Igapó I 湖局部水质问题输运参数的校准
Calibration of the Transport Parameters of a Local Problem of Water Quality in Igapó I Lake
AI总结：
本文通过半离散有限元方法（SUPG）校准二维水质模型中的扩散系数和动力学参数，以最小化预测值与观测值的偏差。
摘要：
模型的校准是指通过与观测数据比较来估计某些参数的过程。由于环境的动态性质，预测值与观测值之间会出现差异。因此，环境参数可能因随机温度变化、排放流量时间、一天中的时间和其他条件而变化。这些变化可以通过识别和优化输运模型的一些参数来最小化，例如 x 和 y 方向的扩散系数值以及描述污染物去除过程的动力学参数。本文介绍了关于巴西巴拉那州隆德里纳 Igapó I 湖二维水质问题（粪便大肠杆菌控制）输运参数校准的结果。因此，描述本研究过程的对流-扩散-反应方程通过一种半离散有限元方法（SUPG）求解，该方法在时间上结合有限差分，在空间上结合有限元。
英文摘要：
The calibration of a model refers to the process by which one can estimate some parameters by comparisons with observed data. Due to the dynamical nature of the environment, variations between predicted and observed values occur. Thus, the environmental parameters may vary due to random temperature changes, time of discharge flow, time of the day, and other conditions. Such variations can be minimized by identifying and optimizing some parameters of the transport model, like the values of diffusion coefficients in x and y directions and the kinetic parameter that describes the process of removing pollutants. This paper presents results concerning the calibration of transport parameters for two-dimensional problems of water quality (fecal coliform control) at Igapó I Lake, located in Londrina, Paraná, Brazil. Thus, the convection-diffusion-reaction equation, which describes mathematically the process studied in this work, is resolved by a semidiscrete finite element method (SUPG) which combines finite differences in time and finite elements in space.
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