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中国农学通报 ›› 2016, Vol. 32 ›› Issue (20): 133-140.doi: 10.11924/j.issn.1000-6850.casb16040098

所属专题: 农业气象

• 资源 环境 生态 土壤 气象 • 上一篇    下一篇

基于GIS的山西省暴雪灾害风险区划研究

苗爱梅1,王洪霞1,逯张禹2   

  1. (1山西省气象台,太原 030006;2山西省农业科学院农业科技信息研究所,太原 030006)
  • 收稿日期:2016-04-15 修回日期:2016-06-27 接受日期:2016-05-23 出版日期:2016-07-15 发布日期:2016-07-15
  • 通讯作者: 苗爱梅
  • 基金资助:
    山西省科技攻关项目“基于GIS的极端气象灾害预警与评估集成系统”(20090311083),“山西省粮食安全气象保障预报服务系统”(20100311130-1);领军人才项目“军地监测资料在重大气象保障服务中的应用技术研究”(SXKLJTQ201510001)。

Risk Regionalization of Blizzard Disaster in Shanxi Province Based on GIS

Miao Aimei1, Wang Hongxia1, Lu Zhangyu2   

  1. (1Shanxi Meteorological Observatory, Taiyuan 030006; 2Institute of Agricultural Technology Information, Shanxi Academy of Agricultural Science, Taiyuan 030006)
  • Received:2016-04-15 Revised:2016-06-27 Accepted:2016-05-23 Online:2016-07-15 Published:2016-07-15

摘要: 为了降低暴雪灾害的影响,利用山西省108个县市1980—2012年的年均暴雪日数、≥5 cm的年均积雪深度日数、最大积雪深度等统计量资料,山西省DEM高程资料和地理信息资料,人口密度、人均GDP、耕地面积比、公路密度等社会经济资料,对山西省暴雪的气候特征进行研究,并从暴雪灾害致灾因子的危险性、孕灾环境的敏感性、承灾体的易损性和防灾减灾能力4个因子的风险区划入手,进行了山西省暴雪灾害综合风险区划。研究结果表明:近33年山西暴雪站次序列主要由4年和3年周期变化波动迭加;各月平均暴雪站次数是3月份最多,4月和11月次之;暴雪日数具有自西北向东南逐渐增多的空间分布特征;长治、晋城、阳泉、晋中等地市的暴雪灾害风险等级最高;运城、临汾南部、吕梁北部及大同西南部暴雪灾害的风险等级最低;对综合风险区划等级结果与历史灾情数据比对以及应用近10年山西省暴雪灾害进行检验,表明风险区划结果具有较高的合理性,可为山西暴雪灾害的防御和评估提供科学依据。

关键词: 烟台市, 烟台市, 县域经济, 客观评估, 指标体系

Abstract: In order to reduce the impact of blizzard disaster, the climatic characteristics of blizzard in Shanxi Province was studied. The comprehensive risk regionalization of blizzard disaster was conducted from the risk of hazard factors, the sensitivity of disaster inducing environment, the vulnerability of disaster bearing body and the ability of disaster prevention and mitigation with the data of the average annual day numbers of blizzard, the snow depth more than 5 cm, the maximum snow depth data from 1980 to 2012 of 108 counties and cities, and the DEM altimetric data, geographic information data and social economy data like population density, per capita GDP, cultivated land ratio and road density data. The results showed that: the sequence of blizzard stations in recent 33 years in Shanxi was mainly composed of two waves whose periods were four and three years respectively; the monthly average number of blizzard stations in March was the largest, followed by that in April and November; the blizzard days gradually increased from the northwest to the southeast, the risk level of blizzard disaster in Changzhi, Jincheng, Yangquan and Jinzhong were the highest, while that in Yuncheng, southern Linfen, northern Lvliang and southwest Datong were the lowest. Compared with the historical disaster data and the blizzard disasters in last ten years in Shanxi, the comprehensive risk regionalization results were quite reasonable, and this study could provide scientific basis for the prevention and evaluation of the blizzard disaster in Shanxi Province.