GroMoPo Metadata for Lethbridge-Barons SWAT model

Groundwater is a priceless resource in Alberta and therefore, estimating groundwater are crucial to identifying and promoting holistic and integrated management of groundwater-surface water. However, it is a challenge to simulate groundwater storage due to the current rudimentary representation of two-way groundwater-surface water exchange in current hydrologic models, such as Soil and Water Assessment Tool (SWAT), which, in turn, limits our ability to predict land-atmosphere processes and groundwater storage. In this study, we modified the SWAT model to improve module of evapotranspiration in two-way groundwater-surface water exchange. The modified SWAT was calibrated and validated against the groundwater table height and evapotranspiration from 2008 to 2011 period at two location (Lethbridge and Barons) Alberta, Canada. The results showed that the modified SWAT model predicts the groundwater table height very well at both locations. The modified model predicted the daily groundwater table height with R-2 values of 0.86 and 0.89 in the calibration period (2008-2009), 0.81 and 0.83 for the validation period (2010-2011) at Lethbridge and Barons, respectively. The Nash-Sutcliffe model efficiency (NSE) for daily groundwater table height was 0.69 and 0.71 during calibration periods (2008-2009) while the model gives lower values of NSE 0.65 and 0.67 for validation periods (2010-2011) at Lethbridge and Barons, respectively. Similarly, the model estimates evapotranspiration well with correlation coefficient (R-2) of 0.77 during the calibration period and 0.81 for validation period. Our result showed that the modified SWAT model did improve estimates to dynamic groundwater table heights.

阿尔伯塔省的地下水资源极为珍贵，因此，对其储量的估算对于识别和促进地下水-地表水综合管理至关重要。然而，由于当前水文模型，如土壤与水评估工具（Soil and Water Assessment Tool，简称SWAT）中对地下水-地表水双向交换的表述尚显简陋，模拟地下水储量的过程面临着诸多挑战。这一状况反过来限制了我们对陆地-大气过程及地下水储存的预测能力。在本研究中，我们对SWAT模型进行了改进，以优化其在地下水-地表水双向交换中的蒸散模块。改进后的SWAT模型在加拿大阿尔伯塔省的两个地点（Lethbridge和Barons）的2008至2011年期间，对地下水位高度和蒸散量进行了校准和验证。研究结果显示，改进后的SWAT模型在两个地点均能很好地预测地下水位高度。在校准期（2008-2009年）内，该模型在Lethbridge和Barons的日地下水位高度预测的R-2值分别为0.86和0.89，而在验证期（2010-2011年）则分别为0.81和0.83。就日地下水位高度而言，校准期的Nash-Sutcliffe模型效率（NSE）为0.69和0.71，而在Lethbridge和Barons的验证期，该模型给出的NSE值分别为0.65和0.67。类似地，该模型在校准期的蒸散量预测表现出良好的相关性系数（R-2）为0.77，在验证期为0.81。我们的研究结果表明，改进后的SWAT模型在动态地下水位高度的估算方面确实提高了预测精度。