Using a BP Neural Network for Rapid Assessment of Populations with Difficulties Accessing Drinking Water Because of Drought
文献类型：期刊论文
| 作者 | Jia, Huicong1; Pan, Donghua1; Yuan, Yi1; Zhang, Wanchang1 |
| 刊名 | HUMAN AND ECOLOGICAL RISK ASSESSMENT
 |
| 出版日期 | 2015 |
| 卷号 | 21期号:1页码:16938-16962 |
| 关键词 | geographical factor backpropagation (BP) neural network populations with difficulties accessing drinking water because of drought rapid assessment 2013 Guizhou Extreme Drought of China |
| 通讯作者 | Pan, DH (reprint author), Minist Civil Affairs, Natl Disaster Reduct Ctr China, 6 Guangbaidong Rd, Beijing 100124, Peoples R China. |
| 英文摘要 | Accurately predicting the populations with difficulties accessing drinking water because of drought and taking appropriate mitigation measures can minimize economic loss and personal injury. Taking the 2013 Guizhou extreme summer drought as an example, on the basis of collecting meteorological, basic geographic information, socioeconomic data, and disaster effect data of the study area, a rapid assessment model based on a backpropagation (BP) neural network was constructed. Six factors were chosen for the input of the network: the average monthly precipitation, Digital Elevation Model (DEM), river density, population density, road density, and gross domestic product (GDP). The population affected by drought was the model's output. Using samples from 50 drought-affected counties in Guizhou Province for network training, the model's parameters were optimized. Using the trained model, the populations in need were predicted using the other 74 drought-affected counties. The accuracy of the prediction model, represented by the coefficient of determination (R-2) and the normalized root mean square error (N-RMSE), yielded 0.7736 for R-2 and 0.0070 for N-RMSE. The method may provide an effective reference for rapid assessment of the population in need and disaster effect verification. |
| 研究领域[WOS] | Biodiversity Conservation ; Environmental Sciences |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000342065600006 |
| 源URL | [http://ir.ceode.ac.cn/handle/183411/38342]  |
| 专题 | 遥感与数字地球研究所_SCI/EI期刊论文_期刊论文 |
| 作者单位 | 1.[Jia, Huicong 2.Zhang, Wanchang] Chinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing, Peoples R China 3.[Pan, Donghua 4.Yuan, Yi] Minist Civil Affairs Peoples Republ China, Natl Disaster Reduct Ctr China, Beijing, Peoples R China |
| 推荐引用方式 GB/T 7714 | Jia, Huicong,Pan, Donghua,Yuan, Yi,et al. Using a BP Neural Network for Rapid Assessment of Populations with Difficulties Accessing Drinking Water Because of Drought[J]. HUMAN AND ECOLOGICAL RISK ASSESSMENT,2015,21(1):16938-16962. |
| APA | Jia, Huicong,Pan, Donghua,Yuan, Yi,&Zhang, Wanchang.(2015).Using a BP Neural Network for Rapid Assessment of Populations with Difficulties Accessing Drinking Water Because of Drought.HUMAN AND ECOLOGICAL RISK ASSESSMENT,21(1),16938-16962. |
| MLA | Jia, Huicong,et al."Using a BP Neural Network for Rapid Assessment of Populations with Difficulties Accessing Drinking Water Because of Drought".HUMAN AND ECOLOGICAL RISK ASSESSMENT 21.1(2015):16938-16962. |
入库方式： OAI收割
来源：遥感与数字地球研究所
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