Water quality management at a critical checkpoint by coordinated multi-catchment urban-rural load allocation.
Water quality management at a critical checkpoint by coordinated multi-catchment urban-rural load allocation.
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DOI：
10.2139/ssrn.4272308
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发表时间：
2023-04
影响因子：
8.7
通讯作者：
Leyang Liu;Barnaby Dobson;A. Mijić
中科院分区：
文献类型：
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作者：
Leyang Liu;Barnaby Dobson;A. Mijić
改善关键检查站（定义为对用水有重大影响的地点）的河流水质以满足监管标准是可持续集水管理的一个重要目标。在调查污染热点、设计有效的减排目标和评估管理绩效方面仍然存在挑战。为了应对这些挑战，我们开发了一种水质管理的系统方法，将自然物理过程与人类活动及其对环境的影响相结合。在这种方法中，我们首先扩展净空（低于允许值的量）和过量（超过许可证的量）的概念到源，空间和时间域的水质管理。我们评估系统范围内的污染贡献，通过模拟物理过程中的半分布式集成表示使用CatchWat-SD模型。我们将该模型应用于泰晤士河上游流域，并使用现有的监测数据进行验证。然后，我们将评估的净空过剩到一个协调的负载分配，以提高干预的效率和可行性。生成并模拟了在不同域协调净空过剩的负载分配场景。最后，我们使用多标准指标来评估这些场景的性能，以证明净空过剩协调的优势。结果表明，城市源，下游子流域，旱季流量与过剩，从而使管理人员能够确定哪些情况下（污染源，位置和时间），重点负荷减少。负载分配策略越多地协调跨域的余量过剩，分配给过剩情况的目标减少越多，并且在所有标准中获得的性能越好。该研究强调了在负荷分配中纳入净空过剩的必要性，这有助于更有效地提高系统级水质性能。这一方法可进一步扩展到多个检查站的水质管理，以实现区域水系统的可持续管理。
Improving river water quality at critical checkpoints, defined as locations with significant impacts on water use, to satisfy regulation standards is an important goal of sustainable catchment management. Challenges remain in investigating pollution hotspots, designing efficient target reduction, and evaluating management performance. To address these challenges, we develop a systems approach for water quality management that integrates natural physical processes with human activities and their environmental impacts. In this approach, we firstly expand the concepts of headroom (amount under a permitted value) and excess (amount exceeding a permit) onto the source, spatial, and temporal domains for water quality management. We evaluate system-wide pollution contributions by simulating physical processes in a semi-distributed integrated representation using the CatchWat-SD model. We apply the model to the Upper Thames River basin and validate it using available monitoring data. We then incorporate the evaluated headroom-excess into a coordinated load allocation to enhance the efficiency and feasibility of interventions. Load allocation scenarios where headroom-excess is coordinated at different domains are generated and simulated. Finally, we evaluate the performance of these scenarios using multi-criteria metrics to demonstrate the advantages of headroom-excess coordination. Results show that urban sources, downstream sub-catchments, and dry season flows are associated with excess, thus, enabling managers to identify which cases (pollution sources, locations, and times) to focus load reductions towards. The more a load allocation strategy coordinates headroom-excess across domains, the more target reduction is allocated to the cases with excess, and the better performance it obtains in all the criteria. The study emphasises the need to incorporate headroom-excess in load allocation, which helps to improve systems-level water quality performance more efficiently. The approach can be further expanded to water quality management at multiple checkpoints for sustainable management of regional water systems.