proposed correlation employs the activity index, along with defining parameters of the semi-logarithmic flow curve obtained from the Casagrande (percussion-cup) liquid limit test. This article presents the following: (i) a discussion of the relevant literature that was not covered in the original paper; (ii) clarifications on, and observations regarding, the general approach adopted in the original investigation; (iii) concerns over whether the proposed new empirical correlation can be meaningfully recalibrated for particular clay soil types specific to other regions around the world; and (iv) suggestions for improvement of the new empirical correlation by adopting a different set of input parameters. [ABSTRACT FROM AUTHOR]

Soil erosion and geotechnical properties are the main factors affecting riverbank stability. The soil geotechnical properties were used widely, but the soil erosion properties were little mentioned in riverbank stability analyses. The erosion properties include the critical shear stress, the erosion rate, and the slope of the erosion curve. In this paper, a modified water flume in the laboratory was conducted to determine erosion properties for soils at the Red riverbank in Hanoi, Vietnam. This paper also builds the relationships between erosion properties and geotechnical properties (dry density, grain size distribution, shear strength, and soil suction). The soil erosion and geotechnical properties were carried out in the geotechnical laboratory at Ibaraki University (Japan) and VNU University of Science (Vietnam). The results indicated that (i) the critical shear stress of nine soils ranges from 0.7 to 7.1 Pa with clay content increase from 10 to 70%, and soil density of 15 kN/m3. The clay content, cohesion force, and residual suction have great effects on the critical shear stress and erosion rate. The change in clay content about of 5% is enough to create a marked change in the erosion rate; (ii) the sand content has the greatest influence on the slope of the erosion curve (the initial slope and the erosion slope); (iii) the density also has a close relationship with both the critical shear stress and the erosion slope. Controlling the soil density and soil grain size content will contribute to riverbank protection. [ABSTRACT FROM AUTHOR]

There is a limited number of published data regarding the tectonic style of the foreland of the Bitlis-Zagros Suture Zone in southeast Turkey. Particularly, the relationship between buried thrust faults and blind thrusts is unclear. The location from where the subsurface data of this paper was obtained lies 40 km north of Diyarbakır, and this data has provided an opportunity to define blind thrust related folding and discuss its relationship with the buried thrust faults determined by the earlier work. The 3D land seismic reflection data were recorded for hydrocarbon exploration where the top of the Hoya Formation is defined. The folding of Hoya Formation is interpreted to be related to the blind thrust and back thrust. During the interpretation, the attribute modules of the current seismic interpretation software were used, of which the Fault Likelihood and Automatic Fault Interpretation (AFI) attributes have especially been beneficial. The blind thrust related folding defined in this paper has no surface expressions unlike its counterparts related to the Ergani-Silvan and Mardin blind thrust zones located in the north and south, respectively. The depth and location of the blind thrusts and related structures defined in this paper suggest that they are younger than the buried thrusts and may represent the continuation of the Ergani-Silvan blind thrust. [ABSTRACT FROM AUTHOR]