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作 者:谢东志 胥欣诚 XIE Dongzhi;XU Xincheng(Yuexi county meteorological bureau,Yuexi 616650,Sichuan,China;Chengdu University of information Technology,Chengdu 610225,Sichuan,China)
机构地区:[1]越西县气象局,四川越西616650 [2]成都信息工程大学,四川成都610225
出 处:《贵州林业科技》2025年第1期29-33,共5页Guizhou Forestry Science and Technology
基 金:凉山州气象局2022年科技项目(LSZQXJ2022003)。
摘 要:为更好地了解凉山州北部雷击森林火灾的风险分布特点,针对性地预防雷击森林火灾,降低森林草原火灾风险,本文采用凉山州北部4个县气象局2005—2020年的逐日雷电定位仪数据资料以及1971—2020年的逐日气象要素序列,选取雷击点密度、地闪强度、高程、地形起伏、土壤电导率和森林植被覆盖度6个指标,通过AHP方法构建森林火险指数,并使用ArcGIS 10.2软件对其进行区划。结果表明:凉山州北部总体的雷击森林火险等级较高。其中,中风险区面积占比42%;低风险区集中在甘洛县附近,面积占比28.9%;高风险区呈零散分布,面积占比29.1%。Lightning-caused fire has posed a serious threat to the forest and grassland in the north of Liangshan Prefecture,Sichuan Province,China.This study aims to clarify the risk distribution of the lightning-caused fire for the target prevention and ecological security using GIS.Four counties were selected from the north of Liangshan Prefecture,including Ganluo,Mianning,Yuexi and Xide County.The daily data was collected from the lightning locator in these meteorological bureaus between 2005 and 2020.The daily meteorological element sequence was also obtained in the study areas from 1971 to 2020.Six indicators were also selected,such as the lightning point density,ground lightning intensity,elevation,terrain fluctuation,soil conductivity and forest vegetation coverage.A risk index of forest fire was then established using analytic hierarchy process(AHP).A risk mapping was also performed on lightning-caused forest fires using ArcGIS 10.2 software.The results showed that the high-level risk of the overall lightning-caused fire was found in the north of Liangshan Prefecture.Among them,the area of the middle-level risk was accounted for 42%of the total.The low-level risk area was mainly concentrated near Ganluo County,accounting for 28.9%of the total.The scattered pattern was observed in the high-level risk area,accounting for 29.1%of the total.
分 类 号:S762.2[农业科学—森林保护学]
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