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Optimal Water Level Study Based on Great Lakes Water Issues

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DOI: 10.23977/erej.2024.080206 | Downloads: 10 | Views: 203

Author(s)

Hanyu Yang 1, Zhixuan Du 2, Qi Zheng 3

Affiliation(s)

1 College of Transportation Engineering, Dalian Maritime University, Dalian, 116026, China
2 Marine Electrical Engineering College, Dalian Maritime University, Dalian, 116026, China
3 Information Science and Technology College, Dalian Maritime University, Dalian, 116026, China

Corresponding Author

Hanyu Yang

ABSTRACT

Lakes maintain ecological balance and natural beauty through their consistent and variable water levels. To explore the complexities of lake water level regulation, this article develops a series of mathematical models based on available data. First, the article identifies the optimal water level range for each time period by drawing a violin diagram and considering the problem's requirements. Then, an AHP evaluation model is constructed, which evaluates the optimal water levels in Ontario using the sequential least squares programming (SQP) algorithm. The article visualizes the optimal water level range obtained. Subsequently, a network model of river flow covering the Great Lakes, connecting Lake Superior to the Atlantic Ocean, is built. The article also develops two control algorithms based on the Simulated Annealing (SA) algorithm to regulate dam outflow. The relationship equation between river flow and the difference in river level is derived, which is then used to conduct a sensitivity analysis of the algorithm. This analysis aims to provide an optimized solution and verify the model's stability. Finally, the article analyzes the model's advantages and disadvantages and summarizes the findings. Finally, the article analyzes the advantages and disadvantages of the model and summarizes the model.

KEYWORDS

Violin Diagram, SQP, SA, AHP

CITE THIS PAPER

Hanyu Yang, Zhixuan Du, Qi Zheng, Optimal Water Level Study Based on Great Lakes Water Issues. Environment, Resource and Ecology Journal (2024) Vol. 8: 35-44. DOI: http://dx.doi.org/10.23977/erej.2024.080206.

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