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北京市大兴区耕地质量等级监测控制点布设
引用本文:胡晓涛,吴克宁,马建辉,赵华甫,王倩.北京市大兴区耕地质量等级监测控制点布设[J].资源科学,2012,34(10):1891-1897.
作者姓名:胡晓涛  吴克宁  马建辉  赵华甫  王倩
作者单位:中国地质大学(北京)土地科学技术学院,北京100083 国土资源部土地整治重点实验室,北京100035
基金项目:国土资源部公益性行业科研专项课题:“耕地等级变化监测指标研究及耕地等级监测技术中部地区示范”(编号:201011006-2)。
摘    要:本文以北京市大兴区为例,把理论模型构建和实证分析相结合,探讨耕地质量等级监测控制点布设方法。大兴区耕地质量等级监测变异半径为3.72km,布设理论监测样点43个,监测样点的控制范围为1086hm2,但若考虑到土地利用规划、土壤类型(亚类)、自然等各等别面积比例、利用等各等别面积比例、土地整理项目区、样点覆盖全面性等因素,监测样点合理布设数应为46个才能满足研究区耕地质量等级监测工作精度要求。研究表明,变异函数理论模型在研究耕地质量等级监测样点布设过程中具有较为理想的应用价值,可以提高监测样点的代表性和耕地质量监测信息的完整性。

关 键 词:耕地质量  监测  变异半径  样点布设
收稿时间:3/9/2012 12:00:00 AM

Control Points for Quality of Arable Land Quality Monitoring in Daxing District, Beijing
HU Xiaotao,WU Kening,MA Jianhui,ZHAO Huafu and WANG Qian.Control Points for Quality of Arable Land Quality Monitoring in Daxing District, Beijing[J].Resources Science,2012,34(10):1891-1897.
Authors:HU Xiaotao  WU Kening  MA Jianhui  ZHAO Huafu and WANG Qian
Institution:School of Land Science and Technology,China University of Geosciences, Beijing 100083, China;Key Laboratory of Ministry of Land and Land Remediation, Beijing 100035, China;School of Land Science and Technology,China University of Geosciences, Beijing 100083, China;Key Laboratory of Ministry of Land and Land Remediation, Beijing 100035, China;School of Land Science and Technology,China University of Geosciences, Beijing 100083, China;Key Laboratory of Ministry of Land and Land Remediation, Beijing 100035, China;School of Land Science and Technology,China University of Geosciences, Beijing 100083, China;Key Laboratory of Ministry of Land and Land Remediation, Beijing 100035, China;School of Land Science and Technology,China University of Geosciences, Beijing 100083, China;Key Laboratory of Ministry of Land and Land Remediation, Beijing 100035, China
Abstract:Variogram modeling for monitoring the sample point layout of monitoring points provides a way for controling monitoring costs and improving monitoring accuracy. Using Daxing district in Beijing as our focal area we investigated the quality of cultivated land level monitoring and control point layout methods. We adopted a combination of theoretical modeling and empirical analysis. The total cultivated area of Daxing district is 62.44 ha. Through the analysis of natural and other index variation function, the variation of the radius of cultivated land level monitoring in Daxing is 3.72 km. Emplaced theory of monitoring point is 43 and the control range for each monitoring point is 10.86 sqare km. Considering soil types (subclasses), land use planning, the area ratio of each land natural level, the area ratio of each land-use level, land consolidation projects, and sample distribution uniformity, the number of reasonable layouts of the monitoring points was 46 to meet the quality and grade of the area of farmland monitoring precision. The variogram theoretical model of application value in the research quality of arable land level monitoring points in the layout process can improve the representativeness of monitoring points and the integrity of arable land quality monitoring information. Insufficient consideration to the agricultural conditions of the study area facilities: agricultural facilities change the value of α in the agricultural land classification, and can significantly improve the use levels of agricultural land, thereby affecting the entire study area of cultivated land use types. Further research is needed in this area. Daxing district is a plain area where the geological conditions are relatively homogeneous and the quality of cultivated land is also relatively concentrated. Therefore, the research methods presented in this paper should be further tested in regions containing complex geological conditions.
Keywords:Cultivated land quality  Monitoring  Variation of radius  Sample point layout
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