Assessment of the Impacts of Land Use Changes on Nonpoint Source Pollution Inputs Upstream of the Three Gorges Reservoir
In recent years, land use upstream of the Three Gorges Reservoir (TGR) has changed significantly because of the TGR project. In this study, the Soil and Water Assessment Tool (SWAT) model was examined for its ability to assess relationships between land use changes and nonpoint pollutant indexes ups...
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doaj-9facbd7208064f1fb0dbfdd7c2a005782020-11-25T02:15:34ZengHindawi LimitedThe Scientific World Journal2356-61401537-744X2014-01-01201410.1155/2014/526240526240Assessment of the Impacts of Land Use Changes on Nonpoint Source Pollution Inputs Upstream of the Three Gorges ReservoirHuicai Yang0Guoqiang Wang1Yan Yang2Baolin Xue3Binbin Wu4College of Water Sciences, Beijing Normal University, Beijing 100875, ChinaCollege of Water Sciences, Beijing Normal University, Beijing 100875, ChinaUnited Faculty of Agriculture, Gifu University, 1-1 Yanagido, Gifu 501-1193, JapanState Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, ChinaCollege of Water Sciences, Beijing Normal University, Beijing 100875, ChinaIn recent years, land use upstream of the Three Gorges Reservoir (TGR) has changed significantly because of the TGR project. In this study, the Soil and Water Assessment Tool (SWAT) model was examined for its ability to assess relationships between land use changes and nonpoint pollutant indexes upstream of the TGR. Results indicated that the SWAT model, calibrated with the adjusted parameters, could successfully reproduce the nonpoint indexes at the water quality monitoring sites in the two rivers. The different land use change types were shown to be sensitive to nonpoint pollutants in the study area. The land use change type from upland to water was the strongest influence on changes in total nitrogen and total phosphorus. An empirical regression equation between nonpoint indexes and different land use change types was developed for the study area by partial least squares regression (PLSR) as follows: Y=b0+∑i=1mbiXi. This regression equation was useful for evaluating the influence of land use change types on changes in nonpoint pollutants over a long time period. The results from this study may be useful for the TGR management and may help to reduce nonpoint pollutant loads into downstream water bodies.http://dx.doi.org/10.1155/2014/526240 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Huicai Yang Guoqiang Wang Yan Yang Baolin Xue Binbin Wu |
spellingShingle |
Huicai Yang Guoqiang Wang Yan Yang Baolin Xue Binbin Wu Assessment of the Impacts of Land Use Changes on Nonpoint Source Pollution Inputs Upstream of the Three Gorges Reservoir The Scientific World Journal |
author_facet |
Huicai Yang Guoqiang Wang Yan Yang Baolin Xue Binbin Wu |
author_sort |
Huicai Yang |
title |
Assessment of the Impacts of Land Use Changes on Nonpoint Source Pollution Inputs Upstream of the Three Gorges Reservoir |
title_short |
Assessment of the Impacts of Land Use Changes on Nonpoint Source Pollution Inputs Upstream of the Three Gorges Reservoir |
title_full |
Assessment of the Impacts of Land Use Changes on Nonpoint Source Pollution Inputs Upstream of the Three Gorges Reservoir |
title_fullStr |
Assessment of the Impacts of Land Use Changes on Nonpoint Source Pollution Inputs Upstream of the Three Gorges Reservoir |
title_full_unstemmed |
Assessment of the Impacts of Land Use Changes on Nonpoint Source Pollution Inputs Upstream of the Three Gorges Reservoir |
title_sort |
assessment of the impacts of land use changes on nonpoint source pollution inputs upstream of the three gorges reservoir |
publisher |
Hindawi Limited |
series |
The Scientific World Journal |
issn |
2356-6140 1537-744X |
publishDate |
2014-01-01 |
description |
In recent years, land use upstream of the Three Gorges Reservoir (TGR) has changed significantly because of the TGR project. In this study, the Soil and Water Assessment Tool (SWAT) model was examined for its ability to assess relationships between land use changes and nonpoint pollutant indexes upstream of the TGR. Results indicated that the SWAT model, calibrated with the adjusted parameters, could successfully reproduce the nonpoint indexes at the water quality monitoring sites in the two rivers. The different land use change types were shown to be sensitive to nonpoint pollutants in the study area. The land use change type from upland to water was the strongest influence on changes in total nitrogen and total phosphorus. An empirical regression equation between nonpoint indexes and different land use change types was developed for the study area by partial least squares regression (PLSR) as follows: Y=b0+∑i=1mbiXi. This regression equation was useful for evaluating the influence of land use change types on changes in nonpoint pollutants over a long time period. The results from this study may be useful for the TGR management and may help to reduce nonpoint pollutant loads into downstream water bodies. |
url |
http://dx.doi.org/10.1155/2014/526240 |
work_keys_str_mv |
AT huicaiyang assessmentoftheimpactsoflandusechangesonnonpointsourcepollutioninputsupstreamofthethreegorgesreservoir AT guoqiangwang assessmentoftheimpactsoflandusechangesonnonpointsourcepollutioninputsupstreamofthethreegorgesreservoir AT yanyang assessmentoftheimpactsoflandusechangesonnonpointsourcepollutioninputsupstreamofthethreegorgesreservoir AT baolinxue assessmentoftheimpactsoflandusechangesonnonpointsourcepollutioninputsupstreamofthethreegorgesreservoir AT binbinwu assessmentoftheimpactsoflandusechangesonnonpointsourcepollutioninputsupstreamofthethreegorgesreservoir |
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