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祁连山黑河山区土地适宜性评价
引用本文:王海军,孔祥冬,张勃.祁连山黑河山区土地适宜性评价[J].冰川冻土,2016,38(5):1440-1446.
作者姓名:王海军  孔祥冬  张勃
作者单位:1. 成都理工大学 工程技术学院, 四川 乐山 614000; 2. 西北师范大学 地理与环境学院, 甘肃 兰州 730070
基金项目:国家自然科学基金;四川省教育厅自然科学研究项目;乐山市科技局重点项目
摘    要:以黑河山区为研究区域,利用Logic回归模型和空间分析技术对山区土地利用进行适宜性评价.以2011年土地利用现状数据作为背景值,构建气温、降水、海拔、坡度、人口密度、水系、交通网、村镇分布8种因子的评价指标体系.采用多尺度训练的方法确定适宜性评价最佳模拟尺度,对土地利用数据和评价因子进行Logic回归分析,得到评价因子对土地利用适宜性的影响程度.利用Spatial Analyst模块对对黑河山区土地适宜性进行评价,为区域土地资源合理利用提供科学参考.结果表明:(1)适宜性评价最佳尺度为210 m(ROC=0.79).(2)Logic回归结果显示,坡度、气温(βTemp=1.11)、降水对林地、草地的影响程度较高,同时距道路距离、人口密度(βPop=-0.555)对其分布也有重要影响.(3)山区土地利用适宜性排序为:Max林地=Max耕地 > Max建设用地 > Max裸地 > Max草地 > Max水域,林地与耕地最高,适宜性达到0.99.

关 键 词:黑河山区  适宜性评价  Logic回归模型  空间分析  
收稿时间:2016-04-09
修稿时间:2016-08-20

Suitability evaluation of the lands in Heihe mountainous areas in the Qilian Mountains
WANG Haijun,KONG Xiangdong,ZHANG Bo.Suitability evaluation of the lands in Heihe mountainous areas in the Qilian Mountains[J].Journal of Glaciology and Geocryology,2016,38(5):1440-1446.
Authors:WANG Haijun  KONG Xiangdong  ZHANG Bo
Institution:1. Engineering and Technical College of Chengdu University of Technology, Leshan 614000, Sichuan, China; 2. College of Geography and Environmental Science, Northwest Normal University, Lanzhou 730070, China
Abstract:Logic regression model and spatial analysis technology were used to evaluate the suitability of land use in the Heihe mountain areas. An index system of evaluation was established, which included temperature, precipitation, digital elevation model, slope, population, water system, communication network and distribution of towns based on the land use data in 2011. The multi-scale training method was used to determine the best evaluation scale. Then, the contributions of all the evaluation factors were calculated based on the logic regression analysis. Spatial Analyst Module was used to evaluate the suitability of land use. The results show that:(1) the best scale of evaluation is 210 m (ROC=0.79); (2) slope and temperature (βTemp=1.11) play a very important role in the change of forest and grassland. In addition, the distance to roads and the density of population have a significant impact, with a β of -0.555; (3) the suitability ranks as forest land=cultivated land > settlements > nudation > grassland > water areas, with the value of suitability is 0.99 for forestland and cultivated land.
Keywords:Heihe mountainous areas  suitability evaluation  Logic regression model  spatial analysis  
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