Isotopic evaluation of the National Water Model reveals missing agricultural irrigation contributions to streamflow across the western United States

对国家水模型进行同位素评估,揭示了美国西部地区农业灌溉对河流流量的贡献缺失。

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Abstract

The National Water Model (NWM) provides critical analyses and projections of streamflow that support water management decisions. However, the NWM performs poorly in lower-elevation rivers of the western United States (US). The accuracy of the NWM depends on the fidelity of the model inputs and the representation and calibration of model processes and water sources. To evaluate the NWM performance in the western US, we compared observations of river water isotope ratios ( O18 ∕ O16 and H2 ∕ H1 expressed in δ notation) to NWM-flux-estimated (model) river reach isotope ratios. The modeled estimates were calculated from long-term (2000-2019) mean summer (June, July, and August) NWM hydrologic fluxes and gridded isotope ratios using a mass balance approach. The observational dataset comprised 4503 in-stream water isotope observations in 877 reaches across 5 basins. A simple regression between observed and modeled isotope ratios explained 57.9 % ( δO18 ) and 67.1 % ( δH2 ) of variance, although observations were 0.5 ‰ ( δO18 ) and 4.8 ‰ ( δH2 ) higher, on average, than mass balance estimates. The unexplained variance suggest that the NWM does not include all relevant water fluxes to rivers. To infer possible missing water fluxes, we evaluated patterns in observation-model differences using δOdiff18 ( δOobs18 - δOmod18 ) and ddiff ( δHdiff2 - 8 ⋅ δOdiff18 ). We detected evidence of evaporation in observations but not model estimates (negative ddiff and positive δOdiff18 ) at lower-elevation, higher-stream-order, arid sites. The catchment actual-evaporation-to-precipitation ratio, the fraction of streamflow estimated to be derived from agricultural irrigation, and whether a site was reservoir-affected were all significant predictors of ddiff in a linear mixed-effects model, with up to 15.2 % of variance explained by fixed effects. This finding is supported by seasonal patterns, groundwater levels, and isotope ratios, and it suggests the importance of including irrigation return flows to rivers, especially in lower-elevation, higher-stream-order, arid rivers of the western US.

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