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基于ESDA的吉林省玉米生产水足迹空间分异 被引量:4

Spatial difference of water footprint for maize production in Jilin Province based on ESDA
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摘要 通过对吉林省玉米生产水足迹的计算,探讨了不同降水年型玉米生产水足迹及其水分来源的变化规律;利用探索性空间数据分析(ESDA)方法,对玉米生产水足迹总体和局部空间差异进行了分析.结果表明:吉林省玉米生产水足迹以绿水足迹为主,占50%左右;对比不同降水年型玉米生产水足迹,枯水年最高,平水年次之,丰水年最低;玉米生产水足迹空间差异明显,在整体上存在着显著的集聚效应,丰水年和枯水年集聚现象比平水年更加明显.从GeoDA生成的LISA聚集图可以看出,在局部差异方面,"低-低"类型的县(市)数量最多,主要集中在吉林省东部地区;"高-高"类型的县(市)数量较多,主要集中在吉林省中部地区;"低-高"类型的县(市)数量较少,其他地区显著性不明显. Based on the concept and calculation methods of water footprint, this paper estimated water footprint of maize production in different precipitation years and discussed the changes of water source. Furthermore,the exploratory spatial data analysis (ESDA) method was applied to investigate the spatial differences of water footprint of maize production at the county level in Jilin Province by using GIS and GeoDA software. Results indicate that: (1) The major portion of water footprint of maize production is green water, which accounts for 50% or so~ (2) Comparing water footprint of maize production in different precipitation years, it is highest in the dry year, the normal year takes second place and lowest in the wet year~ (3)The clustering phenomenon about spatial differences of water footprint for maize production appears on the whole, which is more obvious in the wet and dry year than the normal year; (4) Four types (High-High, High-Low, Low-High and Low-Low) reflecting more intuitive spatial association pattern of water footprint of maize production were showed in this paper. The counties of "H-H" type are more and found mainly in the central area of Jilin Province. The counties of "L-L" type are most and mainly locate in the eastern region of Jilin Province. The counties of "L-H" and "H - L" type are less and its significance is not clear.
出处 《东北师大学报(自然科学版)》 CAS CSCD 北大核心 2015年第2期120-127,共8页 Journal of Northeast Normal University(Natural Science Edition)
基金 国家自然科学基金资助项目(41171038) 教育部人文社会科学规划基金资助项目(10YJA840032) 中央高校基本科研业务费专项资金资助项目(12SSXT150)
关键词 水足迹 ESDA 空间自相关 玉米 吉林省 water footprint ESDA spatial autocorrelation maize Jilin Province
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