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基于干旱灾害风险综合评估指数的西藏主要农区青稞干旱时空格局
引用本文:史继清,杨霏云,边多,周刊社,甘臣龙.基于干旱灾害风险综合评估指数的西藏主要农区青稞干旱时空格局[J].中国农学通报,2021,37(2):80-87.
作者姓名:史继清  杨霏云  边多  周刊社  甘臣龙
作者单位:1.西藏自治区气候中心,拉萨 850000;2.中国气象局气象干部培训学院,北京 100081;3.墨竹工卡县气象局,拉萨850000
基金项目:西藏自治区重点科技计划“藏北典型生态区生态环境遥感监测评估”(XZ201703-GA-01);中国气象局气候变化专项“气候变化对西藏春青稞产量的影响研究”(CSF201935);西藏特色作物气候适宜性分析及区划(CCSF202038);西藏自治区自然科学基金“基于MCI指数的西藏主要农作物保险费率厘定的应用研究”
摘    要:为研究西藏主要农区青稞的干旱时空变化特征,笔者从干旱灾害的致灾因子危险性、承灾体易损性、灾损脆弱性、防灾减灾能力等4个风险因子考虑,采用专家打分法和熵权法确定各因素权重,构建干旱灾害风险综合评估模型,并进行干旱灾害时空格局分析。结果表明:干旱灾害综合风险整体呈现中间低、两边高的态势,高风险区分布比较分散,次高风险区多集中在研究区的边缘地带,中等风险区以左斜H型分布在拉萨、山南、林芝市部分区域,而次低和低风险区零星分布在加查、索县、比如、林芝等站;且干旱灾害风险较高年份出现在1999、2005、2006、2007、2009、2010、2012、2014、2015年。西藏主要农区青稞各个干旱风险因子的分布具有明显的区域差别和一定的连片性,研究区和分区的干旱趋势随年份递增而加重。

关 键 词:青稞  干旱  风险综合评估指数  时空格局  熵权法  
收稿时间:2020-02-12

Temporal and Spatial Patterns of Barley in Tibet Major Agricultural Areas Based on the Comprehensive Assessment Index of Drought Disaster Risk
Shi Jiqing,Yang Feiyun,Bian Duo,Zhou Kanshe,Gan Chenlong.Temporal and Spatial Patterns of Barley in Tibet Major Agricultural Areas Based on the Comprehensive Assessment Index of Drought Disaster Risk[J].Chinese Agricultural Science Bulletin,2021,37(2):80-87.
Authors:Shi Jiqing  Yang Feiyun  Bian Duo  Zhou Kanshe  Gan Chenlong
Institution:1.Tibet Climate Center, Lhasa 850000;2.China Meteorological Administration Training Centre, Beijing 100081;3.Maizhokunggar Meteorological Bureau, Lhasa 850000
Abstract:To study the spatiotemporal changes of drought of barley in the main agricultural areas of Tibet, the authors took four risk factors, including the danger of drought disaster, the vulnerability of disaster victims, the vulnerability of disaster, and the ability to prevent and mitigate disaster, and adopted the expert score method and entropy weight method, to determine the weight of each factor to construct a comprehensive assessment model for drought risk and analyze the spatial and temporal pattern of drought disaster. The results showed that: the overall risk of drought disasters was generally low in the middle and high on both sides. The distribution of high-risk areas was relatively scattered. The sub-high-risk areas were mostly concentrated in the marginal zones of the study area. The middle-risk areas were distributed with left-sloping H-shape in parts of Lhasa, Shannan, and Linzhi, while the sub-low-risk and low-risk areas were scattered in Jiacha, Suoxian, and Linzhi stations; and the years with higher risk of drought disaster appeared in 1999, 2005, 2006, 2007, 2009, 2010, 2012, 2014, and 2015. The distribution of drought risk factors for barley in major agricultural areas in Tibet has obvious regional differences and a certain degree of continuity, and the drought trend in the study area and subdivision increases with each year.
Keywords:barley  drought  comprehensive risk assessment index  spatiotemporal pattern  entropy weight method  
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