Science & Technology Review
|
2017, 35(8): 81-87
• Articles •
Main meteorological disasters and risk assessment in Shanxi Province: Based on empirical analysis of rainstorm and flood disaster data
Full
WANG Wenjuan1, LI Liping1,2
Affiliations
1. College of Atmospheric Sciences; Nanjing University of Information Science And Technology, Nanjing 210044, China;
2. Collaborative Innovation Center for Meteorological Disaster Prediction and Evaluation, Nanjing University of Information Science and Technology, Nanjing 210044, China
Published: 2017-04-28
doi: 10.3981/j.issn.1000-7857.2017.08.010
Outline
From the perspective of empirical research based on the flood meteorological data fusion of Shanxi province, a flood disaster risk assessment model is established, based on the data at 109 meteorological stations in Shanxi Province, including the rainstorm and flood data in 1957-2008, a high degree of integration of the data of the economic development of Shanxi province and the geographic data, with considerations of the disaster factors and the four dimensions of the disaster body factors, the disaster prevention and reduction factors of Shanxi Province.The cities of Taiyuan, Datong, Yangquan, Shuozhou, Jinzhong and Linfen are chosen for empirical analysis, and the comprehensive evaluation of the flood disaster of six city disaster index is made. The research results can not only guide the practical work of Shanxi province in the storm flood forecasting and the disaster prevention and mitigation, but also serve as a unique analysis of the meteorological disasters based on a theoretical method.
rainstorm and flood disaster
/
risk index system
/
disaster risk assessment
/
risk area division of disaster
王文娟,李丽平.
山西省主要气象灾害特征及风险评估——基于暴雨洪涝灾害气象数据融合的实证视角.
科技导报,
2017
, 35
(8)
: 81
-87
.
DOI: 10.3981/j.issn.1000-7857.2017.08.010
WANG Wenjuan, LI Liping.
Main meteorological disasters and risk assessment in Shanxi Province: Based on empirical analysis of rainstorm and flood disaster data[J].
Science & Technology Review,
2017
, 35
(8)
: 81
-87
.
DOI: 10.3981/j.issn.1000-7857.2017.08.010
Year 2017 volume 35 Issue 8
PDF
549
132
Cite this Article
BibTeX
Article Info
doi: 10.3981/j.issn.1000-7857.2017.08.010
- Receive Date:2017-01-03
- Online Date:2017-05-08
- Published:2017-04-28