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首页> 外文期刊>Journal of Hydroinformatics >Development of two-dimensional groundwater flow simulation model using meshless method based on MLS approximation function in unconfined aquifer in transient state
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Development of two-dimensional groundwater flow simulation model using meshless method based on MLS approximation function in unconfined aquifer in transient state

机译:基于MLS逼近函数的非承压含水层瞬态二维地下水流模拟模型的建立。

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摘要

In recent decades, due to reduction in precipitation, groundwater resource management has become one of the most important issues considered to prevent loss of water. Many solutions are concerned with the investigation of groundwater flow behavior. In this regard, development of meshless methods for solving the groundwater flow system equations in both complex and simple aquifers' geometry make them useful tools for such investigations. The independency of these methods to meshing and remeshing, as well as its capability in both reducing the computation requirement and presenting accurate results, make them receive more attention than other numerical methods. In this study, meshless local Petrov-Galerkin (MLPG) is used to simulate groundwater flow in Birjand unconfined aquifer located in Iran in a transient state for 1 year with a monthly time step. Moving least squares and cubic spline are employed as approximation and weight functions respectively and the simulated head from MLPG is compared to the observation results and finite difference solutions. The results clearly reveal the capability and accuracy of MLPG in groundwater simulation as the acquired root mean square error is 0.757. Also, with using this method there is no need to change the geometry of aquifer in order to construct shape function.
机译:近几十年来,由于降水减少,地下水资源管理已成为防止水流失的最重要问题之一。许多解决方案与地下水流动行为的研究有关。在这方面,为解决复杂和简单含水层几何形状的地下水流系统方程而开发的无网格方法使其成为进行此类研究的有用工具。这些方法与网格划分和重新划分网格的独立性,以及它们在减少计算需求和呈现准确结果方面的能力,使其比其他数值方法受到更多关注。在这项研究中,使用本地无网格Petrov-Galerkin(MLPG)模拟过渡状态的伊朗Birjand无限制含水层中的地下水流量,过渡期为1年,每月时间间隔。将移动最小二乘和三次样条分别用作逼近函数和权重函数,并将来自MLPG的模拟水头与观测结果和有限差分解进行比较。结果清楚地揭示了MLPG在地下水模拟中的能力和准确性,因为获得的均方根误差为0.757。同样,使用这种方法,无需为了构造形状函数而改变含水层的几何形状。

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