Abstract

Starting from the main eco-environmental problems faced by water environment, taking Yanhe River Basin as an example, this paper discusses the theoretical connotation and evaluation calculation method of eco-environmental water consumption. In order to study the eco-environmental water consumption of Yanhe River Basin, a runoff driving factor mining method based on big data analysis is established in this paper. Aiming at the problem that the statistical law and genetic law of runoff change frequently in changing environment, the mining technology method of runoff key driving factors is proposed by combining traditional methods with big data analysis. The characteristic factors that have no significant impact on runoff change are removed, the implicit characteristic factors affecting runoff change are extracted, the driving relationship of hydrological, meteorological, and vegetation characteristic factors on ecological water consumption change is identified, and the key driving factors of ecological water consumption change are extracted, which lays a data foundation for ecological water consumption prediction based on machine learning. The economic water consumption based on eco-environmental water consumption in Yanhe River Basin in the future is predicted (including water demand in three aspects of industry, agriculture, and life); that is, the prediction is to meet the economic water demand on the basis of ensuring that the water consumption of ecological environment will not be occupied, which can effectively ensure the improvement of ecological environment function in Yanhe River Basin and is conducive to the sustainable utilization of water resources in Yanhe River Basin. The research is only based on a small watershed such as Yanhe River Basin, and the purpose of the research is to provide a reference for ecological environment protection and sustainable utilization of water resources in the Loess Plateau, even in the arid, semiarid, and semihumid areas of North China.

Highlights

  • Facing the resources and environmental problems in China in the 21st century, especially the water problem, is the most serious

  • Because of the lag effect of eco-environmental problems, this problem has not attracted people’s attention before, especially the lag of theoretical research on eco-environmental water consumption [5, 6], which directly affects the solution of this problem. is paper takes Yanhe River Basin as the research object, studies the ecological environmental water consumption of Yanhe River Basin, and evaluates the ecological water consumption of Yanhe River Basin based on big data analysis [7, 8]

  • Based on big data analysis, this paper proposes a method to evaluate ecological water consumption in river basins by machine learning

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Summary

Introduction

Facing the resources and environmental problems in China in the 21st century, especially the water problem, is the most serious. As the core element of ecology and environment, the utilization of water is a positive benefit of water resources [1, 2]: the change of its surplus and shortage causes negative effects of floods and droughts; the pollution caused by its quality evolution is a negative impact on the environment. The contradiction between industrial and agricultural production water and ecological environment water is the most urgent and has the greatest impact on the sustainable development of local economy and society [4]. Is paper takes Yanhe River Basin as the research object, studies the ecological environmental water consumption of Yanhe River Basin, and evaluates the ecological water consumption of Yanhe River Basin based on big data analysis [7, 8] Because of the lag effect of eco-environmental problems, this problem has not attracted people’s attention before, especially the lag of theoretical research on eco-environmental water consumption [5, 6], which directly affects the solution of this problem. is paper takes Yanhe River Basin as the research object, studies the ecological environmental water consumption of Yanhe River Basin, and evaluates the ecological water consumption of Yanhe River Basin based on big data analysis [7, 8]

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