A comprehensive analysis of impacts of socio-economic development and land use on river water quality in a megacity-region: a case study
A comprehensive analysis of impacts of socio-economic development and land use on water quality is very useful for better planning and management of river basins by government. In this study, the North Canal River through a megacity-region of Beijing-Tianjin-Hebei Province in China was chosen to qua...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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IOP Publishing
2023-01-01
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| Series: | Environmental Research Communications |
| Subjects: | |
| Online Access: | https://doi.org/10.1088/2515-7620/acbbbd |
| _version_ | 1797844672132939776 |
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| author | Liying Zhu Yuanyuan Chen Yawei Wang Yuansong Wei Hua Zheng Yuxin Zhang |
| author_facet | Liying Zhu Yuanyuan Chen Yawei Wang Yuansong Wei Hua Zheng Yuxin Zhang |
| author_sort | Liying Zhu |
| collection | DOAJ |
| description | A comprehensive analysis of impacts of socio-economic development and land use on water quality is very useful for better planning and management of river basins by government. In this study, the North Canal River through a megacity-region of Beijing-Tianjin-Hebei Province in China was chosen to quantify impact of 10 socio-economic factors and 6 land use types on water quality in the watershed. The principal component regression (PCR) method was thus applied in this study to quantify effects of socio-economic development and land use types on river water quality through overcoming multicollinearity problems among influencing factors. Results showed that the water quality in the North Canal River improved significantly from serious pollution. Compared with 2010, the annual average pollution index (PI) of COD, NH _3 –N, TN, and TP decreased significantly in 2018, especially the PI of NH _3 –N decreased the most, from 8.62 in 2010 to <1 in 2018, implying that the concentration of NH _3 –N basically met the water quality assessment standard in 2018. The major water pollutant in the basin had shifted from NH _3 –N in 2010 to TN in 2018. The absolute impact coefficients of industrial restructuring, population density, upgraded municipal sewage treatment requirements (including sewage treatment rate and discharge standards of water pollutants for municipal WWTPs), and urbanization rate with COD, NH _3 –N and TP were higher than those of other factors, indicating that the impact of socio-economic factors on water quality was more significant than that of land use types, and the socio-economic factors may offset or alter the impact of land use on river water quality in areas disturbed by human activities. |
| first_indexed | 2024-04-09T17:26:04Z |
| format | Article |
| id | doaj.art-7c7537be10ba4adbaedc8fe4c4e45ed6 |
| institution | Directory Open Access Journal |
| issn | 2515-7620 |
| language | English |
| last_indexed | 2024-04-09T17:26:04Z |
| publishDate | 2023-01-01 |
| publisher | IOP Publishing |
| record_format | Article |
| series | Environmental Research Communications |
| spelling | doaj.art-7c7537be10ba4adbaedc8fe4c4e45ed62023-04-18T13:49:17ZengIOP PublishingEnvironmental Research Communications2515-76202023-01-015202500610.1088/2515-7620/acbbbdA comprehensive analysis of impacts of socio-economic development and land use on river water quality in a megacity-region: a case studyLiying Zhu0https://orcid.org/0000-0001-9194-6990Yuanyuan Chen1Yawei Wang2Yuansong Wei3Hua Zheng4Yuxin Zhang5State Key Joint Laboratory of Environment Simulation and Pollution Control, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences , Beijing 100085, People’s Republic of China; Laboratory of Water Pollution Control Technology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences , Beijing 100085, People’s Republic of ChinaState Key Joint Laboratory of Environment Simulation and Pollution Control, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences , Beijing 100085, People’s Republic of ChinaState Key Joint Laboratory of Environment Simulation and Pollution Control, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences , Beijing 100085, People’s Republic of ChinaState Key Joint Laboratory of Environment Simulation and Pollution Control, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences , Beijing 100085, People’s Republic of China; Laboratory of Water Pollution Control Technology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences , Beijing 100085, People’s Republic of China; University of Chinese Academy of Sciences , Beijing 100049, People’s Republic of ChinaState Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences , Beijing 100085, People’s Republic of ChinaState Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences , Beijing 100085, People’s Republic of ChinaA comprehensive analysis of impacts of socio-economic development and land use on water quality is very useful for better planning and management of river basins by government. In this study, the North Canal River through a megacity-region of Beijing-Tianjin-Hebei Province in China was chosen to quantify impact of 10 socio-economic factors and 6 land use types on water quality in the watershed. The principal component regression (PCR) method was thus applied in this study to quantify effects of socio-economic development and land use types on river water quality through overcoming multicollinearity problems among influencing factors. Results showed that the water quality in the North Canal River improved significantly from serious pollution. Compared with 2010, the annual average pollution index (PI) of COD, NH _3 –N, TN, and TP decreased significantly in 2018, especially the PI of NH _3 –N decreased the most, from 8.62 in 2010 to <1 in 2018, implying that the concentration of NH _3 –N basically met the water quality assessment standard in 2018. The major water pollutant in the basin had shifted from NH _3 –N in 2010 to TN in 2018. The absolute impact coefficients of industrial restructuring, population density, upgraded municipal sewage treatment requirements (including sewage treatment rate and discharge standards of water pollutants for municipal WWTPs), and urbanization rate with COD, NH _3 –N and TP were higher than those of other factors, indicating that the impact of socio-economic factors on water quality was more significant than that of land use types, and the socio-economic factors may offset or alter the impact of land use on river water quality in areas disturbed by human activities.https://doi.org/10.1088/2515-7620/acbbbdland use typewater qualityprincipal component regressionsocioeconomic factorsmegacity-region |
| spellingShingle | Liying Zhu Yuanyuan Chen Yawei Wang Yuansong Wei Hua Zheng Yuxin Zhang A comprehensive analysis of impacts of socio-economic development and land use on river water quality in a megacity-region: a case study Environmental Research Communications land use type water quality principal component regression socioeconomic factors megacity-region |
| title | A comprehensive analysis of impacts of socio-economic development and land use on river water quality in a megacity-region: a case study |
| title_full | A comprehensive analysis of impacts of socio-economic development and land use on river water quality in a megacity-region: a case study |
| title_fullStr | A comprehensive analysis of impacts of socio-economic development and land use on river water quality in a megacity-region: a case study |
| title_full_unstemmed | A comprehensive analysis of impacts of socio-economic development and land use on river water quality in a megacity-region: a case study |
| title_short | A comprehensive analysis of impacts of socio-economic development and land use on river water quality in a megacity-region: a case study |
| title_sort | comprehensive analysis of impacts of socio economic development and land use on river water quality in a megacity region a case study |
| topic | land use type water quality principal component regression socioeconomic factors megacity-region |
| url | https://doi.org/10.1088/2515-7620/acbbbd |
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