An approach to quality validation of large-scale data from the Chinese Flash Flood Survey and Evaluation (CFFSE)
文献类型：期刊论文
| 作者 | Yuan, Ximin1; Liu, Yesen1; Huang, Yaohuan2 ; Tian, Fuchang1
|
| 刊名 | NATURAL HAZARDS
 |
| 出版日期 | 2017-11-01 |
| 卷号 | 89期号:2页码:693-704 |
| 关键词 | Flash flood Survey and evaluation Data quality validation DM-Moran model Spatial data mining |
| ISSN号 | 0921-030X |
| DOI | 10.1007/s11069-017-2986-0 |
| 通讯作者 | Liu, Yesen(ysliu@lreis.ac.cn) |
| 英文摘要 | Quality control of large-scale flash flood survey and evaluation data is vital and refers to various social and natural factors. In this study, we present a quality validation approach that uses a data model, Anselin Local Moran's I (DM-Moran), which is based on a model of the flash flood data and a spatial data mining algorithm. The approach of the DM-Moran model involves examining logical relationships and detecting anomalous survey units, which effectively integrates the advantages of certainty rules and checking for reasonableness. It resolves the inconsistencies in massive amounts of flash flood survey data that result from inconsistencies. We used the DM-Moran model to validate the quality of the data of the Chinese Flash Flood Survey and Evaluation (CFFSE) project. The kappa coefficients of the two steps of this approach were 0.95 and 0.99, which meet the requirements of the CFFSE project. We consider the DM-Moran model an effective approach to checking the quality of various other large-scale disaster datasets. |
| WOS关键词 | AGREEMENT ; KAPPA |
| 资助项目 | National Key R&D Program of China[2017YFC0405601] ; Fund for Key Research Area Innovation Groups of China Ministry of Science and Technology[2014RA4031] ; Science Fund for Creative Research Groups of the National Natural Science Foundation of China[51621092] ; Program of Introducing Talents of Discipline to Universities[B14012] |
| WOS研究方向 | Geology ; Meteorology & Atmospheric Sciences ; Water Resources |
| 语种 | 英语 |
| WOS记录号 | WOS:000412556000010 |
| 出版者 | SPRINGER |
| 资助机构 | National Key R&D Program of China ; Fund for Key Research Area Innovation Groups of China Ministry of Science and Technology ; Science Fund for Creative Research Groups of the National Natural Science Foundation of China ; Program of Introducing Talents of Discipline to Universities |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/62142]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Liu, Yesen |
| 作者单位 | 1.Tianjin Univ, State Key Lab Hydraul Engn Simulat & Safety, Tianjin 300072, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Yuan, Ximin,Liu, Yesen,Huang, Yaohuan,et al. An approach to quality validation of large-scale data from the Chinese Flash Flood Survey and Evaluation (CFFSE)[J]. NATURAL HAZARDS,2017,89(2):693-704. |
| APA | Yuan, Ximin,Liu, Yesen,Huang, Yaohuan,&Tian, Fuchang.(2017).An approach to quality validation of large-scale data from the Chinese Flash Flood Survey and Evaluation (CFFSE).NATURAL HAZARDS,89(2),693-704. |
| MLA | Yuan, Ximin,et al."An approach to quality validation of large-scale data from the Chinese Flash Flood Survey and Evaluation (CFFSE)".NATURAL HAZARDS 89.2(2017):693-704. |
入库方式： OAI收割
来源：地理科学与资源研究所
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