标题: | 应用智慧型演算法于地表地下最佳联合营运模式之建立 Applying Intelligent Computing Algorithms on Developing an Optimal Operation Model for the Conjunctive-Use of Surface and Sub-Surface Water |
作者: | 张良正 CHANG LIANG-CHENG 国立交通大学土木工程学系(所) |
关键字: | 地表地下联合营运;水资源管理;地下水;类神经网路;模糊控制理论;遗传演算法;Conjunctive use;Water resource management;Groundwater;Artificial neuralnetwork;Genetic algorithm;Fuzzy theory |
公开日期: | 2008 |
摘要: | 近年來由于全球气候变迁造成旱涝等极端气候发生的频率升高,且水资源需求 又日益增加,若仅依靠地表水源将增加稳定供水的风险,而相较于地表水源,地下 水的供水稳定,若能将地下水与地表水进行聯合营运,则将可大为提高水源供应的 稳定度。虽然,台湾部分地区已过度抽用地下水,然而地表地下聯合营运的目的并 非在增加地下水之使用量,它的真正精神是利用地下水层庞大的储存空间,进行地 表水的调蓄操作,因此在适当的营运下,不但可推持地下水的进出平衡,甚至可进 一步达到补注涵养地下水的功能。 本研究目的在于建立一个可正确描述非稳态线性与非线性地下水系统之地表地 下聯合营运管理模式,传统上常見地下水之实体结构物有兩大類,分别为“水井群” 与“人工湖”,实际应用上可能是独自运用,或是混合运用于地表地下营运中。因 此本研究首先将应用類神经网路与遗传演算法,分别针对不同型式之实体结构物建 立聯合营运模式,最后再综合前兩年度之结果,结合模糊控制理論建置一个混合型 式之聯合营运模式,藉此本研究所发展的模式将可建议出包含水井与人工湖设施的 最佳地表地下聯合营运规划策略,在永续经营的前提下,有效提升实际水资源营运 效率,降低缺水风险。 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. |
官方说明文件#: | NSC97-2221-E009-084 |
URI: | http://hdl.handle.net/11536/101949 https://www.grb.gov.tw/search/planDetail?id=1684847&docId=290355 |
显示于类别: | Research Plans |
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