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Spatiotemporal variation of nitrogen and phosphorus and its main influencing factors in Huangshui River basin

The foundation of managing excess nutrients in river is the identification of key physical processes and the control of decisive influencing factors. The existing studies seldom consider the influence of rainfall-runoff relationship and only focus on a few anthropogenic activities and natural attrib...

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Autores principales: Dong, Biqiong, Qin, Tianling, Wang, Yu, Zhao, Yan, Liu, Shanshan, Feng, Jianming, Li, Chenhao, Zhang, Xin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8065014/
https://www.ncbi.nlm.nih.gov/pubmed/33891180
http://dx.doi.org/10.1007/s10661-021-09067-1
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author Dong, Biqiong
Qin, Tianling
Wang, Yu
Zhao, Yan
Liu, Shanshan
Feng, Jianming
Li, Chenhao
Zhang, Xin
author_facet Dong, Biqiong
Qin, Tianling
Wang, Yu
Zhao, Yan
Liu, Shanshan
Feng, Jianming
Li, Chenhao
Zhang, Xin
author_sort Dong, Biqiong
collection PubMed
description The foundation of managing excess nutrients in river is the identification of key physical processes and the control of decisive influencing factors. The existing studies seldom consider the influence of rainfall-runoff relationship and only focus on a few anthropogenic activities and natural attributes factors. To address this issue, a comprehensive set of influencing factors including rainfall-runoff relationship (represented by runoff coefficient), basic physical and chemical parameters of water quality, land use types, landscape patterns, topography, and socioeconomic development was constructed in this study. M–K test and cluster analysis were conducted to identify the temporal mutation and spatial clustering characteristics of NH(3)-N and TP in Huangshui River basin, respectively. Partial least squares regression was used to elucidate the linkages between water contaminants and the factors. As shown in the results, the temporal mutations of NH(3)-N and TP were obvious in the middle reaches, with 4 out of 7 catchments in the middle reaches have a larger number of mutations of NH(3)-N than other catchments. The cluster analysis results of NH(3)-N and TP among catchments were similar. This study also indicated that although the Huangshui River basin was located in the upper reaches of the Yellow River, the influences of rainfall-runoff relationship on spatiotemporal changes of NH(3)-N and TP in its sub-basins were limited. Only the temporal change of NH(3)-N in Jintan catchment in the upstream area was significantly affected by runoff coefficient. The indexes of proportion of water area (PWA), proportion of impervious area (PIA), and proportion of primary industry (PPI) were the top three influencing factors of temporal variation of NH(3)-N and TP for most catchments in the middle reaches. The temporal change of NH(3)-N in Jintan catchment in the upstream area was obviously affected by runoff coefficient. The spatial variation of NH(3)-N and TP were all affected by PWA and proportion of secondary industry significantly. The results of this study can provide theoretical basis and technical support for the control and management of nitrogen and phosphorus pollution in upper reaches of rivers. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10661-021-09067-1.
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spelling pubmed-80650142021-05-05 Spatiotemporal variation of nitrogen and phosphorus and its main influencing factors in Huangshui River basin Dong, Biqiong Qin, Tianling Wang, Yu Zhao, Yan Liu, Shanshan Feng, Jianming Li, Chenhao Zhang, Xin Environ Monit Assess Article The foundation of managing excess nutrients in river is the identification of key physical processes and the control of decisive influencing factors. The existing studies seldom consider the influence of rainfall-runoff relationship and only focus on a few anthropogenic activities and natural attributes factors. To address this issue, a comprehensive set of influencing factors including rainfall-runoff relationship (represented by runoff coefficient), basic physical and chemical parameters of water quality, land use types, landscape patterns, topography, and socioeconomic development was constructed in this study. M–K test and cluster analysis were conducted to identify the temporal mutation and spatial clustering characteristics of NH(3)-N and TP in Huangshui River basin, respectively. Partial least squares regression was used to elucidate the linkages between water contaminants and the factors. As shown in the results, the temporal mutations of NH(3)-N and TP were obvious in the middle reaches, with 4 out of 7 catchments in the middle reaches have a larger number of mutations of NH(3)-N than other catchments. The cluster analysis results of NH(3)-N and TP among catchments were similar. This study also indicated that although the Huangshui River basin was located in the upper reaches of the Yellow River, the influences of rainfall-runoff relationship on spatiotemporal changes of NH(3)-N and TP in its sub-basins were limited. Only the temporal change of NH(3)-N in Jintan catchment in the upstream area was significantly affected by runoff coefficient. The indexes of proportion of water area (PWA), proportion of impervious area (PIA), and proportion of primary industry (PPI) were the top three influencing factors of temporal variation of NH(3)-N and TP for most catchments in the middle reaches. The temporal change of NH(3)-N in Jintan catchment in the upstream area was obviously affected by runoff coefficient. The spatial variation of NH(3)-N and TP were all affected by PWA and proportion of secondary industry significantly. The results of this study can provide theoretical basis and technical support for the control and management of nitrogen and phosphorus pollution in upper reaches of rivers. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10661-021-09067-1. Springer International Publishing 2021-04-23 2021 /pmc/articles/PMC8065014/ /pubmed/33891180 http://dx.doi.org/10.1007/s10661-021-09067-1 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Dong, Biqiong
Qin, Tianling
Wang, Yu
Zhao, Yan
Liu, Shanshan
Feng, Jianming
Li, Chenhao
Zhang, Xin
Spatiotemporal variation of nitrogen and phosphorus and its main influencing factors in Huangshui River basin
title Spatiotemporal variation of nitrogen and phosphorus and its main influencing factors in Huangshui River basin
title_full Spatiotemporal variation of nitrogen and phosphorus and its main influencing factors in Huangshui River basin
title_fullStr Spatiotemporal variation of nitrogen and phosphorus and its main influencing factors in Huangshui River basin
title_full_unstemmed Spatiotemporal variation of nitrogen and phosphorus and its main influencing factors in Huangshui River basin
title_short Spatiotemporal variation of nitrogen and phosphorus and its main influencing factors in Huangshui River basin
title_sort spatiotemporal variation of nitrogen and phosphorus and its main influencing factors in huangshui river basin
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8065014/
https://www.ncbi.nlm.nih.gov/pubmed/33891180
http://dx.doi.org/10.1007/s10661-021-09067-1
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