[1]ZHANG Weicheng,XU Lang.Study on Drought Vulnerability of Summer Maize in He’nan Province Based on ArcGIS[J].Research of Soil and Water Conservation,2018,25(02):228-234.
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Study on Drought Vulnerability of Summer Maize in He’nan Province Based on ArcGIS
Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume:
25
Number of periods:
2018 02
Page number:
228-234
Column:
Public date:
2018-04-03
- Title:
- Study on Drought Vulnerability of Summer Maize in He’nan Province Based on ArcGIS
- Keywords:
- summer maize; drought vulnerability; ArcGIS; He’nan Province
- CLC:
- S166
- DOI:
- -
- Abstract:
- Based on IPCC definition of vulnerability, a risk assessment model of summer maize vulnerability to drought was established from the perspectives of exposure, sensitivity and adaptability by using the data of weather,planting area and yield of summer maize of 23 stations in He’nan Province, and summer maize vulnerability was zoned and analyzed by ArcGIS. The result showed that high and sub high drought vulnerability zones of summer maize were mainly located in west He’nan,northwest of south He’nan and parts of central He’nan, the medium and low zones were mainly located in Nanyang Basin and eastern plain of He’nan. From the three elements of vulnerability, west He’nan belongs to the weak zone. In west He’nan, the drought dangerousness index, sowing ratio of summer maize and environmental sensitivity are higher than those of the whole province, meanwhile, adaptability is relatively weak. Therefore, the region should focus on regional disaster prevention and mitigation investment, optimizing the planting structure. The drought vulnerability index and average relative meteorological yield are significantly correlated after testing, the correlation coefficient is -0.578. The model constructed in this paper can reflect the influence of drought on summer maize production. The results can provide scientific basis for disaster prevention and disaster reduction management.
- References:
-
[1] 刘小雪,申双和,刘荣花.河南夏玉米产量灾损的风险区划[J].中国农业气象,2013,34(5):582-587.
[2] 薛昌颖,张弘,刘荣花.黄淮海地区夏玉米生长季的干旱风险[J].应用生态学报,2016,27(5):1521-1529.
[3] 李治国.近40 a河南省农业气象灾害对粮食生产的影响研究[J].干旱区资源与环境,2013,27(5):126-130.
[4] 薛昌颖,刘荣花,马志红.黄淮海地区夏玉米干旱等级划分[J].农业工程学报,2014,30(16):147-156.
[5] 田宏伟,李树岩.河南省夏玉米干旱综合风险精细化区划[J].干旱气象,2016,34(5):852-859.
[6] 尹树斌,巢礼义,冯发林.湖南省农业干旱灾害特征与水资源高效利用模式[J].湖南师范大学自然科学学报,2005,28(4):80-84.
[7] 康永辉,解建仓,黄伟军,等.农业干旱脆弱性模糊综合评价[J].中国水土保持科学,2014,12(2):113-120.
[8] 王婷,袁淑杰,王婧,等.四川省水稻干旱灾害承灾体脆弱性研究[J].自然灾害学报,2013,22(5):221-226.
[9] 裴欢,王晓妍,房世峰.基于DEA的中国农业旱灾脆弱性评价及时空演变分析[J].灾害学,2015,30(2):64-69.
[10] 王莺,王静,姚玉璧,等.基于主成分分析的中国南方干旱脆弱性评价[J].生态环境学报,2014,23(12):1897-1904.
[11] 李梦娜,钱会,乔亮.关中地区农业干旱脆弱性评价[J].资源科学,2016,38(1):166-174.
[12] Brant S. Assessing vulnerability to drought in Ceara Northeast Brazil[D]. Ann Arbor:University of Michigan, 2007.
[13] Zarafshani K, Sharafi L, Azadi H, et al. Drought vulnerability assessment:The case of wheat farmers in Western Iran[J]. Global & Planetary Change, 2012,98/99(6):122-130.
[14] 严奉宪,张钢仁,朱增城.基于农户尺度的农业旱灾脆弱性综合评价:以湖北省襄阳市曾都区农户调查为例[J].华中农业大学学报:社会科学版,2012(1):11-16.
[15] 阎莉,张继权,王春乙,等.辽西北玉米干旱脆弱性评价模型构建与区划研究[J].中国生态农业学报,2012,20(6):788-794.
[16] 王静爱.中国省市区地理:河南地理[M].北京:北京师范大学出版社,2010.
[17] 葛全胜,奏铭,郑景云.中国自然灾害风险综合评估初步研究[M].北京:科学出版社,2008.
[18] 贾建英,贺楠,韩兰英,等.基于自然灾害风险理论和ArcGIS的西南地区玉米干旱风险分析[J].农业工程学报,2015,31(4):152-159.
[19] 徐品泓.河南省冬小麦旱灾风险评价[D].北京:北京师范大学,2011.
[20] 张强,邹旭恺,肖风劲,等.气象干旱等级GB/T20481-2006[S],北京:中国标准出版社,2006.
[21] 莫建飞,陆甲,李艳兰,等.基于GIS的广西洪涝灾害孕灾环境敏感性评估[J].灾害学,2010,25(4):33-37.
[22] Mach K, Mastrandrea M. Climate change 2014:impacts, adaptation, and vulnerability[M]. Cambridge and New York:Cambridge University Press, 2014.
[23] 张蕾,霍治国,黄大鹏,等.海南瓜菜春季干旱风险分析与区划[J].生态学杂志,2014,33(9):2518-2527.
[24] 王春乙,张雪芬,赵艳霞.农业气象灾害影响评估与风险评价[M].北京:气象出版社,2010.
[25] 杨平,张丽娟,赵艳霞,等.黄淮海地区夏玉米干旱风险评估与区划[J].中国生态农业学报,2015,23(1):110-118.
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1900-01-01