Evidence map›Paper›PMID 36612707›Full record

ArticleInternational journal of environmental research and public health2022

Constructing a Flood-Adaptive Ecological Security Pattern from the Perspective of Ecological Resilience: A Case Study of the Main Urban Area in Wuhan.

Hongyi Chen, Yanzhong Liu, Lin Hu, Zuo Zhang, Yong Chen, Yuchuan Tan, Yufei Han

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Hongyi ChenCollege of Resource and Environmental Engineering, Wuhan University of Science and Technology, Wuhan 430081, China.ORCID 0000-0002-5590-4686
Yanzhong LiuCollege of Resource and Environmental Engineering, Wuhan University of Science and Technology, Wuhan 430081, China.
Lin HuCollege of Resource and Environmental Engineering, Wuhan University of Science and Technology, Wuhan 430081, China.
Zuo ZhangSchool of Public Administration, Central China Normal University, Wuhan 430070, China.ORCID 0000-0002-8892-5870
Yong ChenCollege of Resource and Environmental Engineering, Wuhan University of Science and Technology, Wuhan 430081, China.
Yuchuan TanCollege of Resource and Environmental Engineering, Wuhan University of Science and Technology, Wuhan 430081, China.
Yufei HanCollege of Resource and Environmental Engineering, Wuhan University of Science and Technology, Wuhan 430081, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The frequent occurrence of floods in urban areas caused by climate change challenges urban resilience. This research aims to construct an ecological security pattern (ESP) that is adaptive to floods to enhance urban resilience in the hope that it will help cities cope with floods better. In this research, the main urban area of Wuhan (WUH) represents the study area. The lakes were selected as the ecological sources and the Soil Conservation Service-Curve Number (SCS-CN) model was used to calculate the runoff volume corresponding to each land type and, based on this, assign resistance values to the land types; as such, the land type surface is referred to as the runoff resistance surface, and the runoff resistance surface is then modified by ecosystem service capabilities. The Minimum Cumulative Resistance (MCR) model was used to extract the connecting corridors between the sources. This research plan includes 18 ecological sources, 10 key ecological corridors, and 22 potential ecological corridors, with a total length of about 344.21 km. Finally, it provides a

Indexed as

EcosystemFloodsChinaCitiesConservation of Natural ResourcesSoilSoilecological security patternflood adaptationresilient citySCS-CN model

Identifiers

PMID36612707
PMCPMC9820015

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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.