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Modelling the Oro Moraine multi-aquifer system: Role of geology, numerical model, parameter estimation and uncertainty.

机译:对Oro冰a多含水层系统建模:地质,数值模型,参数估计和不确定性的作用。

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A steady-state groundwater model of the Oro Moraine aquifer system, near Barrie (Ontario), is developed. The model is used to identify controls on baseflow to the Minesing Swamp, a 7000 hectares wetland of international significance. Lithologic descriptions contained in the extensive database of well records are used to develop a hydrostratigraphic model of the predominantly glacial aquifer system and to distribute hydraulic conductivity using kriging. A pseudo-unsaturated model is developed and coupled with a recharge spreading layer to simulate the complex recharge mechanism for the aquifer system and to provide a simulation of both surface and subsurface fluxes to streams. A hypothetical flow problem illustrates that the model is able accurately predict recharge fluxes for heterogeneous aquifers. The Oro Moraine model is calibrated to water level data and stream gauge measurements using an inverse algorithm that is developed based on existing theory. The model is able to predict observed runoff and baseflow quantities to streams that are represented by Dirichlet boundaries. The adjoint method is used to identify recharge areas for streams and wetlands. It is found that the nearby Snow Valley upland is most important for groundwater discharge to the Minesing Swamp and that the Oro Moraine is the most critical recharge area for baseflow to the Matheson and Willow Creeks that flow into the swamp. Hypothetical urbanization impact calculations suggest that low to medium density residential development in the uplands will result in a modest decrease in baseflow to the swamp. This baseflow in turn only makes up a relatively small fraction of the total inflow to the swamp. However, groundwater provides a relatively steady inflow of water over larger portions of the wetland which may be important for nutrient cycling and for maintaining soil moisture conditions. Subtle changes in baseflow may therefore have a large unforeseen impact on the ecology of the swamp. The urbanization impact calculations further indicate that a loss of recharge in the uplands may dramatically impact baseflow to the headwaters of local streams. The model thus provides valuable insight into crucial characteristics of the aquifer system. An application of stochastic methods to quantify model uncertainty is hampered by the complexity of the aquifer system.
机译:建立了安大略省巴里附近的Oro冰a含水层系统的稳态地下水模型。该模型用于识别对7000公顷具有国际意义的湿地采矿沼泽的基本流量的控制。广泛的钻井记录数据库中包含的岩性描述被用于开发主要为冰川含水层系统的水文地层模型,并使用克里金法分配水力传导率。拟定了一个不饱和模型,并与补给扩散层耦合,以模拟含水层系统的复杂补给机制,并提供对水流的表面和地下通量的模拟。假设的流动问题说明该模型能够准确地预测非均质含水层的补给流量。使用基于现有理论开发的逆算法将Oro冰Mor模型校准为水位数据和水位计测量值。该模型能够预测由Dirichlet边界表示的流的观测径流量和基流量。伴随法用于识别溪流和湿地的补给区。结果发现,附近的雪谷山地对于排入沼泽的地下水最重要,而Oro冰a是流入沼泽的Matheson和Willow Creek底流的最关键补给区。假设的城市化影响计算表明,高地中低密度的住宅开发将导致沼泽的基础流量适度下降。反过来,该基本流量仅占沼泽总流入量的一小部分。然而,地下水在湿地的较大部分上提供了相对稳定的水流入,这对于养分循环和维持土壤水分状况可能是重要的。因此,基流的细微变化可能会对沼泽的生态产生不可预见的巨大影响。城镇化影响计算还表明,高地补给的损失可能会严重影响流向局部水源的基流。因此,该模型为含水层系统的关键特性提供了宝贵的见识。随机方法定量模型不确定性的应用受到含水层系统复杂性的阻碍。

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