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Developing A Lake Eutrophication Model AndDetermining Biogeochemical Parameters: A LargeScale Parameter Estimation Problem

机译:建立湖泊富营养化模型并确定生物地球化学参数:大规模参数估计问题

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This work addresses the dynamic parameter estimation problem for an eutrophicationmodel, which is formulated within a simultaneous approach. Ecological processes aremodeled through a set of complex nonlinear differential algebraic equations, with ratecoefficients that must be estimated. Gradients of state variables are considered along thewater column, rendering a partial differential equation problem, which is transformedinto a differential algebraic (DAE) one by spatial discretization in several water layers.Within a simultaneous approach, the DAE constrained optimization problem istransformed into a large-scale nonlinear programming problem. Main biochemical andchemical parameters have been obtained, which allow a close representation of the lakedynamics.
机译:这项工作解决了富营养化的动态参数估计问题 模型,该模型是在同步方法中制定的。生态过程是 通过一组复杂的非线性微分代数方程建模,其速率为 必须估计的系数。状态变量的梯度沿 水柱,呈现偏微分方程问题,并将其转化为水 通过在几个水层中进行空间离散将其转换为微分代数(DAE)。 在同步方法中,DAE约束优化问题是 转化为一个大规模的非线性规划问题。主要生化及 获得了化学参数,可以精确地表示湖泊 动力学。

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