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Mohammad M M Alsahli

Dados Biográficos

ID5776616
NOMEMohammad M M Alsahli
PRENOMESMohammad M M
SOBRENOMEAlsahli
ASSINATURAALSAHLI M M M
AFILIAÇÕESKuwait University
ORCID0000-0003-3225-7452
VERIFICADOSim
TOTAL DE OBRAS4
TOTAL DE CITAÇÕES0
OBRAS COMO AUTOR4
OBRAS COMO EDITOR0
PRIMEIRO ANO DE PUBLICAÇÃO2016
ANO MAIS RECENTE DE PUBLICAÇÃO2025
ÍNDICE H0
  • Climate change risk trap

    Open Access•Viktor Rözer, Sara Mehryar et al.•ARTICLE•Environmental Research Letters•2025

    The economic risks from climate change can be separated into two categories: physical risks from increased frequency and magnitude of extreme weather and climate events, and transition risks due to rapid decarbonisation leading to stranded assets and shifts in production and the labour market. On the global level, the two risks are widely recognized as trade-offs by the academic and policy literature: rapid decarbonisation increases transition ri…

  • Deep learning for sea surface temperature applications

    Open Access•Redouane Larbi Boufeniza, Luo Jingjia et al.•ARTICLE•Geo Geography and Environment•2024•Referências: 1

    This study explored the potential application of deep learning techniques in sea surface temperature (SST) investigations using a mixed method, bibliometric analysis and methodological approach. CiteSpace software was utilized for a bibliometric study on 137 academic publications from 2018 to 2023. Various databases were employed for methodological analysis, which involved examining publications based on models, methodologies, applications and re…

  • Environmental justice in Kuwait metropolitan area

    Mohammad M M Alsahli, Meshari Al‐Harbi•ARTICLE•Local Environment•2023

    Rapid urbanisation raises conceptual questions about the spatial association of environmental quality and certain communities or demographic groups under the term of environmental justice. Thus, to evaluate environmental justice, we proposed a flexible GIS-based multi-criteria model that can be easily adjusted to include other factors to expand the environmental justice context toward other considerations, including the nature of the study area. …

  • Vulnerability of Kuwait coast to sea level rise

    Mohammad M M Alsahli, Ahmed M AlHasem et al.•ARTICLE•Geografisk Tidsskrift-Danish…•2016•Referências: 46

    Assessing coastal vulnerability to sea level rise (SLR) at local and regional scales is a fundamental step for designing successful long-term coastal management plans. This study was thus designed to assess Kuwait coastal vulnerability to SLR at four scenarios (.5, 1, 1.5 and 2 m). Potential inundated areas and the number of people at risk were estimated based on these SLR scenarios. A coastal vulnerability index (CVI) map of Kuwait was then comp…

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  • Vulnerability of Kuwait coast to sea level rise

    Mohammad M M Alsahli, Ahmed M AlHasem et al.•ARTICLE•Geografisk Tidsskrift-Danish…•2016•Referências: 46

    Assessing coastal vulnerability to sea level rise (SLR) at local and regional scales is a fundamental step for designing successful long-term coastal management plans. This study was thus designed to assess Kuwait coastal vulnerability to SLR at four scenarios (.5, 1, 1.5 and 2 m). Potential inundated areas and the number of people at risk were estimated based on these SLR scenarios. A coastal vulnerability index (CVI) map of Kuwait was then comp…

  • Environmental justice in Kuwait metropolitan area

    Mohammad M M Alsahli, Meshari Al‐Harbi•ARTICLE•Local Environment•2023

    Rapid urbanisation raises conceptual questions about the spatial association of environmental quality and certain communities or demographic groups under the term of environmental justice. Thus, to evaluate environmental justice, we proposed a flexible GIS-based multi-criteria model that can be easily adjusted to include other factors to expand the environmental justice context toward other considerations, including the nature of the study area. …

  • Deep learning for sea surface temperature applications

    Open Access•Redouane Larbi Boufeniza, Luo Jingjia et al.•ARTICLE•Geo Geography and Environment•2024•Referências: 1

    This study explored the potential application of deep learning techniques in sea surface temperature (SST) investigations using a mixed method, bibliometric analysis and methodological approach. CiteSpace software was utilized for a bibliometric study on 137 academic publications from 2018 to 2023. Various databases were employed for methodological analysis, which involved examining publications based on models, methodologies, applications and re…

  • Climate change risk trap

    Open Access•Viktor Rözer, Sara Mehryar et al.•ARTICLE•Environmental Research Letters•2025

    The economic risks from climate change can be separated into two categories: physical risks from increased frequency and magnitude of extreme weather and climate events, and transition risks due to rapid decarbonisation leading to stranded assets and shifts in production and the labour market. On the global level, the two risks are widely recognized as trade-offs by the academic and policy literature: rapid decarbonisation increases transition ri…

Environmental Science (3 obras) · Climate change (2 obras) · Geography (2 obras) · Geology (2 obras) · Oceanography (2 obras) · Bay (1 obra) · Business (1 obra) · Cartography (1 obra) · Coastal and Marine Dynamics (1 obra) · Coastal zone (1 obra)

Ethnos_APP • Projeto Open Source • Licença MIT • Frontend v2.0.0 • Privacidade e Cookies • Documentação da API: api.ethnos.app/docs • Código da API: GitHub • DOI: 10.5281/zenodo.17049435 • Código do Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae