Contrasting Population Projections to Induce Divergent Estimates of Landslides Exposure Under Climate Change
نویسندگان
چکیده
Abstract At first glance, assessing future landslide‐exposed population appears to be a straightforward task if landslide hazard estimates, climate change, and projections are available. However, the intersection of with socioeconomic elements may result in significant variation estimated exposure due considerable variations projections. This study aims investigate effects different sources data on evaluation China under four Shared Socioeconomic Pathways (SSPs) scenarios. We utilize multiple global models (GCMs) from Coupled Model Intercomparison Project Phase 6 six high‐resolution spatially explicit static dynamic sets drive available models. The results indicate an overall rise projections, increase potential impact area 0.4%–2.7% frequency 4.7%–20.1%, depending SSPs scenarios periods. likely changes exposed population, as modeled by incorporating hazard, yield divergent outcomes source. Thus, some depict exposure, while others show clear decrease. nationwide divergence ranged −64% +48%. These findings were mainly attributed differences lesser extent GCMs. present highlight need pay closer attention evolution at risk associated uncertainties.
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ژورنال
عنوان ژورنال: Earth’s Future
سال: 2023
ISSN: ['2328-4277']
DOI: https://doi.org/10.1029/2023ef003741