Applying Intelligent Computing Algorithms on Developing an Optimal Operation Model for the Conjunctive-Use of Surface and Sub-Surface Water
|關鍵字:||地表地下聯合營運;水資源管理;地下水;類神經網路;模糊控制理論;遺傳演算法;Conjunctive use;Water resource management;Groundwater;Artificial neuralnetwork;Genetic algorithm;Fuzzy theory|
Due to the fast increasing of water demand and the raising hydrological variation caused by the global climate change, using only the surface water will increase the risk of water shortage in Taiwan. Comparing to the surface water, the groundwater resource is much more stable than the surface water. Therefore, the conjunctive-use of surface and sub-surface water can greatly reduce the water shortage risk. Although there are places that the groundwater was over pumped in Taiwan, the situation does not prohibit the implementation of conjunctive-use since the merit of the conjunctive-use is not to use more groundwater resource but to utilize the aquifer as a new storage system of the surface water to increase the capacity and efficiency of surface water allocation in time. The conjunctive operation is not only to preserve the balance of groundwater recharge and pumping. Beside, depending on the operation objective, the conjunctive operation can even recharge the aquifer to conserve the groundwater resource. This study is to develop a optimal planning model for the conjunctive-use of surface and subsurface water. The proposed model is capable of considering both linear surface water systems and nonlinear groundwater systems simultaneously. Conventionally, wells system and artificial lake are two hydraulic structures generally used in the groundwater management, and both structures can be applied simultaneously or independently in the conjunctive-use system. Therefore, the research consists of three steps (years). The first and second years are to develop the conjunctive-use models that apply either the well system or the artificial lake for groundwater supply. The final year is to integrate the two years results and develop a general conjunctive-use model that considers both the well system and artificial lake. For the beginning two years, the Genetic Algorithm (GA), Artificial Neural Network (ANN) and Linear Programming (LP) are adopted to develop the planning model. This study further applies the fuzzy control theorem to allocate the water demand between the surface and sub-surface system in the third year. The proposed model can analyze different planning strategies for the conjunctive-use of surface and sub-surface water and obtain a strategy which can fulfill the requirement of sustainable management, increase the system operating efficiency and reduce the water shortage risk.
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