Analysis of Pattern Changes of Population Distribution and Economic Development in Jiangxi Province Based on Relief Degree of Land Surface
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    Abstract:

    [Objective] The relief degree of land surface(RDLS) is one of the key factors that influence the population distribution and economic development. Investigation about the pattern changes of population distribution and economic development is of importance to give a quantified prospective harmonization of population, resources utilization and environment conservation. [Methods] The RDLS of Jiangxi Province was extracted based on a 90 m resolution digital elevation model(DEM) using focal function under ArcGIS software, and then the features of RDLS, and its correlation with population and GDP were analyzed. [Results] (1) The RDLS in Jiangxi Province was prevailed by low value, e. g. 88% counties less than 0.5. Spatially, the outliers of Jiangxi Province had higher RDLS with the exceptions of the central and north parts, showing a "U" shape of pattern. (2) Overall, the concentration degrees of population and GDP were larger in the north and smaller in the south of this province. Spatially, the population in this province clearly assembled in the north with flat relief pattern. The province's GDP continuously concentrated in the Poyang Lake Ecologic Economic Zone. (3) During 2000 to 2010, population concentration degree increased from 59.23% to 60.47%, accordingly economic degree increased from 72.80% to 75.49% in the regions with the RDLS less than 0.25. [Conclusion] There was a strong negative correlation between the RDLS and the distribution of population and economy. As the RDLS increased, the concentration degrees of population and economy declined, and vise verse.

    Reference
    [1] 封志明,张丹,杨艳昭.中国分县地形起伏度及其与人口分布和经济发展的相关性[J].吉林大学社会科学学报,2011,51(1):146-151.
    [2] 涂汉明,刘振东.中国地势起伏度最佳统计单元的求证[J].湖北大学学报:自然科学版,1990,12(3):266-271.
    [3] 于慧,邓伟,刘邵权.地势起伏度对三峡库区人口及经济发展水平的影响[J].长江流域资源与环境,2013,22(6):686-690.
    [4] 斯皮里顿诺夫.地貌制图学[M].北京:地质出版社,1956:81-84.
    [5] 谢晓议,李月臣,曾咺.重庆市地形起伏度及其与人口、经济的相关性研究[J].资源开发与市场,2014, 30(6):656-659.
    [6] 刘新华,杨勤科,汤国安.中国地形起伏度的提取及在水土流失定量评价中的应用[J].水土保持通报, 2001,21(1):57-59.
    [7] 陈建军,张树文,李洪星,等.吉林省土壤侵蚀敏感性评价[J].水土保持通报,2005, 25(3):49-53.
    [8] 齐清文,何大明,邹秀萍,等.云南沿边境地带生态环境3S监测、评价与调控研究[J].地理科学进展,2005,24(2):1-12.
    [9] 南秋菊,华珞.国内外土壤侵蚀研究进展[J].首都师范大学学报:自然科学版,2003,24(2):86-95.
    [10] 陈志明.论中国地貌图的研制原则、内容与方法:以1:400万全国地貌图为例[J].地理学报,1993,48(2):105-113.
    [11] Pachauri A K, Gupta P V, Chander R. Landslide zoning in a part of the Garhwal Himalayas[J]. Environmental Geology, 1998, 36(3/4):25-334.
    [12] Aldo C. A GIS-based automated procedure for landslide susceptibility mapping by the Conditional Analysis method:The Baganza valley case study(Italian Northern Apennines)[J]. Environ Geol, 2006,50(7):941-961.
    [13] Paulo C F R V. Geo-environmental mapping using physiographic analysis:Constraints on the evaluation of land instability and groundwater pollution hazards in the Metropolitan District of Campinas, Brazil[J]. Environ Earth Science, 2010,61(8):1657-1675.
    [14] 张艺,任志远.关中-天水经济区人居环境适宜性评价与人口分布[J].干旱区资源与环境,2011,25(9):46-50.
    [15] 唐飞,陈曦,程维明,等.基于DEM的准噶尔盆地及其西北山区地势起伏度研究[J].干旱区地理,2006,29(3):388-392.
    [16] 刘振东,涂汉明.中国地势起伏度统计单元的初步研究[J].热带地理,1989(1):31-38.
    [17] 封志明,杨艳昭,游珍,等.基于分县尺度的中国人口分布适宜度研究[J].地理学报,2014,69(6):723-737.
    [18] 封志明,唐焰,杨艳昭,等.中国地形起伏度及其与人口分布的相关性[J].地理学报,2007,62(10):1073-1082.
    [19] 游珍,封志明,姜鲁光,等.澜沧江-湄公河流域人口分布及其与地形的关系[J].山地学报,2014,32(1):21-29.
    [20] 王玲,同小娟.基于变点分析的地形起伏度研究[J].地理与地理信息科学,2007,23(6):65-67.
    [21] 周自翔,李晶,任志远.基于GIS的关中-天水经济区地形起伏度与人口分布研究[J].地理科学,2012,32(8):951-957.
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肖池伟,刘影,李鹏.基于地形起伏度的江西省人口-经济格局变化分析[J].水土保持通报英文版,2016,36(2):222-227

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History
  • Received:June 04,2015
  • Revised:August 04,2015
  • Online: May 06,2016