基于地表覆盖数据的农业水土资源匹配格局分析——以辽宁省为例
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  • 英文篇名:Analysis of Matching Pattern of Agricultural Water and Soil Resources Based on Surface Coverage Data:Taking Liaoning Province for an Example
  • 作者:黄超 ; 王亮 ; 李西灿 ; 张玉
  • 英文作者:HUANG Chao;WANG Liang;LI Xican;ZHANG Yu;College of Information Science and Engineering,Shandong Agricultural University;Chinese Academy of Surveying and Mapping;
  • 关键词:地表覆盖数据 ; 水土资源 ; 粮食产量 ; 水土匹配 ; 辽宁省
  • 英文关键词:surface coverage data;;water and soil resources;;grain production;;water and soil matching;;Liaoning province
  • 中文刊名:YGXX
  • 英文刊名:Remote Sensing Information
  • 机构:山东农业大学信息科学与工程学院;中国测绘科学研究院;
  • 出版日期:2019-04-20
  • 出版单位:遥感信息
  • 年:2019
  • 期:v.34;No.162
  • 基金:国家自然科学基金(71773117);; 中国测绘科学研究院基本科研业务费项目(7771718)
  • 语种:中文;
  • 页:YGXX201902020
  • 页数:5
  • CN:02
  • ISSN:11-5443/P
  • 分类号:127-131
摘要
针对如何更加合理利用水土资源以提高粮食产量的问题,基于地理国情监测获得的地表覆盖数据和粮食产量统计数据,从微观角度反映水土匹配对粮食产量的影响。以我国东北地区重要粮食主产区辽宁省为研究对象的数据显示,辽宁省水土匹配状况空间分布不均匀现象明显,中部地区优于东西部地区,东部地区优于西部地区;粮食产量中部地区高于东、西部地区,西部地区高于东部地区。研究结果表明,辽宁省水土匹配系数较高的地区与粮食产量较高的地区均分布在辽宁省中部地区,但东西部地区水土匹配与粮食产量存在空间错位,建议在中部地区保护水资源,东部地区根据地形条件选择适宜农作物种植,西部地区兴修水利,改善水土匹配状况,提高粮食产量。
        In view of how to make more rational use of water and soil resources to improve food production,based on the geographical coverage data and grain output statistics obtained from the monitoring of geographical conditions,this paper reflects the impact of soil and water matching on grain yield from a micro perspective.According to the data of Liaoning province,an important grain producing area in Northeast China,the spatial distribution of water and soil matching in Liaoning province is uneven.Among them,the central region is superior to the eastern and western regions,and the eastern region is superior to the western region;besides,the grain output in the central region is higher than that in the eastern and western regions,and the western region is higher than the eastern region.The results show that the areas with high water and soil matching coefficient and high grain yield are located in the central part of Liaoning province,but there is spatial dislocation between soil and water matching and grain yield in the eastern and western regions.It is recommended to protect water resources in the center region.In the eastern region,suitable crops are selected according to the topographical conditions,water resources are supposed to be improved in the western region,so as to make water and soil matching conditions and grain yield better.
引文
[1]刘彦随,吴传钧.中国水土资源态势与可持续食物安全[J].自然资源学报,2002,17(3):270-275.
    [2]姜秋香,付强,王子龙,等.三江平原水土资源空间匹配格局[J].自然资源学报,2011,26(2):270-277.
    [3]刘彦随,甘红,张富刚.中国东北地区农业水土资源匹配格局[J].地理学报,2006,61(8):847-854.
    [4]陶国芳,蒋兆恒.白山市水土资源空间匹配分析[J].通化师范学院学报,2013,34(6):134-137.
    [5]吴宇哲,鲍海君.区域基尼系数及其在区域水土资源匹配分析中的应用[J].水土保持学报,2003(5):123-125.
    [6]李天霄,付强,孟凡香.黑龙江省农业水土资源时空匹配格局研究[J].东北农业大学学报,2017,48(6):51-58.
    [7]杨齐祺,杨悉廉,乔传泰斗,等.基尼系数视野下的安徽省水土资源匹配分析[J].中国农学通报,2016,32(20):72-76.
    [8]王薇,吕宁江,王昕,等.黄河三角洲水土资源空间匹配格局探析[J].水资源与水工程学报,2014,25(2):66-70.
    [9]张孝存,张妍,张红侠.商洛地区农业水土资源时空匹配研究[J].安徽农业科学,2007,35(32):10418-10420.
    [10]孙晶华,张吴平,吴亚楠,等.山西省农业水土资源时空匹配及短缺分析[J].山西农业科学,2017,45(3):443-447,464.
    [11]侯薇,刘小学,魏晓妹.陕西关中地区农业水土资源时空匹配格局研究[J].水土保持研究,2012,19(1):134-138.
    [12]刘纪平,董春,亢晓琛,等.大数据时代的地理国情统计分析[J].武汉大学学报(信息科学版),2019,44(1):68-76,83.