Lake eutrophication management modeling using dynamic programming.
Lake eutrophication problems have received considerable attention in Taiwan, especially because they relate to the quality of drinking water. In this study, steady-state river water quality and lake eutrophication models are solved using dynamic programming algorithms to find the nutrient removal rates for eutrophication control during dry season. The kinetic cycle of chlorophyll-a, phosphorus and nitrogen for a complete-mixed lake is considered in the optimization framework. The Newton-iterative technique is adopted to solve the nonlinear equations for the steady-state lake eutrophication model. The optimization framework is applied to Cheng-Ching Lake in southern Taiwan. Several nutrient loading scenarios for eutrophication control are studied. Optimization results for nutrient removal rates and corresponding wastewater treatment capacities of each reach of the Kao-Ping River define the least cost approach to lake eutrophication control. A natural purification method, structural free water surface wetland, is also suggested to save more investment and improve river water quality at the same time.
Kuo
Jan-Tai
JT
Department of Civil Engineering and Hydrotech Research Institute, National Taiwan University, Taipei 106, Taiwan. kuoj@ntu.edu.tw
Hsieh
Pin-Hui
PH
Jou
Wei-Shin
WS
D002734:Chlorophyll / Q000032:analysis; D000077194:Chlorophyll A; D003247:Conservation of Natural Resources; D005068:Eutrophication; D005618:Fresh Water / Q000737:chemistry; D007700:Kinetics; D008962:Models, Theoretical; D010758:Phosphorus / Q000032:analysis; D012498:Sanitary Engineering; D013624:Taiwan
D002734:Chlorophyll; D010758:Phosphorus; D000077194:Chlorophyll A