Spatial-Temporal Evolution and Regional Differentiation Features of Urbanization in China from 2003 to 2013

被引:12
|
作者
Zhang, Peiyu [1 ]
Pan, Jianjun [1 ]
Xie, Longtao [1 ]
Zhou, Tao [2 ,3 ]
Bai, Haoran [1 ]
Zhu, Yanxiang [1 ]
机构
[1] Nanjing Agr Univ, Coll Resources & Environm Sci, Nanjing 210095, Jiangsu, Peoples R China
[2] UFZ Helmholtz Ctr Environm Res, Dept Computat Landscape Ecol, Permoserstr 15, D-04318 Leipzig, Germany
[3] Humboldt Univ, Dept Geog, Lab Landscape Ecol, Rudower Chaussee 16, D-12489 Berlin, Germany
基金
中国国家自然科学基金;
关键词
impervious surface; urban impervious area index; spatial-temporal evolution; regional differentiation features; SPECTRAL MIXTURE ANALYSIS; IMPERVIOUS SURFACE DYNAMICS; OLS NIGHTTIME LIGHT; MODIS TIME-SERIES; NTL URBAN INDEX; ECONOMIC-GROWTH; LARGE-SCALE; LAND-COVER; AREA; RUNOFF;
D O I
10.3390/ijgi8010031
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Quantifying the temporal and spatial patterns of impervious surfaces (IS) is important for assessing the environmental and ecological impacts of urbanization. In order to better extract IS, and to explore the divergence in urbanization in different regions, research on the regional differentiation features and regional change difference features of IS are required. To extract China's 2013 urban impervious area, we used the 2013 night light (NTL) data and the Moderate Resolution Imaging Spectroradiometer Normalized Difference Vegetation Index and enhanced vegetation index (EVI) temporal series data, and used three urban impervious surface extraction indexes-Human Settlements Index, Vegetation-Adjusted NTL Urban Index, and the EVI-adjusted NTL index (EANTLI)-which are recognized as the best and most widely used indexes for extracting urban impervious areas. We used the classification results of the Landsat-8 images as the benchmark data to visually compare and verify the results of the urban impervious area extracted by the three indexes. We determined that the EANTLI index better reflects the distribution of the impervious area. Therefore, we used the EANTLI index to extract the urban impervious area from 2003 to 2013 in the study area, and researched the spatial and temporal differentiation in urban IS. The results showed that China's urban IS area was 70,179.06 km(2), accounting for 0.73% of the country's land area in 2013, compared with 20,565.24 km(2) in 2003, which accounted for 0.21% of the land area, representing an increase of 0.52%. On a spatial scale, like economic development, the distribution of urban impervious surfaces was different in different regions. The overall performance of the urban IS percentage was characterized by a decreasing trend from Northwest China, Southwest China, the Middle Reaches of the Yellow River, Northeast China, the Middle Reaches of the Yangtze River, Southern Coastal China, and Northern Coastal China to Eastern Coastal China. On the provincial scale, the urban IS expansion showed considerable differences in different regions. The overall performance of the Urban IS Expansion index showed that the eastern coastal areas had higher values than the western inland areas. The cities or provinces of Beijing, Tianjin, Jiangsu, and Shanghai had the largest growth in impervious areas. Spatially and temporally quantifying the change in urban impervious areas can help to better understand the intensity of urbanization in a region. Therefore, quantifying the change in urban impervious area has an important role in the study of regional environmental and economic development, policy formulation, and the rational use of resources in both time and space.
引用
收藏
页数:16
相关论文
共 50 条
  • [1] Green urbanization efficiency of 18 urban agglomerations in China: Evidence from spatial-temporal evolution
    Lv, Xiaofei
    Wang, Lu
    [J]. FRONTIERS IN EARTH SCIENCE, 2023, 10
  • [2] Spatial-temporal dynamics and evolution of ecological security in a rapid urbanization city, Southwest China
    Dai, Yunchuan
    Diao, Yuying
    Dai, Chongyang
    Li, Yi
    Sun, Guiyan
    Zahoor, Babar
    Li, Dayong
    [J]. FRONTIERS IN ECOLOGY AND EVOLUTION, 2022, 10
  • [3] The spatial-temporal hierarchy of regional inequality of China
    Li, Yingru
    Wei, Y. H. Dennis
    [J]. APPLIED GEOGRAPHY, 2010, 30 (03) : 303 - 316
  • [4] The Impact of Urbanization on Carbon Emissions and Spatial-Temporal Differentiation Based on Meta-Analysis in China
    Li, Ang
    Li, Xiaofan
    Li, Yi
    Wang, Hui
    Zhang, Hong
    [J]. SUSTAINABILITY, 2022, 14 (22)
  • [5] Spatial-Temporal Evolution of Coupling Coordination Development between Regional Highway Transportation and New Urbanization: A Case Study of Heilongjiang, China
    Wu, Biao
    Jin, Xinzhu
    Li, Dan
    Wang, Baojie
    [J]. SUSTAINABILITY, 2023, 15 (23)
  • [6] Spatial-temporal assessment of regional labor market differentiation
    Dabrowski, Ireneusz
    Politaj, Adriana
    Wicher, Joanna
    Mach, Lukasz
    Fracz, Pawel
    [J]. INTERNATIONAL JOURNAL OF MANAGEMENT AND ECONOMICS, 2024, 60 (02) : 77 - 88
  • [7] Rural Industrial Integration and New Urbanization in China: Coupling Coordination, Spatial-Temporal Differentiation, and Driving Factors
    Wu, Yunqing
    Tang, Yuying
    Sun, Xuesong
    [J]. SUSTAINABILITY, 2024, 16 (08)
  • [8] Independent or Influential? Spatial-Temporal Features of Coordination Level between Urbanization Quality and Urbanization Scale in China and Its Driving Mechanism
    Shi, Yijun
    Zhu, Quan
    Xu, Lihua
    Lu, Zhangwei
    Wu, Yaqi
    Wang, Xiangbin
    Fei, Yang
    Deng, Jinyang
    [J]. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2020, 17 (05)
  • [9] Spatial-temporal evolution and regional difference decomposition of urban environmental governance efficiency in China
    Peng, Geng
    Zhang, Xiaodan
    Liu, Fang
    Ruan, Lijuan
    Tian, Kaiyou
    [J]. ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY, 2021, 23 (06) : 8974 - 8990
  • [10] Spatial-temporal evolution and classification of marginalization of cultivated land in the process of urbanization
    Li, Huan
    Wu, Yuzhe
    Huang, Xianjin
    Sloan, Mellini
    Skitmore, Martin
    [J]. HABITAT INTERNATIONAL, 2017, 61 : 1 - 8