Evidence map›Paper›PMID 36068247›Full record

ArticleScientific reports2022

Spatiotemporal heterogeneity of land subsidence in Beijing.

Guangyao Duan, Huili Gong, Beibei Chen, Xiaojuan Li, Xingyao Pan, Min Shi, Hang Zhang

Abstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Guangyao DuanKey Laboratory of the Ministry of Education Land Subsidence Mechanism and Prevention, Capital Normal University, Beijing, 100048, China.
Huili GongKey Laboratory of the Ministry of Education Land Subsidence Mechanism and Prevention, Capital Normal University, Beijing, 100048, China. 4039@cnu.edu.cn.
Beibei ChenKey Laboratory of the Ministry of Education Land Subsidence Mechanism and Prevention, Capital Normal University, Beijing, 100048, China.
Xiaojuan LiKey Laboratory of the Ministry of Education Land Subsidence Mechanism and Prevention, Capital Normal University, Beijing, 100048, China.
Xingyao PanBeijing Water Sciences and Technology Institute, Beijing, 100048, China.
Min ShiKey Laboratory of the Ministry of Education Land Subsidence Mechanism and Prevention, Capital Normal University, Beijing, 100048, China.
Hang ZhangBeijing Water Sciences and Technology Institute, Beijing, 100048, China.

Funding

Beijing Outstanding Young Scientist Program BJJWZYJHOI 201910028032Beijing Postdoctoral Science Foundation 19540190002National Natural Science Foundation of China 41930109National Natural Science Foundation of China 41971310Natural Science Foundation of Tianjin City 18JCYBJC90700
6 · The paper itself

Abstract

Land subsidence induced by groundwater level decline has spatiotemporal variations. Taking the Interferometric Synthetic Aperture Radar (InSAR) results and the groundwater subsidence data acquired by the monitoring stations as the source material, this paper aims to reveal the spatiotemporal heterogeneity of groundwater-land subsidence in Beijing plain by using the Wind Rose Map (WRM) method and the Change Point Analysis (CPA) method. The WRM results show that the amount and variation in subsidence differs in different directions. This method detected the formation of new subsidence centers and the slowdown of land subsidence in 2008. The CPA results show that obvious changes are detected in subsidence development at the Wangsiying (WSY), Tianzhu (TZ) and Wangjing (WJ) stations. However, there is a relatively stable trend of groundwater decline and land subsidence at the Tianzhu (TZ) station. The stages of land subsidence development show a significant response to groundwater. Moreover, changes in land subsidence also show delayed response behind the changes in groundwater level. The time-lag could be affected by the variation in amplitude of the groundwater level.

Identifiers

PMID36068247
PMCPMC9448723

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