摘要
选取哈尔滨市为研究区,以2015年地理国情普查成果和2016年基础性地理国情监测成果为数据源,根据国情数据中不同地表覆盖分类对应的透水特性提取不透水面,对哈尔滨市不透水面的空间分布格局和变化特征进行分析,选取平均工资、距城市道路距离、距医院的距离、距铁路的距离、距学校的距离、平均气温、全年降水量、土壤等8个因子,利用地理探测器模型,探测不透水面扩张率的空间分异驱动因子,研究结果表明:2015年至2016年哈尔滨市不透水面面积呈扩张趋势,居民收入水平和距城市道路距离等人为因素是造成不透水面扩张空间分异性的主要原因。
In this paper, we select Harbin as a research area. and use the Geographical Condition Survey results in 2015 and the Basic Geographical Condition Monitoring results in 2016 as the data source. In order to analyze the spatial distribution pattern and change characteristics of impermeable surface in Harbin, the impervious surface was extracted based on the water permeability characteristics of different land cover classification in the national condition data. The geodetic detector model is used to detect the driving forces of impermeable surface expansion rate by selecting the following factors such as the average wage, the distance from the city road, the distance from the hospital, the distance from the railway, the distance from the school, the average temperature, annual precipitation, soil. The results show that the imperfect water area in Harbin is expanding from 2015 to 2016, and human factors such as residents＇ income level and distance from urban roads are the main reasons for the spatial heterogeneity of impermeable surface expansion.
作者
吴迪
李冰
杨爱玲
WU Di;LI Bing;YANG Ailing(Heilongjiang Geomatics Center of NASMG,Harbin 150081,China)
出处
《测绘与空间地理信息》
2018年第9期16-19,23,共5页
Geomatics & Spatial Information Technology
关键词
不透水面
地理探测器
地理国情监测
impervious surface
geographic detector
geographical condition monitoring
