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:3834d477-7a1d-4ad3-8a41-d38fc727dbd8
dcterms:title "Buildings, infrastructure, and population in the potentially impacted areas by glacier lake outburst floods of Tsho Rolpa, Nepal, 2020" ;
dcterms:identifier <https://catalogue.ceh.ac.uk/id/3834d477-7a1d-4ad3-8a41-d38fc727dbd8> ;
adms:identifier <https://doi.org/10.5285/3834d477-7a1d-4ad3-8a41-d38fc727dbd8> ;
dcterms:bibliographicCitation "Chen, H., Liang, Q., Xiao, W. (2021). Buildings, infrastructure, and population in the potentially impacted areas by glacier lake outburst floods of Tsho Rolpa, Nepal, 2020. NERC EDS Environmental Information Data Centre. https://doi.org/10.5285/3834d477-7a1d-4ad3-8a41-d38fc727dbd8" ;
dcterms:description "The data consists of identified exposed objects subject to flooding risk from the Tsho Rolpa Lake. The Tsho Rolpa Lake is the largest moraine-dammed proglacial lake in Nepal and was identified as one of the country’s most dangerous glacier lakes with a high possibility of outburst." ;
dcterms:provenance [
a dcterms:ProvenanceStatement ;
rdfs:label "Different glacial lake outburst flood (GLOF) scenarios are created using a simple dam breach model. A high-performance hydrodynamic model is then used to simulate the resulting flood hydrodynamics. Detailed socio-economic information is collected and processed from multiple sources including OpenStreetMap, Google Earth, and global data products to support exposure analysis. The exposure of objects was spatially identified by overlaying the predicted flood inundation maps and the relevant datasets that are processed and improved."
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