基于NPP-VIIRS夜光遥感数据的京津冀城市群空间结构变化分析

doi:10.13474/j.cnki.11-2246.2022.0042

测绘通报 ›› 2022, Vol. 0 ›› Issue (2): 50-55.doi: 10.13474/j.cnki.11-2246.2022.0042

基于NPP-VIIRS夜光遥感数据的京津冀城市群空间结构变化分析

李昱^1,2,3, 陈蜜^1,2, 付迎春⁴

1. 首都师范大学城市环境过程与数字模拟国家重点实验室培育基地, 北京 100048;
2. 首都师范大学三维信息获取与应用教育部重点实验室, 北京 100048;
3. 应急管理部国家自然灾害防治研究院, 北京 100085;
4. 华南师范大学地理科学学院, 广东广州 510631

收稿日期:2021-03-04 修回日期:2021-11-25 发布日期:2022-03-11
通讯作者: 陈蜜。E-mail:mierc@163.com
作者简介:李昱(1995-),女,硕士,研究方向为城市遥感与地理信息系统。E-mail:993259583@qq.com
基金资助:
国家重点研发计划（2017YFB0503800）；国家自然科学基金（41201419；42071399）

Analysis of the changes in the Beijing-Tianjin-Hebei urban agglomeration's spatial structure using NPP-VIIRS data

LI Yu^1,2,3, CHEN Mi^1,2, FU Yingchun⁴

1. Base of State Key Lab of Urban Environmental Processes and Digital Modeling, Capital Normal University, Beijing 100048, China;
2. Key Lab of 3D Information Acquisition and Application, Capital Normal University, Beijing 100048, China;
3. National Institute of Natural Hazard, Ministry of Emergency Management of China, Beijing 100085, China;
4. School of Geography, South China Normal University, Guangzhou 510631, China

Received:2021-03-04 Revised:2021-11-25 Published:2022-03-11

摘要/Abstract

摘要： 本文基于NPP-VIIRS夜光遥感数据对京津冀城市群2015—2019年的空间结构进行分析，通过灯光值统计、城市位序-规模法则、空间关联测度等方法探究京津冀城市群空间结构及时空变化特征，结合城市总体规划浅析时空变化的原因。结果表明：①京津冀城市群灯光总量整体呈上升趋势，北京市和天津市的灯光增长率最高，其次为河北省廊坊市和石家庄市。②灯光集中分布在高位序城市北京和天津，中小城市不够发达。从时间序列上看，中小型城市快速发展，京津冀各城市有趋于ZIPF理想状态分布的态势。③随着区域交通一体化的推进，城市间的关联度整体增强，北京市与天津市的总体关联度占主导地位，但北部城市与中南地区的交通联系不足，关联度较弱。

关键词: 京津冀城市群, 夜光遥感, 城市结构变化, 城市位序-规模法则, 空间关联

Abstract: This paper accesses NPP-VIIRS data to analyze the Beijing-Tianjin-Hebei urban agglomeration's spatial structure from 2015 to 2019, through data statistics, city rank-scale rule, spatial correlation intensity. Also, combined with the city master plan and other documents, discuss the temporal and spatial change. The results showed that: ①The total amount of nighttime light in the Beijing-Tianjin-Hebei urban agglomeration show an overall upward trend. Beijing and Tianjin had the highest lightning growth rates, followed by Langfang and Shijiazhuang. ②The lights are concentrated in the high-ranking cities Beijing and Tianjin. Small and medium-sized towns are underdeveloped. However, in terms of time series, small and medium-sized towns are developing rapidly, the lights of cities were tending towards ZIPF distribution. ③With the advancement of regional transportation integration, the degree of correlation between cities had generally increased. The overall connections between Beijing and Tianjin were dominant. The traffic connection between the northern towns and the central-southern regions is insufficient so that the correlation is weak.

Key words: Beijing-Tianjin-Hebei urban agglomeration, nighttime light remote sensing, spatial structure change, city rank-scale rule, spatial correlation

中图分类号:

P237

李昱, 陈蜜, 付迎春. 基于NPP-VIIRS夜光遥感数据的京津冀城市群空间结构变化分析[J]. 测绘通报, 2022, 0(2): 50-55.

LI Yu, CHEN Mi, FU Yingchun. Analysis of the changes in the Beijing-Tianjin-Hebei urban agglomeration's spatial structure using NPP-VIIRS data[J]. Bulletin of Surveying and Mapping, 2022, 0(2): 50-55.

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基于NPP-VIIRS夜光遥感数据的京津冀城市群空间结构变化分析

Analysis of the changes in the Beijing-Tianjin-Hebei urban agglomeration's spatial structure using NPP-VIIRS data

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