Predicting basin water quality using source-sink landscape distribution metrics in the Danjiangkou Reservoir of China

Land use and land cover changes due to human development are a concern for water-resource managers as they increase the spread of non-point source pollution to rivers, lakes, and reservoirs, impacting the quality of freshwater resources. Danjiangkou Reservoir is the largest inter-regional water tran...

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Autores principales:	Bojun Ma, Changguang Wu, Feixia Ding, Zhixiang Zhou
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Land use Land cover Source-sink landscape pattern index Water quality Danjiangkou Reservoir Non-point source pollution Ecology QH540-549.5
Acceso en línea:	https://doaj.org/article/493f62a92d63497b8f336a6aa589323d
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spelling	oai:doaj.org-article:493f62a92d63497b8f336a6aa589323d2021-12-01T04:51:36ZPredicting basin water quality using source-sink landscape distribution metrics in the Danjiangkou Reservoir of China1470-160X10.1016/j.ecolind.2021.107697https://doaj.org/article/493f62a92d63497b8f336a6aa589323d2021-08-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1470160X21003629https://doaj.org/toc/1470-160XLand use and land cover changes due to human development are a concern for water-resource managers as they increase the spread of non-point source pollution to rivers, lakes, and reservoirs, impacting the quality of freshwater resources. Danjiangkou Reservoir is the largest inter-regional water transfer project in China and provides water services to cities along the middle route of the South-to-North Water Transfer Project and Beijing. Hence, watershed management decisions that may affect the water quality of the reservoir are particularly important. This study investigated the land use and land cover of a typical agricultural basin near the Danjiangkou Reservoir. The basin was divided into 13 sub-basins and the water quality was sampled six times during 2018 to determine the water quality index (WQI) for each sub-basin. The land use type and digital elevation model of each sub-basin were derived from remote-sensing data and then used to determine source-sink landscape distribution metrics; including the flow accumulation index (FAI), location-weighted landscape contrast index (LWLI), and landscape capacity distribution index (LCDI). Correlation and regression analysis were then used to compare these indices with the WQI. The WQI had a significant negative correlation with both the LWLI and LCDI, and a weak correlation with the FAI. Results indicated that the land use classification, proportion of source and sink landscape types, landscape flow path length, and landscape nutrient inputs were the main explanatory factors for river water quality in the basin. The biggest challenge in the research process is to obtain the parameters of landscape pattern index and its tedious calculation formula. The most successful part of the study is that it takes into account the flow path, roughness coefficient of land, nutrient input and other factors, more truly simulates the rainfall runoff process under natural conditions, and obtains better regression results between each evaluation index and water quality index. These findings show that remote-sensing data can be used in lieu of direct sampling to evaluate basin-water quality. Furthermore, these data can be used to predict the impact of future land use changes on water quality and facilitate more effective watershed management.Bojun MaChangguang WuFeixia DingZhixiang ZhouElsevierarticleLand useLand coverSource-sink landscape pattern indexWater qualityDanjiangkou ReservoirNon-point source pollutionEcologyQH540-549.5ENEcological Indicators, Vol 127, Iss , Pp 107697- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Land use Land cover Source-sink landscape pattern index Water quality Danjiangkou Reservoir Non-point source pollution Ecology QH540-549.5
spellingShingle	Land use Land cover Source-sink landscape pattern index Water quality Danjiangkou Reservoir Non-point source pollution Ecology QH540-549.5 Bojun Ma Changguang Wu Feixia Ding Zhixiang Zhou Predicting basin water quality using source-sink landscape distribution metrics in the Danjiangkou Reservoir of China
description	Land use and land cover changes due to human development are a concern for water-resource managers as they increase the spread of non-point source pollution to rivers, lakes, and reservoirs, impacting the quality of freshwater resources. Danjiangkou Reservoir is the largest inter-regional water transfer project in China and provides water services to cities along the middle route of the South-to-North Water Transfer Project and Beijing. Hence, watershed management decisions that may affect the water quality of the reservoir are particularly important. This study investigated the land use and land cover of a typical agricultural basin near the Danjiangkou Reservoir. The basin was divided into 13 sub-basins and the water quality was sampled six times during 2018 to determine the water quality index (WQI) for each sub-basin. The land use type and digital elevation model of each sub-basin were derived from remote-sensing data and then used to determine source-sink landscape distribution metrics; including the flow accumulation index (FAI), location-weighted landscape contrast index (LWLI), and landscape capacity distribution index (LCDI). Correlation and regression analysis were then used to compare these indices with the WQI. The WQI had a significant negative correlation with both the LWLI and LCDI, and a weak correlation with the FAI. Results indicated that the land use classification, proportion of source and sink landscape types, landscape flow path length, and landscape nutrient inputs were the main explanatory factors for river water quality in the basin. The biggest challenge in the research process is to obtain the parameters of landscape pattern index and its tedious calculation formula. The most successful part of the study is that it takes into account the flow path, roughness coefficient of land, nutrient input and other factors, more truly simulates the rainfall runoff process under natural conditions, and obtains better regression results between each evaluation index and water quality index. These findings show that remote-sensing data can be used in lieu of direct sampling to evaluate basin-water quality. Furthermore, these data can be used to predict the impact of future land use changes on water quality and facilitate more effective watershed management.
format	article
author	Bojun Ma Changguang Wu Feixia Ding Zhixiang Zhou
author_facet	Bojun Ma Changguang Wu Feixia Ding Zhixiang Zhou
author_sort	Bojun Ma
title	Predicting basin water quality using source-sink landscape distribution metrics in the Danjiangkou Reservoir of China
title_short	Predicting basin water quality using source-sink landscape distribution metrics in the Danjiangkou Reservoir of China
title_full	Predicting basin water quality using source-sink landscape distribution metrics in the Danjiangkou Reservoir of China
title_fullStr	Predicting basin water quality using source-sink landscape distribution metrics in the Danjiangkou Reservoir of China
title_full_unstemmed	Predicting basin water quality using source-sink landscape distribution metrics in the Danjiangkou Reservoir of China
title_sort	predicting basin water quality using source-sink landscape distribution metrics in the danjiangkou reservoir of china
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/493f62a92d63497b8f336a6aa589323d
work_keys_str_mv	AT bojunma predictingbasinwaterqualityusingsourcesinklandscapedistributionmetricsinthedanjiangkoureservoirofchina AT changguangwu predictingbasinwaterqualityusingsourcesinklandscapedistributionmetricsinthedanjiangkoureservoirofchina AT feixiading predictingbasinwaterqualityusingsourcesinklandscapedistributionmetricsinthedanjiangkoureservoirofchina AT zhixiangzhou predictingbasinwaterqualityusingsourcesinklandscapedistributionmetricsinthedanjiangkoureservoirofchina
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Predicting basin water quality using source-sink landscape distribution metrics in the Danjiangkou Reservoir of China

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