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Flood susceptibility mapping in Dingnan County (China) using adaptive neuro-fuzzy inference system with biogeography based optimization and imperialistic competitive algorithm
文献类型：期刊论文
| 作者 | Wang, Yi; Hong, Haoyuan; Chen, Wei; Li, Shaojun; Panahi, Mahdi; Khosravi, Khabat; Shirzadi, Ataollah; Shahabi, Himan; Panahi, Somayeh; Costache, Romulus |
| 刊名 | JOURNAL OF ENVIRONMENTAL MANAGEMENT
 |
| 出版日期 | 2019 |
| 卷号 | 247页码:712-729 |
| 关键词 | Flood susceptibility mapping Adaptive neuro-fuzzy inference system Metaheuristic methods Biogeography based optimization Imperialistic competitive algorithm |
| ISSN号 | 0301-4797 |
| DOI | 10.1016/j.jenvman.2019.06.102 |
| 英文摘要 | Flooding is one of the most significant environmental challenges and can easily cause fatal incidents and economic losses. Flood reduction is costly and time-consuming task; so it is necessary to accurately detect flood susceptible areas. This work presents an effective flood susceptibility mapping framework by involving an adaptive neuro-fuzzy inference system (ANFIS) with two metaheuristic methods of biogeography based optimization (BBO) and imperialistic competitive algorithm (ICA). A total of 13 flood influencing factors, including slope, altitude, aspect, curvature, topographic wetness index, stream power index, sediment transport index, distance to river, landuse, normalized difference vegetation index, lithology, rainfall and soil type, were used in the proposed framework for spatial modeling and Dingnan County in China was selected for the application of the proposed methods due to data availability. There are 115 flood occurrences in the study area which were randomly separated into training (70% of the total) and verification (30%) sets. To perform the proposed framework, the step-wise weight assessment ratio analysis algorithm is first used to evaluate the correlation between influencing factors and floods. Then, two ensemble methods of ANFIS-BBO and ANFIS-ICA are constructed for spatial prediction and producing flood susceptibility maps. Finally, these resultant maps are assessed in terms of several statistical and error measures, including receiver operating characteristic (ROC) curve and area under the ROC curve (AUC), root-mean-square error (RMSE). The experimental results demonstrated that the two ensemble methods were more effective than ANFIS in the study area. For instance, the predictive AUC values of 0.8407, 0.9045 and 0.9044 were achieved by the methods of ANFIS, ANFIS-BBO and ANFIS-ICA, respectively. Moreover, the RMSE values for ANFIS, ANFIS-BBO and ANFIS-ICA using the verification set were 0.3100, 0.2730 and 0.2700, respectively. In addition, as regards ANFIS-BBO and ANFIS-ICA, a total areas of 39.30% and 35.39% were classified as highly susceptible to flooding. Therefore, the proposed ensemble framework can be used for flood susceptibility mapping in other sites with similar geo-environmental characteristics for taking measures to manage and prevent flood damages. |
| WOS研究方向 | Environmental Sciences & Ecology |
| 语种 | 英语 |
| WOS记录号 | WOS:000483635000072 |
| 源URL | [http://119.78.100.198/handle/2S6PX9GI/14879]  |
| 专题 | 岩土力学所知识全产出_期刊论文 国家重点实验室知识产出_期刊论文 |
| 作者单位 | 1.China Univ Geosci, Inst Geophys & Geomat, Wuhan 430074, Hubei, Peoples R China; 2.Nanjing Normal Univ, Key Lab Virtual Geog Environm, Nanjing 210023, Jiangsu, Peoples R China; 3.State Key Lab Cultivat Base Geog Environm Evolut, Nanjing 210023, Jiangsu, Peoples R China; 4.Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing 210023, Jiangsu, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wang, Yi,Hong, Haoyuan,Chen, Wei,et al. Flood susceptibility mapping in Dingnan County (China) using adaptive neuro-fuzzy inference system with biogeography based optimization and imperialistic competitive algorithm[J]. JOURNAL OF ENVIRONMENTAL MANAGEMENT,2019,247:712-729. |
| APA | Wang, Yi.,Hong, Haoyuan.,Chen, Wei.,Li, Shaojun.,Panahi, Mahdi.,...&Costache, Romulus.(2019).Flood susceptibility mapping in Dingnan County (China) using adaptive neuro-fuzzy inference system with biogeography based optimization and imperialistic competitive algorithm.JOURNAL OF ENVIRONMENTAL MANAGEMENT,247,712-729. |
| MLA | Wang, Yi,et al."Flood susceptibility mapping in Dingnan County (China) using adaptive neuro-fuzzy inference system with biogeography based optimization and imperialistic competitive algorithm".JOURNAL OF ENVIRONMENTAL MANAGEMENT 247(2019):712-729. |
入库方式： OAI收割
来源：武汉岩土力学研究所
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