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机构地区:[1]石家庄学院资源与环境系,河北石家庄050035 [2]中国地质大学(北京)土地科学技术学院,北京100038
出 处:《河北师范大学学报(自然科学版)》2014年第1期96-101,共6页Journal of Hebei Normal University:Natural Science
基 金:河北省自然科学基金(D2010001952);石家庄学院2010年校级课题
摘 要:以石家庄城市生态系统为研究对象,基于多时相的遥感影像,采用人工神经网络分类方法,提取研究区土地利用类型及变化信息,采用层次分析法,确定各类用地的生态风险强度参数,构建区域土地利用综合生态风险指数,结合GIS空间分析技术,编制石家庄市土地利用生态风险程度空间分布图.研究表明:石家庄市区1993,2000,2007,2010年的综合生态风险指数分别为0.25,0.27,0.30,0.30,区域生态风险程度整体增加.生态风险等级由市中心向周边郊区呈明显圈层递减分布趋势.建设开发活动是导致局部区域生态风险较高的显著因素.The ecological risk based on land use/cover change is of great significance to the sustainable development of city. In this paper,land use change of Shijiazhuang city during the period from 1993 to 2010 was analyzed using artificial neural network classification method. Ecological risk weight values of different land use patterns were determined by analytic hierarchy process and integrated ecological risk indices of dif- ferent periods were constructed. Then GIS spatial analysis was combined to make the map of ecological risk distribution. The results indicated that the ecological risk indices of building area increased,while those of cultivated land reduced from 1993 to 2012. Ecological risk indices decreased from urban center to surround- ing suburbs with circle layers, and construction and development activities are significant factors resulting in higher regional ecological risk.
分 类 号:F301.2[经济管理—产业经济] K901[历史地理—人文地理学]
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