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密云县农用地分等初步研究
引用本文:杜丽娟,王秀茹,程金花,孙文轩,吴赛男.密云县农用地分等初步研究[J].中国水土保持科学,2007,5(3):59-63.
作者姓名:杜丽娟  王秀茹  程金花  孙文轩  吴赛男
作者单位:北京林业大学水土保持学院,100083,北京
基金项目:北京市农用地分等定级与估价项目
摘    要: 在分析密云县自然、社会、经济条件的基础上,采用因素法进行农用地分等,计算出密云县农用地分等成果,并对结果进行检验与分析。结果表明:采用因素法计算的分等结果与实际相符;密云县农用地总体等别偏低,等别呈现出明显的地域性与指标区差异。同时,提出农用地分等中存在的问题,即以乡镇行政界线划分指标区在县级农用地分等中存在一定的误差,建议采用分等单元实际地形地貌界线划分县级农用地分等指标区。

关 键 词:农用地  分等  因素法  密云县
收稿时间:2006-12-11
修稿时间:2007-04-15

Study on agricultural land classification in Miyun County
Du Lijuan,Wang Xiuru,Cheng Jinhua,Sun Wenxuan,Wu Sainan.Study on agricultural land classification in Miyun County[J].Science of Soil and Water Conservation,2007,5(3):59-63.
Authors:Du Lijuan  Wang Xiuru  Cheng Jinhua  Sun Wenxuan  Wu Sainan
Institution:College of Soil and Water Conservation,Beijing Forestry University,100083,Beijing,China
Abstract:Based on the analyzing natural,social and economical condition of Miyun County, the procedure and methods by using factor method to classify the agricultural land were discussed.The results of classification of agricultural land in Miyun County were analyzed and checked.Results indicated that: 1) The results of classification by used factor method are in according with the fact;2) The classification grade of agricultural land in Miyun County is low in whole.The total grades are from 3rd to 16th.The main grades are from 4th to 7th which are account for 80.93 percents.3) The agricultural land classification grades show different in region,which are higher in upstream,downstream and closed area of Miyun reservoir and lower in other area.4) The agricultural land classification grades show different in index zone,which are higher in Beijing plain index zone and lower in north mountain index zone.In the end,it was put forward that identify index zone according to administrate boundary in large scale is not so suitable in agricultural land classification in county scale.To use the factual topographical boundary of classification unit to identify the index zone was suggested.
Keywords:agricultural land  classification  factor method  Miyun County
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