Patterns of Historical and Future Urban Expansion in Nepal

被引:48
作者
Rimal, Bhagawat [1 ,2 ]
Sloan, Sean [3 ]
Keshtkar, Hamidreza [4 ]
Sharma, Roshan [5 ]
Rijal, Sushila [6 ]
Shrestha, Uttam Babu [7 ,8 ]
机构
[1] Tribhuvan Univ, Coll Appl Sci CAS Nepal, Kathmandu 44613, Nepal
[2] Chinese Acad Sci, State Key Lab Remote Sensing Sci, Inst Remote Sensing & Digital Earth RADI, 20 Datun Rd, Beijing 100101, Peoples R China
[3] James Cook Univ, Ctr Trop Environm & Sustainabil Sci, Coll Sci & Engn, Cairns, Qld 4870, Australia
[4] Univ Tehran, Fac Nat Resources, Dept Arid & Mt Reg Reclamat, Karaj 3158777871, Iran
[5] RMIT Univ, Ctr Urban Res, 124 La Trobe St, Melbourne, Vic 3004, Australia
[6] Prince Songkla Univ, Dept Sustainable Energy Management, Fac Environm Management, Hat Yai 90112, Thailand
[7] Univ Southern Queensland, Ctr Sustainable Agr Syst, Toowoomba, Qld 4350, Australia
[8] Global Inst Interdisciplinary Studies, Kathmandu 44613, Nepal
关键词
urban expansion; cropland loss; machine learning models; Markov chain; LAND-USE CHANGE; CELLULAR-AUTOMATA; COVER CHANGE; KATHMANDU VALLEY; USE/COVER CHANGE; MARKOV-CHAIN; SPATIAL DYNAMICS; GROWTH; URBANIZATION; SIMULATION;
D O I
10.3390/rs12040628
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Globally, urbanization is increasing at an unprecedented rate at the cost of agricultural and forested lands in peri-urban areas fringing larger cities. Such land-cover change generally entails negative implications for societal and environmental sustainability, particularly in South Asia, where high demographic growth and poor land-use planning combine. Analyzing historical land-use change and predicting the future trends concerning urban expansion may support more effective land-use planning and sustainable outcomes. For Nepal's Tarai region-a populous area experiencing land-use change due to urbanization and other factors-we draw on Landsat satellite imagery to analyze historical land-use change focusing on urban expansion during 1989-2016 and predict urban expansion by 2026 and 2036 using artificial neural network (ANN) and Markov chain (MC) spatial models based on historical trends. Urban cover quadrupled since 1989, expanding by 256 km(2) (460%), largely as small scattered settlements. This expansion was almost entirely at the expense of agricultural conversion (249 km(2)). After 2016, urban expansion is predicted to increase linearly by a further 199 km(2) by 2026 and by another 165 km(2) by 2036, almost all at the expense of agricultural cover. Such unplanned loss of prime agricultural lands in Nepal's fertile Tarai region is of serious concern for food-insecure countries like Nepal.
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页数:22
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