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机构地区:[1]甘肃省干旱生境作物学重点实验室,兰州730070 [2]甘肃农业大学资源与环境学院,兰州730070 [3]甘肃省农科院,兰州730070
出 处:《水土保持研究》2012年第4期138-141,共4页Research of Soil and Water Conservation
基 金:甘肃省科技支撑计划(1104NKCA093)
摘 要:应用ArcGIS 9.3,MapGIS 6.7和县域耕地资源管理信息系统,综合运用层次分析法、模糊数学法,将临泽县土壤图、土地利用现状图、行政区划图叠加求交生成评价单元图,进一步采用层次分析法确定土壤肥力评价因子的权重,对评价指标建立相应的隶属函数,通过计算其隶属度,求得每个评价单元的土壤肥力综合指标值,并依据综合值确定了土壤肥力等级及其面积。结果表明:临泽县土壤综合肥力较高的区域占临泽县耕地总面积的46.51%;土壤综合肥力中等区域占18.54%;土壤综合肥力一般区域占14.17%;土壤综合肥力较差区域占20.68%。利用县域耕地资源管理信息系统与GIS可以快速科学地对土壤肥力进行科学评价,与传统的评价方法相比,可以节约大量的人力、财力和物力。By applying ArcGIS 9.3,MapGIS 6.7 and arable land resources management information system of a county,and synthetically using the analytic hierarchy process,fuzzy mathematics method,and intersecting digitalized the Linze County soil map,present land use map and the administrative map,the evaluation unit map was generated.The weights of evaluation factor of soil fertility were determined through the analytic hierarchy process.And the corresponding membership function for evaluation indices were established by calculating the degree of membership.The integrated soil fertility index value of each assessment unit was acquired and the grades of the soil fertility and its area were determined based on the integrated value.The results showed that the comprehensive high soil fertility area of Linze County accounted for 46.51% of the total arable land area,the medium area accounted for 18.54%,the general region was 14.17%,the area of poor soil fertility accounted for 20.68%.It can be concluded that the use of arable land resources management information system and GIS could evaluate soil fertility more quickly and efficiently compared with the traditional methods,and could also save a lot of labor power,financial resources and material resources.
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