Evidence map›Paper›PMID 34240270›Full record

ArticleEnvironmental monitoring and assessment2021

Environmental risk analysis of surface water based on multi-source data in Tianjin Binhai New Area, China.

Yue Qiao, Qiaozhen Guo, Xiaoxu Wu, Huanhuan Wu, Li Zhu, Yunhai He

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Article in Environmental monitoring and assessment, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Not yet cited 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

The trial behind it

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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

5 · Who and what money

Authors and funding

6 authors.

Yue QiaoSchool of Geology and Geomatics, Tianjin Chengjian University, Tianjin, 300384, China.
Qiaozhen GuoSchool of Geology and Geomatics, Tianjin Chengjian University, Tianjin, 300384, China. gqiaozhen@163.com.
Xiaoxu WuState Key Laboratory of Remote Sensing Science, College of Global Change and Earth System Science, Beijing Normal University, Beijing, 100875, China. wuxx@bnu.edu.cn.
Huanhuan WuSchool of Geology and Geomatics, Tianjin Chengjian University, Tianjin, 300384, China.
Li ZhuSchool of Geology and Geomatics, Tianjin Chengjian University, Tianjin, 300384, China.
Yunhai HeSchool of Geology and Geomatics, Tianjin Chengjian University, Tianjin, 300384, China.

Funding

Natural Science Foundation of Tianjin City 18JCYBJC90900Tianjin Municipal Education Commission 2018KJ164
6 · The paper itself

Abstract

The study on environmental risk of surface water is of great practical significance for the ecological security of water environment and water pollution treatment, and it can provide a certain reference basis for risk prevention and control of water environment. The Tianjin Binhai New Area faces severe water shortage and serious water pollution, but few studies have been reported on surface water environment risk in this area. Therefore, in this study, based on Gaofen-6 remote sensing image, the factors including land use, landscape index, population density, and enterprise source are integrated to develop the evaluation model of surface water environment risk index. It is developed using analytic hierarchy process from two aspects of hazard of risk source and sensitivity of risk receptor. The comprehensive risk of Tianjin Binhai New Area is classified using mean standard deviation method. The result indicates that the developed model could better quantify the impact of various factors on the surface water environment, and comprehensively and accurately depict the spatial distribution of surface water environmental risk. Generally, the areas of higher and high risk grades are mainly concentrated on the west of Binhai Street, Beitang Street, and Hangzhou Road Street. The risk grade in most other areas is medium, and it is low in coastal and northernmost areas. This study not only clarifies the distribution of surface water environmental risks in Binhai New Area, but also develops an evaluation model, which can provide reference for the evaluation of water environmental risks in other areas. Through the investigation and research on the current situation of water pollution, social and economic development, and other factors of the streets and towns in Binhai New Area, it is found that in recent years, the urbanization of Binhai Street, Beitang Street, and Hangzhou Road Street has developed rapidly, and the intensity of human activities is high, which has a great impact on the water environment. The research results are consistent with the actual situation, which can provide theoretical and technical support for the prevention, control, and management of water environmental risks in Binhai New Area.

Indexed as

Environmental MonitoringWaterChinaCitiesHumansRisk AssessmentWaterAnalytic hierarchy processGaofen-6 imageRisk receptorRisk sourceSurface water environment

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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.