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Early warning of meteorological geohazard in the Loess Plateau: a study in Huangling County of Shaanxi Province in China
- 作者:Yuxiang Cheng (1)
Aidi Huo (2) (3) Jun Zhang (1) Yudong Lu (2)
1. School of Geology Engineering and Geomatics ; Chang鈥檃n University ; Xi鈥檃n ; 710054 ; People鈥檚 Republic of China 2. School of Environmental Science and Engineering ; Chang鈥檃n University ; Xi鈥檃n ; 710054 ; People鈥檚 Republic of China 3. Key Laboratory of Environmental Protection and Pollution and Remediation of Water and Soil of Shaanxi Province ; Xi鈥檃n ; 710054 ; People鈥檚 Republic of China
- 关键词:Geohazards ; Huangling County ; Law of development ; Meteorological early warning ; Shaanxi Province
- 刊名:Environmental Earth Sciences
- 出版年:2015
- 出版时间:February 2015
- 年:2015
- 卷:73
- 期:3
- 页码:1057-1065
- 全文大小:983 KB
- 参考文献:1. Ai-di H, Hui-xia Z, Li Z, Hua L, Ming H (2012) A sampled method of classification of susceptibility evaluation unit for geological hazards based on GIS. Appl Math Inf Sci 6:19鈥?3
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- 刊物类别:Earth and Environmental Science
- 刊物主题:None Assigned
- 出版者:Springer Berlin Heidelberg
- ISSN:1866-6299
文摘
Geohazards have become an increasingly serious problem in the Loess Plateau of China, affecting both the national economy and the livelihood of the local population. Using detailed field surveys of geohazards over many years, in conjunction with meteorological information, this paper analyzes the relationships between the characteristics of the spatial and temporal distributions of geohazards and rainfall within the study area of Huangling County in Shaanxi Province, China. A very close relationship was found between the occurrence of geohazards and rainfall distribution, indicating that rainfall is the principal driving force behind landslides, collapses, debris flows and other geohazards. Based on the analysis of the law of development of geohazards within the study area, in combination with rainfall data from the time of occurrence of local geohazards, a threshold for the early warning of meteorologically related geohazards is determined. A geohazard weather forecasting model is established based on rainfall observations and forecasts and it is applied to the study area. The results show that the model performs reasonably well and that it is beneficial to local government departments with regard to the implementation of appropriate preventive measures.
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