Relief degree of land surface and population distribution of mountainous areas in China
Liu Ying1,2; Deng Wei1; Song Xue-qian1,2,3
刊名JOURNAL OF MOUNTAIN SCIENCE
2015-03-01
卷号12期号:2页码:518-532
关键词Land surface Relief degree Population density Population pressure Population distribution Mountain China
ISSN号1672-6316
通讯作者DENG Wei
英文摘要Evaluation on the population pressure in the mountainous areas is a necessary condition for the protection and good governance. The evaluation depends on accurate population density assessment. Traditional methods used to calculate population density often adopt the administrative region as a scale for statistical analysis. These methods did not consider the effects of the relief degree of land surface (RDLS) on the population distribution. Therefore they cannot accurately reflect the degree of population aggregation, especially in mountainous areas. To explore this issue further, we took the mountainous areas of China as the research area. China has A total area of 666 km(2) can be classified as mountainous area, accounting for 69.4% of the country's total landmass. The data used in this research included the digital elevation model (DEM) of China at a scale of 1:1,000,000, National population density raster data, the DEM and the national population density raster data. First, we determined the relief degree of land surface (RDLS). Next, we conducted a correlation analysis between the population distribution and the RDLS using the Statistical Package for Social Science (SPSS). Based on the correlation analysis results and population distribution, this new method was used to revise the provincial population density of the mountainous areas. The revised results were used to determine the population pressure of different mountainous areas. Overall, the following results were obtained: (1) The RDLS was low in most mountainous areas (with a value between 0 and 3.5) and exhibited a spatial pattern that followed the physiognomy of China; (2) The relationship between the RDLS and population density were logarithmic, with an R-2 value up to 0.798 (p < 0.05), and the correlation decreased from east to west; (3) The difference between the revised population density (RPD) and the traditional population density (PD) was larger in the southeastern region of China than in the northwestern region; (4) In addition, compared with traditional results, the revised result indicated that the population pressure was larger. Based on these results, the following conclusions were made: (1) the revised method for estimating population density that incorporates the RDLS is reasonable and practical, (2) the potential population pressure in the southeastern mountainous areas is substantial, (3) the characteristics of the terrain in the high mountainous areas are important for the scattered distribution of the population, and (4) the population distribution of mountainous areas in China should be guided by local conditions, such as social, economic, and topographic conditions.
WOS标题词Science & Technology ; Life Sciences & Biomedicine
类目[WOS]Environmental Sciences
研究领域[WOS]Environmental Sciences & Ecology
关键词[WOS]SUITABILITY
收录类别SCI
语种英语
WOS记录号WOS:000351664200020
内容类型期刊论文
源URL[http://ir.imde.ac.cn/handle/131551/7985]  
专题成都山地灾害与环境研究所_Journal of Mountain Science _Journal of Mountain Science-2015_Vol12 No.2
成都山地灾害与环境研究所_山区发展研究中心
作者单位1.Chinese Acad Sci, Inst Mt Hazards & Environm, Chengdu 610041, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
3.Chengdu Univ Informat Technol, Chengdu 610041, Peoples R China
推荐引用方式
GB/T 7714
Liu Ying,Deng Wei,Song Xue-qian. Relief degree of land surface and population distribution of mountainous areas in China[J]. JOURNAL OF MOUNTAIN SCIENCE,2015,12(2):518-532.
APA Liu Ying,Deng Wei,&Song Xue-qian.(2015).Relief degree of land surface and population distribution of mountainous areas in China.JOURNAL OF MOUNTAIN SCIENCE,12(2),518-532.
MLA Liu Ying,et al."Relief degree of land surface and population distribution of mountainous areas in China".JOURNAL OF MOUNTAIN SCIENCE 12.2(2015):518-532.
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