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@Article{AlvarengaMelColCuaCho:2016:HyReCl,
               author = "Alvarenga, L{\'{\i}}via Alves and Mello, Carlos Rog{\'e}rio de 
                         and Colombo, Alberto and Cuartas, Luz Adriana and Chou, Sin Chan",
          affiliation = "{Universidade Federal de Lavras (UFLA)} and {Universidade Federal 
                         de Lavras (UFLA)} and {Universidade Federal de Lavras (UFLA)} and 
                         {Centro Nacional de Monitoramento e Alertas de Desastres Naturais 
                         (CEMADEN)} and {Instituto Nacional de Pesquisas Espaciais 
                         (INPE)}",
                title = "Hydrological responses to climate changes in a headwater 
                         watershed",
              journal = "Ci{\^e}ncia e Agrotecnologia",
                 year = "2016",
               volume = "40",
               number = "6",
                pages = "647--657",
                month = "nov./dec.",
                 note = "{Setores de Atividade: Pesquisa e desenvolvimento 
                         cient{\'{\i}}fico.}",
             keywords = "DHSVM, Modelo Eta, Mudan{\c{c}}as clim{\'a}ticas.",
             abstract = "Climate change impacts need to be considered in water resource 
                         planning. This work aims to study of the impacts climate change on 
                         Lavrinha headwater watershed, located in the Mantiqueira Range, 
                         southeastern Brazil. The impacts from climate change (RCP 8.5 
                         scenario) in the Lavrinha watershed runoff were analyzed based on 
                         the Distributed Hydrology Soil Vegetation Model (DHSVM), forced 
                         with the climate simulated for this future climate change 
                         scenario. These simulations, in turn, were generated by the Eta 
                         regional climate model coupled to Global Climate Model (GCM) 
                         HadGEM2-ES for the 2011-2040, 2041-2070 and 2071-2099 periods. The 
                         results of this study showed that the runoff is very sensitive to 
                         rising temperatures and reduced precipitation, both projected for 
                         the RCP 8.5 scenario. The hydrological simulation projected a 
                         reduction in the monthly streamflow between 20 and 77% over the 
                         twenty-first century (2011-2099), corresponding to drastic 
                         reductions in the runoff behavior and consequently in the water 
                         production capacity of the region. RESUMO: Climate change impacts 
                         need to be considered in water resource planning. This work aims 
                         to study of the impacts climate change on Lavrinha headwater 
                         watershed, located in the Mantiqueira Range, southeastern Brazil. 
                         The impacts from climate change (RCP 8.5 scenario) in the Lavrinha 
                         watershed runoff were analyzed based on the Distributed Hydrology 
                         Soil Vegetation Model (DHSVM), forced with the climate simulated 
                         for this future climate change scenario. These simulations, in 
                         turn, were generated by the Eta regional climate model coupled to 
                         Global Climate Model (GCM) HadGEM2-ES for the 2011-2040, 2041-2070 
                         and 2071-2099 periods. The results of this study showed that the 
                         runoff is very sensitive to rising temperatures and reduced 
                         precipitation, both projected for the RCP 8.5 scenario. The 
                         hydrological simulation projected a reduction in the monthly 
                         streamflow between 20 and 77% over the twenty-first century 
                         (2011-2099), corresponding to drastic reductions in the runoff 
                         behavior and consequently in the water production capacity of the 
                         region.",
                  doi = "10.1590/1413-70542016406027716",
                  url = "http://dx.doi.org/10.1590/1413-70542016406027716",
                 issn = "1413-7054",
                label = "lattes: 4336175279058172 5 AlvarengaMelColCuaCha:2016:HyReCl",
             language = "en",
           targetfile = "alvarenga_hydrological.pdf",
        urlaccessdate = "04 dez. 2020"
}


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