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首页> 外文期刊>Journal of hydrometeorology >Interannual Variation in Hydrologic Budgets in an Amazonian Watershed with a Coupled Subsurface-Land Surface Process Model
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Interannual Variation in Hydrologic Budgets in an Amazonian Watershed with a Coupled Subsurface-Land Surface Process Model

机译:亚马逊流域的水文预算依赖变化,耦合地下陆地过程模型

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The central Amazon forest is projected to experience larger interannual precipitation variability, with uncertain impacts on terrestrial hydrologic fluxes. How surface runoff, groundwater, and evapotranspiration (ET) change as a function of annual precipitation (AP) has large climate and bio-geochemical implications. A process-based hydrological model is used to examine the sensitivity of hydrologic budgets and stream discharge Q(s) generation to AP in an upland Amazon catchment. The authors find that AP strongly controls infiltration, base flow, and surface runoff, but not ET. Hence, AP alone can predict interannual changes in these fluxes except ET. Experiments with perturbed rainfall show the strong control derives from the predominant groundwater component that varies linearly with AP but is insensitive to seasonal rainfall fluctuations. Most rainfall from large storms infiltrates and becomes base flow rather than runoff or ET. Annual baseflow index (BFI; the fraction of stream discharge from base flow) is nearly constant (similar to 0.8) when AP is below similar to 2500 mm yr(-1) and decreases with AP above this value, which represents an inflection point for increased storage-dependent saturation excess. These results indicate that the system is energy limited and groundwater dominated in dry seasons, which implies some resilience of ET to moderate droughts. The results suggest AP is a good predictor for interannual changes in infiltration. Both the seasonal near-surface soil moisture and surface runoff are correlated more strongly to the subsurface fluxes than to precipitation over monthly and annual time scales. Finally, the results confirm the importance of central Amazon groundwater flow and its buffering effect on storms and droughts, implying needed model development in regional to global models.
机译:亚马逊中央森林预计会受到更大的际际降水变异性,对陆地水文助势的影响不确定。随着年降水量(AP)的函数,如何改变地面径流,地下水和蒸发器的变化具有很大的气候和生物地球化学含义。基于过程的水文模型用于检查高于亚马逊集水区中的水文预算和流放电Q(S)生成对AP的敏感性。作者发现,AP强烈控制渗透,基础流动和表面径流,但不是ET。因此,单独的AP可以预测除ET之外的这些助熔剂的际变化。扰动降雨的实验表明,强控制源于主要的地下水部件,其与AP线性变化,但对季节性降雨量不敏感。大暴风雨的降雨量渗透并变成碱流量而不是径流或et。年度基流指数(BFI;当AP低于2500mm YR(-1)时,碱基流量的流量排出的分数几乎是恒定的(类似于0.8)并且随着该值上方的AP减少,这表示拐点增加存储依赖性饱和过量。这些结果表明,该系统是能源有限的,地下水在干燥的季节中占主导地位,这意味着ET对温和的干旱的一些弹性。结果表明AP是渗透际变化的良好预测因子。季节性近表面土壤湿度和表面径流均比每月和年次时间尺度降水更强烈地相关。最后,结果证实了亚马逊地下水流量的重要性及其对风暴和干旱的缓冲效果,暗示了区域到全球模型的所需模型发展。

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