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:	Yuepeng Liu, Chuanfeng Yang, Xinyang Yu, Mengwen Wang, Wei Qi
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	non-point source pollution “source-sink” theory location weighted landscape contrast index (<i>LWLCI</i>) landscape patterns Medicine R
Acceso en línea:	https://doaj.org/article/c853907c78ca4355a17c386ecdb5444c
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spelling	oai:doaj.org-article:c853907c78ca4355a17c386ecdb5444c2021-11-11T16:11:39ZMonitoring the Landscape Pattern and Characteristics of Non-Point Source Pollution in a Mountainous River Basin10.3390/ijerph1821110321660-46011661-7827https://doaj.org/article/c853907c78ca4355a17c386ecdb5444c2021-10-01T00:00:00Zhttps://www.mdpi.com/1660-4601/18/21/11032https://doaj.org/toc/1661-7827https://doaj.org/toc/1660-4601This 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 (<i>LWLCI</i>) was calculated based on the “source-sink” theory. Qixia was further divided into five sections based on the <i>LWLCI</i> 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 <i>LWCI</i> 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.Yuepeng LiuChuanfeng YangXinyang YuMengwen WangWei QiMDPI AGarticlenon-point source pollution“source-sink” theorylocation weighted landscape contrast index (<i>LWLCI</i>)landscape patternsMedicineRENInternational Journal of Environmental Research and Public Health, Vol 18, Iss 11032, p 11032 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	non-point source pollution “source-sink” theory location weighted landscape contrast index (<i>LWLCI</i>) landscape patterns Medicine R
spellingShingle	non-point source pollution “source-sink” theory location weighted landscape contrast index (<i>LWLCI</i>) landscape patterns Medicine R Yuepeng Liu Chuanfeng Yang Xinyang Yu Mengwen Wang Wei Qi Monitoring the Landscape Pattern and Characteristics of Non-Point Source Pollution in a Mountainous River Basin
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 (<i>LWLCI</i>) was calculated based on the “source-sink” theory. Qixia was further divided into five sections based on the <i>LWLCI</i> 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 <i>LWCI</i> 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.
format	article
author	Yuepeng Liu Chuanfeng Yang Xinyang Yu Mengwen Wang Wei Qi
author_facet	Yuepeng Liu Chuanfeng Yang Xinyang Yu Mengwen Wang Wei Qi
author_sort	Yuepeng Liu
title	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_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_sort	monitoring the landscape pattern and characteristics of non-point source pollution in a mountainous river basin
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/c853907c78ca4355a17c386ecdb5444c
work_keys_str_mv	AT yuepengliu monitoringthelandscapepatternandcharacteristicsofnonpointsourcepollutioninamountainousriverbasin AT chuanfengyang monitoringthelandscapepatternandcharacteristicsofnonpointsourcepollutioninamountainousriverbasin AT xinyangyu monitoringthelandscapepatternandcharacteristicsofnonpointsourcepollutioninamountainousriverbasin AT mengwenwang monitoringthelandscapepatternandcharacteristicsofnonpointsourcepollutioninamountainousriverbasin AT weiqi monitoringthelandscapepatternandcharacteristicsofnonpointsourcepollutioninamountainousriverbasin
_version_	1718432382800887808

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

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