摘要
冰雹是新疆农作物生长期频繁出现的严重气象灾害。该文利用1951—2017年雹灾出现次数、受灾面积、经济损失3大灾情要素,分析了新疆雹灾的时空分布规律。利用熵权重计算方法构建了评价雹灾危害性的灾损指数,依据伽玛分布对危害性等级进行了划分,并利用气候因子和农作物播种面积解释了雹灾时空变化的原因。新疆雹灾多发于天山两侧及邻近地区,3大灾情要素呈线性增加趋势。雹灾划分为一般、较重、严重、特重4个等级,塔城博州、奎玛流域、昭苏县、阿克苏地区、伽师县是特重灾区。动力抬升、水汽条件、大气层结不稳定是新疆雹灾时空分布的主要影响因子,而雹灾出现次数、农作物播种面积对受灾面积线性增长趋势的贡献率分别为93%和7%。利用水汽压、气团指数、播种面积作为因子,建立了雹灾出现次数偏多、偏少的年景预测模型,模型预测正确率达73%。研究结果可为新疆人工防雹避灾提供依据。
Hail is a serious meteorological disaster that occurs frequently in the growing period of crops in Xinjiang.Based on 2 629 records of 3 major disaster elements:the occurrence times,disaster area and economic loss of hail disaster in 1951-2017,the temporal and spatial distribution of hail disaster in Xinjiang was analyzed.Based on the entropy weight method(EWM),the disaster loss index which can comprehensively express the 3 disaster information was constructed.According to the gamma distribution function of the disaster loss index,the classification criteria of the damage grade of hail disaster were given objectively and quantitatively.Then the harm of hail disaster was classified and evaluated.The reasons for the regional,seasonal and interannual variation of hail disasters in Xinjiang were explained with water vapor pressure and air mass index.Air mass forecast model of hail disasters was established based on the logical regression.The results showed that:1)The annual number of occurrences,the area and the economic losses of hail disasters in Xinjiang were 39 times,75 485 hm^2,and 109.96 million yuan.The hail disasters concentrated from May to August,i.e.in the crop growth period,and mostly in June;Bozhou,Kuitun-Manas Valley,Zhaosu County,Aksu Prefecture and Kashgar Prefecture on both sides of the Tianshan Mountains and adjacent areas had the most occurrences of hail disasters,large area and heavy economic losses;the largest areas affected by the single hail were Manas River Basin and Aksu Prefecture.The area that suffered the most economic losses by the single hail was the northern part of Bazhou and Kashgar Prefecture.The 3 major disaster factors all showed a linear increase trend.The propensity rates were 1.2 times/year,2 589 hm^2/year,and 3.36 million yuan/year.All of them showed abrupt changes in 1983,1981,and 1979,respectively.The mean values were significantly different before and after the abrupt changes,and the mean value after the abrupt changes was 3.9 times,5.7 times and 3.6 times of that before the
作者
王昀
王式功
王旭
马禹
Wang Yun;Wang Shigong;Wang Xu;Ma Yu(College of Atmospheric Science of Lanzhou University,Key Laboratory of Arid Climatic Change and Reducing Disaster of Gansu Province,Lanzhou 730000,China;College of Atmospheric Science of Chengdu University of Information Technology,Plateau Atmosphere and Environment Key Laboratory of Sichuan Province,Chengdu 610225,China;Weather Modification Office of Xinjiang Uygur Autonomous Region,Urumqi 830002,China;Climate Center of Xinjiang Uygur Autonomous Region,Urumqi 830002,China)
出处
《农业工程学报》
EI
CAS
CSCD
北大核心
2019年第6期149-157,共9页
Transactions of the Chinese Society of Agricultural Engineering
基金
公益性行业(气象)科研专项经费项目(GYHY201306047)
关键词
危害
模型
作物
雹灾
时空分布
影响因子
hazards
models
crops
hail disaster
temporal and spatial distribution
influencing factor
