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

卷:

第47卷

期数:

2025年第03期

页码:

455-469

栏目:

黄河流域生态保护和高质量发展专刊(上)

出版日期:

2025-05-15

文章信息/Info

Title:

Urban Expansion Pattern of Resource-based Cities Using Night Light Remote Sensing Data in Yellow River Basin—Taking Yulin City of Shaanxi Province, China as an Example

文章编号:

1672-6561(2025)03-0455-15

作者:

陈 超^1*; 宗 燕²; 李 昂³; 杨福芹¹; 王 果¹; 谢 瑞¹; 张盼盼¹; 刘振彬¹

(1.河南工程学院 土木工程学院,河南 郑州 451191; 2.中国石油大学(华东)海洋与空间信息学院,山东 青岛 266580; 3.北京建筑大学 测绘与城市空间信息学院,北京 102616)

Author(s):

CHEN Chao^1*;  ZONG Yan²;  LI Ang³;  YANG Fu-qin¹;  WANG Guo¹;  XIE Rui¹;  ZHANG Pan-pan¹;  LIU Zhen-bin¹

(1.College of Civil Engineering,Henan University of Engineering,Zhengzhou 451191,Henan,China; 2.College of Oceanography and Space Informatics,China University of Petroleum(East China),Qingdao 266580,Shandong,China; 3.School of Geomatics and Urban Spatial Informatics,Beijing University of Civil Engineering and Architecture,Beijing 102616,China)

关键词:

城市扩张;  资源型城市;  夜间灯光遥感;  伪不变特征法;  时空演变;  驱动力;  陕西

Keywords:

urban expansion;  resource-based city;  night light remote sensing;  pseudo invariant feature method;  spatial-temporal evolution;  driving force;  Shaanxi

分类号:

X22; TP79

DOI:

10.19814/j.jese.2024.12007

文献标志码:

A

摘要:

探究资源型城市扩张格局对于黄河流域高质量发展与人地协调至关重要。以陕西省榆林市为研究对象,利用2004～2021年长时序夜间灯光遥感数据,采用伪不变特征(PIF)法获取建成区空间分布信息,揭示榆林市建成区时空演变特征,选取经济发展、人口、交通、资源开发等指标分析榆林市城市扩张格局驱动力。结果表明:①2004～2021年榆林市建成区面积由338 km²增加至1 844 km²,呈现散点扩张、合并融合的扩张趋势,符合城市发展的不可逆变特征; ②榆林市城市扩张速度最大值出现在2019～2021年,为145 km²·年^-1,最小值出现在2004～2009年,为8.667 km²·年^-1; 扩张强度最大值出现在2009～2013年,为27.13%,最小值出现在2017～2019年,为0.82%; ③2013～2016年榆林市重心在东偏北方向移动距离达峰值(27 223.254 m),与榆林市煤炭产业发展布局相符; ④2004～2021年榆林市城市扩张格局主要驱动力是煤炭产量,继而构建包含煤炭产量、第一产业产值及其占GDP比重、第二产业产值及其占GDP比重、第三产业产值、固定资产投资额、社会消费品零售总额、道路面积、人口密度、常住人口数等指标的多因素拟合模型,拟合度R²为0.985,表明该模型可靠性较高。

Abstract:

It is crucial to explore the expansion patterns of resource-based cities for the man-land coordination and high-quality development in Yellow River Basin. Yulin, a typical resource-based city in Yellow River Basin, was selected as the research object; long-term night light remote sensing data were processed to obtain the spatial distribution information of Yulin's built-up areas from 2004 to 2021 using the pseudo-invariant feature(PIF)method; the spatial-temporal evolution characteristics of Yulin's built-up areas were revealed, and indicators such as economic development, population, transportation, and resource development were selected to analyze the driving forces of Yulin's expansion pattern from the perspectives of single and multiple factors. The results show that ① Yulin's built-up area increases from 338 km² to 1 844 km² from 2004 to 2021, showing a trend of diffusing expansion and coalescence, which is consistent with the irreversible characteristics of urban development; ② the maximum expansion speed of Yulin is 145 km² per year from 2019 to 2021, the minimum is 8.667 km² per year from 2004 to 2009; the maximum expansion intensity is 27.13% from 2009 to 2013, and the minimum is 0.82% from 2017 to 2019; ③ the distance of the center of gravity shift in Yulin reaches its peak of 27 223.254 m from 2013 to 2016, with a direction of east by north, which aligns with the development layout of coal industry in Yulin; ④ the main driving force of the expansion pattern of Yulin from 2004 to 2021 is coal production, and then a multi-factor fitting model is constructed, which includes coal production, primary industrial product and the proportion in the GDP, secondary industrial product and the proportion in the GDP, tertiary industrial product, fixed asset investment, social consumption goods retail sales, road area, population density, and the number of permanent residents, etc.; the coefficient of determination R² is 0.985, indicating that the model has high reliability.

参考文献/References:

[1] 唐 宇,薛东前,宋永永,等.黄土高原资源型城市经济规模-结构-效率耦合协调特征及影响因素[J].地理学报,2025,80(3):793-810.
TANG Yu,XUE Dong-qian,SONG Yong-yong,et al.Coupling Coordination and Influencing Factors of Economic Scale-structure-efficiency of Resource-based Cities on the Loess Plateau[J].Acta Geographica Si-nica,2025,80(3):793-810.
[2] 王双明,魏江波,宋世杰,等.黄河流域陕北煤炭开采区厚砂岩对覆岩采动裂隙发育的影响及采煤保水建议[J].煤田地质与勘探,2022,50(12):1-11.
WANG Shuang-ming,WEI Jiang-bo,SONG Shi-jie,et al.Influence of Thick Sandstone on Development of Overburden Mining Fissures in Northern Shaanxi Coal Mining Area of Yellow River Basin and Suggestions on Water-preserved Coal Mining[J].Coal Geo-logy & Exploration,2022,50(12):1-11.
[3] 彭建兵,兰恒星,钱 会,等.宜居黄河科学构想[J].工程地质学报,2020,28(2):189-201.
PENG Jian-bing,LAN Heng-xing,QIAN Hui,et al.Scientific Research Framework of Livable Yellow Ri-ver[J].Journal of Engineering Geology,2020,28(2):189-201.
[4] 孙 斌,徐 渭,薛建春,等.黄河流域城市群城镇化与生态环境耦合协调预测[J].地球科学与环境学报,2021,43(5):887-896.
SUN Bin,XU Wei,XUE Jian-chun,et al.Prediction of Coupling and Coordination Between Urbanization and Eco-environment of Urban Agglomerations in Yellow River Basin,China[J].Journal of Earth Sciences and Environment,2021,43(5):887-896.
[5] 王亚楠,苏明明,董航宇.中国资源型与非资源型城市扩张驱动机制差异[J].资源科学,2024,46(6):1226-1237.
WANG Ya-nan,SU Ming-ming,DONG Hang-yu.Differences in the Driving Mechanisms of Urban Spatial Expansion Between Resource-based and Non-resource-based Cities in China[J].Resources Science,2024,46(6):1226-1237.
[6] ALMULHIM A I,SHARIFI A S,AINA Y A,et al.Charting Sustainable Urban Development Through a Systematic Review of SDG11 Research[J].Nature Ci-ties,2024,1:677-685.
[7] HE T T,SONG H P,CHEN W Q.Recognizing the Transformation Characteristics of Resource-based Ci-ties Using Night-time Light Remote Sensing Data:Evidence from 126 Cities in China[J].Resources Policy,2023,85:104013.
[8] HAN J Z,HU Z Q,SAJADI P,et al.Evaluating Urban Development in China's Resource-based Cities:A New Perspective Using Nighttime Light Data[J].International Journal of Digital Earth,2024,17(1):2349747.
[9] HE T T,SONG H P.A Novel Approach to Assess the Urban Land-use Efficiency of 767 Resource-based Cities in China[J].Ecological Indicators,2023,151:110298.
[10] 王毓乾,宋雪鹏,何 悦,等.顾及灯光强度区间的夜间灯光指数构建及其与社会参数的相关性分析[J].地球信息科学学报,2024,26(7):1717-1732.
WANG Yu-qian,SONG Xue-peng,HE Yue,et al.Construction of Nighttime Light Index Considering Light Intensity Range and Its Correlation Analysis with Social Parameters[J].Journal of Geo-information Science,2024,26(7):1717-1732.
[11] 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].National Remote Sensing Bulletin,2021,25(1):342-364.
[12] LEVIN N,KYBA C C M,ZHANG Q L,et al.Remote Sensing of Night Lights:A Review and An Outlook for the Future[J].Remote Sensing of Environment,2020,237:111443.
[13] PENG J,LIN H X,CHEN Y Q,et al.Spatiotemporal Evolution of Urban Agglomerations in China During 2000-2012:A Nighttime Light Approach[J].Landscape Ecology,2020,35(2):421-434.
[14] XIE Y H,WENG Q H,FU P.Temporal Variations of Artificial Nighttime Lights and Their Implications for Urbanization in the Conterminous United States,2013-2017[J].Remote Sensing of Environment,2019,225:160-174.
[15] MILESI C,ELVIDGE C D,NEMANI R R,et al.Assessing the Impact of Urban Land Development on Net Primary Productivity in the Southeastern United States[J].Remote Sensing of Environment,2003,86(3):401-410.
[16] JIA M M,ZENG H H,CHEN Z Q,et al.Nighttime Light in China's Coastal Zone:The Type Classification Approach Using SDGSAT-1 Glimmer Imager[J].Remote Sensing of Environment,2024,305:114104.
[17] ZHENG Q M,SETO K C,ZHOU Y Y,et al.Nighttime Light Remote Sensing for Urban Applications:Progress,Challenges,and Prospects[J].ISPRS Journal of Photogrammetry and Remote Sensing,2023,202:125-141.
[18] 李德仁,余涵若,李 熙.基于夜光遥感影像的“一带一路”沿线国家城市发展时空格局分析[J].武汉大学学报(信息科学版),2017,42(6):711-720.
LI De-ren,YU Han-ruo,LI Xi.The Spatial-temporal Pattern Analysis of City Development in Countries Along the Belt and Road Initiative Based on Nighttime Light Data[J].Geomatics and Information Scien-ce of Wuhan University,2017,42(6):711-720.
[19] 李艺霖,赵先超.长株潭城市群生态环境与城镇化时空耦合协调关系:基于遥感生态指数和夜间灯光指数[J].地球科学与环境学报,2024,46(3):307-320.
LI Yi-lin,ZHAO Xian-chao.Spatio-temporal Coupling Coordination Relationship Between Ecological Environment and Urbanization in Changsha-Zhuzhou-Xiangtan Urban Agglomeration,China:Based on Remote Sensing Ecological Index and Nighttime Lighting Index[J].Journal of Earth Sciences and Environment,2024,46(3):307-320.
[20] 奥 勇,毋冰龙,白召弟,等.基于类NPP-VIIRS夜间灯光数据的粤港澳大湾区城市建成区时空动态特征[J].地球科学与环境学报,2022,44(3):513-523.
AO Yong,WU Bing-long,BAI Zhao-di,et al.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[J].Journal of Earth Sciences and Environment,2022,44(3):513-523.
[21] 张文斌,张志斌,周 翼,等.基于夜间灯光数据的兰西城市群时空演变特征[J].遥感信息,2020,35(6):38-43.
ZHANG Wen-bin,ZHANG Zhi-bin,ZHOU Yi,et al.Temporal-spatial Evolution Characteristics of Lanxi Urban Agglomeration Based on Night Light Data[J].Remote Sensing Information,2020,35(6):38-43.
[22] 刘少阳,陈佐旗,施开放,等.夜间灯光遥感揭示21世纪以来中国西北部地区城市化演化格局与过程[J].遥感学报,2024,28(6):1497-1514.
LIU Shao-yang,CHEN Zuo-qi,SHI Kai-fang,et al.Night Time Light Remote Sensing Reveals the Pattern and Process of Urbanization Evolution in Northwest China Since the 21st Century[J].National Remote Sensing Bulletin,2024,28(6):1497-1514.
[23] 李妍林,阮久莉,王艺博,等.煤炭工业资源-环境-经济耦合协调分析:以榆林市为例[J].环境工程技术学报,2022,12(1):260-266.
LI Yan-lin,RUAN Jiu-li,WANG Yi-bo,et al.Analysis on the Coupling Coordination of Resource-environment-economy of Coal Industry:A Case of Yulin City[J].Journal of Environmental Engineering Technology,2022,12(1):260-266.
[24] WU Y Z,SHI K F,CHEN Z Q,et al.Developing Improved Time-series DMSP-OLS-like Data(1992-2019)in China by Integrating DMSP-OLS and SNPP-VIIRS[J].IEEE Transactions on Geoscience and Remote Sensing,2022,60:4407714.
[25] SHI K F,CUI Y Z,LIU S R,et al.Global Urban Land Expansion Tends to be Slope Climbing:A Remotely Sensed Nighttime Light Approach[J].Earth's Futu-re,2023,11(4):e2022EF003384.
[26] SHI K F,LIU G F,ZHOU L,et al.Satellite Remote Sensing Data Reveal Increased Slope Climbing of Urban Land Expansion Worldwide[J].Landscape and Urban Planning,2023,235:104755.
[27] 李沐森,钱雨果,郭辰萌,等.基于路网斑块的城市建成区制图新方法[J].生态学报,2024,44(24):10989-11003.
LI Mu-sen,QIAN Yu-guo,GUO Chen-meng,et al.A New Method of Urban Built-up Area Mapping Based on Road Network Patches[J].Acta Ecologica Sinica,2024,44(24):10989-11003.
[28] WEI Y,LIU H X,SONG W,et al.Normalization of Time Series DMSP-OLS Nighttime Light Images for Urban Growth Analysis with Pseudo Invariant Features[J].Landscape and Urban Planning,2014,128:1-13.
[29] ZHAI W X,JIANG Z D,MENG X F,et al.Satellite Monitoring of Shrinking Cities on the Globe and Containment Solutions[J].iScience,2022,25(6):104411.
[30] ZHENG Q M,WENG Q H,WANG K.Characterizing Urban Land Changes of 30 Global Megacities Using Nighttime Light Time Series Stacks[J].ISPRS Journal of Photogrammetry and Remote Sensing,2021,173:10-23.
[31] 王美玲.基于夜间灯光数据的西北地区建成区时空变化及驱动力分析[D].太原:太原理工大学,2020.
WANG Mei-ling.Spatial-temporal Change and Driving Force Analysis of Built-up Area in Northwest China Based on Night Light Data[D].Taiyuan:Tai-yuan University of Technology,2020.
[32] WU B,WANG Y,HUANG H L,et al.Potential of SDGSAT-1 Nighttime Light Data in Extracting Urban Main Roads[J].Remote Sensing of Environment,2024,315:114448.
[33] XIAO W,WANG Z,ZHANG R Y,et al.The “Golden Ten Years”:Underground Coal Mining and Its Impacts on Land Use and Subsequent Social Problems:A Case Study on the Jining City Region,China[J].International Journal of Mining and Mineral Engineering,2017,8(1):19-34.
[34] 邓世成,吴玉鸣.低碳城市试点政策对中国资源型城市绿色转型发展的影响[J].中国人口·资源与环境,2024,34(6):65-79.
DENG Shi-cheng,WU Yu-ming.Impact of Low-carbon City Pilot Policy on the Green Transformation and Development of China's Resource-based Cities[J].China Population,Resources and Environment,2024,34(6):65-79.
[35] 中国新闻网.强降雨致陕西榆林19.59万人受灾,直接经济损失1.7亿[EB/OL].(2017-07-27)[2024-10-15].https:∥www.Chinanews.com.cn/gn/2017/07-27/8289510.shtml.
Chinanews.Heavy Rainfall Affected 195 900 People in Yulin City,Shaanxi Province,Causing Direct Economic Losses of 170 Million Yuan[EB/OL].(2017-07-27)[2024-10-15].https:∥www.Chinanews.com.cn/gn/2017/07-27/8289510.shtml.
[36] 宋永永,庞先峰,唐 宇,等.能源富集区社会-生态系统韧性演化与机理:以榆林市为例[J].经济地理,2024,44(1):32-44.
SONG Yong-yong,PANG Xian-feng,TANG Yu,et al.Evolution and Mechanism of Socio-ecological System Resilience in Energy-rich Areas:A Case Study of Yulin City[J].Economic Geography,2024,44(1):32-44.
[37] 向先迪,刘甜甜.基于SBM模型和Tobit模型的资源型城市绿色发展效率与影响因素研究:以陕西省为例[J].中国矿业,2024,33(3):34-42.
XIANG Xian-di,LIU Tian-tian.Research on the Efficiency and Influencing Factors of Green Development in Resource-based Cities Based on SBM and Tobit Models:A Case Study in Shaanxi Province[J].China Mining Magazine,2024,33(3):34-42.
[38] 王文棋,刘兆德,赵 虎.中国资源型城市转型发展全景知识图谱:演进脉络、热点追踪及未来展望[J].地理科学,2024,44(5):785-795.
WANG Wen-qi,LIU Zhao-de,ZHAO Hu.Panoramic Knowledge Graph of Transformation and Development of Resource-based Cities in China:Evolution,Hotspots Tracking and Future Prospects[J].Scientia Geographica Sinica,2024,44(5):785-795.
[39] 赵 文.基于二元结构的中国增长核算:引入劳动就业率的理论和经验分析[J].中国社会科学,2023(12):39-58,200.
ZHAO Wen.China's Dual Structure-based Growth Accounting:Theoretical and Empirical Analysis of Introducing the Labor Employment Rate[J].Social Sciences in China,2023(12):39-58,200.
[40] 熊志建,赵 红,刘秀丽.我国资源型城市转型研究与思考:以山西省大同市为例[J].中国科学院院刊,2024,39(12):2120-2130.
XIONG Zhi-jian,ZHAO Hong,LIU Xiu-li.Research and Reflection on Transformation of Resource-based Cities in China:A Case Study of Datong City,Shanxi Province[J].Bulletin of Chinese Academy of Scien-ces,2024,39(12):2120-2130.
[41] 靳文娟,石水莲,边振兴,等.辽宁省资源枯竭型城市转型发展时空动态变化分析[J].生态经济,2024,40(3):102-111.
JIN Wen-juan,SHI Shui-lian,BIAN Zhen-xing,et al.Spatiotemporal Dynamic Change of Transition Deve-lopment of Resource-exhausted Cities in Liaoning Province[J].Ecological Economy,2024,40(3):102-111.
[42] 蒋 兵,付华健,张力元.黄河流域绿色科技创新竞争力时空分异演变及障碍因素[J].地球科学与环境学报,2024,46(1):14-24.
JIANG Bing,FU Hua-jian,ZHANG Li-yuan.Spatiotemporal Variation and Obstacle Factors of Green Te-chnology Innovation Competitiveness in Yellow River Basin,China[J].Journal of Earth Sciences and Environment,2024,46(1):14-24.
[43] 陈 超,胡振琪,高 远,等.中国井工煤矿区采动岩土体协同形变研究进展[J].煤炭学报,2024,DOI:10.13225/j.cnki.jccs.2024.0251.
CHEN Chao,HU Zhen-qi,GAO Yuan,et al.Research Progress in Synergistic Deformation Between Rock Mass and Soil Due to Underground Coal Mining in China[J].Journal of China Coal Society,2024,DOI:10.13225/j.cnki.jccs.2024.0251.
[44] JIANG L L,WU Y Z,WANG J R,et al.A Nonparametric Approach for Detecting Urban Polycentric Spa-tial Structure in China Using Remote Sensing Nighttime Light and Point of Interest Data[J].GIScience & Remote Sensing,2024,61(1):2383461.
[45] LOU K K,LI M M,LI F S,et al.Integrating Local-global Structural Interaction Using Siamese Graph Neural Network for Urban Land Use Change Detection from VHR Satellite Images[J].IEEE Transactions on Geoscience and Remote Sensing,2024,62:4413317.

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备注/Memo

备注/Memo:

收稿日期:2024-12-02; 修回日期:2025-03-09
基金项目:国家自然科学基金项目(42007424); 河南省高等学校重点科研项目(24B420004,25A420004)
*通信作者:陈 超(1989-),男,河南开封人,副教授,工学博士,E-mail:chch337@163.com。

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