Evidence map›Paper›PMID 26492263›Full record

ArticleInternational journal of environmental research and public health2015

Spatio-Temporal Trends and Identification of Correlated Variables with Water Quality for Drinking-Water Reservoirs.

Qing Gu, Ke Wang, Jiadan Li, Ligang Ma, Jinsong Deng, Kefeng Zheng, Xiaobin Zhang, Li Sheng

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Qing GuInstitute of Digital Agriculture, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China. funny@zju.edu.cn.
Ke WangInstitution of Remote Sensing and Information System Application, Zhejiang University, Hangzhou 310058, China. kwang@zju.edu.cn.
Jiadan LiInstitute of Rural Development and Information, Ningbo Academy of Agricultural Sciences, Ningbo 315040, China. vaneljd@163.com.
Ligang MaCollege of Resource and Environmental Science, Xinjiang University, Urumqi 830046, China. mosanzju@126.com.
Jinsong DengInstitution of Remote Sensing and Information System Application, Zhejiang University, Hangzhou 310058, China. jsong_deng@zju.edu.cn.
Kefeng ZhengInstitute of Digital Agriculture, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China. zhengkf@mail.zaas.ac.cn.
Xiaobin ZhangInstitute of Digital Agriculture, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China. riceipm1@zju.edu.cn.
Li ShengInstitute of Digital Agriculture, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China. LLANDLL070701@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It is widely accepted that characterizing the spatio-temporal trends of water quality parameters and identifying correlated variables with water quality are indispensable for the management and protection of water resources. In this study, cluster analysis was used to classify 56 typical drinking water reservoirs in Zhejiang Province into three groups representing different water quality levels, using data of four water quality parameters for the period 2006-2010. Then, the spatio-temporal trends in water quality were analyzed, assisted by geographic information systems (GIS) technology and statistical analysis. The results indicated that the water quality showed a trend of degradation from southwest to northeast, and the overall water quality level was exacerbated during the study period. Correlation analysis was used to evaluate the relationships between water quality parameters and ten independent variables grouped into four categories (land use, socio-economic factors, geographical features, and reservoir attributes). According to the correlation coefficients, land use and socio-economic indicators were identified as the most significant factors related to reservoir water quality. The results offer insights into the spatio-temporal variations of water quality parameters and factors impacting the water quality of drinking water reservoirs in Zhejiang Province, and they could assist managers in making effective strategies to better protect water resources.

Indexed as

Drinking WaterWater QualityWater SupplyChinaCluster AnalysisGeographic Information SystemsWater ResourcesDrinking Watercluster analysisreservoirspatial distributiontemporal variationwater quality

Identifiers

PMID26492263
PMCPMC4627024

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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.