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Artificial intelligence has been applied in all aspects of cultural industry, and has affected the micro, meso, and macro level of cultural industry, accelerated the transformation of cultural industry, and changed the structural system of cultural development. Based on artificial intelligence technology, this paper studies 52 years of coastal rainfall and analyzes the characteristics of rainfall pattern by observing the latest meteorological observation data in southern China from 1969 to 2020. Based on the analysis of rain patterns in South China, it is found that only 8% of the annual precipitation in a southern region of China has a significant increasing trend. The monthly trend showed the most obvious downward and upward trend in April and November. Finally, by analyzing the results of artificial intelligence research, we can create a model of global cultural communication system based on artificial intelligence application. The logic model combines the elements of power, system, service and research framework knowledge, and puts forward the idea of system optimization based on artificial intelligence application to solve subsystem problems; For the service subsystem, artificial intelligence should be used to strengthen the supply and demand of services; For knowledge subsystem, artificial intelligence is needed to improve education and training skills, including knowledge service skills and knowledge management skills. The global cultural communication system must use artificial intelligence to improve the synergy of subsystems. Through the analysis of coastal rainfall pattern and the study of global cultural communication based on artificial intelligence, this paper applies it to cultural communication and promotes the development of global cultural communication.

The COVID-19 pandemic has emphasized disasters related to environmental topics, human health, social lifestyles, and economic systems around the world. COVID-19 may further spread through municipal solid waste (MSW), if it is collected, handled, transported, or disposed in an improper way. The current paper provides an overview of the multiple challenges that COVID-19 has introduced to the various tasks of MSW management including the impact of the implemented precautionary measures on MSW management, priorities and hierarchy of MSW, direct impact on the constitution, and characterization of MSW in Makkah, Saudi Arabia, based on waste management characterization guidance. In addition, specific and alternative guidance plans for the potential critical points of the infection were suggested to protect public health during the pandemic. The results of the current study revealed that the hierarchical system of MSW was modified under pandemic conditions. Implementation of control measures in Makkah has led to a change of lifestyle, which resulted in a physical change of the MSW constitution in Makkah, with the following average rates: organic matter, 57%; plastics, 31%; paper and cardboard, 9%; metals, 1%; glass, 1%; and wood, 1%. In conclusion, a specific guidance plan for MSW management during the COVID-19 pandemic was developed, aimed at handlers, pickers, collection, transportation, transfer stations, and MSW disposal. Such a guidance plan may play a vital role in controlling the pandemic, especially in the outdoor environment. The suggested guidance plan describes and specifies structured and ordered practices of MSW management in Makkah during COVID-19 and other pandemics.

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 uses the function of neural network-based nonlinear mapping and particle group optimization algorithm to optimize the system, and then uses the particle group optimization algorithm of inertia weight, so as to achieve the goal of optimizing the weight of neural network training. By choosing to encode the geological parameters of the coastline with mpeg-4 and obtain the relevant data, the relevant data of the beach motion image can be obtained, so that the simulation experiment can be carried out. This paper introduces the process of establishing a multi-modal pore size distribution fitting model based on probability density function, and conducts an experimental analysis on the geological parameters and pore structure of two typical shale storage layer samples in China. Finally, the multi-peak opening distribution fitting model and the pore size distribution are obtained through quantitative fitting curves, and the geological parameters of the marine continental shale that affect the pore size distribution are investigated, and the pore size distribution of the shale and the geology of the shale are investigated. In-depth parameter analysis is to explore the thermal maturity of organic matter, and the relationship between its content and mineral composition. In addition, the coastal image simulation is researched focusing on the characteristics of coastal beach recreational sports, the problems existing in the development process, and future development countermeasures. Finally, it is pointed out that the future development trend of coastal beach leisure sports, through the integration of local leisure sports-related characteristics and professional development, so as to achieve the implantation of culture in sports, and the organic combination of the two promotes the economic and ecological environment.

This paper explores the feasibility of the electrical resistivity (ER) method as non-invasive technique to detect dysfunctions of full-scale tertiary wastewater treatment wetlands, such as clogging, that ultimately limit the system lifetime and performance. ER measurements were carried out according to the Werner’s method on two (overloaded) horizontal subsurface wetlands (HSF-CW1 and HSF-CW2) operated in parallel since the end of 2017, while still achieving satisfactory treatment efficiencies. Layered clog-induced preferential flow pathways through the HSF-CW beds and premature deterioration of the wetland’s liner with a possible development of dead zones associated with a low/heterogeneous density of vegetation could be confirmed by analysis of ER profiles. These results suggest that the ER method is a promising and feasible technique, as simplified then adapted/adopted to local context, for better monitoring and assessment of treatment wetlands with early process failure.

In the process of agricultural development, climate change in different regions will have different degrees of impact on the allocation and use of agricultural resources. In most cases, climate change will affect the use of agricultural production technology. The energy and material needed in the process of crop growth are also provided by climate change. People must pay attention to climate change if they want to carry out agricultural production. Through people’s long-term practice, it can be seen that the development of agriculture is greatly affected by climate. Once the climate change is unfavorable to the development of agriculture, the total grain reserve in China will be affected, and there will be some problems in the food supply of the whole country. In order to effectively reduce the negative impact of climate change, this paper analyzes the climate problems in the process of agricultural production by using geographic information technology, discusses the ability of agricultural resources to cope with sudden disasters, and puts forward reasonable resource allocation suggestions to improve the utilization efficiency of resources.

The current study hypothesizes that reproducing sediment units that might belong to areas difficult to reach, sample, and attest is experimentally possible. The research aims to employ available sediment samples named source soils that can easily approach and sample to mix, simulate, and produce the (non-available) sedimentary units named Target Sediment Units (TSU). The particle size distribution (PSD) percentages are essentially used in the mixture procedure to construct the non-available (target) units (TSU). Several sedimentary units were targeted, designed, and simulated; They include marsh, bay mud, and natural levee sediment units selected from the eastern Basrah side at the lower Mesopotamian plain, southern Iraq. The matching between particle size distribution (PSD) curves of simulated sediment units (SSU) and target sediment unit (TSU) was verified by applying a developed slope proximity ratio. For the three tested sediment units (marsh, buy mud, and natural levee), the ratios of slope proximity were 1.0, 0.93, and 0.99, respectively, which are well matched. For the mineralogy, the consistency limits were used as a proxy. The Casagrande plasticity chart was modified to reveal two empirical functions linking the plasticity indices to the clay mineral groups. The two predictions are reliable means to proxy the mineralogy of the fine-grained sediments. Reconstructing procedure allows the non-available sediment samples to be practically presented and it better characterizes the sediment for forensic geoscience applications; for instance, engineering geology and sedimentology applications concerning with studies of the physical and mechanical behaviors of sediments and the depositional conditions interpretations, respectively.

Tsunami evacuation is a short process that must be carried out in minutes. Determining the evacuation routes and safe areas is equally important in tsunami evacuation planning. It can be established from least cost distance (LCD) anisotropic model. We use the coastal of Drini, Gunungkidul, Java, Indonesia, as the study area, which is located in a tropical coastal karst region, with a typical karst cone formation. The topographic condition of the karst cone could be an ideal location for tsunami vertical evacuation (TVE). High-resolution orthomosaic images and digital elevation model (DEM) generated from the structure from motion (SfM) process were used as the main data. The tsunami inundation model was calculated based on neighboring operations using raster calculator from the elevation value in the DEM. Land cover identification from high-scale orthomosaic images showed the variation in speed conservation values (SCVs). The slope value was also used as a surface cost that will affect the travel time to the TVE shelters. The results of the model show that TVE is the main alternative in tsunami evacuation planning beside horizontal evacuation. They provide an evaluation of the location of the assembly points and evacuation routes provided by the government, which have been considered ineffective because of the inappropriate model. The results of the study provide an overview of determining the evacuation routes and shelters. Optimum locations can minimize travel time, provide adequate capacity, and be safe from inundation.