@Article{OliveiraTomaSanc:2019:SpAnCl,
               author = "Oliveira, Kenny Delmonte and Tomasella, Javier and Sanches, Ieda 
                         Del'Arco",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Centro 
                         Nacional de Monitoramento e Alertas de Desastres Naturais 
                         (CEMADEN)} and {Instituto Nacional de Pesquisas Espaciais 
                         (INPE)}",
                title = "Spatial-temporal analysis of the climatic and anthropogenic 
                         influences on runoff in the Jucu River Basin, southeastern 
                         Brazil",
              journal = "Land Degradation and Development",
                 year = "2019",
               volume = "30",
                pages = "2073--2087",
             keywords = "climate, hydrology, land use, spatial\‐,,temporal, trends.",
             abstract = "Isolating and quantifying the impacts of climate change and human 
                         influences on runoff in basins is one of the main challenges of 
                         hydrology due to nonstationarity and nonlinear character of the 
                         processes. As a result, new hydrological approaches have been 
                         proposed, leading to many assumptions for their implementation. 
                         Among these, it is worth mentioning the subjectivity in the choice 
                         of causal variables that compose climatic and anthropogenic 
                         factors and the definition of breakpoints that allows the conjoint 
                         analysis of the contribution of these factors on runoff. In this 
                         study, the quantification of the influence of climatic and 
                         anthropogenic factors on runoff in the Jucu River basin was 
                         performed using a decompositional method based on the Budyko 
                         hypothesis with time\‐varying parameters. For the 
                         parameterization of the equations, we considered a combination of 
                         16 variables of a historical series of 47 years (19702017). The 
                         runoff at sub\‐basins of different scales, climatic types, 
                         and soil uses was similarly affected by the influences factors. 
                         Changes on runoff were mainly due to anthropogenic factors with 
                         \−18.6 mm (80.5%), followed by climatic factors with 
                         \−4.5 mm (19.5%) for the whole period. Among all the land 
                         use variables considered, agriculture, forest, and pasture were 
                         predominantly responsible for the changes. In addition, graphical 
                         analysis of the time\‐variation of the variables of the 
                         Budyko curve proved to be an efficient and low subjectivity 
                         approach to identify breakpoints in the conjoint analysis of 
                         hydrological variables.",
                  doi = "10.1002/ldr.3403",
                  url = "http://dx.doi.org/10.1002/ldr.3403",
                 issn = "1085-3278 and 1099-145X",
                label = "lattes: 2456184661855977 3 OliveiraTomaSanc:2019:SpAnCl",
             language = "pt",
           targetfile = "oliveira_spatial.pdf",
        urlaccessdate = "04 jun. 2024"
}