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中国农学通报 ›› 2020, Vol. 36 ›› Issue (16): 101-107.doi: 10.11924/j.issn.1000-6850.casb19020078

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的吉林省霜冻灾害风险评估及区划

邱译萱1(), 胡轶鑫1,*(), 张婷2, 王丽伟3, 李宇凡1   

  1. 1.吉林省气候中心/长白山气象与气候变化吉林省重点实验室,长春 130062
    2.吉林省中农阳光数据有限公司,长春 130062
    3.吉林省气象信息网络中心,长春 130062
  • 收稿日期:2019-02-28 修回日期:2019-05-18 出版日期:2020-06-05 发布日期:2020-05-20
  • 通讯作者: 胡轶鑫
  • 基金资助:
    国家级项目气象风险预警基本业务支撑能力建设(141009021000160008);吉林省青年基金项目“吉林省暴雨强度公式优化和雨型设计研究”(201605)

Frost Disaster in Jilin: The Risk Assessment and Regionalization Based on GIS

Qiu Yixuan1(), Hu Yixin1,*(), Zhang Ting2, Wang Liwei3, Li Yufan1   

  1. 1.Climate Center of Jilin/ Jilin Key Laboratory of Changbai Mountain Meteorology & Climate Change, Changchun 130062;
    2.Zhongnongyangguang Data Limited Company of Jilin, Changchun 130062
    3.Meteorological Information Centre of Jilin, Changchun 130062
  • Received:2019-02-28 Revised:2019-05-18 Online:2020-06-05 Published:2020-05-20
  • Contact: Hu Yixin

摘要:

旨在依据灾害风险理论,对吉林省霜冻灾害进行风险评估与区划,以期减轻吉林省霜冻灾害造成的损失,为农业生产合理布局提供科学依据。基于吉林省逐日地表最低温度、霜冻灾情及作物种植面积等资料,采用自然灾害风险指数法、层次分析法和加权综合评价法,对致灾因子危险性、孕灾环境敏感性和承灾体易损性指数进行评估,基于GIS进行吉林省霜冻灾害风险评估与区划。结果表明:吉林省霜冻可划分为高、次高、中、次低和低风险区5个等级,初霜冻高风险和次高风险区主要分布在西北部白城、中部长春、吉林和四平部分地区;终霜冻高风险和次高风险区主要分布在中部长春、吉林和延边部分地区。初、终霜冻风险区划结果与灾情统计结果均呈极显著正相关关系,相关系数分别达0.496和0.490(P<0.01)。本研究建立的吉林省霜冻风险评估模型,能够反映吉林省初、终霜冻的风险分布特征,初、终霜冻风险区划结果存在空间分布差异;经验证风险区划结果与历史灾情资料相符。在气候变暖背景下,吉林省霜冻灾害仍需重视。

关键词: 霜冻, 风险评估区划, GIS, 气象灾害, 吉林省

Abstract:

According to the disaster risk theory, the risk assessment and regionalization of frost disaster in Jilin were conducted to reduce the damage caused by frost disaster and provide a basis for the rational distribution of agricultural production. On the basis of daily minimum surface ground temperature, frost disaster data and crop planting area data, by using the natural disaster risk index method, weighted comprehensive analysis and analytic hierarchy process, we assessed the disaster-causing factors, sensitivity of hazard inducing environment and vulnerability of natural disaster bodies, and studied the risk assessment and regionalization of frost disaster in Jilin based on GIS. The results showed that: the frost disaster in Jilin could be divided into 5 levels, i.e. the highest, the high, the middle, the low and the lowest; the high and highest risk areas of early frost were located in Baicheng, Changchun, Jilin and Siping; the high and highest risk areas of late frost were located in Changchun, Jilin and Yanbian; the early and late frost risk regionalization results were both positively correlated with the frost disaster data significantly, the correlation coefficients were 0.496 and 0.490 (P<0.01), respectively. The frost disaster risk assessment model could reflect the distribution characteristics of the early and late frost risk, and there are differences between early frost and late frost in spatial distribution; the correlation analysis shows that the risk regionalization results tally with the frost disaster data. Under the background of climate warming, we need to attach importance to frost disaster.

Key words: frost, risk assessment and regionalization, GIS, meteorological disaster, Jilin

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