Water use by anthropogenic activities in the face of climate change invokes a better understanding of headwater sources and lowland urban water allocations. Here, we constrained a Bayesian mixing model with stable isotope data (2018-2019) in rainfall ( = 704), spring water ( = 96), and surface water ( = 94) with seasonal isotope sampling (wet and dry seasons) of an urban aqueduct ( = 215) in the Central Valley of Costa Rica. Low O rainfall compositions corresponded to the western boundary of the study area, whereas high values were reported to the northeastern limit, reflecting the influence of moisture transport from the Caribbean domain coupled with strong orographic effects over the Pacific slope.
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