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Diffuse groundwater recharge estimation confronting hydrological modelling uncertainty

机译:弥漫性地下水充电估计面对水文模拟不确定性

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摘要

Diffuse recharge is vital in determining the availability of renewable groundwater. Estimating diffuse recharge, however, is a great challenge plagued with uncertainty due to limitations in direct observation and process understanding. Hydrological model is functional for diffuse recharge estimation at catchment scale. It can be used independently or in combination with flow recession analysis to estimate recharge but it is accompanied with uncertainties owing to model structures and parameterization schemes. Confronting the uncertainties in hydrological modelling, in this paper, we used three models (GR4J, SIMHYD and IHACRES) together with nine parameterization schemes to investigate the effectiveness and uncertainties in the estimates of diffuse recharge for unregulated headwater catchments. The parameterization schemes were configured by three objective functions and three calibration periods conditioned on climate. It was found that the capability of hydrological model in yielding more reasonable groundwater recharge estimates largely depended on the objective function used and the calibration period configured. Model calibrated using inverse NSE (NSEInv) was judged to be more likely to yield better recharge estimates. The uncertainties due to the choice of parameterization scheme were found to be comparable with those from model structures. The use of different models, objective functions and calibration periods allowed reflection on the level of uncertainties one can minimally expect in estimating catchment scale recharge.
机译:漫反射充电对于确定可再生地下水的可用性至关重要。然而,估计漫反射充电是由于直接观察和过程理解的局限性困扰的巨大挑战。水文模型是集水区漫反射补给估计的功能性。它可以独立地或与流量衰退分析组合使用以估计充值,但由于模型结构和参数化方案,它伴随着不确定性。在本文中面对水文模拟中的不确定性,我们使用了三种模型(GR4J,SIMYD和IHACRES)以及九个参数化方案,以研究弥漫性偏水集液的弥漫性补给估计的有效性和不确定性。参数化方案由三个客观函数和气候调节三个校准周期配置。结果发现,水文模型在产生更合理的地下水补给估计中的能力在很大程度上取决于所使用的目标函数和配置的校准期。使用反向NSE(NSeinV)校准的模型被判断为更有可能产生更好的充电估计。发现由于参数化方案的选择而导致的不确定性与模型结构的选择相当。使用不同的模型,客观函数和校准时段允许反射对不确定程度的反射,可以在最低限度期望估算集水区尺度充电时。

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