首页 | 本学科首页   官方微博 | 高级检索  
     检索      


Analysing urban sprawl and land consumption patterns in major capital cities in the Himalayan region using geoinformatics
Institution:1. Institut für Geographie, Universität Augsburg, D-86159 Augsburg, Germany;2. Indo-German Centre of Sustainability, Indian Institute of Technology Madras, Chennai 600 036, India;3. Department of Hydrology and Water Resources Management, Institute for Natural Resource Conservation, Kiel University, D-24118 Kiel, Germany;4. Environment and Water Resource Engineering Division, Department of Civil Engineering, Indian Institute of Technology Madras, Chennai 600 036, India;1. Department of Remote Sensing & GIS, North Orissa University, India;2. Department of Environmental Science, Central University of Rajasthan, Bandarsindri, 305817 Ajmer, India;1. Department of Remote Sensing and GIS, Vidyasagar University, Midnapore, India;2. Department of Geography, Faculty of Natural Sciences, Jamia Millia Islamia, New Delhi, India;3. Centre of Atmosphere, Ocean and Space Studies, Institute of Interdisciplinary Studies, University of Allahabad, Uttar Pradesh, India;1. School of Spatial Planning and Development, Faculty of Engineering, Aristotle University of Thessaloniki Campus, 1st Floor, 54124, Greece;2. School of Spatial Planning and Development, Faculty of Engineering, Aristotle University of Thessaloniki Campus, 54124, Greece
Abstract:In the present study, spatio-temporal urban sprawl and land consumption patterns were analysed in seven capital cities located in the Himalayan region during 1972, 1991 and 2015 using multi-temporal satellite images. The study exhibits that capital Himalayan cities experienced rapid growth (830.92%) with high population increase (333.45%) during the observation period (1972–2015). The significant urban growth was observed in the cities of western and middle Himalayan region viz., Srinagar (9.36 km2–142.19 km2), Kathmandu (11.38 km2–92.58 km2) and Dehradun (4.1 km2–50.09 km2) in the higher altitudes due to remarkable increase in the population (0.5–1 million persons) during 1972–2015. On the contrary, Itanagar (7.19 km2), Gangtok (7.09 km2), Shimla (3.04 km2) and Thimphu (2.93 km2) observed less urban growth with moderate to low population growth (i.e., 0.05 to 0.15 million persons). The Shannon entropy based study exhibits that the cities viz., Kathmandu, Gangtok and Itanagar observed comparatively more dispersed urban growth during later period (1991–2015) as compared to the previous period (1972–1991) whereas, the remaining cities observed comparatively less dispersed urban growth during later period. The temporal land consumption pattern exhibits low density urban growth in Srinagar, Dehradun and Kathmandu, as observed with decrease in population density and increasing land consumption during 1972–2015 as compared to other cities, wherein urban densification was evident with increase in population density and decrease in land consumption. The cities in central and western Himalayan region observed high urban growth as compared to cities in eastern Himalayan region. The result shows that the capital cities contributes insignificant proportion (0.5%; 314 km2) of urban area in Himalayan region and accommodating large (ca. 4 million) population during 2015. The study indicates unplanned and haphazard growth in all capital Himalayan cities, leading towards urban densification as well as dispersion in the periphery with varied pattern and intensity. The specific trends and patterns of urban and population growth are governed by geographical as well as socio-economic-political factors at local to regional scale. The high population pressure induced higher risk to the urban residents as well as constrained urban growth over higher vulnerable zones. The study necessitates implementation of suitable urban planning methods considering socio-economic and physico-cultural characteristics of the region.
Keywords:Urban growth  Himalayan cities  Shannon Entropy  Geoinformatics
本文献已被 ScienceDirect 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号