@Article{SerrãoSFASLSSG:2022:ImLaUs,
               author = "Serr{\~a}o, Edivaldo Afonso de Oliveira and Silva, Madson Tavares 
                         and Ferreira, Thom{\'a}s Rocha and Ataide, Lorena 
                         Concei{\c{c}}{\~a}o Paiva de and Santos, Cleber Assis dos and 
                         Lima, Aline Maria Meiguins de and Silva, Vicente de Paulo 
                         Rodrigues da and Sousa, Francisco de Assis Salviano and Gomes, 
                         Denis Jos{\'e} Cardoso",
          affiliation = "{Universidade Federal de Campina Grande (UFCG)} and {Universidade 
                         Federal de Campina Grande (UFCG)} and {Universidade Federal de 
                         Campina Grande (UFCG)} and {Universidade Federal do Par{\'a} 
                         (UFPA)} and {Instituto Nacional de Pesquisas Espaciais (INPE)} and 
                         {Universidade Federal do Par{\'a} (UFPA)} and {Universidade 
                         Federal de Campina Grande (UFCG)} and {Universidade Federal de 
                         Campina Grande (UFCG)} and {Universidade Federal de Santa Maria 
                         (UFSM)}",
                title = "Impacts of land use and land cover changes on hydrological 
                         processes and sediment yield determined using the SWAT model",
              journal = "International Journal of Sediment Research",
                 year = "2022",
               volume = "37",
               number = "1",
                pages = "54--69",
                month = "Feb.",
                 note = "{Pr{\^e}mio CAPES Elsevier 2023 - ODS 2: Fome zero e Agricultura 
                         sustent{\'a}vel}",
             keywords = "Amazon basin, Hydrological modeling, Sediment yield, SWAT model.",
             abstract = "Land use and land cover (LULC) changes strongly affect local 
                         hydrology and sediment yields. The current study focused on a 
                         basin in the Brazilian Amazon and had the following three 
                         objectives: (1) to perform an effective diagnosis of flow and 
                         sediment yield, (2) to evaluate the impacts of LULC changes over 
                         the last 40 years on the hydro-sedimentological variables, and (3) 
                         to investigate the impacts of the possible trends or breaking 
                         points in the flow, surface runoff, and sediment yield series. The 
                         Soil and Water Assessment Tool (SWAT) model validation showed that 
                         the simulated results were consistent with the data measured in 
                         the dynamic reproduction of flow seasonality. Furthermore, changes 
                         in LULC altered surface runoff, sediment yield, and flow according 
                         to the Mann-Kendall and Pettitt non-parametric tests. It was also 
                         observed that the sub-basins in which pastureland is predominant 
                         are more susceptible to increased surface runoff and sediment 
                         yield. According to trend and homogeneity tests, these sub-basins 
                         had break points in the time series of these variables. On the 
                         other hand, in the sub-basins whose land cover is predominantly 
                         forest, the time series is homogeneous and trendless. The current 
                         study highlighted the impacts that 40 years of LULC changes in an 
                         Amazonian basin had on hydro-sedimentological variables, which, in 
                         turn, can play an important role in changing the hydrological 
                         cycle, consequently these changes can also impact diverse human 
                         activities in the region, such as agribusiness, livestock, energy 
                         production, food security, and public water supply. Thus, it is 
                         concluded that the SWAT model is a good estimator of 
                         hydro-sedimentological processes in Amazonian basins and can be 
                         used by decision makers in the management of water and 
                         environmental resources.",
                  doi = "10.1016/j.ijsrc.2021.04.002",
                  url = "http://dx.doi.org/10.1016/j.ijsrc.2021.04.002",
                 issn = "1001-6279",
             language = "en",
           targetfile = "serrao_impacts.pdf",
        urlaccessdate = "21 maio 2024"
}