Hydraulic simulation of an urban river affected by treated effluent based on signal processing theory and physically based models
Study region: The Tonghui River–a treated effluent-affected urban river located in Beijing, China. Study focus: Inspired by the signal processing theory, this study presented a simulation scheme for the treated effluent-affected river based on hydrologic monitoring, pattern recognization, pattern ex...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2023-10-01
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| Series: | Journal of Hydrology: Regional Studies |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2214581823002057 |
| _version_ | 1827821090292891648 |
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| author | Qianyang Wang Jingshan Yu Yuexin Zheng Xiaolei Yao Qimeng Yue Shugao Xu |
| author_facet | Qianyang Wang Jingshan Yu Yuexin Zheng Xiaolei Yao Qimeng Yue Shugao Xu |
| author_sort | Qianyang Wang |
| collection | DOAJ |
| description | Study region: The Tonghui River–a treated effluent-affected urban river located in Beijing, China. Study focus: Inspired by the signal processing theory, this study presented a simulation scheme for the treated effluent-affected river based on hydrologic monitoring, pattern recognization, pattern extraction, and hydrologic/hydraulic modelling. It aimed to precisely depict the river flow patterns when detailed wastewater treatment plant effluent data was absent and to fill in the gap of the application of signal-based hydrological time series processing methods in physically based hydraulic simulation. New hydrological insights for the region: Diurnal and semidiurnal patterns caused by the wastewater treatment plant (WWTP) effluent were recognized from the water level series using the continuous wavelet transform. Due to their small amplitudes, they were masked during flood events but dominated the flow regime in dry seasons. Based on the discrete wavelet decomposition and Fourier series fitting, these periodical patterns were extracted and fitted. With a preliminarily calibrated hydraulic model and a linear signal amplifier, a simulated WWTP effluent was retrieved. Dry seasons simulation utilizing the simulated effluent obtained significantly better performance than using the average effluent data from the aspects of conventional evaluation metrics, cross-wavelet transform, and wavelet coherence. |
| first_indexed | 2024-03-12T01:38:26Z |
| format | Article |
| id | doaj.art-b70f3b83265f4aa2b685b58fcae59894 |
| institution | Directory Open Access Journal |
| issn | 2214-5818 |
| language | English |
| last_indexed | 2024-03-12T01:38:26Z |
| publishDate | 2023-10-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Journal of Hydrology: Regional Studies |
| spelling | doaj.art-b70f3b83265f4aa2b685b58fcae598942023-09-11T04:17:16ZengElsevierJournal of Hydrology: Regional Studies2214-58182023-10-0149101518Hydraulic simulation of an urban river affected by treated effluent based on signal processing theory and physically based modelsQianyang Wang0Jingshan Yu1Yuexin Zheng2Xiaolei Yao3Qimeng Yue4Shugao Xu5College of Water Sciences, Beijing Normal University, 100875 Beijing, ChinaCorresponding author.; College of Water Sciences, Beijing Normal University, 100875 Beijing, ChinaCollege of Water Sciences, Beijing Normal University, 100875 Beijing, ChinaCollege of Water Sciences, Beijing Normal University, 100875 Beijing, ChinaCollege of Water Sciences, Beijing Normal University, 100875 Beijing, ChinaCollege of Water Sciences, Beijing Normal University, 100875 Beijing, ChinaStudy region: The Tonghui River–a treated effluent-affected urban river located in Beijing, China. Study focus: Inspired by the signal processing theory, this study presented a simulation scheme for the treated effluent-affected river based on hydrologic monitoring, pattern recognization, pattern extraction, and hydrologic/hydraulic modelling. It aimed to precisely depict the river flow patterns when detailed wastewater treatment plant effluent data was absent and to fill in the gap of the application of signal-based hydrological time series processing methods in physically based hydraulic simulation. New hydrological insights for the region: Diurnal and semidiurnal patterns caused by the wastewater treatment plant (WWTP) effluent were recognized from the water level series using the continuous wavelet transform. Due to their small amplitudes, they were masked during flood events but dominated the flow regime in dry seasons. Based on the discrete wavelet decomposition and Fourier series fitting, these periodical patterns were extracted and fitted. With a preliminarily calibrated hydraulic model and a linear signal amplifier, a simulated WWTP effluent was retrieved. Dry seasons simulation utilizing the simulated effluent obtained significantly better performance than using the average effluent data from the aspects of conventional evaluation metrics, cross-wavelet transform, and wavelet coherence.http://www.sciencedirect.com/science/article/pii/S2214581823002057Wastewater treatment plantEffluentDiurnal patternHydrologic simulationSignal processing |
| spellingShingle | Qianyang Wang Jingshan Yu Yuexin Zheng Xiaolei Yao Qimeng Yue Shugao Xu Hydraulic simulation of an urban river affected by treated effluent based on signal processing theory and physically based models Journal of Hydrology: Regional Studies Wastewater treatment plant Effluent Diurnal pattern Hydrologic simulation Signal processing |
| title | Hydraulic simulation of an urban river affected by treated effluent based on signal processing theory and physically based models |
| title_full | Hydraulic simulation of an urban river affected by treated effluent based on signal processing theory and physically based models |
| title_fullStr | Hydraulic simulation of an urban river affected by treated effluent based on signal processing theory and physically based models |
| title_full_unstemmed | Hydraulic simulation of an urban river affected by treated effluent based on signal processing theory and physically based models |
| title_short | Hydraulic simulation of an urban river affected by treated effluent based on signal processing theory and physically based models |
| title_sort | hydraulic simulation of an urban river affected by treated effluent based on signal processing theory and physically based models |
| topic | Wastewater treatment plant Effluent Diurnal pattern Hydrologic simulation Signal processing |
| url | http://www.sciencedirect.com/science/article/pii/S2214581823002057 |
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