Wang Yongli, Hou Qiong, Miao Bailing, et al. Drought risk regionalization of potatoes in Inner Mongolia. J Appl Meteor Sci, 2017, 28(4): 504-512. DOI:  10.11898/1001-7313.20170411.
Citation: Wang Yongli, Hou Qiong, Miao Bailing, et al. Drought risk regionalization of potatoes in Inner Mongolia. J Appl Meteor Sci, 2017, 28(4): 504-512. DOI:  10.11898/1001-7313.20170411.

Drought Risk Regionalization of Potatoes in Inner Mongolia

DOI: 10.11898/1001-7313.20170411
  • Received Date: 2017-02-20
  • Rev Recd Date: 2016-01-13
  • Publish Date: 2017-07-31
  • Drought is a primary determinant agro-meteorological disaster which constrains the potato yield in Inner Mongolia. The classification of drought risk is particularly significant for disaster risk assessment and mitigation. Utilizing meteorological data of 73 stations from 1979 to 2013, historical drought disaster records with potato yield data and social attribute data, the extent of the potato drought disaster in Inner Mongolia is investigated.Results from the use of GIS spatial analysis and the fuzzy clustering method are pertained from the aspects of drought-causing factor risk indices, the vulnerability of disaster-bearing bodies, the exposure of the disaster environment and the evaluation index system of disaster prevention and mitigation capacity in the region.Based on the regression model, thresholds for light drought, medium drought and heavy drought are derived from the regression model portrayed as linear between the percentage of negative anomalies of precipitation and the relative meteorological yield in the central western and eastern Inner Mongolia, combined with the agricultural drought grade and the precipitation anomaly percentage under the national criterion of meteorological and drought grade.It opens up opportunities to fully exploit the use of drought index as an indicator of the distribution of the drought risk, and thus it is of immense importance in monitoring the smooth decreasing tendency from west to east.High risk areas covering 19.1% are mainly distributed in northeastern Ordos, southern and northern Hohhot, most regions in Wulanchabu and Xilinhhot in the southern region. The middle risk zone is primarily distributed in some areas of Hohhot, the central and southern of Chifeng, the northwest of Tongliao, the northeast of Xing'an League, the northern of Hulunbeier, coveringing 20.1% of the total area. The lower risk areas cover 41% of the total area including the western and northern of Chifeng, the southeast of Tongliao, the southwest of Xing'an League, the southeastern of Hulunbeier, and so on.
  • Fig. 1  Drought risk distribution over the integrated growth period

    Fig. 2  The spatial distribution of comprehensive index in vulnerability of hazard-affected bodies

    Fig. 3  The ratio of potato planting area to total grain crops planting area

    Fig. 4  The distribution of disaster defense ability index

    Fig. 5  Potato drought risk regionalization in Inner Mongolia

    Table  1  Regression equation between yield reduction and precipitation negative anomaly percentage

    地区 回归方程 相关系数 样本量
    中西部 Yd=0.5538Pa-18.393 0.412 267
    东部 Yd=0.3306Pa-18.662 0.311 205
    注:Pa为降水距平百分率,Yd为减产率。
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    Table  2  The drought index of potato based on the precipitation anomaly

    区域 干旱等级 Pa/% Pa所占比例/% Yd/%
    中西部 轻旱 -25 < Pa≤-5 47.0 -25 < Yd≤-5
    中旱 -40 < Pa≤-25 36.6 -45 < Yd≤-25
    重旱 Pa≤-40 16.4 Yd≤-45
    东部 轻旱 -30 < Pa≤-10 60.0 -20 < Yd≤-5
    中旱 -45 < Pa≤-30 28.7 -40 < Yd≤-20
    重旱 Pa≤-45 11.3 Yd≤-40
    注:Pa为降水距平百分率,Yd为减产率。
    DownLoad: Download CSV

    Table  3  Small-grid model parameters

    指标 H
    a1 -4.2612
    a2 -0.0479*
    a3 -0.0095
    a4 0.0013
    a5 4.2001
    a6 -0.4119
    a7 -0.0274
    a8 0.0001
    F 6.751
    R2 0.4097*
    注:*表示达到0.001的显著性水平。
    DownLoad: Download CSV

    Table  4  The risk index of potato drought and area ratio in Inner Mongolia

    区号 区名 综合风险指标 面积比例/%
    高风险区 (0.65,1] 19.1
    中风险区 (0.40,0.65] 20.1
    较低风险区 (0.18,0.40] 41.0
    低风险区 (0,0.18] 19.8
    DownLoad: Download CSV
  • [1]
    侯琼, 陈素华, 乌兰巴特尔.基于SPAC原理建立内蒙古草原干旱指标.中国沙漠, 2008, 28(2):326-331. http://www.cnki.com.cn/Article/CJFDTOTAL-ZGSS200802027.htm
    [2]
    李树岩, 刘荣花, 马志红.基于降水距平的黄淮平原夏玉米干旱评估指标研究.干旱地区农业研究, 2012, 30(3):252-256. http://www.cnki.com.cn/Article/CJFDTOTAL-GHDQ201203041.htm
    [3]
    姚玉璧, 张存杰, 邓振庸, 等.气象、农业干旱指标综述.干旱地区农业研究, 2007, 25(1):185-190. http://www.cnki.com.cn/Article/CJFDTOTAL-GHDQ200701038.htm
    [4]
    王密侠, 马成军, 蔡焕杰.农业干旱指标研究与进展.干旱地区农业研究, 1998, 16(3):119-124. http://www.cnki.com.cn/Article/CJFDTOTAL-GHDQ803.022.htm
    [5]
    郭建平.农业气象灾害监测预测技术研究进展.应用气象学报, 2016, 27(5):620-630. doi:  10.11898/1001-7313.20160510
    [6]
    邱林, 陈晓楠, 段春青, 等.农业干旱程度评估指标的量化分析.灌溉排水学报, 2004, 23(3):34-37. http://www.cnki.com.cn/Article/CJFDTOTAL-GGPS200403010.htm
    [7]
    徐向阳, 刘俊, 陈晓静.农业干旱评估指标体系.河海大学学报, 2001, 29(4):56-60. http://www.cnki.com.cn/Article/CJFDTOTAL-HHDX200104011.htm
    [8]
    陆魁东, 黄晚华, 方丽, 等.气象灾害指标在湖南春玉米种植区划中的应用.应用气象学报, 2007, 18(4):548-554. doi:  10.11898/1001-7313.20070416
    [9]
    刘荣花, 朱自玺, 方文松, 等.华北平原冬小麦干旱灾损风险区划.生态学杂志, 2006, 25(9):1068-1072. http://www.cnki.com.cn/Article/CJFDTOTAL-STXZ200609011.htm
    [10]
    任义方, 赵艳霞, 王春乙.河南省冬小麦干旱保险风险评估与区划.应用气象学报, 2011, 22(5):537-548. doi:  10.11898/1001-7313.20110503
    [11]
    李莉, 匡昭敏, 莫建飞, 等.广西甘蔗秋旱灾害风险评估技术初步研究.应用气象学报, 2016, 27(1):95-101. doi:  10.11898/1001-7313.20160110
    [12]
    商彦蕊.农业旱灾研究进展.地理与地理信息科学, 2007, 20(4):101-105. http://www.cnki.com.cn/Article/CJFDTOTAL-DLGT200404024.htm
    [13]
    陈家金, 李丽纯, 林晶, 等.福建省枇杷气象灾害综合风险评估.应用气象学报, 2014, 25(2):232-241. doi:  10.11898/1001-7313.20140213
    [14]
    抗艳红, 龚学臣, 赵海超, 等.不同生育时期干旱胁迫对马铃薯生理生化指标的影响.中国农学通报, 2011, 27(15):97-101. http://www.cnki.com.cn/Article/CJFDTOTAL-ZNTB201115021.htm
    [15]
    陈晨. 马铃薯不同施肥措施生理指标的研究. 西宁: 青海大学, 2013.
    [16]
    姚春馨, 丁玉梅, 周晓罡, 等.马铃薯抗旱相关表型效应分析与抗旱指标初探.作物研究, 2012, 26(5):474-477;481. http://www.cnki.com.cn/Article/CJFDTOTAL-ZWYJ201205016.htm
    [17]
    郑丽娟.基于GIS的乌兰察布市马铃薯干旱风险区划分析.内蒙古气象, 2016(2):32-35. http://www.cnki.com.cn/Article/CJFDTOTAL-NMQX201602008.htm
    [18]
    苗百岭, 侯琼, 梁存柱.基于GIS的阴山旱作区马铃薯种植农业气候区划.应用生态学报, 2015, 26(1):278-282. http://www.cnki.com.cn/Article/CJFDTOTAL-YYSB201501037.htm
    [19]
    田志会, 龚绍先.内蒙古武川旱农试验区马铃薯干旱监测系统的研究.中国农业大学学报, 1997, 2(1):75-81. http://www.cnki.com.cn/Article/CJFDTOTAL-NYDX199701017.htm
    [20]
    白美兰, 侯琼.马铃薯产量的风险评估及区划研究.气象科技, 2003, 31(4):237-242. http://www.cnki.com.cn/Article/CJFDTOTAL-QXKJ200304009.htm
    [21]
    白美兰, 侯琼, 郝润全.雨养农业区马铃薯产量的风险评估.干旱地区农业研究, 2004, 22(1):6-10. http://www.cnki.com.cn/Article/CJFDTOTAL-GHDQ200401002.htm
    [22]
    沈建国.中国气象灾害大典·内蒙古卷.北京:气象出版社, 2008.
    [23]
    邓国, 李世奎. 中国粮食作物产量风险评估方法//李世奎. 中国农业灾害风险评估与对策. 北京: 气象出版社, 1999: 122-128.
    [24]
    李世奎, 霍治国, 王素艳, 等.农业气象灾害风险评估体系及模型研究.自然灾害学报, 2004, 13(1):77-87. http://www.cnki.com.cn/Article/CJFDTOTAL-ZRZH200401013.htm
    [25]
    宫德吉, 陈素华.农业气象灾害损失评估方法及其在产量预报中的应用.应用气象学报, 1999, 10(1):66-71. http://qikan.camscma.cn/jams/ch/reader/key_query.aspx#
    [26]
    姚玉璧, 雷俊, 牛海洋, 等.气候变暖对半干旱区马铃薯产量的影响.生态环境学报, 2016, 25(8):1264-1270. http://www.cnki.com.cn/Article/CJFDTOTAL-TRYJ201608003.htm
    [27]
    姚玉璧, 张秀云, 王润元, 等.西北温凉半湿润区气候变化对马铃薯生长发育的影响——以甘肃岷县为例.生态学报, 2010, 30(1):101-108. http://www.cnki.com.cn/Article/CJFDTOTAL-STXB201001012.htm
    [28]
    任福民, 史久恩.我国干旱半干旱区降水的特征分析.应用气象学报, 1995, 6(4):501-504. http://qikan.camscma.cn/jams/ch/reader/key_query.aspx#
    [29]
    吕厚荃.GB/T 32136-2015.农业干旱等级.北京:中国标准出版社, 2016.
    [30]
    陈素华.QX/T142-2011.北方草原干旱指标.北京:气象出版社, 2011.
    [31]
    吴东丽, 王春乙, 薛红喜, 等.华北地区冬小麦干旱风险区划.生态学报, 2011, 31(3):760-769. http://www.cnki.com.cn/Article/CJFDTOTAL-STXB201103020.htm
    [32]
    朱琳, 叶殿秀, 陈建文, 等.陕西省冬小麦干旱风险分析及区划.应用气象学报, 2002, 13(2):201-206. http://qikan.camscma.cn/jams/ch/reader/key_query.aspx#
    [33]
    王素艳, 霍治国, 李世奎.北方冬小麦干旱灾损风险区划.作物学报, 2005, 31(3):267-274. http://www.cnki.com.cn/Article/CJFDTOTAL-XBZW200503000.htm
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    • Received : 2017-02-20
    • Accepted : 2016-01-13
    • Published : 2017-07-31

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