Optimization design of land subsidence levelling network of Beijing Plain

LEI Kun-chao; LUO Yong; CHEN Bei-bei; GUO Gao-xuan; JIA San-man; TIAN Fang; ZHOU Yi

doi:10.12029/gc20160429

2016 Vol. 43, No. 4

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Article navigation > Geology in China > 2016 > (4): 1457-1467

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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, (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, (4): 1457-1467. doi: 10.12029/gc20160429

Optimization design of land subsidence levelling network of Beijing Plain

1.
Beijing Institute of Hydrogeology and Engineering Geology, Beijing, 100195 China
2.
College of Resources Environment and Tourism Capital Normal University, Beijing, 100048
3.
Beijing Institute of Geology, Beijing 100120 China

Received Date: 05 July 2015

Revised Date: 08 November 2015

Publish Date: 24 August 2016

Abstract

Abstract

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.
- land subsidence /
- leveling network /
- GIS /
- affecting factors /
- optimize