Abstract

For China, water resources are very scarce, mainly because of the rapid economic development. Especially in the north of China, in order to meet the needs of local social development, groundwater in North China has been overfished for many years, resulting in serious environmental problems. The plain area of S city is a typical groundwater overfishing area in North China Plain. Long-term overexploitation of groundwater disturbs the balance between recharge and drainage. The groundwater level in the plain of S city decreased rapidly, forming a large number of groundwater depression funnels in this area. In the past few decades, the scale of groundwater drawdown funnel has been expanding, causing geological and ecological problems such as cracks and collapses. In view of the fact that the groundwater level in S city has been declining and the scope of groundwater depression funnel has been continuously extended, comprehensive management has been implemented. Two governance methods can be used through edge computing. First, we should speed up the construction of the South-to-North Water Diversion Project and use the river water allocated by the South-to-North Water Diversion Project to replace the groundwater extracted from the receiving area. The second is underground water pressure mining. Control the intensity of water extraction, improve the efficiency of industrial and agricultural water use, and reduce the use of groundwater. On the basis of the analysis of language and usage standards, combined with examples, we can take the city English of Los Angeles as a reference, expand the analysis of language use and social pragmatics, and check the mistranslation of Chinese city English, so as to improve the accuracy of translation. Based on the study of groundwater level change and the accuracy of urban English translation, this paper applies it to edge computing, which promotes the development of groundwater treatment and urban English translation.

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