Urban groundwater pollution and green city economic efficiency based on image recognition

Abstract

This article points out that China’s groundwater pollution is mainly caused by leaks from Johkasou, toilets, sewage discharge pits, seepage wells, sewers, garbage dumps, incomplete oxidation ponds, or sewage ponds in non-sewer areas. When pollutants enter the groundwater layer, the water quality will deteriorate every day, and the water temperature will naturally rise. In the over-exploited closed water area, due to the sharp drop of the closed water level, the upper part of the contaminated diving overflow fills the closed water again, and the closed water is also contaminated. At the same time, the water-bearing layer becomes a saturated zone, and the physical and chemical conditions of the stratum change from a reducing environment to an oxidizing environment, which dissolves more material components in the water-saturated zone and accelerates the pollution of groundwater. The present invention is mainly aimed at a pollutant monitoring device based on image recognition, which is related to the application field of image recognition technology. This paper uses the SBM directional distance function to calculate the green development efficiency of 260 cities in China, analyzes the reasons for its low efficiency, and uses the spatial panel econometric model and threshold panel to conduct an empirical analysis of the relationship between city size and green development efficiency. The results show that ignoring the ecological environment and social welfare will overestimate the actual level of urban efficiency. Environmental pollution is the main reason for the low efficiency of green development in Chinese cities. At present, the green development efficiency of cities in the eastern region is higher than that of the central and western regions, and the impact of city size on the efficiency of green development shows a significant interval effect as the scale increases. However, it does not mean that the larger the city, the better the effect. If the size of the city exceeds a certain value, the expansion of its scale will not bring about the improvement of green development efficiency, and it will even bring about negative effects.