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Monitoring the Landscape Pattern and Characteristics of Non-Point Source Pollution in a Mountainous River Basin

This study aimed to assess the relationship between the landscape patterns and non-point source (NPS) pollution distribution in Qixia County, China. The sub-basin classification was conducted based on a digital elevation model and Landsat8 satellite images. Water samples were collected from each sub...

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Autores principales: Liu, Yuepeng, Yang, Chuanfeng, Yu, Xinyang, Wang, Mengwen, Qi, Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8582686/
https://www.ncbi.nlm.nih.gov/pubmed/34769560
http://dx.doi.org/10.3390/ijerph182111032
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author Liu, Yuepeng
Yang, Chuanfeng
Yu, Xinyang
Wang, Mengwen
Qi, Wei
author_facet Liu, Yuepeng
Yang, Chuanfeng
Yu, Xinyang
Wang, Mengwen
Qi, Wei
author_sort Liu, Yuepeng
collection PubMed
description This study aimed to assess the relationship between the landscape patterns and non-point source (NPS) pollution distribution in Qixia County, China. The sub-basin classification was conducted based on a digital elevation model and Landsat8 satellite images. Water samples were collected from each sub-basin, andtheir water quality during the wet and dry seasons was estimated. The correlation between the landscape indices and water pollution indicators was determined by Pearson analysis. The location-weighted landscape contrast index (LWLCI) was calculated based on the “source-sink” theory. Qixia was further divided into five sections based on the LWLCI score to illustrate the potential risk of NPS pollution. The results showed that the water quality in Qixia County was generally good. Cultivated land, orchards, construction areas, and unused land were positively correlated with the water pollution index and weredesignated as the “source” landscape categories, while forests, grasslands, and water bodies, which were negatively correlated with water pollution, were the “sink” landscapes; the LWCI was high in 36.94% of the study area. In these areas, measures such as increasing vegetation buffer zones are necessary to decrease the sediment and nutrient loads carried by precipitation.
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spelling pubmed-85826862021-11-12 Monitoring the Landscape Pattern and Characteristics of Non-Point Source Pollution in a Mountainous River Basin Liu, Yuepeng Yang, Chuanfeng Yu, Xinyang Wang, Mengwen Qi, Wei Int J Environ Res Public Health Article This study aimed to assess the relationship between the landscape patterns and non-point source (NPS) pollution distribution in Qixia County, China. The sub-basin classification was conducted based on a digital elevation model and Landsat8 satellite images. Water samples were collected from each sub-basin, andtheir water quality during the wet and dry seasons was estimated. The correlation between the landscape indices and water pollution indicators was determined by Pearson analysis. The location-weighted landscape contrast index (LWLCI) was calculated based on the “source-sink” theory. Qixia was further divided into five sections based on the LWLCI score to illustrate the potential risk of NPS pollution. The results showed that the water quality in Qixia County was generally good. Cultivated land, orchards, construction areas, and unused land were positively correlated with the water pollution index and weredesignated as the “source” landscape categories, while forests, grasslands, and water bodies, which were negatively correlated with water pollution, were the “sink” landscapes; the LWCI was high in 36.94% of the study area. In these areas, measures such as increasing vegetation buffer zones are necessary to decrease the sediment and nutrient loads carried by precipitation. MDPI 2021-10-20 /pmc/articles/PMC8582686/ /pubmed/34769560 http://dx.doi.org/10.3390/ijerph182111032 Text en © 2021 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
Liu, Yuepeng
Yang, Chuanfeng
Yu, Xinyang
Wang, Mengwen
Qi, Wei
Monitoring the Landscape Pattern and Characteristics of Non-Point Source Pollution in a Mountainous River Basin
title Monitoring the Landscape Pattern and Characteristics of Non-Point Source Pollution in a Mountainous River Basin
title_full Monitoring the Landscape Pattern and Characteristics of Non-Point Source Pollution in a Mountainous River Basin
title_fullStr Monitoring the Landscape Pattern and Characteristics of Non-Point Source Pollution in a Mountainous River Basin
title_full_unstemmed Monitoring the Landscape Pattern and Characteristics of Non-Point Source Pollution in a Mountainous River Basin
title_short Monitoring the Landscape Pattern and Characteristics of Non-Point Source Pollution in a Mountainous River Basin
title_sort monitoring the landscape pattern and characteristics of non-point source pollution in a mountainous river basin
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8582686/
https://www.ncbi.nlm.nih.gov/pubmed/34769560
http://dx.doi.org/10.3390/ijerph182111032
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