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      Urban growth modelling and social vulnerability assessment for a hazardous Kathmandu Valley

      research-article
      1 , , 2 , 1 , 2
      Scientific Reports
      Nature Publishing Group UK
      Sustainability, Natural hazards

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          Abstract

          In our rapidly urbanizing world, many hazard-prone regions face significant challenges regarding risk-informed urban development. This study addresses this issue by investigating evolving spatial interactions between natural hazards, ever-increasing urban areas, and social vulnerability in Kathmandu Valley, Nepal. The methodology considers: (1) the characterization of flood hazard and liquefaction susceptibility using pre-existing global models; (2) the simulation of future urban built-up areas using the cellular-automata SLEUTH model; and (3) the assessment of social vulnerability, using a composite index tailored for the case-study area. Results show that built-up areas in Kathmandu Valley will increase to 352 km 2 by 2050, effectively doubling the equivalent 2018 figure. The most socially vulnerable villages will account for 29% of built-up areas in 2050, 11% more than current levels. Built-up areas in the 100-year and 1000-year return period floodplains will respectively increase from 38 km 2 and 49 km 2 today to 83 km 2 and 108 km 2 in 2050. Additionally, built-up areas in liquefaction-susceptible zones will expand by 13 km 2 to 47 km 2. This study illustrates how, where, and to which extent risks from natural hazards can evolve in socially vulnerable regions. Ultimately, it emphasizes an urgent need to implement effective policy measures for reducing tomorrow's natural-hazard risks.

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          Most cited references81

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          Global forecasts of urban expansion to 2030 and direct impacts on biodiversity and carbon pools.

          Urban land-cover change threatens biodiversity and affects ecosystem productivity through loss of habitat, biomass, and carbon storage. However, despite projections that world urban populations will increase to nearly 5 billion by 2030, little is known about future locations, magnitudes, and rates of urban expansion. Here we develop spatially explicit probabilistic forecasts of global urban land-cover change and explore the direct impacts on biodiversity hotspots and tropical carbon biomass. If current trends in population density continue and all areas with high probabilities of urban expansion undergo change, then by 2030, urban land cover will increase by 1.2 million km(2), nearly tripling the global urban land area circa 2000. This increase would result in considerable loss of habitats in key biodiversity hotspots, with the highest rates of forecasted urban growth to take place in regions that were relatively undisturbed by urban development in 2000: the Eastern Afromontane, the Guinean Forests of West Africa, and the Western Ghats and Sri Lanka hotspots. Within the pan-tropics, loss in vegetation biomass from areas with high probability of urban expansion is estimated to be 1.38 PgC (0.05 PgC yr(-1)), equal to ∼5% of emissions from tropical deforestation and land-use change. Although urbanization is often considered a local issue, the aggregate global impacts of projected urban expansion will require significant policy changes to affect future growth trajectories to minimize global biodiversity and vegetation carbon losses.
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            Social Vulnerability to Environmental Hazards*

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              Death to Kappa: birth of quantity disagreement and allocation disagreement for accuracy assessment

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                Author and article information

                Contributors
                carlos.mesta@iusspavia.it
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                12 April 2022
                12 April 2022
                2022
                : 12
                : 6152
                Affiliations
                [1 ]GRID grid.30420.35, ISNI 0000 0001 0724 054X, Understanding and Managing Extremes (UME) Graduate School, , Scuola Universitaria Superiore IUSS Pavia, ; Pavia, Italy
                [2 ]GRID grid.83440.3b, ISNI 0000000121901201, Department of Civil, Environmental and Geomatic Engineering, , University College London, ; London, UK
                Article
                9347
                10.1038/s41598-022-09347-x
                9005627
                35413963
                fb7a86cc-5f61-44bc-8ca2-dc166bfaa933
                © The Author(s) 2022

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 23 December 2021
                : 21 March 2022
                Funding
                Funded by: European Centre for Training and Research in Earthquake Engineering
                Funded by: FundRef http://dx.doi.org/10.13039/100016270, Global Challenges Research Fund;
                Award ID: NE/S009000/1, Tomorrow's Cities Hub
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                © The Author(s) 2022

                Uncategorized
                sustainability,natural hazards
                Uncategorized
                sustainability, natural hazards

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