TIAN Yun-jie.Study on Drought in March of Sichuan Province based on K Index[J].Journal of Chengdu University of Information Technology,2017,(05):571-576.[doi:10.16836/j.cnki.jcuit.2017.05.018]
基于K指数的四川省3月干旱研究
- Title:
- Study on Drought in March of Sichuan Province based on K Index
- 文章编号:
- 2096-1618(2017)05-0571-06
- Keywords:
- applied meteorology; drought; K Index; sichuan; spatial distribution; interannual variation
- 分类号:
- P468
- 文献标志码:
- A
- 摘要:
- 为研究四川省3月干旱特征,利用四川省144个气象站近50年3月逐日降水、空气湿度等资料,用彭曼修正公式计算出K指数,用保证率方法对K指数干旱标准进行划分,采用克里金空间插值和一元线性回归方法,对四川省3月干旱进行时空特征分析,结果表明:用K指数能较好的研究四川干旱情况; 空间分布特征:在3月干旱容易发生于甘孜州及攀西地区,特旱、重旱、中旱、轻旱在甘孜州西南部最为严重; 年际变化特征:在3月盆地西南部、盆地西北部、盆地东北部干旱程度有加强,而川西高原、攀西地区、盆地中部、盆地南部干旱程度有减弱。
- Abstract:
- In order to study drought characteristics in March of Sichuan Province, K Index is calculated by Penman Monteith Equation with daily precipitation, air humidity from the data of 144 meteorological stations in the nearly 50 years, classifying drought by the method of guarantee rate. Kriging Interpolation method and Simple linear regression equation are used to analyze spatial and temporal characteristics in March of Sichuan. It can be safely concluded that the K drought index has a great significance to drought condition. Spatial distribution of drought: Ganzi Prefecture and Panzhihua-Xichang area witness drought and the southeast of Ganzi Prefecture are frequent to see severe drought, heavy drought, middle drought as well as light drought. Interannual variation: the degree of drought in the southeast, northwest and northeast of Sichuan Basin strengthens, while the degree weakens in the western Sichuan highland, Panzhihua-Xichang area, the middle and south of the Basin.
参考文献/References:
[1] Hagman G.Prevention better than cure:Report on human and natural disasters in the third world[R].Stockholm:Swedish RedCross,1984.
[2] 张景书.干旱的定义及其逻辑分析[J].干旱地区农业研究,1993,11(3):97-100.
[3] 刘晓云,王劲松,李耀辉,等.基于Copula函数的中国南方干旱风险特征研究[J].气象学报, 2015,73(6):1080-1091.
[4] 姚玉璧,张强,王劲松,等.中国西南干旱对气候变暖的响应特征[J].生态环境学报,2014,23(9):1409-1417.
[5] 王劲松,任余龙,宋秀玲.K干旱指数在甘肃省干旱监测业务中的应用[J].干旱气象,2008,26(4):75-79.
[6] 李蕾,刘素红,周兆明,等.基于时间序列GLASS LAI数据的四川省干旱特征研究[J].科协论坛,2013,(7):123-124.
[7] 潘冬梅,潘雪梅.基于K指数的阿勒泰地区夏季气象干旱特征[J].干旱区研究,2013,30(2):336-340.
[8] 齐冬梅,李跃清,陈永仁,等.近50年四川地区旱涝时空变化特征研究[J].高原气象,2011,30(5):1170-1179.
[9] 杨金虎,张强,王劲松,等.近60年来西南地区旱涝变化及极端和持续性特征认识[J].地理科学,2015,35(10):1333-1340.
[10] 李红梅.4种干旱指标在陕西的适用性比较分析[J].中国农村水利水电,2014,(11):50-54.
[11] 王鑫,陈东东,李金建.基于MODIS的温度植被干旱指数在四川盆地盛夏干旱监测中的适用性研究[J].高原山地气象研究,2015,35(2):46-51.
[12] 于飞,谷晓平,熊华.贵州潜在蒸散时空变化特征及对气象因子敏感性[J].农业科学与技术,2015,16(12):2845-2848.
[13] 王劲松,郭江勇,倾继祖.一种K干旱指数在西北地区春旱分析中的应用[J].自然资源学报,2007,22(5):709-717.
[14] 陈仲全,何友松,严江平.中国西北地区的干旱气候及水热资源的调节[J].中国沙漠,1984,4(4):33-40.
[15] 邱宝剑,卢其尧.农业气候区划及其方法[M].北京:科学出版社,1987:71-72.
[16] 谢五三,田红.五种干旱指标在安徽省应用研究[J].气象科技,2011,37(4):503-507.
[17] 张强,鞠笑生,李淑华.三种干旱指标的比较和新指标的确定[J].气象科技,1998(2):48-52.
[18] 王明田,王翔,黄晚华,等.基于相对湿润度指数的西南地区季节性干旱时空分布特征[J].农业工程学报,2012,28(19):85-92,295.
[19] 刘永红,李茂松.四川季节性干旱与农业防控节水技术研究[M].北京:科学出版社,2011:27-32.
[20] 巫娜,罗凝谊,许勇.四川盆地干旱灾害统计特征[J].气象科技,2014,42(2):309-313.
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备注/Memo
收稿日期:2017-05-23