Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1111/jfr3.12638 |
Research and application of an intelligent networking model for flood forecasting in the arid mountainous basins | |
Yuan, Ximin; Zhang, Xingyuan; Tian, Fuchang | |
通讯作者 | Zhang, XY |
来源期刊 | JOURNAL OF FLOOD RISK MANAGEMENT |
ISSN | 1753-318X |
出版年 | 2020 |
卷号 | 13期号:3 |
英文摘要 | Storm floods occur frequently and have complex characteristics in arid mountainous areas, which for a long time has been a weak link in flood forecasting. The application of an artificial intelligent model and physically-based hydrological model has some limitations on flood forecasting in arid mountainous areas with scarce data. In this article, the ANN model and Muskingum-Cunge method are combined to propose an intelligent networking model for flood forecasting (FFIN model) in arid mountainous areas with scarce data, which BR-ANN model is used to forecast the flood in the catchment sub-basin with runoff data, while the General Regression Neural Network model is used to carry out flood parallel forecast in the catchment sub-basin without runoff data. The Muskingum-Cunge method is used to connect the sub-basins and form a confluence network, so as to simulate the flood routing process in river. The verification and comparison results in study area show that the FFIN model has a superior overall forecasting ability. For the forecasting period, the evaluation index Kling-Gupta efficiency is 0.88, Nash efficiency coefficient is 0.982 and forecasting deviation of flood peak flow is 7.15%. The FFIN model can be effectively applied to flood forecasting in arid mountainous areas with scarce runoff data. |
英文关键词 | arid mountainous basins flood forecasting forecast factors intelligent networking |
类型 | Article |
语种 | 英语 |
开放获取类型 | gold |
收录类别 | SCI-E |
WOS记录号 | WOS:000545078300001 |
WOS关键词 | ARTIFICIAL NEURAL-NETWORK ; KAIDU RIVER-BASIN ; RUNOFF ; REGRESSION ; SIMULATION ; BEHAVIOR ; REGION |
WOS类目 | Environmental Sciences ; Water Resources |
WOS研究方向 | Environmental Sciences & Ecology ; Water Resources |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/324918 |
作者单位 | [Yuan, Ximin; Zhang, Xingyuan; Tian, Fuchang] Tianjin Univ, State Key Lab Hydraul Engn Simulat & Safety, 135 Yaguan Rd, Tianjin, Peoples R China |
推荐引用方式 GB/T 7714 | Yuan, Ximin,Zhang, Xingyuan,Tian, Fuchang. Research and application of an intelligent networking model for flood forecasting in the arid mountainous basins[J],2020,13(3). |
APA | Yuan, Ximin,Zhang, Xingyuan,&Tian, Fuchang.(2020).Research and application of an intelligent networking model for flood forecasting in the arid mountainous basins.JOURNAL OF FLOOD RISK MANAGEMENT,13(3). |
MLA | Yuan, Ximin,et al."Research and application of an intelligent networking model for flood forecasting in the arid mountainous basins".JOURNAL OF FLOOD RISK MANAGEMENT 13.3(2020). |
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