Cargando…

Multi-scale relationship between land use/land cover types and water quality in different pollution source areas in Fuxian Lake Basin

The spatial-temporal evolution of land use and land cover (LULC) and its multi-scale impact on the water environment is becoming highly significant in the LULC research field. The current research results show that the more significant scale impact on LULC and water quality in the whole basin and th...

Descripción completa

Detalles Bibliográficos
Autores principales: Li, Shihua, Peng, Shuangyun, Jin, Baoxuan, Zhou, Junsong, Li, YingXin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6637925/
https://www.ncbi.nlm.nih.gov/pubmed/31341740
http://dx.doi.org/10.7717/peerj.7283
_version_ 1783436341188493312
author Li, Shihua
Peng, Shuangyun
Jin, Baoxuan
Zhou, Junsong
Li, YingXin
author_facet Li, Shihua
Peng, Shuangyun
Jin, Baoxuan
Zhou, Junsong
Li, YingXin
author_sort Li, Shihua
collection PubMed
description The spatial-temporal evolution of land use and land cover (LULC) and its multi-scale impact on the water environment is becoming highly significant in the LULC research field. The current research results show that the more significant scale impact on LULC and water quality in the whole basin and the riparian buffer scale is unclear. A consensus has not been reached about the optimal spatial scale problem in the relationship between the LULC and water quality. The typical lake basin of the Fuxian Lake watershed was used as the research area and the scale relationship between the LULC and water quality was taken as the research object. High resolution remote sensing images, archival resources of surveying, mapping and geographic information, and the monitoring data of water quality were utilized as the main data sources. Remote sensing and Geometric Information Technology were applied. A multi-scale object random forest algorithm (MSORF) was used to raise the classification accuracy of the high resolution remote sensing images from 2005 to 2017 in the basin and the multi-scale relationship between the two was discussed using the Pearson correlation analysis method. From 2005 to 2017, the water quality indicators (Chemical Oxygen Demand (COD), Total Phosphorous (TP), Total Nitrogen (TN)) of nine rivers in the lake’s basin and the Fuxian Lake center were used as response variables and the LULC type in the basin was interpreted as the explanation variable. The stepwise selection method was used to establish a relationship model for the water quality of the water entering the lake and the significance of the LULC type was established at p < 0.05.The results show that in the seven spatial scales, including the whole watershed, sub-basin, and the riparian buffer zone (100 m, 300 m, 500 m, 700 m, and 1,000 m): (1) whether it is in the whole basin or buffer zone of different pollution source areas, impervious surface area (ISA), or other land and is positively correlated with the water quality and promotes it; (2) forestry and grass cover is another important factor and is negatively correlated with water quality; (3) cropping land is not a major factor explaining the decline in water quality; (4) the 300 m buffer zone of the river is the strongest spatial scale for the LULC type to affect the Chemical Oxygen Demand (COD). Reasonable planning for the proportion of land types in the riparian zone and control over the development of urban land in the river basin is necessary for the improvement of the urban river water quality. Some studies have found that the relationship between LULC and water quality in the 100 m buffer zone is more significant than the whole basin scale. While our study is consistent with the results of research conducted by relevant scholars in Aibi Lake in Xinjiang, and Erhai and Fuxian Lakes in Yunnan. Thus, it may be inferred that for the plateau lake basin, the 300 m riparian buffer is the strongest spatial scale for the LULC type to affect COD.
format Online
Article
Text
id pubmed-6637925
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher PeerJ Inc.
record_format MEDLINE/PubMed
spelling pubmed-66379252019-07-24 Multi-scale relationship between land use/land cover types and water quality in different pollution source areas in Fuxian Lake Basin Li, Shihua Peng, Shuangyun Jin, Baoxuan Zhou, Junsong Li, YingXin PeerJ Ecology The spatial-temporal evolution of land use and land cover (LULC) and its multi-scale impact on the water environment is becoming highly significant in the LULC research field. The current research results show that the more significant scale impact on LULC and water quality in the whole basin and the riparian buffer scale is unclear. A consensus has not been reached about the optimal spatial scale problem in the relationship between the LULC and water quality. The typical lake basin of the Fuxian Lake watershed was used as the research area and the scale relationship between the LULC and water quality was taken as the research object. High resolution remote sensing images, archival resources of surveying, mapping and geographic information, and the monitoring data of water quality were utilized as the main data sources. Remote sensing and Geometric Information Technology were applied. A multi-scale object random forest algorithm (MSORF) was used to raise the classification accuracy of the high resolution remote sensing images from 2005 to 2017 in the basin and the multi-scale relationship between the two was discussed using the Pearson correlation analysis method. From 2005 to 2017, the water quality indicators (Chemical Oxygen Demand (COD), Total Phosphorous (TP), Total Nitrogen (TN)) of nine rivers in the lake’s basin and the Fuxian Lake center were used as response variables and the LULC type in the basin was interpreted as the explanation variable. The stepwise selection method was used to establish a relationship model for the water quality of the water entering the lake and the significance of the LULC type was established at p < 0.05.The results show that in the seven spatial scales, including the whole watershed, sub-basin, and the riparian buffer zone (100 m, 300 m, 500 m, 700 m, and 1,000 m): (1) whether it is in the whole basin or buffer zone of different pollution source areas, impervious surface area (ISA), or other land and is positively correlated with the water quality and promotes it; (2) forestry and grass cover is another important factor and is negatively correlated with water quality; (3) cropping land is not a major factor explaining the decline in water quality; (4) the 300 m buffer zone of the river is the strongest spatial scale for the LULC type to affect the Chemical Oxygen Demand (COD). Reasonable planning for the proportion of land types in the riparian zone and control over the development of urban land in the river basin is necessary for the improvement of the urban river water quality. Some studies have found that the relationship between LULC and water quality in the 100 m buffer zone is more significant than the whole basin scale. While our study is consistent with the results of research conducted by relevant scholars in Aibi Lake in Xinjiang, and Erhai and Fuxian Lakes in Yunnan. Thus, it may be inferred that for the plateau lake basin, the 300 m riparian buffer is the strongest spatial scale for the LULC type to affect COD. PeerJ Inc. 2019-07-15 /pmc/articles/PMC6637925/ /pubmed/31341740 http://dx.doi.org/10.7717/peerj.7283 Text en ©2019 Li et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.
spellingShingle Ecology
Li, Shihua
Peng, Shuangyun
Jin, Baoxuan
Zhou, Junsong
Li, YingXin
Multi-scale relationship between land use/land cover types and water quality in different pollution source areas in Fuxian Lake Basin
title Multi-scale relationship between land use/land cover types and water quality in different pollution source areas in Fuxian Lake Basin
title_full Multi-scale relationship between land use/land cover types and water quality in different pollution source areas in Fuxian Lake Basin
title_fullStr Multi-scale relationship between land use/land cover types and water quality in different pollution source areas in Fuxian Lake Basin
title_full_unstemmed Multi-scale relationship between land use/land cover types and water quality in different pollution source areas in Fuxian Lake Basin
title_short Multi-scale relationship between land use/land cover types and water quality in different pollution source areas in Fuxian Lake Basin
title_sort multi-scale relationship between land use/land cover types and water quality in different pollution source areas in fuxian lake basin
topic Ecology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6637925/
https://www.ncbi.nlm.nih.gov/pubmed/31341740
http://dx.doi.org/10.7717/peerj.7283
work_keys_str_mv AT lishihua multiscalerelationshipbetweenlanduselandcovertypesandwaterqualityindifferentpollutionsourceareasinfuxianlakebasin
AT pengshuangyun multiscalerelationshipbetweenlanduselandcovertypesandwaterqualityindifferentpollutionsourceareasinfuxianlakebasin
AT jinbaoxuan multiscalerelationshipbetweenlanduselandcovertypesandwaterqualityindifferentpollutionsourceareasinfuxianlakebasin
AT zhoujunsong multiscalerelationshipbetweenlanduselandcovertypesandwaterqualityindifferentpollutionsourceareasinfuxianlakebasin
AT liyingxin multiscalerelationshipbetweenlanduselandcovertypesandwaterqualityindifferentpollutionsourceareasinfuxianlakebasin