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Title:Water quality characteristics and source analysis of pollutants in the Maotiao river basin (SW China)
Authors:ID Li, Yinjiu (Author)
ID Li, Qiuhua (Author)
ID Jiao, Shulin (Author)
ID Liu, Chen (Author)
ID Yang, Liuying (Author)
ID Huang, Guojia (Author)
ID Zhou, Si (Author)
ID Han, Mengshu (Author)
ID Brancelj, Anton (Author)
Files:URL URL - Source URL, visit https://www.mdpi.com/2073-4441/14/3/301
 
.pdf PDF - Presentation file, download (7,80 MB)
MD5: 24BD0A7064A37363CE4630635A0F192B
 
Language:English
Typology:1.01 - Original Scientific Article
Organization:Logo NIB - National Institute of Biology
Abstract:Rivers are an important mediator between human activities and the natural environment. They provide multiple functions, including irrigation, transportation, food supply, recreation, and water supply. Therefore, evaluations of water quality and pollution sources are of great significance for ecological restoration and management of rivers. In this study, the improved “vušekriterijumska optimizacija i kompromisno rješenje” (VIKOR in Serbian; in English: Multicriteria Optimization and Compromise Solution), and a geodetector were used to analyze the water quality characteristics and pollution sources of the Maotiao River Basin (Gizhou province, SW China). The results showed that the water quality of the Maotiao River Basin deteriorated significantly during the summer drought period, as was evident in the reservoirs and lakes. It improved in the wet season (i.e., during the summer period) due to runoff dilution. Water quality decreased along the river’s course, from upstream to downstream sections. The results of the geographic detector analysis showed that agricultural areas were the primary factor affecting the spatial distribution of water quality in the river basin. In July, August, and November 2020, the influence of agricultural land was 0.72, 0.60, or 0.80, respectively, and the interactions among urban, industrial, agricultural, and forested areas explained 99.2%, 83.2%, or 99.9% of the spatial differentiation of water quality, respectively. Due to the influence of spatial scale, settlements have a small influence on the spatial distribution of water quality. Their impact factors were 0.38, −0.24, and −0.05, respectively. Notably, the negative relationship of water quality and forested areas reflects that topography, types of landscapes, and soil thickness have considerable influences on the Maotiao River Basin’s water quality. Based on the findings, we infer that good farmland water conservancy projects and comprehensive management of different types of landscapes, such as forests, agriculture, and urban area and water bodies, are of great significance for improving water quality.
Keywords:water quality, statistical data, VIKOR model, CRITIC model
Publication status:Published
Publication version:Version of Record
Publication date:20.01.2022
Year of publishing:2022
Number of pages:str. 1-18
Numbering:Vol. 14, iss. 3
PID:20.500.12556/DiRROS-19331 New window
UDC:574
ISSN on article:2073-4441
DOI:10.3390/w14030301 New window
COBISS.SI-ID:95488259 New window
Note:Nasl. z nasl. zaslona; Opis vira z dne 28. 1. 2022; Št. članka: 301;
Publication date in DiRROS:16.07.2024
Views:346
Downloads:240
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Record is a part of a journal

Title:Water
Shortened title:Water
Publisher:Molecular Diversity Preservation International - MDPI
ISSN:2073-4441
COBISS.SI-ID:36731653 New window

Document is financed by a project

Funder:ARIS - Slovenian Research and Innovation Agency
Project number:P1-0255-2017
Name:Združbe, interakcije in komunikacije v ekosistemih

Funder:Other - Other funder or multiple funders
Funding programme:Special Foundation for National Science and the Technology Basic Research Program of China
Project number:2019FY101900

Funder:Other - Other funder or multiple funders
Funding programme:Science and Technology Foundation of Guizhou Province
Project number:[2020]6009, [2020]4Y009, [2020]080, [2020]1Y252

Licences

License:CC BY 4.0, Creative Commons Attribution 4.0 International
Link:http://creativecommons.org/licenses/by/4.0/
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.

Secondary language

Language:Slovenian
Keywords:kvaliteta vode, statistične obdelave, akumulacijska jezera, VIKOR model, CRITIC model


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