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LEI Kun-chao, LUO Yong, CHEN Bei-bei, GUO Gao-xuan, JIA San-man, TIAN Fang, ZHOU Yi. Optimization design of land subsidence levelling network of Beijing Plain[J]. GEOLOGY IN CHINA, 2016, 43(4): 1457-1467. DOI: 10.12029/gc20160429
Citation: LEI Kun-chao, LUO Yong, CHEN Bei-bei, GUO Gao-xuan, JIA San-man, TIAN Fang, ZHOU Yi. Optimization design of land subsidence levelling network of Beijing Plain[J]. GEOLOGY IN CHINA, 2016, 43(4): 1457-1467. DOI: 10.12029/gc20160429

Optimization design of land subsidence levelling network of Beijing Plain

Funds: 

Supported by Beijing Municipal Science and Technology Project Z131100005613022

National Natural Science Foundation of China 41130744/D0107

National Natural Science Foundation of China 41401492/D010702

Beijing Natural Science Foundation 8162043

Project of Annual Operation Cost of Land Subsidence Monitoring System in Beijing PXM2015_158305_000011

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  • Author Bio:

    LEI Kun-chao, male, born in 1986, master, engineer,long engages in the study of land subsidence and ground fissure; E-mail:leikunchao123@126.com.

  • Received Date: July 04, 2015
  • Revised Date: November 07, 2015
  • Available Online: September 25, 2023
  • Land subsidence induced by long-term excessive groundwater withdrawal has constituted a major geological disasters in Beijing plain. This paper is based on the deficiency of present leveling network, selected three kinds of influence factors, including the partition of hydrology geology unit, the groundwater level decreased rate of main exploitation layers and the total thickness of compressed layers. Based on GIS spatial analysis platform, the partition map of comprehensive affecting factors of Beijing plain is created, and divided into 448 partitions. On this basis, we optimized design the land subsidence leveling network, added 220 leveling points. Using geostatistical Kriging interpolation error variance as the accuracy evaluation index, we drew the standard deviation distribution contour map of land subsidence leveling network, found that the standard deviation of the optimized is lower than before. Proved that based on the background of geological environment, using the partition map of comprehensive affecting factors to optimize design the land subsidence leveling network is feasible. This method can be used as the basis of construction of leveling points.

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