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As the increasing population and rapid urbanization, the pressure on water resources has increased and water environment problems have become more serious. Traditional water resource management methods can no longer meet current and future needs, and new models need to be found. The gray water purification and reuse is an effective water-saving measure. Therefore, based on the regional water consumption and ash water pollution, the assessment model of water resource carrying capacity in this area is established. Then, it improves the elimination rate of gray water, increases the return flow of gray water resources, and thereby increases the carrying capacity of water resources. Finally, performance testing and simulation application analysis are carried out on the model. The results denote that the maximum error in the calculation of population carrying capacity of the model is 2%, with a fitness of about 99%. The stability of different environmental data testing is close to 100%, and the running time of data in D and F is about 30 and 10 min, respectively. And it is predicted that by 2040, when the gray water treatment rate in a certain region reaches 0.93 or above, the predetermined water resource carrying capacity of the region can be achieved. Based on the above data, it demonstrates high accuracy and adaptability, and can efficiently calculate the regional population resource carrying capacity. It has certain reference significance for further promoting the scientific and standardized management of gray water resources. [ABSTRACT FROM AUTHOR]

The breadth and range of water activities in China have expanded along with the social economy's and population's ongoing expansion. In this environment, people are attach importance to water resources. The target area for this study is Anhui Province. To conduct a detailed analysis of the water resource carrying capacity of the region and use its evaluation results to promote the development of the regional economy, this research first explained the relevant connotation of water resources. After that, a methodology for assessing the carrying capacity of water resources that uses Logistic Grey Correlation Analysis was constructed. This study will use the constructed model to assess the water resource carrying capacity of various regions in Anhui Province in the recent past. The carrying capacity of water resources was dynamically evaluated, and the findings indicate the correlation analysis model can clearly display the situation of water resource carrying capacity in various regions of Anhui Province. Furthermore, by utilizing digital transformation technology, the government can achieve a better performance in predicting and allocating carrying capacity of water. [ABSTRACT FROM AUTHOR]

Currently, climate change is regarded as one of the most important global environmental problems in the world. Future climate change may further exacerbate the contradiction between supply and demand of water resources in China, and affect water resources carrying capacity. This paper, based on the summary of the water resources carrying capacity researches, systematically expounds the concept and connotation of water resources dynamic carrying capacity, and puts forward its calculation theoretical frames and PSO-COIM method (namely the Prediction-Simulation-Optimization-Based Control Object Inversion Model). By constructing the ARIMAX dynamic regression forecasting model of the meteorological factors such as temperature, precipitation and runoff, the paper, taking Tarim River Basin, which is the largest continental river in China, as a typical example, analyses and calculates its water resources dynamic carrying capacity in future different level years under the three kinds of climate situation: RCP8.5, RCP4.5 and RCP2.6. The results of the calculation can clearly reflect the carrying scale of water resources under different climate situations, also determine its carrying levels in the future predicted economic and social development situation, as well as provide the basis for the sustainable development of Tarim River Basin. [ABSTRACT FROM AUTHOR]