Evidence map›Paper›PMID 38762681›Full record

ArticleScientific reports2024

Risk assessment of land subsidence based on GIS in the Yongqiao area, Suzhou City, China.

Longfei Chai, Lu Wei, Pengjie Cai, Jiankui Liu, Jia Kang, Zhen Zhang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Longfei ChaiAnhui Institute of Geo-Environment Monitoring, Hefei, 230001, Anhui, China.
Lu WeiAnhui Institute of Geo-Environment Monitoring, Hefei, 230001, Anhui, China.
Pengjie CaiIMM, State Key Laboratory for Mineral Deposits Research, School of Earth Sciences and Engineering, Nanjing University, Nanjing, 210093, China. caipengjie@cug.edu.cn.
Jiankui LiuAnhui Institute of Geo-Environment Monitoring, Hefei, 230001, Anhui, China.
Jia KangAnhui Institute of Geo-Environment Monitoring, Hefei, 230001, Anhui, China.
Zhen ZhangSchool of Geomatics, Anhui University of Science and Technology, Huainan, 232001, China.

Funding

Anhui public welfare geological project No. 2022-g-1-2Geological disaster prevention fund number in Anhui Province 2021-z-3-33Jiangsu Funding Program for Excellent Postdoctoral Talent 2022ZB12
6 · The paper itself

Abstract

This study focuses on the Yongqiao District in Suzhou City, Anhui Province, China, aiming to analyze the current situation of ground settlement and its influencing factors in the area. The selected risk indices include settlement rate, cumulative settlement amount, groundwater level drop funnel, thickness of loose sediment layer, thickness of soft soil layer, and the number of groundwater extraction layers. Additionally, vulnerability indices such as population density, building density, road traffic, and functional zoning are considered. An evaluation index system for assessing land Subsidence risk was established. The risk evaluation of land Subsidence was conducted using the Hierarchical analysis-composite index method and ArcGIS spatial analysis, The evaluation results show that the area of higher risk area is about 2.82 km

Indexed as

GISIndex systemLand subsidenceRisk assessment

Identifiers

PMID38762681
PMCPMC11102451

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.