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

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...

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Main Authors: Gulkaiyr Omurakunova, Anming Bao, Wenqiang Xu, Eldiiar Duulatov, Liangliang Jiang, Peng Cai, Farkhod Abdullaev, Vincent Nzabarinda, Khaydar Durdiev, Makhabat Baiseitova
Format: Article
Language:English
Published: MDPI AG 2020-01-01
Series:International Journal of Environmental Research and Public Health
Subjects:
Online Access:https://www.mdpi.com/1660-4601/17/1/362
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spelling doaj-c6507e2ca9794be2b50fdd71eddebc902020-11-25T01:38:34ZengMDPI AGInternational Journal of Environmental Research and Public Health1660-46012020-01-0117136210.3390/ijerph17010362ijerph17010362Expansion of Impervious Surfaces and Their Driving Forces in Highly Urbanized Cities in KyrgyzstanGulkaiyr Omurakunova0Anming Bao1Wenqiang Xu2Eldiiar Duulatov3Liangliang Jiang4Peng Cai5Farkhod Abdullaev6Vincent Nzabarinda7Khaydar Durdiev8Makhabat Baiseitova9State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, ChinaState Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, ChinaState Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, ChinaInstitute of Geology, National Academy of Sciences of the Kyrgyz Republic, 30 Erkindik, Bishkek 720040, KyrgyzstanState Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, ChinaState Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, ChinaUniversity of Chinese Academy of Sciences, Beijing 100049, ChinaState Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, ChinaState Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, ChinaKyrgyz National University Named after Jusup Balasagyn, 547 Frunze, Bishkek 720033, KyrgyzstanThe 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.https://www.mdpi.com/1660-4601/17/1/362impervious surfacesurbandriving factorssupervised classificationlandscape expansion index
collection DOAJ
language English
format Article
sources DOAJ
author Gulkaiyr Omurakunova
Anming Bao
Wenqiang Xu
Eldiiar Duulatov
Liangliang Jiang
Peng Cai
Farkhod Abdullaev
Vincent Nzabarinda
Khaydar Durdiev
Makhabat Baiseitova
spellingShingle Gulkaiyr Omurakunova
Anming Bao
Wenqiang Xu
Eldiiar Duulatov
Liangliang Jiang
Peng Cai
Farkhod Abdullaev
Vincent Nzabarinda
Khaydar Durdiev
Makhabat Baiseitova
Expansion of Impervious Surfaces and Their Driving Forces in Highly Urbanized Cities in Kyrgyzstan
International Journal of Environmental Research and Public Health
impervious surfaces
urban
driving factors
supervised classification
landscape expansion index
author_facet Gulkaiyr Omurakunova
Anming Bao
Wenqiang Xu
Eldiiar Duulatov
Liangliang Jiang
Peng Cai
Farkhod Abdullaev
Vincent Nzabarinda
Khaydar Durdiev
Makhabat Baiseitova
author_sort Gulkaiyr Omurakunova
title Expansion of Impervious Surfaces and Their Driving Forces in Highly Urbanized Cities in Kyrgyzstan
title_short Expansion of Impervious Surfaces and Their Driving Forces in Highly Urbanized Cities in Kyrgyzstan
title_full Expansion of Impervious Surfaces and Their Driving Forces in Highly Urbanized Cities in Kyrgyzstan
title_fullStr Expansion of Impervious Surfaces and Their Driving Forces in Highly Urbanized Cities in Kyrgyzstan
title_full_unstemmed Expansion of Impervious Surfaces and Their Driving Forces in Highly Urbanized Cities in Kyrgyzstan
title_sort expansion of impervious surfaces and their driving forces in highly urbanized cities in kyrgyzstan
publisher MDPI AG
series International Journal of Environmental Research and Public Health
issn 1660-4601
publishDate 2020-01-01
description 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.
topic impervious surfaces
urban
driving factors
supervised classification
landscape expansion index
url https://www.mdpi.com/1660-4601/17/1/362
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