Evidence map›Paper›PMID 30060583›Full record

ArticleInternational journal of environmental research and public health2018

Rapid Population Growth in Chinese Floodplains from 1990 to 2015.

Yongqiang Fang, Shiqiang Du, Paolo Scussolini, Jiahong Wen, Chunyang He, Qingxu Huang, Jun Gao

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2018. 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

7 authors.

Yongqiang FangDepartment of Geography, Shanghai Normal University, 100 Guilin Road, Shanghai 200234, China. ffyq1994@126.com.
Shiqiang DuDepartment of Geography, Shanghai Normal University, 100 Guilin Road, Shanghai 200234, China. shiqiangdu@shnu.edu.cn.ORCID 0000-0002-9787-186X
Paolo ScussoliniInstitute for Environmental Studies, Vrije Universiteit Amsterdam, 1081 HV Amsterdam, The Netherlands. jhwen@shnu.edu.cn.
Jiahong WenDepartment of Geography, Shanghai Normal University, 100 Guilin Road, Shanghai 200234, China. gaojun@shnu.edu.cn.
Chunyang HeState Key Laboratory of Earth Surface Processes & Resource Ecology, Beijing Normal University, Beijing 100875, China. hcy@bnu.edu.cn.
Qingxu HuangState Key Laboratory of Earth Surface Processes & Resource Ecology, Beijing Normal University, Beijing 100875, China. qxhuang@bnu.edu.cn.ORCID 0000-0003-4902-716X
Jun GaoDepartment of Geography, Shanghai Normal University, 100 Guilin Road, Shanghai 200234, China. paolo.scussolini@vu.nl.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although China suffers from frequent and disastrous floods, the spatiotemporal pattern of its population living in the floodplain (PopF) is still unknown. This strongly limits our understanding of flood risk and the effectiveness of mitigation efforts. Here we present the first quantification of Chinese PopF and its dynamics, based on newly-available population datasets for years 1990, 2000, 2010, and 2015 and on a flood map. We found that the PopF in 2015 was 453.3 million and accounted for 33.0% of the total population, with a population density 3.6 times higher than outside floodplains. From 1990 to 2015, the PopF increased by 1.3% annually, overwhelmingly faster than elsewhere (0.5%). A rising proportion (from 53.2% in 1990 to 55.6% in 2015) of the PopF resided in flood zones deeper than 2 m. Moreover, the PopF is expected to increase rapidly in the coming decades. We also found the effect of flood memory on controlling PopF growth and its decay over time. These findings imply an exacerbating flood risk in China, which is concerning in the light of climate change and rapid socioeconomic development.

Indexed as

FloodsPopulation GrowthChinaClimate ChangeDisastersChinaflood memoryfloodplainpopulation exposuresustainability

Identifiers

PMID30060583
PMCPMC6121586

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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.