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Expansion of Impervious Surfaces and Their Driving Forces in Highly Urbanized Cities in Kyrgyzstan

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  • Gulkaiyr Omurakunova

    (State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China
    Key Laboratory of GIS & RS Application Xinjiang Uygur Autonomous Region, Urumqi 830011, China
    University of Chinese Academy of Sciences, Beijing 100049, China
    Kyrgyz National University Named after Jusup Balasagyn, 547 Frunze, Bishkek 720033, Kyrgyzstan)

  • Anming Bao

    (State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China
    Key Laboratory of GIS & RS Application Xinjiang Uygur Autonomous Region, Urumqi 830011, China
    University of Chinese Academy of Sciences, Beijing 100049, China)

  • Wenqiang Xu

    (State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China
    Key Laboratory of GIS & RS Application Xinjiang Uygur Autonomous Region, Urumqi 830011, China
    University of Chinese Academy of Sciences, Beijing 100049, China)

  • Eldiiar Duulatov

    (Institute of Geology, National Academy of Sciences of the Kyrgyz Republic, 30 Erkindik, Bishkek 720040, Kyrgyzstan)

  • Liangliang Jiang

    (State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China
    Key Laboratory of GIS & RS Application Xinjiang Uygur Autonomous Region, Urumqi 830011, China
    University of Chinese Academy of Sciences, Beijing 100049, China
    Department of Geography, Ghent University, 9000 Ghent, Belgium)

  • Peng Cai

    (State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China
    University of Chinese Academy of Sciences, Beijing 100049, China
    Department of Geography, Ghent University, 9000 Ghent, Belgium)

  • Farkhod Abdullaev

    (University of Chinese Academy of Sciences, Beijing 100049, China
    Key Laboratory of Water Cycle and Utilization in Arid Zone, Urumqi 830011, China
    Ministry of Water Resources of the Republic of Uzbekistan, Scientific Research Institute of Irrigation and Water Problems, Tashkent 100187, Uzbekistan)

  • Vincent Nzabarinda

    (State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China
    Key Laboratory of GIS & RS Application Xinjiang Uygur Autonomous Region, Urumqi 830011, China
    University of Chinese Academy of Sciences, Beijing 100049, China)

  • Khaydar Durdiev

    (State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China
    Key Laboratory of GIS & RS Application Xinjiang Uygur Autonomous Region, Urumqi 830011, China
    University of Chinese Academy of Sciences, Beijing 100049, China
    Ministry of Water Resources of the Republic of Uzbekistan, Scientific Research Institute of Irrigation and Water Problems, Tashkent 100187, Uzbekistan)

  • Makhabat Baiseitova

    (Kyrgyz National University Named after Jusup Balasagyn, 547 Frunze, Bishkek 720033, Kyrgyzstan)

Abstract

The expansion of urban areas due to population increase and economic expansion creates demand and depletes natural resources, thereby causing land use changes in the main cities. This study focuses on land cover datasets to characterize impervious surface (urban area) expansion in select cities from 1993 to 2017, using supervised classification maximum likelihood techniques and by quantifying impervious surfaces. The results indicate an increasing trend in the impervious surface area by 35% in Bishkek, 75% in Osh, and 15% in Jalal-Abad. The overall accuracy (OA) for the image classification of two different datasets for the three cities was between 82% and 93%, and the kappa coefficients (KCs) were approximately 77% and 91%. The Landsat images with other supplementary data showed positive urban growth in all of the cities. The GDP, industrial growth, and urban population growth were driving factors of impervious surface sprawl in these cities from 1993 to 2017.Landscape Expansion Index (LEI) results also provided good evidence for the change of impervious surfaces during the study period. The results emphasize the idea of applying future planning and sustainable urban development procedures for sustainable use of natural resources and their management, which will increase life quality in urban areas and environments.

Suggested Citation

  • Gulkaiyr Omurakunova & Anming Bao & Wenqiang Xu & Eldiiar Duulatov & Liangliang Jiang & Peng Cai & Farkhod Abdullaev & Vincent Nzabarinda & Khaydar Durdiev & Makhabat Baiseitova, 2020. "Expansion of Impervious Surfaces and Their Driving Forces in Highly Urbanized Cities in Kyrgyzstan," IJERPH, MDPI, vol. 17(1), pages 1-20, January.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:1:p:362-:d:305409
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    References listed on IDEAS

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    Cited by:

    1. Miaomiao Liu & Guishan Chen & Guanhua Li & Yingyu Huang & Kaiwei Luo & Changfa Zhan, 2023. "Landscape Evolution and Its Driving Forces in the Rapidly Urbanized Guangdong–Hong Kong–Macao Greater Bay Area, a Case Study in Zhuhai City, South China," Sustainability, MDPI, vol. 15(17), pages 1-23, August.

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