Evidence map›Paper›PMID 30467273›Full record

ArticleInternational journal of environmental research and public health2018

A Fuzzy Comprehensive Assessment and Hierarchical Management System for Urban Lake Health: A Case Study on the Lakes in Wuhan City, Hubei Province, China.

Teng Wang, Jingjing Yan, Jinlong Ma, Fei Li, Chaoyang Liu, Ying Cai, Si Chen, Jingjing Zeng, Yu Qi

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 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. GIS-Based Multi-Criteria Analysis Method for Assessment of Lake Ecosystems Degradation-Case Study in Romania.International journal of environmental research and public health · 2021
    Article
  3. Article
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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

9 authors.

Teng WangHubei Research Center of Water Affair, Hubei University of Economics, Wuhan 430073, China. wangtenghbue@163.com.
Jingjing YanSchool of Information and Safety Engineering, Zhongnan University of Economics and Law, Wuhan 430073, China. Yanjing@zuel.edu.cn.
Jinlong MaSchool of Information and Safety Engineering, Zhongnan University of Economics and Law, Wuhan 430073, China. majinlong@zuel.edu.cn.
Fei LiSchool of Information and Safety Engineering, Zhongnan University of Economics and Law, Wuhan 430073, China. lifei@zuel.edu.cn.ORCID 0000-0003-4791-3264
Chaoyang LiuSchool of Information and Safety Engineering, Zhongnan University of Economics and Law, Wuhan 430073, China. lcy@zuel.edu.cn.
Ying CaiSchool of Information and Safety Engineering, Zhongnan University of Economics and Law, Wuhan 430073, China. 1993cy@zuel.edu.cn.
Si ChenSchool of Resources and Environment, Hubei University, Wuhan 430062, China. kathryncs123@hotmail.com.
Jingjing ZengSchool of Information and Safety Engineering, Zhongnan University of Economics and Law, Wuhan 430073, China. jjzeng@zuel.edu.cn.
Yu QiSchool of Information and Safety Engineering, Zhongnan University of Economics and Law, Wuhan 430073, China. z0004447@zuel.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Environmental assessment of eutrophication or heavy metals in urban lakes is an important reference for identifying the pollution degree and formulating pollution prevention strategies. At present, the most research on lake health states is often evaluated from a single angle for toxic metals pollution or eutrophication using the standard comparison method for both, the comprehensive trophic level index (TLI), and the health risk assessment for toxic metals. Moreover, the above deterministic methods probably lead to biased or unreliable assessment due to the randomness and fuzziness in environment system caused by natural change and human activities. In this paper, a fuzzy comprehensive lake health assessment method (FCLHAM) was established to evaluate comprehensive lake health states more comprehensively and accurately, which integrates quantitative eutrophication and health risk considerations. To test and verify FCLHAM, 21 lakes, scientifically selected from the total 143 lakes in the Chinese Wuhan city as study case, were investigated and analyzed for their state of eutrophication and the health risk posed by heavy metals. According to the FCLHAM, the average comprehensive lake health state decreased in the sequence of L20 (considerate risk level) > L1⁻L17, L19, L21 (moderate risk level) > L18 (low risk level). Based on the result, lakes were classified into three categories: general management (L18), enhanced management (L1⁻L17, L19, L21), and priority management (L20). If the 143 lakes in Wuhan were classified by the "area-region-function" classification, they would be assigned to the same category as the representative lakes of the same type. At this point, we will attribute all of Wuhan's lakes to the three types. Depending on the characteristics of each type, a targeted approach to different types of management for each type of lake is a more efficient way to manage many of Wuhan's lakes. This management mode also serves as an effective reference for the environmental management of urban lakes both at home and abroad. In other words, according to the FCLHAM, a hierarchical management system based on lake characteristics classification was obtained.

Indexed as

ChinaCitiesEnvironmental MonitoringEutrophicationGeologic SedimentsHuman ActivitiesLakesMetals, HeavyRisk AssessmentUrban HealthWater Pollutants, ChemicalMetals, HeavyWater Pollutants, Chemicalcomprehensive nutrition status Indexfuzzy comprehensive methodhealth riskheavy metalsurban lake

Identifiers

PMID30467273
PMCPMC6313550

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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.