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  余思汗,雷启云,王银,刘超,杨顺,王静.高精度静态人口空间分布研究——以银川市西夏区为例[J].震灾防御技术,2020,15(4):757-766, DOI:10.11899/zzfy20200410.

高精度静态人口空间分布研究——以银川市西夏区为例
摘要:    地震发生后,人口空间分布密度是决定救援力量部署的重要依据。然而,高精度人口空间分布数据存在获取和更新困难的问题,缺少有效的解决途径。以银川市西夏区为例,基于高空间分辨率遥感影像,通过建筑物解译与实地调查相结合的方式获取住宅建筑物信息,建立人口与住宅建筑物之间的关系模型,得到更客观真实的人口空间分布情况。研究结果表明,以高空间分辨率遥感影像解译住宅建筑物作为人口空间分布指示因子建模,得到的总体预测人口误差率为3.56%,人口平均相对误差率为9.19%,研究结果具有较高的可靠性,为震前灾害风险评估和震后灾情快速评估提供可靠的人口空间分布数据。
作者单位
余思汗 宁夏回族自治区地震局, 银川 750001 
雷启云 宁夏回族自治区地震局, 银川 750001 
王银 宁夏回族自治区地震局, 银川 750001 
刘超 宁夏回族自治区地震局, 银川 750001 
杨顺 宁夏回族自治区地震局, 银川 750001 
王静 宁夏回族自治区地震局, 银川 750001 
关  键  词:高空间分辨率遥感影像  银川市西夏区  建筑物  人口分布  评估
DOI:10.11899/zzfy20200410
基金项目:宁夏自然科学基金项目(2020AAC03439);中国地震局星火项目(XH19047);宁夏地震局科技创新团队(CX2019-1)
收稿日期:2020-07-07
作者简介:余思汗,男,生于1992年。助理工程师。主要从事地震应急与GIS技术应用研究。E-mail:251400967@qq.com
通讯作者:
Study on High-precision Static Population Spatial Distribution in Xixia District, Yinchuan
Abstract:      After the earthquake, the spatial distribution density of population is an important basis for the deployment of rescue forces. However, it is difficult to obtain and update high-precision population spatial distribution data, and there is a lack of effective ways to solve this problem, which leads to a lack of reliable basis for post-earthquake research. In this paper, taking Xixia District, Yinchuan as an example, based on high spatial resolution remote sensing images, obtaining residential buildings information by combining interpretation of buildings with on-the-spot investigation, the relationship model between the census population data and the building of residential buildings is established, and the more objective and real data of the population spatial distribution is obtained. The results show that the overall prediction error rate is 3.56% and the average relative error rate is 9.19% when the residential buildings are used as the indicator factor of population spatial distribution, which demonstrates the results are reliable and this method can provide reliable data of population spatial distribution for earthquake risk assessment and rapid post-earthquake loss assessment.
Keywords:  High-resolution remote sensing image  Buildings  Population  Xixia district  Yinchuan city  Assessment
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