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整合数值建模和基于情景的敏感性分析进行海水入侵管理:以复杂非均质岛屿含水层系统为例。

Integrating numerical modelling and scenario-based sensitivity analysis for saltwater intrusion management: case study of a complex heterogeneous island aquifer system.

机构信息

Discipline of Civil Engineering, College of Science & Engineering, James Cook University, Townsville, Queensland, 4811, Australia.

Global Centre for Environmental Remediation, College of Engineering, Science and Environment, The University of Newcastle, Callaghan, NSW, 2308, Australia.

出版信息

Environ Monit Assess. 2023 Apr 11;195(5):553. doi: 10.1007/s10661-023-11159-z.

Abstract

Population growth, industrialisation and increasing agricultural demands have significantly stressed groundwater resources in Pacific Island countries (PICs). Climate change and sea-level rise also affect the groundwater resources in PICs. These anthropogenic and natural factors give rise to saltwater intrusion (SWI), a major growing environmental problem in the PICs. SWI is a highly non-linear process which makes it more complex to manage. However, with the help of numerical modelling, SWI can be monitored, managed and controlled. In the present study, we used an illustrative study area where the hydrogeological parameters and other boundary conditions used are similar to the PICs aquifer systems in Vanuatu. The scenarios include changing the barrier wells, injection wells, recharge, hydraulic head, hydraulic conductivity and grid size. The numerical simulation model of the study area was developed, and different scenarios were tested using SEAWAT modules. Apart from salt, we also modelled leachate and engine oil present in the investigated study area to see how it affects the freshwater wells over time. The scenario-based sensitivity analysis tests indicate that injection wells, recharge and hydraulic conductivities are highly sensitive, and with the proper modification, SWI can be managed or regulated. The sensitivity of grid size showed that the simulated results varied within the 10% range of different gird sizes. Moreover, it was also found that the rise in sea level or coastal heads by 0.3-1 m does not significantly cause further SWI encroachment in aquifers. The results from this study are very crucial in this modern era when freshwater needs in coastal areas, especially PICs, are rapidly increasing, and fresh groundwater resources are declining. The novel outcome presented in this study opens pathways for further detailed modelling and numerical studies in the field of SWI management strategy development and is, therefore, beneficial for policymakers, groundwater modellers and general scientific communities.

摘要

人口增长、工业化和不断增长的农业需求给太平洋岛国(PICs)的地下水资源带来了巨大压力。气候变化和海平面上升也影响了 PICs 的地下水资源。这些人为和自然因素导致了海水入侵(SWI),这是 PICs 中一个日益严重的环境问题。SWI 是一个高度非线性的过程,使得它更难管理。然而,借助数值模拟,可以对 SWI 进行监测、管理和控制。在本研究中,我们使用了一个说明性的研究区域,该区域的水文地质参数和其他边界条件与瓦努阿图的 PICs 含水层系统相似。这些情景包括改变阻隔井、注入井、补给、水头、水力传导率和网格大小。研究区域的数值模拟模型已经建立,并且使用 SEAWAT 模块测试了不同的情景。除了盐度,我们还模拟了研究区域中存在的渗滤液和发动机油,以了解它们随时间如何影响淡水井。基于情景的敏感性分析测试表明,注入井、补给和水力传导率非常敏感,通过适当的修改,可以管理或调节 SWI。网格大小的敏感性表明,模拟结果在不同网格大小的 10%范围内变化。此外,还发现海平面或海岸水头上升 0.3-1 米并不会显著导致含水层中 SWI 进一步入侵。在这个现代时代,沿海地区,特别是 PICs,对淡水的需求迅速增长,而新鲜地下水资源却在减少,因此,本研究的结果非常重要。本研究提出的新颖结果为进一步开展 SWI 管理策略开发领域的详细建模和数值研究开辟了道路,因此对政策制定者、地下水建模者和一般科学界都有益处。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/72f8/10090028/64b197a7d929/10661_2023_11159_Fig1_HTML.jpg

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