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地震 ›› 2007, Vol. 27 ›› Issue (1): 47-54.

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基于TM影像的上海地区人口密度数字模拟

张桂芳1, 单新建1, 尹京苑2   

  1. 1.中国地震局地质研究所地震动力学国家重点实验室, 北京 100029;
    2.上海市地震局, 上海 200062
  • 收稿日期:2006-06-05 修回日期:2006-07-25 出版日期:2007-03-31 发布日期:2021-10-29
  • 作者简介:张桂芳(1976-), 女, 黑龙江依安人, 2000年获硕士学位, 主要从事遥感、 地理信息系统在地震科学中应用等研究。
  • 基金资助:
    国家自然科学基金项目(40471100); 上海市科委重点课题(042512030-2)

Simulating Population Density Based on TM Images Taking Beijing as an Example

ZHANG Gui-fang1, SHAN Xin-jian1, YIN Jing-yuan2   

  1. 1. State Key Laboratory of Earthquake Dynamics, institute of Geology, CEA, Beijing 100029;
    2. China Earthquake Administration of Shanghai Municipality, Shanghai 200062, China
  • Received:2006-06-05 Revised:2006-07-25 Online:2007-03-31 Published:2021-10-29

摘要: 人口主要分布在居住区内, 而以人工建筑物为主要特征的居住区正是人类生命财产受地震灾害威胁最大的区域, 所以人口在居住区内的空间分布模拟对震害调查与评估具有独特的作用。 该文利用上海地区TM影像提取出居住区影像, 然后对其进行1 km的格网重采样, 并统计每个格网内的居住面积; 同时根据城镇人口距离衰减加幂指数模型生成人口分布影响参数, 最后生成人口密度图。 结果表明, 上海地区农村区域的人口密度小于5000人/ km2, 城镇区域人口密度大于5000人/km2, 上海中心区人口密度呈现从1023人/km2到49159人/km2的非均匀分布状态。

关键词: 人口密度, 格网, TM影像, 居住区影像, 上海地区

Abstract: Population is mainly distributed in the residential districts, and the residential districts characterized with artificial buildings is of the greatest threat to the lives and property affected by the earthquake disaster, so the spatial distribution simulation of population in the dwelling districts has a unique significance for earthquake disaster investigation. This paper extracts residential districts from TM images of the Shanghai region, and re-sampling with 1 km grid and then statistics of the living area of each grid is made; Rooted in distance attenuation function, a power exponential model based on the scale of district and the distance form the center of district. The Results show that the population density of rural areas of Shanghai less than 5000 persons/km2, and more than 5000 persons/km2 in towns; the population density of the central part of the city ranges from 1023 persons/km2 to 49159 persons/km2, showing non-homogeneous distribution state.

Key words: Population density, Grid, TM images, Images of residential districts, Shanghai region

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