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《地球科学与环境学报》[ISSN:1672-6561/CN:61-1423/P]

卷:

第44卷

期数:

2022年第03期

页码:

513-523

栏目:

环境与可持续发展

出版日期:

2022-05-15

文章信息/Info

Title:

Temporal-spatial Changes of Urban Built-up Area Expansion in Guangdong-Hong Kong-Macao Greater Bay Area, China Based on NPP-VIIRS-like Night Light Data

文章编号:

1672-6561(2022)03-0513-11

作者:

奥 勇¹; 2; 毋冰龙²; 3; 白召弟²; 3; 王晓峰¹; 2; 陈子娴⁴

(1. 长安大学 土地工程学院,陕西 西安 710054; 2. 长安大学 陕西省土地整治重点实验室,陕西 西安 710054; 3. 长安大学 地球科学与资源学院,陕西 西安 710054; 4. 西南大学 地理科学学院,重庆 400715)

Author(s):

AO Yong¹; 2;  WU Bing-long²; 3;  BAI Zhao-di²; 3;  WANG Xiao-feng¹; 2;  CHEN Zi-xian⁴

(1. School of Land Engineering, Chang'an University, Xi'an 710054, Shaanxi, China; 2. Shaanxi Key Laboratory of Land Reclamation Engineering, Chang'an University, Xi'an 710054, Shaanxi, China; 3. School of Earth Science and Resources, Chang'an University, Xi'an 710054, Shaanxi, China; 4. School of Geographical Sciences, Southwest University, Chongqing 400715, China)

关键词:

城市建成区;  夜间灯光数据;  不透水面;  比较法;  时空特征;  粤港澳大湾区

Keywords:

urban built-up area;  night light data;  impervious surface;  comparison method;  temporal-spatial characteristic;  Guangdong-Hong Kong-Macao Greater Bay Area

分类号:

X22; TP75

DOI:

10.19814/j.jese.2021.12040

文献标志码:

A

摘要:

随着人口增长与经济发展,快速准确地获取城市建成区扩张信息,并对其时空特征进行分析,对于今后城市可持续发展具有重要意义。基于2000～2018年类NPP-VIIRS夜间灯光数据的大尺度不透水面指数提取粤港澳大湾区城市不透水面,并基于统计数据比较法得到城市建成区,对粤港澳大湾区以及各城市的建成区扩张进行时空分析。结果表明:①类NPP-VIIRS夜间灯光数据实现了对城市建成区的高精度提取,可为城市长时间序列的时空变化监测提供新的数据基础; ②粤港澳大湾区城市建成区由2000年的1 279.00 km²增加到2018年的4 730.25 km²,广州、深圳、东莞的建成区扩张最为明显,分别增加了793.50、812.75、1 027.50 km²; 在空间上,粤港澳大湾区城市建成区扩张主要发生在各城市之间的交界地带,逐步形成了佛山—广州—东莞—深圳—香港大型城市群核心建成区,西部地区发展相对较慢; ③粤港澳大湾区城市建成区重心2000～2018年由东莞转移到广州。总之,粤港澳大湾区城市建成区在2000～2018年扩张整体呈现由快变慢、东快西慢的特点。

Abstract:

With the growth of population and the development of economy, it is of great significance for the sustainable development of cities in the future to quickly and accurately obtain the expansion information of urban built-up areas, and to analyze their temporal and spatial characteristics. Based on the large-scale impervious surface index(LISI)of NPP-VIIRS-like night light data from 2000 to 2018, the urban impervious surface in Guangdong-Hong Kong-Macao Greater Bay Area was extracted, and the urban built-up areas were obtained by statistical data comparison method, and the expansion of urban built-up areas in Guangdong-Hong Kong-Macao Greater Bay Area were analyzed in time and space. The results show that NPP-VIIRS-like night light data can extract the urban built-up area with high precision, which can provide a new data basis for monitoring the temporal and spatial changes of urban long-time series; the urban built-up area increases from 1 279.00 km² in 2000 to 4 730.25 km² in 2018. Guangzhou, Shenzhen and Dongguan have the most obvious urban built-up areas with an increase of 793.50, 812.75 and 1 027.50 km², respectively. In space, the expansion of urban built-up area mainly occurs in the border areas between cities, gradually forming the core urban built-up area of Foshan-Guangzhou-Dongguan-Shenzhen-Hong Kong, and the development in the west is relatively slow. The gravity center of the urban built-up area transfers from Dongguan to Guangzhou during 2000-2018. The expansion of the urban built-up area shows the characteristics of fast-growing in 2000 and slow-growing in 2018, fast-growing in the east and slow-growing in the west of Guangdong-Hong Kong-Macao Greater Bay Area.

参考文献/References:

[1] MORMILE D.China's Living Laboratory in Urbanization[J].Science,2008,319:740-743.
[2] 杨 角.中国绿色城镇化发展水平评价及实现路径研究[D].西安:西北大学,2020.
YANG Jiao.The Research on the Development Level Evaluation and Realization Path of Green Urbanization in China[D].Xi'an:Northwest University,2020.
[3] 冯珊珊,樊风雷.2006～2016年粤港澳大湾区城市不透水面时空变化与驱动力分析[J].热带地理,2018,38(4):536-545.
FENG Shan-shan,FAN Feng-lei.Spatial-temporal Changes of Impervious Surface in the Guangdong-Hong Kong-Macao Greater Bay Area During 2006-2016[J].Tropical Geography,2018,38(4):536-545.
[4] 何春阳,史培军,李景刚,等.基于DMSP/OLS夜间灯光数据和统计数据的中国大陆20世纪90年代城市化空间过程重建研究[J].科学通报,2006,51(7):856-861.
HE Chun-yang,SHI Pei-jun,LI Jing-gang,et al.Restoring Urbanization Process in China in the 1990s by Using Non-radiance-calibrated DMSP/OLS Nighttime Light Imagery and Statistical Data[J].Chinese Science Bulletin,2006,51(7):856-861.
[5] 谈明洪,吕昌河.以建成区面积表征的中国城市规模分布[J].地理学报,2003,58(2):285-293.
TAN Ming-hong,LV Chang-he.Distribution of China City Size Expressed by Urban Built-up Area[J].Acta Geographica Sinica,2003,58(2):285-293.
[6] 黄 昕,李家艺,杨 杰,等.Landsat卫星观测下的30 m全球不透水面年度动态与城市扩张模式(1972～2019)[J].中国科学:地球科学,2021,51(11):1894-1906.
HUANG Xin,LI Jia-yi,YANG Jie,et al.30 m Global Impervious Surface Area Dynamics and Urban Expansion Pattern Observed by Landsat Satellites:From 1972 to 2019[J].Science China:Earth Sciences,2021,51(11):1894-1906.
[7] FRIMPONG B F,MOLKENTHIN F.Tracking Urban Expansion Using Random Forests for the Classification of Landsat Imagery(1986-2015)and Predicting Urban/Built-up Areas for 2025:A Study of the Kumasi Metropolis,Ghana[J].Land,2021,10(1):44.
[8] TAUBENBOCK H,ESCH T,FELBIER A,et al.Monitoring Urbanization in Mega Cities from Space[J].Remote Sensing of Environment,2011,117:162-176.
[9] XU T,MA T,ZHOU C H,et al.Characterizing Spatio-temporal Dynamics of Urbanization in China Using Time Series of DMSP/OLS Night Light Data[J].Remote Sensing,2014,6(8):7708-7731.
[10] ELVIDGE C D,BAUGH K E,KIHN E A,et al.Mapping City Lights with Nighttime Data from the DMSP Operational Linescan System[J].Photogrammetry and Remote Sensing,1997,63(6):727-734.
[11] 刘 源,李月臣.基于夜间灯光数据的城市中心区域提取与分析:以重庆市主城区为例[J].中国资源综合利用,2019,37(3):160-164.
LIU Yuan,LI Yue-chen.Urban Centers Extraction and Analysis Using Night Time Light Date:A Case Study of Main Urban Areas of Chongqing[J].China Resources Comprehensive Utilization,2019,37(3):160-164.
[12] 刘权毅,詹庆明,李建松,等.珞珈一号夜间灯光影像在建设用地提取中的应用:以武汉市为例[J].武汉大学学报(信息科学版),2021,46(1):30-39.
LIU Quan-yi,ZHAN Qing-ming,LI Jian-song,et al.Extracting Built-up Areas Using Luojia-1A Nighttime Light Imageries in Wuhan,China[J].Geomatics and Information Science of Wuhan University,2021,46(1):30-39.
[13] 余柏蒗,王丛笑,宫文康,等.夜间灯光遥感与城市问题研究:数据、方法、应用和展望[J].遥感学报,2021,25(1):342-364.
YU Bai-lang,WANG Cong-xiao,GONG Wen-kang,et al.Nighttime Light Remote Sensing and Urban Studies:Data,Methods,Applications,and Prospects[J].Journal of Remote Sensing,2021,25(1):342-364.
[14] BAUER S E,WAGNER S E,BURCH J,et al.A Case-referent Study:Light at Night and Breast Cancer Risk in Georgia[J].International Journal of Health Geographics,2013,12:23-23.
[15] CHEN Z Q,YU B L,YANG C S,et al.An Extended Time Series(2000-2018)of Global NPP-VIIRS-like Nighttime Light Data from a Cross-sensor Calibration[J].Earth System Science Data,2021,13:889-906.
[16] 王 婷,王 鹏,李雨鸿,等.辽宁省NDVI时空变化特征分析研究[J].环境科学与管理,2021,46(1):53-57.
WANG Ting,WANG Peng,LI Yu-hong,et al.Temporal and Spatial Variation Analysis of NDVI in Liao-ning Province[J].Environmental Science and Ma-nagement,2021,46(1):53-57.
[17] 王 炜,刘海新,高叶鹏,等.基于地理探测器的太行山NDVI时空变化及其驱动力分析[J].江西农业学报,2021,33(6):98-104.
WANG Wei,LIU Hai-xin,GAO Ye-peng,et al.Ana-lysis of Spatiotemporal Changes and Driving Forces of NDVI in Taihang Mountain Based on Geographic Detector[J].Acta Agriculturae Jiangxi,2021,33(6):98-104.
[18] GUO W,LU D S,WU Y L,et al.Mapping Impervious Surface Distribution with Integration of SNNP VIIRS-DNB and MODIS NDVI Data[J].Remote Sensing,2015,7(9):12459-12477.
[19] 陆永权,冼宇阳,刘桂林.基于1998～2017年夜间灯光数据的粤港澳大湾区核心区城市建成区时空动态研究[J].生态与农村环境学报,2021,37(9):1147-1157.
LU Yong-quan,XIAN Yu-yang,LIU Gui-lin.Spatial and Temporal Dynamics of Urban Build-up Area in the Core Area of Guangdong-Hong Kong-Macao Greater Bay Area Based on Nighttime Lighting Data During 1998-2017[J].Journal of Ecology and Rural Environment,2021,37(9):1147-1157.
[20] 郑莉莉,邓楚雄,王 莹.基于多源灯光数据的中原城市群城市扩张时空变化分析[J].河南大学学报(自然科学版),2021,51(4):401-411.
ZHENG Li-li,DENG Chu-xiong,WANG Ying.Research on Spatial-temporal Changes of Urban Sprawl in Central Plains Urban Agglomeration Based on Multi-source Nighttime Light Data[J].Journal of Henan University(Natural Science),2021,51(4):401-411.
[21] 王彦开,赵渺希,荣丽华.基于夜间灯光数据的呼包鄂城市群空间扩张特征及驱动力研究[J].地域研究与开发,2021,40(3):43-49.
WANG Yan-kai,ZHAO Miao-xi,RONG Li-hua.Spatial Expansion Characteristics and Driving Forces of Hohhot-Baotou-Ordos Urban Agglomeration Based on Night Light Data[J].Areal Research and Development,2021,40(3):43-49.
[22] 蓝斐芜,付波霖,何宏昌,等.基于多时相夜间灯光和光学遥感的广西城市格局时空动态变化[J].桂林理工大学学报,2021,http:∥kns.cnki.net/kcms/detail/45.1375.n.20210304.1551.006.html.
LAN Fei-wu,FU Bo-lin,HE Hong-chang,et al.Spatiotemporal Dynamics of Urban Patterns in Guangxi Based on Multi-temporal Night-light and Optical Remote Sensing Data[J].Journal of Guilin University of Technology,2021,http:∥kns.cnki.net/kcms/detail/45.1375.n.20210304.1551.006.html.
[23] 董鹤松,李仁杰,李建明,等.基于DMSP-OLS与NPP-VIIRS整合数据的中国三大城市群城市空间扩展时空格局[J].地球信息科学学报,2020,22(5):1161-1174.
DONG He-song,LI Ren-jie,LI Jian-ming,et al.Study on Urban Spatiotemporal Expansion Pattern of Three First-class Urban Agglomerations in China Derived from Integrated DMSP-OLS and NPP-VIIRS Nighttime Light Data[J].Journal of Geo-information Science,2020,22(5):1161-1174.
[24] 罗 婧,黄铁兰,吴桂华,等.基于夜光遥感的粤港澳大湾区城市空间格局变化分析[J].智能城市,2020,6(1):1-3.
LUO Jing,HUANG Tie-lan,WU Gui-hua,et al.Analysis of Urban Spatial Pattern Change in Guangdong-Hong Kong-Macao Greater Bay Area Based on Luminous Remote Sensing[J].Intelligent City,2020,6(1):1-3.
[25] 邓昊键,李恒凯,熊永柱,等.近20年粤港澳大湾区城市群时空演化格局分析[J].世界地理研究,2020,29(6):1181-1189.
DENG Hao-jian,LI Heng-kai,XIONG Yong-zhu,et al.Temporal-spatial Evolution of Urban Agglomeration in Guangdong-Hong Kong-Macao Greater Bay Area in Recent 20 Years[J].World Regional Studies,2020,29(6):1181-1189.
[26] 卢吟咏.粤港澳大湾区城市群建设用地演变特征与调控机制研究[D].广州:广东工业大学,2019.
LU Yin-yong.Expansion of Urban Agglomeration in Guangdong,Hong Kong and Macao Greater Bay Area Based on Nighttime Light Data[D].Guangzhou:Guangdong University of Technology,2019.

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备注/Memo

备注/Memo:

收稿日期:2021-12-22; 修回日期:2022-02-22
基金项目:国家自然科学基金项目(31670549); 陕西省土地整治重点实验室开放基金项目(2018-JC08);
自然资源部退化及未利用土地整治工程重点实验室开放基金项目(SXDJ2019-8)
作者简介:奥 勇(1965-),男,陕西富平人,副教授,工学博士,E-mail:aoyong@chd.edu.cn。

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更新日期/Last Update: 2022-06-01