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作 者:孙玉莲[1,2] 赵永涛[1] 曹伟超[1,2] 于慧[1] 马月伟[1,2]
机构地区:[1]中国科学院水利部成都山地灾害与环境研究所,四川成都610041 [2]中国科学院研究生院,北京100049
出 处:《安徽农业科学》2011年第19期11705-11707,11710,共4页Journal of Anhui Agricultural Sciences
基 金:中国科学院成都山地灾害与环境研究所知识创新资助项目(1100001078)
摘 要:[目的]定量分析山区人口分布与环境要素的关系。[方法]以川滇黔接壤区作为研究区,将人口密度和居民点密度作为人口分布指标,分析山区人口分布与海拔高度、地形起伏度、土地利用、道路网以及河网等环境要素的定量关系。[结果]山区海拔高度、地形起伏度与居民点密度和人口密度之间均呈明显的负相关,与人口密度的相关系数分别为-0.731和-0.743;居民点密度随着距河流距离的增加而减小,而人口密度与河网密度之间相关性不明显;耕地和建设用地的居民点密度较高,人口密度与建设用地和耕地面积比例之间呈明显的正相关,相关系数分别为0.895和0.726;距离道路越远,居民点密度越小,人口密度与路网密度呈明显的正相关,相关系数达0.823。[结论]该研究为进一步开展该区人口数据空间化奠定了基础。[Objective] The aim was to analyze the relationship between population distribution and environment factors in mountain area quantitatively.[Method]Taking the contiguous area of Sichuan,Yunnan and Guizhou Province as study object,population density and residential point density were chosen as the indexes of population distribution,and the quantitative relationship between population distribution and environment factors(including altitude,topography relief amplitude,land use,road network and river network) in mountain area was analyzed.[Result]Altitude and topography relief amplitude in mountain area had obvious negative correlation with population density and residential point density,and the correlation coefficients with population density were-0.731 and-0.743;residential points were fewer in the region far from rivers,but there was no obvious correlation between population density and river network density;residential point density was higher in cultivated land and construction land,and population density had obvious positive correlation with the area proportions of cultivated land and construction land,with the correlation coefficients of 0.895 and 0.726;the more distant from road,the smaller residential point density,and there was obvious positive correlation between population density and road network density,with the correlation coefficient of 0.823.[Conclusion]The study could lay a foundation for the further development of Spatiality of population data in study region.
分 类 号:X176[环境科学与工程—环境科学]
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