Application of WNN model for Flood Forecasting in Nanjing Section of Chuhe River Basin
In the small watershed of Nanjing section of the Chuhe River Basin,there is a flood intrusion in the upper reaches,and a river tide rising in the lower reaches.Generally,the accuracy of flood forecasting is low.The neural network is widely used in the field of flood forecasting,so the BP neural netw...
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Editorial Office of Pearl River
2021-01-01
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Series: | Renmin Zhujiang |
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Online Access: | http://www.renminzhujiang.cn/thesisDetails#10.3969/j.issn.1001-9235.2021.01.007 |
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author | ZHU Yongjun ZHAN Zhongyu |
author_facet | ZHU Yongjun ZHAN Zhongyu |
author_sort | ZHU Yongjun |
collection | DOAJ |
description | In the small watershed of Nanjing section of the Chuhe River Basin,there is a flood intrusion in the upper reaches,and a river tide rising in the lower reaches.Generally,the accuracy of flood forecasting is low.The neural network is widely used in the field of flood forecasting,so the BP neural network (BPNN) model and the wavelet neural network (WNN) model are used to simulate the flood forecasting of Nanjing section of the Chuhe River Basin.From the simulation indicators of the WNN model,it can be seen that the relative error of the total flow and the peak flow are less than 10%,the relative error of the peak time is less than 2 h,the root mean square error is less than 100,and the correlation coefficient is greater than 0.90,which are better than those of the BPNN model.The results show that the WNN model has higher simulation accuracy and faster convergence speed than the BPNN model,and can provide reference for subsequent flood forecasting in Nanjing section of Chuhe River Basin. |
format | Article |
id | doaj-art-f146d2233bf742d2bfcd4a7177b45ae5 |
institution | Kabale University |
issn | 1001-9235 |
language | zho |
publishDate | 2021-01-01 |
publisher | Editorial Office of Pearl River |
record_format | Article |
series | Renmin Zhujiang |
spelling | doaj-art-f146d2233bf742d2bfcd4a7177b45ae52025-01-15T02:29:12ZzhoEditorial Office of Pearl RiverRenmin Zhujiang1001-92352021-01-014247647964Application of WNN model for Flood Forecasting in Nanjing Section of Chuhe River BasinZHU YongjunZHAN ZhongyuIn the small watershed of Nanjing section of the Chuhe River Basin,there is a flood intrusion in the upper reaches,and a river tide rising in the lower reaches.Generally,the accuracy of flood forecasting is low.The neural network is widely used in the field of flood forecasting,so the BP neural network (BPNN) model and the wavelet neural network (WNN) model are used to simulate the flood forecasting of Nanjing section of the Chuhe River Basin.From the simulation indicators of the WNN model,it can be seen that the relative error of the total flow and the peak flow are less than 10%,the relative error of the peak time is less than 2 h,the root mean square error is less than 100,and the correlation coefficient is greater than 0.90,which are better than those of the BPNN model.The results show that the WNN model has higher simulation accuracy and faster convergence speed than the BPNN model,and can provide reference for subsequent flood forecasting in Nanjing section of Chuhe River Basin.http://www.renminzhujiang.cn/thesisDetails#10.3969/j.issn.1001-9235.2021.01.007wavelet neural networkflood forecastingChuhe River BasinNanjing city |
spellingShingle | ZHU Yongjun ZHAN Zhongyu Application of WNN model for Flood Forecasting in Nanjing Section of Chuhe River Basin Renmin Zhujiang wavelet neural network flood forecasting Chuhe River Basin Nanjing city |
title | Application of WNN model for Flood Forecasting in Nanjing Section of Chuhe River Basin |
title_full | Application of WNN model for Flood Forecasting in Nanjing Section of Chuhe River Basin |
title_fullStr | Application of WNN model for Flood Forecasting in Nanjing Section of Chuhe River Basin |
title_full_unstemmed | Application of WNN model for Flood Forecasting in Nanjing Section of Chuhe River Basin |
title_short | Application of WNN model for Flood Forecasting in Nanjing Section of Chuhe River Basin |
title_sort | application of wnn model for flood forecasting in nanjing section of chuhe river basin |
topic | wavelet neural network flood forecasting Chuhe River Basin Nanjing city |
url | http://www.renminzhujiang.cn/thesisDetails#10.3969/j.issn.1001-9235.2021.01.007 |
work_keys_str_mv | AT zhuyongjun applicationofwnnmodelforfloodforecastinginnanjingsectionofchuheriverbasin AT zhanzhongyu applicationofwnnmodelforfloodforecastinginnanjingsectionofchuheriverbasin |