摘要
基于灾害系统理论对承灾体进行分类,对于有效防灾减灾具有重要意义。依据北京师范大学民政部/教育部减灾与应急管理研究院的综合风险搜索引擎为灾情数据来源,从产业结构、灾害链和土地利用3个角度对中国南方低温雨雪冰冻灾害的承灾体进行分类,并以郴州市交通承灾体为例,进行了脆弱性评价。研究结果表明:第一产业承灾体种类最多、面积最大,第二产业承灾体集中在电力行业,第三产业承灾体集中在交通运输业;"结构破坏"、"断电"和"交通阻塞"在灾害链节点处的承灾体脆弱性强;土地利用中大面积的林地和园地,线网状的交通网、电网和通讯网用地的脆弱性强;郴州市交通承灾体脆弱性存在着明显的地域差异,京珠高速公路郴州段脆弱性为全市最高。本研究可为灾情评估和减灾工程布局提供科学依据。
Classification of disaster-affected bodies based on the disaster system theory is of great significance for disaster prevention and reduction. This paper proposes three classifications of disaster-affected bodies in low-temperature freezing and snow disaster occurred in South China from three aspects of industrial structures, disaster chain and land-use types, lased on the search engine of integrated risk developed by the Institute of Disaster Reduction and Emergency Management with Beijing Normal University, supported by Ministry of Civil Affairs ＆ Ministry of Education. In addition, the paper sets up the vulnerability assessment index system which focuses on traffic system and applies it to Chenzhou City. The results indicate that（1） Disaster-affected bodies in the primary industry are featured by the largest types and areas. Disaster-affected bodies in the second industry concentrate on the power indus- try, while the ones in the third industry concentrate on the transportation industry. （2） It is more vulnerable of disaster-affected bodies on the disaster chain nodes, such as structural damage, power off and traffic jam. （3）It is more vulnerable for large-area woodland and garden, traffic land, power grid and communication network land. （4） Obvious regional differences exist in the vulnerability of snow disaster-affected bodies, in which Chenzhou section of the Beijing-Zhuhai expressway is the most serious. This study can provide a scientific basis for disaster assessment and the layout of disaster reduction projects.
出处
《贵州师范大学学报（自然科学版）》
CAS
2008年第4期14-21,共8页
Journal of Guizhou Normal University：Natural Sciences
基金
国家科技支撑计划项目(2006BAD20B02)
关键词
雪灾
承灾体分类
产业结构
灾害链
土地利用
交通
脆弱性
snow disaster
classifications of disaster-affected bodies
industrial structure
disasterchain
land use
traffic
vulnerability
