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 | |
| Corresponding Author | Zhang, XY |
| Journal | JOURNAL OF FLOOD RISK MANAGEMENT
 |
| ISSN | 1753-318X |
| Year Published | 2020 |
| Volume | 13Issue:3 |
| Abstract in English | 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. |
| Keyword in English | arid mountainous basins flood forecasting forecast factors intelligent networking |
| Subtype | Article |
| Language | 英语 |
| OA Type | gold |
| Indexed By | SCI-E |
| WOS ID | WOS:000545078300001 |
| WOS Keyword | ARTIFICIAL NEURAL-NETWORK ; KAIDU RIVER-BASIN ; RUNOFF ; REGRESSION ; SIMULATION ; BEHAVIOR ; REGION |
| WOS Subject | Environmental Sciences ; Water Resources |
| WOS Research Area | Environmental Sciences & Ecology ; Water Resources |
| Document Type | 期刊论文 |
| Identifier | http://119.78.100.177/qdio/handle/2XILL650/324918 |
| Affiliation | [Yuan, Ximin; Zhang, Xingyuan; Tian, Fuchang] Tianjin Univ, State Key Lab Hydraul Engn Simulat & Safety, 135 Yaguan Rd, Tianjin, Peoples R China |
| Recommended Citation 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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