@Article{LançasSaGaBoQuMaGa:2022:AsChCo,
               author = "Lan{\c{c}}as, Vanderlei Gomes and Santarosa, Lucas Vituri and 
                         Garpelli, Lia Nogueira and Borma, Laura de Simone and Quaggio, 
                         Carolina Stager and Martins, Veridiana Teixeira de Souza and 
                         Gastmans, Didier",
          affiliation = "{Universidade Estadual Paulista (UNESP)} and {Universidad 
                         Tecnol{\'o}gica del Uruguay (UTEC)} and {Universidade Estadual 
                         Paulista (UNESP)} and {Instituto Nacional de Pesquisas Espaciais 
                         (INPE)} and {Universidade Estadual Paulista (UNESP)} and 
                         {Universidade de S{\~a}o Paulo (USP)} and {Universidade Estadual 
                         Paulista (UNESP)}",
                title = "Assessment of the changes in contributions from water sources to 
                         streamflow induced by urbanization in a small-sized catchment in 
                         Southeastern Brazil using the dual stable isotopes of water (18O 
                         and 2H)",
              journal = "Environmental Monitoring and Assessment",
                 year = "2022",
               volume = "194",
               number = "5",
                pages = "e357",
                month = "May",
             keywords = "Bayesian mixing model, Stable isotopes, Streamflow, Urban 
                         hydrology.",
             abstract = "Urban growth often results in changes in the urban hydrological 
                         cycle, causing impacts on water availability in densely populated 
                         regions. The water isotopologues can provide relevant information 
                         about the origin of water under different hydrogeological 
                         scenarios, aiding to implement better strategies for water 
                         conservation in coupled natural-urbanized environments. In this 
                         study, the isotopic compositions of multiple water sources were 
                         assessed in a pristine (Ipanema National Forest, FLONA) and an 
                         urbanized (Lavap{\'e}s catchment, SOR) watershed located in the 
                         Sorocaba River basin (State of S{\~a}o Paulo, Southeastern 
                         Brazil), seeking to understand the causes of isotopic variability 
                         and to determine the relative contribution from different sources 
                         to streamflow, using the Bayesian mixing model approach. 
                         Differences in isotopic composition were observed, as FLONA 
                         yielded the most depleted water (ca. \−7.5 \δ18O for 
                         surface and groundwater and ca. + 11.0 d-excess), while SOR 
                         yielded the most enriched water (ca. \−5.5 \δ18O for 
                         surface and groundwater and \−3.8 \δ18O for the water 
                         supply system), with evidence of evaporation (ca. + 8.2 d-excess). 
                         The differences observed in isotopic compositions are related to a 
                         combination of different factors, such as geological framework, 
                         groundwater recharge, and evaporation associated with the 
                         Itupararanga water reservoir. Both in FLONA and SOR, groundwater 
                         discharge is the most important factor that regulates streamflow. 
                         However, in SOR, losses from the water supply system were almost 
                         constant along the year, representing an important contribution. 
                         The results presented here highlight the use of isotope hydrology 
                         techniques to solve problems related to urban hydrology.",
                  doi = "10.1007/s10661-022-10040-9",
                  url = "http://dx.doi.org/10.1007/s10661-022-10040-9",
                 issn = "0167-6369",
             language = "en",
           targetfile = "Lancas_2022_assessment.pdf",
        urlaccessdate = "25 jun. 2024"
}