Evidence map›Paper›PMID 34041665›Full record

ArticleEnvironmental science and pollution research international2021

Influence of socioeconomic development on river water quality: a case study of two river basins in China.

Shiwei Yang, Hongsheng Hao, Bing Liu, Yuanming Wang, Yongan Yang, Ruifeng Liang, Kefeng Li

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Article in Environmental science and pollution research international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

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6citing papers in PubMed
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3 · Its place in the literature

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6 citing papers in PubMed.

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5 · Who and what money

Authors and funding

7 authors.

Shiwei YangState Key Laboratory of Hydraulics and Mountain River Engineering, Sichuan University, Chengdu, 610065, China.
Hongsheng HaoPOWERCHINA Kunming Engineering Corporation Limited, Kunming, 650051, China.
Bing LiuEmergency Response Centre, Ecology and Environment Bureau of Suining, Suining, 629000, China.
Yuanming WangState Key Laboratory of Hydraulics and Mountain River Engineering, Sichuan University, Chengdu, 610065, China.
Yongan YangCollege of Environmental Science and Engineering, China West Normal University, Nanchong, 637009, China.
Ruifeng LiangState Key Laboratory of Hydraulics and Mountain River Engineering, Sichuan University, Chengdu, 610065, China. LiangRuifeng@scu.edu.cn.
Kefeng LiState Key Laboratory of Hydraulics and Mountain River Engineering, Sichuan University, Chengdu, 610065, China.

Funding

the fund of Sichuan Province 2018SZYZF0001the key research and development project of Yunnan Province 2020QT004-2019BC002
6 · The paper itself

Abstract

Social and economic development processes require large amounts of natural resources and in some cases seriously deteriorate river water quality. Since the reform and expansion era began, China has vigorously pursued socioeconomic development but neglected environmental protection. However, in recent years, improvements in environmental awareness and the implementation of environmental protection measures have led to a balanced relationship between economic development and the environment. In this study, the Yangtze River Basin and the Yellow River Basin were selected as research areas. We used a combination of canonical correlation analysis (CCA) and a distance-based influence assessment method to quantitatively assess the influence of socioeconomic development on river water quality. The results revealed a strong correlation between socioeconomic development and river water quality. The degree of influence of socioeconomic development on water quality varied not only temporally but also spatially due to differences in socioeconomic development and hydrometeorology in the two basins in North and South China. The average degree of influence in the Yangtze River Basin was between 0.22 and 0.27, and that in the Yellow River Basin was between 0.2 and 0.36. Moreover, the degree of influence in the Yangtze River Basin in the wet season was greater than that in the dry season, whereas the opposite pattern was observed in the Yellow River Basin. The degree of influence in both basins gradually declined after 2011, indicating that the coupling and coordination between socioeconomic development and environmental protection have continuously improved and that the water quality has gradually improved. By analysing the influences of various socioeconomic indicators on water quality, we found that the main factors that influence water quality are per capita GDP and urbanization rate in the Yangtze River Basin and urbanization rate in the Yellow River Basin. The results provide a basis for future sustainable development in the Yangtze River Basin and the Yellow River Basin.

Indexed as

RiversWater QualityChinaConservation of Natural ResourcesSocioeconomic FactorsUrbanizationCCADegree of influenceSocioeconomic developmentWater qualityYangtze River BasinYellow River Basin

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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.