Numerical simulation of water environment capacity from wet, normal, and dry years: taking the Luo River as an example
Water pollution is a globally significant issue. Water environment simulation is an important tool to study water pollution. In order to investigate the impact of hydrological periods, water quality indicators and cross-sections on the water environment capacity, we took the Luo River in Luoyang Cit...
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| Format: | Article |
| Language: | English |
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IWA Publishing
2023-12-01
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| Series: | Aqua |
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| Online Access: | http://aqua.iwaponline.com/content/72/12/2446 |
| _version_ | 1797369624135729152 |
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| author | Yihao Wen Yao Wang |
| author_facet | Yihao Wen Yao Wang |
| author_sort | Yihao Wen |
| collection | DOAJ |
| description | Water pollution is a globally significant issue. Water environment simulation is an important tool to study water pollution. In order to investigate the impact of hydrological periods, water quality indicators and cross-sections on the water environment capacity, we took the Luo River in Luoyang City as an example, and used MIKE21-coupled hydrodynamic and water quality model and the segmentation method to calculate the water environment capacity of COD, TP, and NH3-N in wet, normal, and dry periods under L1 (Gao Yazhai-Lilou), L2 (Li Lou-Baimasi), and L3 (Baimasi-G207 Highway Bridge) section. The results of the study showed that from the hydrological period, the water environmental capacity was the largest in the wet period due to the dilution effect caused by higher precipitation; from the water quality indexes, the COD concentration was the largest due to industrial pollution, but the higher degradation coefficients result in the largest water environment capacity for COD; from the cross-section, L1 has the longest channel, thus the highest capacity of the water environment was L1. This result can broaden ideas for the application of the MIKE21 model, provide a basis for the calculation of the dynamic water environment capacity and water pollution control in the river.
HIGHLIGHTS
Innovative hydrodynamic water quality model evaluates Luo River pollution across diverse flow scenarios.;
Dry periods exhibit poorest water quality, while wet periods showcase the best.;
Identified sections exceeding capacity emphasize pollution management during distinct hydrological conditions.; |
| first_indexed | 2024-03-08T17:50:35Z |
| format | Article |
| id | doaj.art-e8c3709cf9394d3fb3ab67f32fa5c55f |
| institution | Directory Open Access Journal |
| issn | 2709-8028 2709-8036 |
| language | English |
| last_indexed | 2024-03-08T17:50:35Z |
| publishDate | 2023-12-01 |
| publisher | IWA Publishing |
| record_format | Article |
| series | Aqua |
| spelling | doaj.art-e8c3709cf9394d3fb3ab67f32fa5c55f2024-01-02T09:07:56ZengIWA PublishingAqua2709-80282709-80362023-12-0172122446247110.2166/aqua.2023.318318Numerical simulation of water environment capacity from wet, normal, and dry years: taking the Luo River as an exampleYihao Wen0Yao Wang1 Water Conservancy College, North China University of Water Resources and Electric Power, Zhengzhou 450046, China Water Conservancy College, North China University of Water Resources and Electric Power, Zhengzhou 450046, China Water pollution is a globally significant issue. Water environment simulation is an important tool to study water pollution. In order to investigate the impact of hydrological periods, water quality indicators and cross-sections on the water environment capacity, we took the Luo River in Luoyang City as an example, and used MIKE21-coupled hydrodynamic and water quality model and the segmentation method to calculate the water environment capacity of COD, TP, and NH3-N in wet, normal, and dry periods under L1 (Gao Yazhai-Lilou), L2 (Li Lou-Baimasi), and L3 (Baimasi-G207 Highway Bridge) section. The results of the study showed that from the hydrological period, the water environmental capacity was the largest in the wet period due to the dilution effect caused by higher precipitation; from the water quality indexes, the COD concentration was the largest due to industrial pollution, but the higher degradation coefficients result in the largest water environment capacity for COD; from the cross-section, L1 has the longest channel, thus the highest capacity of the water environment was L1. This result can broaden ideas for the application of the MIKE21 model, provide a basis for the calculation of the dynamic water environment capacity and water pollution control in the river. HIGHLIGHTS Innovative hydrodynamic water quality model evaluates Luo River pollution across diverse flow scenarios.; Dry periods exhibit poorest water quality, while wet periods showcase the best.; Identified sections exceeding capacity emphasize pollution management during distinct hydrological conditions.;http://aqua.iwaponline.com/content/72/12/2446luo rivermike21spatiotemporal variationswater environment capacitywater quality |
| spellingShingle | Yihao Wen Yao Wang Numerical simulation of water environment capacity from wet, normal, and dry years: taking the Luo River as an example Aqua luo river mike21 spatiotemporal variations water environment capacity water quality |
| title | Numerical simulation of water environment capacity from wet, normal, and dry years: taking the Luo River as an example |
| title_full | Numerical simulation of water environment capacity from wet, normal, and dry years: taking the Luo River as an example |
| title_fullStr | Numerical simulation of water environment capacity from wet, normal, and dry years: taking the Luo River as an example |
| title_full_unstemmed | Numerical simulation of water environment capacity from wet, normal, and dry years: taking the Luo River as an example |
| title_short | Numerical simulation of water environment capacity from wet, normal, and dry years: taking the Luo River as an example |
| title_sort | numerical simulation of water environment capacity from wet normal and dry years taking the luo river as an example |
| topic | luo river mike21 spatiotemporal variations water environment capacity water quality |
| url | http://aqua.iwaponline.com/content/72/12/2446 |
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