Machine learning-based observation-constrained projections reveal elevated global socioeconomic risks from wildfire.
Sign Up to like & getrecommendations! Published in 2022 at "Nature communications"
DOI: 10.1038/s41467-022-28853-0
Abstract: Reliable projections of wildfire and associated socioeconomic risks are crucial for the development of efficient and effective adaptation and mitigation strategies. The lack of or limited observational constraints for modeling outputs impairs the credibility of… read more here.
Keywords: machine learning; socioeconomic risks; learning based; observation constrained ... See more keywords
Prediction of Socioeconomic Risks in the Cryolithic Zone of the Russian Arctic in the Context of Upcoming Climate Changes
Sign Up to like & getrecommendations! Published in 2020 at "Studies on Russian Economic Development"
DOI: 10.1134/s1075700720040036
Abstract: The article assesses the internal differentiation of municipalities in the regions of the Russian Arctic by the scale of potential socioeconomic damage from dangerous geocryological processes. Based on a specially developed technique, the areas where… read more here.
Keywords: socioeconomic risks; climate; prediction socioeconomic; cryolithic zone ... See more keywords