Prediction and Analysis of Saltwater Intrusion in Pearl River Estuary Based on Machine Learning
The acceleration of urbanization has induced a sharp increase in urban water consumption, so the saltwater intrusion has stronger influences on domestic, industrial, and agricultural water use in estuarine areas. To enhance the water supply security of coastal cities, it is necessary to analyze and...
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| Format: | Article |
| Language: | zho |
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Editorial Office of Pearl River
2025-01-01
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| Series: | Renmin Zhujiang |
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| Online Access: | http://www.renminzhujiang.cn/thesisDetails?columnId=80806324&Fpath=home&index=0 |
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| _version_ | 1832595453168844800 |
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| author | DU Boheng ZHANG Jingwen KANG Zheng CHEN Yifan HUANG Hanliang LIN Kairong XIAO Mingzhong |
| author_facet | DU Boheng ZHANG Jingwen KANG Zheng CHEN Yifan HUANG Hanliang LIN Kairong XIAO Mingzhong |
| author_sort | DU Boheng |
| collection | DOAJ |
| description | The acceleration of urbanization has induced a sharp increase in urban water consumption, so the saltwater intrusion has stronger influences on domestic, industrial, and agricultural water use in estuarine areas. To enhance the water supply security of coastal cities, it is necessary to analyze and predict saltwater intrusion. This study aims to further investigate the influence of various factors, including estuary tide level, wind direction and speed, and upstream water flow, on the saltwater intrusion (chlorinity in the estuary) in the Pearl River estuary, providing scientific support for improving water supply security in coastal cities. The study determines the lag time of different influencing factors on saltwater intrusion through correlation coefficients and constructs prediction models for the chloride content at the estuaries of the Guangchang and Pinggang water pumping stations based on various machine learning methods to analyze the saltwater intrusion in the Modaomen waterway of the Pearl River estuary. The established models show a good performance in predicting salinity. According to the analysis of the importance of influencing factors, it is found that upstream water flow has the greatest influence on saltwater intrusion, followed by estuary tide level and wind direction and speed. |
| format | Article |
| id | doaj-art-24437fbc300c47cea03699a0930444b8 |
| institution | Kabale University |
| issn | 1001-9235 |
| language | zho |
| publishDate | 2025-01-01 |
| publisher | Editorial Office of Pearl River |
| record_format | Article |
| series | Renmin Zhujiang |
| spelling | doaj-art-24437fbc300c47cea03699a0930444b82025-01-18T19:00:22ZzhoEditorial Office of Pearl RiverRenmin Zhujiang1001-92352025-01-0111180806324Prediction and Analysis of Saltwater Intrusion in Pearl River Estuary Based on Machine LearningDU BohengZHANG JingwenKANG ZhengCHEN YifanHUANG HanliangLIN KairongXIAO MingzhongThe acceleration of urbanization has induced a sharp increase in urban water consumption, so the saltwater intrusion has stronger influences on domestic, industrial, and agricultural water use in estuarine areas. To enhance the water supply security of coastal cities, it is necessary to analyze and predict saltwater intrusion. This study aims to further investigate the influence of various factors, including estuary tide level, wind direction and speed, and upstream water flow, on the saltwater intrusion (chlorinity in the estuary) in the Pearl River estuary, providing scientific support for improving water supply security in coastal cities. The study determines the lag time of different influencing factors on saltwater intrusion through correlation coefficients and constructs prediction models for the chloride content at the estuaries of the Guangchang and Pinggang water pumping stations based on various machine learning methods to analyze the saltwater intrusion in the Modaomen waterway of the Pearl River estuary. The established models show a good performance in predicting salinity. According to the analysis of the importance of influencing factors, it is found that upstream water flow has the greatest influence on saltwater intrusion, followed by estuary tide level and wind direction and speed.http://www.renminzhujiang.cn/thesisDetails?columnId=80806324&Fpath=home&index=0saltwater intrusionPearl River Estuarymachine learning |
| spellingShingle | DU Boheng ZHANG Jingwen KANG Zheng CHEN Yifan HUANG Hanliang LIN Kairong XIAO Mingzhong Prediction and Analysis of Saltwater Intrusion in Pearl River Estuary Based on Machine Learning Renmin Zhujiang saltwater intrusion Pearl River Estuary machine learning |
| title | Prediction and Analysis of Saltwater Intrusion in Pearl River Estuary Based on Machine Learning |
| title_full | Prediction and Analysis of Saltwater Intrusion in Pearl River Estuary Based on Machine Learning |
| title_fullStr | Prediction and Analysis of Saltwater Intrusion in Pearl River Estuary Based on Machine Learning |
| title_full_unstemmed | Prediction and Analysis of Saltwater Intrusion in Pearl River Estuary Based on Machine Learning |
| title_short | Prediction and Analysis of Saltwater Intrusion in Pearl River Estuary Based on Machine Learning |
| title_sort | prediction and analysis of saltwater intrusion in pearl river estuary based on machine learning |
| topic | saltwater intrusion Pearl River Estuary machine learning |
| url | http://www.renminzhujiang.cn/thesisDetails?columnId=80806324&Fpath=home&index=0 |
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