干旱半干旱能源开发区土地质量监测顶层设计Ⅰ野外监测网络布控
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摘要
土地与能源资源是社会经济发展的重要基础。能源开发区土地质量受开发活动影响较大,构建全面系统的土地质量监测体系对区域可持续发展十分重要。文中以鄂尔多斯为研究区,从野外监测网络布设的典型性、代表性和经济可行性要求出发,参考农用地质量等别变化监测、水土保持监测、生态监测等相关研究,结合区域能源开发现状,构建干旱半干旱能源开发区土地质量野外监测网络。根据研究区地形地貌、土壤、气候、水文等方面特征划定了7个监测控制区;在监测控制区下,依据能源开发矿区分布以及矿区规模选择出7个监测样区;在监测样区内,依据土地利用类型选择114个监测样点。文中在鄂尔多斯所构建的监测控制区-监测样区-监测样点多尺度结合的土地质量野外监测网络,为获取土地质量监测数据,促进区域土地可持续利用提供了坚实基础。
Land and energy resources are the important foundations for social and economic development. The land quality in energy development zones is greatly affected by mining activities. Therefore, establishing a comprehensive and systematic land quality monitoring system is very important for regional sustainable development. By taking Ordos as the research area, referring to research on monitoring of agricultural land quality, soil and water conservation monitoring, and ecological environment, and considering the current situation of energy development, this research established a field monitoring network for land quality in arid and semi-arid energy development zones on basis of typicality, representativeness, and economic feasibility requirements of field monitoring network deployment. According to the characteristics of topography, soil, climate, and hydrology, Ordos is divided into 7 monitoring control areas. In monitoring control areas, 7 monitoring sample areas are selected according to the distribution and scale of mining areas. 114 monitoring samples are selected according to the land use types in monitoring sample areas. This research constructs a multi-scale land quality field monitoring network, according to the order of monitoring control areas-monitoring sample areas-monitoring samples in Ordos, which can provide a solid foundation for obtaining land quality monitoring data and promoting sustainable land use.
Land and energy resources are the important foundations for social and economic development. The land quality in energy development zones is greatly affected by mining activities. Therefore, establishing a comprehensive and systematic land quality monitoring system is very important for regional sustainable development. By taking Ordos as the research area, referring to research on monitoring of agricultural land quality, soil and water conservation monitoring, and ecological environment, and considering the current situation of energy development, this research established a field monitoring network for land quality in arid and semi-arid energy development zones on basis of typicality, representativeness, and economic feasibility requirements of field monitoring network deployment. According to the characteristics of topography, soil, climate, and hydrology, Ordos is divided into 7 monitoring control areas. In monitoring control areas, 7 monitoring sample areas are selected according to the distribution and scale of mining areas. 114 monitoring samples are selected according to the land use types in monitoring sample areas. This research constructs a multi-scale land quality field monitoring network, according to the order of monitoring control areas-monitoring sample areas-monitoring samples in Ordos, which can provide a solid foundation for obtaining land quality monitoring data and promoting sustainable land use.
引文
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[11]王倩,尚月敏,冯锐,等.基于变异函数的耕地质量等别监测点布设分析-以四川省中江县和北京市大兴区为例[J].中国土地科学, 2012,26(8):80-86.
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[13]杨建宇,岳彦利,宋海荣,等.基于空间平衡法的县域耕地质量监测布样方法[J].农业工程学报,2015,31(24):274-280.
[14]王冰,胡续礼,徐志强,等.淮河流域水土保持监测分区[J]. 中国水土保持科学,2015,13(4):51-57.
[15]张玉华,冯明汉,张勇.长江流域片水土保持分区历程及三级区划成果的应用[J].中国水土保持,2016,37(1):6-10.
[16]杨伟,王剑,李璐,等.湖北省水土保持监测站点的空间优化布局[J].水土保持通报,2015,35(6):114-119.
[17]张甜,彭建,刘焱序,等.基于植被动态的黄土高原生态地理分区[J].地理研究,2015,34(9):1643-1661.
[18]郭慧,王兵,牛香.基于GIS的湖北省森林生态系统定位观测研究网络规划[J].生态学报,2015,35(20):6829-6837.
[19]江波,Wong C P.,陈媛媛,等.湖泊湿地生态服务监测指标与监测方法[J].生态学杂志, 2015,34(10):2956-2964.
[2]杨永均,张绍良,侯湖平,等.煤炭开采的生态效应及其地域分异[J].中国土地科学,2015,29(1):55-62.
[3]成金华,陈军,易杏花.矿区生态文明评价指标体系研究[J].中国人口·资源与环境,2013,23(2):1-10.
[4]毕如田,白中科,李华,等.基于RS和GIS技术的露天矿区土地利用变化分析[J].农业工程学报, 2008,24(12):201-204.
[5]刘剑锋,张可慧,马文才.基于高分一号卫星遥感影像的矿区生态安全评价研究-以井陉矿区为例[J]. 地理与地理信息科学,2015,31(5):121-126.
[6]张亮,李红阳,魏苹.无人机遥感技术在矿山地质环境监测治理中的应用研究[J].世界有色金属,2017,32(24):23-24.
[7]陈海滨.黄土高原矿区复垦土地土壤监测分析[J].中国水土保持,2015,36(12):77-78.
[8]王洪波.郧文聚,吴次芳,等.基于农用地分等的耕地产能监测体系研究[J].农业工程学报, 2008,24(4):122-126.
[9]余述琼,张蚌蚌,相慧,等.基于因素组合的耕地质量等级监测样点布控方法[J].农业工程学报,2014,30(24):288-297.
[10]孙亚彬,吴克宁,胡晓涛,等.基于潜力指数组合的耕地质量等级监测布点方法[J].农业工程学报, 2013,29(4):245-254.
[11]王倩,尚月敏,冯锐,等.基于变异函数的耕地质量等别监测点布设分析-以四川省中江县和北京市大兴区为例[J].中国土地科学, 2012,26(8):80-86.
[12]祝锦霞,徐保根,章琳云.基于半方差函数与等别的耕地质量监测样点优化布设方法[J].农业工程学报,2015,31(19):254-261.
[13]杨建宇,岳彦利,宋海荣,等.基于空间平衡法的县域耕地质量监测布样方法[J].农业工程学报,2015,31(24):274-280.
[14]王冰,胡续礼,徐志强,等.淮河流域水土保持监测分区[J]. 中国水土保持科学,2015,13(4):51-57.
[15]张玉华,冯明汉,张勇.长江流域片水土保持分区历程及三级区划成果的应用[J].中国水土保持,2016,37(1):6-10.
[16]杨伟,王剑,李璐,等.湖北省水土保持监测站点的空间优化布局[J].水土保持通报,2015,35(6):114-119.
[17]张甜,彭建,刘焱序,等.基于植被动态的黄土高原生态地理分区[J].地理研究,2015,34(9):1643-1661.
[18]郭慧,王兵,牛香.基于GIS的湖北省森林生态系统定位观测研究网络规划[J].生态学报,2015,35(20):6829-6837.
[19]江波,Wong C P.,陈媛媛,等.湖泊湿地生态服务监测指标与监测方法[J].生态学杂志, 2015,34(10):2956-2964.