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廊坊市雷电灾害易损性分析、评估及易损度区划 被引量:21

Vulnerability Analysis,Evaluation and Vulnerability Division of Lightning Disaster in Langfang of Hebei Province
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摘要 利用1968~2007年河北省廊坊市9个地面气象观测站的雷暴资料及1998~2007年廊坊市雷电灾情统计数据,结合其区域经济状况和人口密度,确定用雷暴日数(M)、雷电灾害频度(R)、经济(GDP)易损模数(E)、经济损失模数(E’)、生命易损模数(L)、生命损伤模数(L’)作为廊坊市雷电灾害易损性评估指标。计算出廊坊市各县(市、区)6个雷电灾害易损性评估指标后分等级进行综合评估与分析,得出各县市区的易损度,并按5级分区法对廊坊市雷电灾害易损度进行区划。结果表明:廊坊市开发区为极高易损区,全市无低易损区和极低易损区。 According to the date of thunderstorm -day from1968 to 2007 and lightning disaster statistics data from 1998 to 2007 in Langfang, combined with its economic status and population density, vulnerability analysis, evaluation and vulnerability division of lightning disaster are made. Four indices are selected to evaluate the vulnerability of lightning disaster in Langfang, including annual mean thunderstorm days (M), lightning disaster frequency (R), economic vulnerability module( D), economic loss modulu( D), vital vulnerability module(L) and life and injury modulus (L'). Based on them, the vulnerability assessment structure of thunderstorm disasters in each counties of Langfang are given. Then, the vulnerability assessment indices of thunderstorm disasters are classified as five grades with given values. The comprehensives vulnerability assessment indices of these nine counties are also graded as corresponding five degrees. Finally, vulnerability division of the lighting disaster is obtained based on the vulnerability degree values of the nine counties in Langfang. The result shows that Kaifaqu and Guangyang district belong to the maximal damageable area, Xianghe county, Bazhou city, Sanhe city, Anci disrict and Gu' an county belong to the high damageable area. The rest counties belong to the medium damageable area. Scientific basis might be provided for the planning of regional prevention and reduction of lightning disaster in Langfang.
出处 《干旱气象》 2009年第4期402-409,共8页 Journal of Arid Meteorology
基金 国家自然科学基金项目(40875025 40875030 40775033 40405009)资助
关键词 雷电灾害 易损性 评估指标 易损度区划 lightning disaster vulnerability evaluation index vulnerability division
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