Numerical simulation of BOD5 dynamics in Igap\'o I lake, Londrina, Paran\'a, Brazil: Experimental measurement and mathematical modeling
The concentration of biochemical oxygen demand, BOD5, was studied in order to evaluate the water quality of the Igap\'o I Lake, in Londrina, Paran\'a State, Brazil. The simulation was conducted by means of the discretization in curvilinear coordinates of the geometry of Igap\'o I Lake, together with finite difference and finite element methods. The evaluation of the proposed numerical model for water quality was performed by comparing the experimental values of BOD5 with the numerical results. The evaluation of the model showed quantitative results compatible with the actual behavior of Igap\'o I Lake in relation to the simulated parameter. The qualitative analysis of the numerical simulations provided a better understanding of the dynamics of the BOD5 concentration at Igap\'o I Lake, showing that such concentrations in the central regions of the lake have values above those allowed by Brazilian law. The results can help to guide choices by public officials, as: (i) improve the identification mechanisms of pollutant emitters on Lake Igap\'o I, (ii) contribute to the optimal treatment of the recovery of the polluted environment and (iii) provide a better quality of life for the regulars of the lake as well as for the residents living on the lakeside.
Code (0)
등록된 구현이 없습니다.
Similar Papers 제목 키워드 기반
Numerical Simulation of Fecal Coliform Dynamics in Luruaco Lake, Colombia
The Luruaco Lake located in the Department of Atl\'antico, Colombia, is damaged by the discharge of untreated sewage, bringing risks to the health of all who use its waters. The present study aims to perform the numerica…
Hourly operation of a regulated lake via Model Predictive Control
The optimal operation of regulated lakes is a challenging task involving conflicting objectives, ranging from controlling lake levels to avoid floods and low levels to water supply downstream. The traditional approach to…
Model Predictive ControlvalidPredicting Lake Erie Wave Heights using XGBoost
Dangerous large wave put the coastal communities and vessels operating under threats and wave predictions are strongly needed for early warnings. While numerical wave models, such as WAVEWATCH III (WW3), are useful to pr…
CPUProbabilistic modeling of lake surface water temperature using a Bayesian spatio-temporal graph convolutional neural network
Accurate lake temperature estimation is essential for numerous problems tackled in both hydrological and ecological domains. Nowadays physical models are developed to estimate lake dynamics; however, computations needed …
LakeFM: Toward a Foundation Model for Aquatic Ecosystems Using Irregular Multivariate Multi-depth Time Series Data
Understanding and forecasting lake dynamics is critical for monitoring water quality and ecosystem health across lakes and reservoirs. While machine learning methods have been recently applied to ecological time-series d…