Cargando…
Impacts of Land Use on Surface Water Quality Using Self-Organizing Map in Middle Region of the Yellow River Basin, China
The Yellow River is one of the most important water sources in China, and its surrounding land use affected by human activities is an important factor in water quality pollution. To understand the impact of land use types on water quality in the Sanmenxia section of the Yellow River, the water quali...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9517833/ https://www.ncbi.nlm.nih.gov/pubmed/36078661 http://dx.doi.org/10.3390/ijerph191710946 |
_version_ | 1784799036823306240 |
---|---|
author | Pei, Liang Wang, Chunhui Zuo, Yiping Liu, Xiaojie Chi, Yanyan |
author_facet | Pei, Liang Wang, Chunhui Zuo, Yiping Liu, Xiaojie Chi, Yanyan |
author_sort | Pei, Liang |
collection | PubMed |
description | The Yellow River is one of the most important water sources in China, and its surrounding land use affected by human activities is an important factor in water quality pollution. To understand the impact of land use types on water quality in the Sanmenxia section of the Yellow River, the water quality index (WQI) was used to evaluate the water quality. A self-organizing map (SOM) was used for clustering analysis of water quality indicators, and the relationship between surface water quality and land use types was further analyzed by redundancy analysis (RDA). The results showed that WQI values ranged from 82.60 to 507.27, and the highest value was the sampling site S3, whose water quality grade was “Likely not suitable for drinking”, mainly polluted by agricultural non-point sources ammonia nitrogen pollution. SOM clustered the sampling sites into 4 groups according to the water quality indicators, the main influencing factors for different groups were analyzed and explored in more depth in relation to land use types, suggesting that surface water quality was significantly connected with the proportion of land use types at the watershed scale in the interpretation of water quality change. The negative impact of cropland on surface water quality was greater than that of other land use types, and vegetation showed a greater positive impact on surface water quality than other land uses. The results provide evidence for water environment conservation based on land use in the watershed. |
format | Online Article Text |
id | pubmed-9517833 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-95178332022-09-29 Impacts of Land Use on Surface Water Quality Using Self-Organizing Map in Middle Region of the Yellow River Basin, China Pei, Liang Wang, Chunhui Zuo, Yiping Liu, Xiaojie Chi, Yanyan Int J Environ Res Public Health Article The Yellow River is one of the most important water sources in China, and its surrounding land use affected by human activities is an important factor in water quality pollution. To understand the impact of land use types on water quality in the Sanmenxia section of the Yellow River, the water quality index (WQI) was used to evaluate the water quality. A self-organizing map (SOM) was used for clustering analysis of water quality indicators, and the relationship between surface water quality and land use types was further analyzed by redundancy analysis (RDA). The results showed that WQI values ranged from 82.60 to 507.27, and the highest value was the sampling site S3, whose water quality grade was “Likely not suitable for drinking”, mainly polluted by agricultural non-point sources ammonia nitrogen pollution. SOM clustered the sampling sites into 4 groups according to the water quality indicators, the main influencing factors for different groups were analyzed and explored in more depth in relation to land use types, suggesting that surface water quality was significantly connected with the proportion of land use types at the watershed scale in the interpretation of water quality change. The negative impact of cropland on surface water quality was greater than that of other land use types, and vegetation showed a greater positive impact on surface water quality than other land uses. The results provide evidence for water environment conservation based on land use in the watershed. MDPI 2022-09-02 /pmc/articles/PMC9517833/ /pubmed/36078661 http://dx.doi.org/10.3390/ijerph191710946 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Pei, Liang Wang, Chunhui Zuo, Yiping Liu, Xiaojie Chi, Yanyan Impacts of Land Use on Surface Water Quality Using Self-Organizing Map in Middle Region of the Yellow River Basin, China |
title | Impacts of Land Use on Surface Water Quality Using Self-Organizing Map in Middle Region of the Yellow River Basin, China |
title_full | Impacts of Land Use on Surface Water Quality Using Self-Organizing Map in Middle Region of the Yellow River Basin, China |
title_fullStr | Impacts of Land Use on Surface Water Quality Using Self-Organizing Map in Middle Region of the Yellow River Basin, China |
title_full_unstemmed | Impacts of Land Use on Surface Water Quality Using Self-Organizing Map in Middle Region of the Yellow River Basin, China |
title_short | Impacts of Land Use on Surface Water Quality Using Self-Organizing Map in Middle Region of the Yellow River Basin, China |
title_sort | impacts of land use on surface water quality using self-organizing map in middle region of the yellow river basin, china |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9517833/ https://www.ncbi.nlm.nih.gov/pubmed/36078661 http://dx.doi.org/10.3390/ijerph191710946 |
work_keys_str_mv | AT peiliang impactsoflanduseonsurfacewaterqualityusingselforganizingmapinmiddleregionoftheyellowriverbasinchina AT wangchunhui impactsoflanduseonsurfacewaterqualityusingselforganizingmapinmiddleregionoftheyellowriverbasinchina AT zuoyiping impactsoflanduseonsurfacewaterqualityusingselforganizingmapinmiddleregionoftheyellowriverbasinchina AT liuxiaojie impactsoflanduseonsurfacewaterqualityusingselforganizingmapinmiddleregionoftheyellowriverbasinchina AT chiyanyan impactsoflanduseonsurfacewaterqualityusingselforganizingmapinmiddleregionoftheyellowriverbasinchina |