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Application of Monitoring Network Design and Feedback Information for Adaptive Management of Coastal Groundwater Resources

机译:监测网设计与反馈信息在沿海地下水资源自适应管理中的应用

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摘要

Optimal strategies for the management of coastal groundwater resources can be derived using coupled simulation-optimization based management models. However, the management strategy actually implemented on the field sometimes deviates from the recommended optimal strategy, resulting in field-level deviations. Monitoring these field-level deviations during actual implementation of the recommended optimal management strategy and sequentially updating the management model using the feedback information is an important step towards efficient adaptive management of coastal groundwater resources. In this study, a three-phase adaptive management framework for a coastal aquifer subjected to saltwater intrusion is applied and evaluated for a regional-scale coastal aquifer study area. The methodology adopted includes three sequential components. First, an optimal management strategy (consisting of groundwater extraction from production and barrier wells) is derived and implemented for optimal management of the aquifer. The implemented management strategy is obtained by solving a homogenous ensemble-based coupled simulation-optimization model. Second, a regional-scale optimal monitoring network is designed for the aquifer system considering possible user noncompliance of a recommended management strategy, and uncertainties in estimating aquifer parameters. A new monitoring network design objective function is formulated to ensure that candidate monitoring wells are placed in high risk (highly contaminated) locations. In addition, a new methodology is utilized to select candidate monitoring wells in areas representative of the entire model domain. Finally, feedback information in the form of measured concentrations obtained from the designed optimal monitoring wells is used to sequentially modify pumping strategies for future time periods in the management horizon. The developed adaptive management framework is evaluated by applying it to the Bonriki aquifer system located in Kiribati, which is a small developing island country in the South Pacific region. Overall, the results from this study suggest that the implemented adaptive management strategy has the potential to address important practical implementation issues arising due to noncompliance of an optimal management strategy and uncertain aquifer parameters.
机译:可以使用基于模拟优化的耦合管理模型来得出沿海地下水资源管理的最佳策略。但是,实际在现场实施的管理策略有时会偏离建议的最佳策略,从而导致现场级别的偏差。在实际执行推荐的最佳管理策略期间监视这些字段级偏差,并使用反馈信息顺序更新管理模型,是朝着有效管理沿海地下水资源迈出的重要一步。在这项研究中,针对区域性沿海含水层研究区域,应用和评估了沿海咸水入侵的三相自适应管理框架。所采用的方法包括三个顺序组成部分。首先,得出并实施了一种最优管理策略(包括从生产井和隔离井中抽取地下水),以对含水层进行最优管理。通过解决基于均质集成的耦合仿真优化模型,可以获得实施的管理策略。其次,考虑到用户可能不遵守建议的管理策略,以及在估算含水层参数时存在不确定性,为含水层系统设计了一个区域规模的最佳监控网络。制定了新的监控网络设计目标功能,以确保将候选监控井放置在高风险(高污染)位置。此外,采用了一种新的方法来选择代表整个模型域的区域中的候选监测井。最后,从设计的最佳监测井获得的浓度测量值形式的反馈信息可用于在管理范围内针对未来时间段依次修改泵送策略。通过将开发的自适应管理框架应用于基里巴斯的Bonriki蓄水层系统,该系统是南太平洋地区的一个发展中小岛国,对它进行了评估。总体而言,这项研究的结果表明,实施的自适应管理策略有可能解决由于不遵守最佳管理策略和不确定的含水层参数而引起的重要的实际实施问题。

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