Impact of climate change on multi-objective management of seawater intrusion in coastal karst aquifers in Zhoushuizi district of Dalian City, China

Zhao, Jie; Lin, Jin; Wu, Jianfeng; Wu, Jichun

Impact of climate change on multi-objective management of seawater intrusion in coastal karst aquifers in Zhoushuizi district of Dalian City, China | Impact du changement climatique sur la gestion multi-objectifs de l’intrusion d’eau de mer au sein des aquifères karstiques côtiers dans le district de Zhoushuizi de la Ville de Dalian, Chine Impacto del cambio climático en una gestión multiobjetivo de la intrusión de agua de mar en los acuíferos kársticos costeros del distrito de Zhoushuizi en la ciudad de Dalian, China 气候变化对中国大连市周水子地区喀斯特含水层海水入侵区地下水多目标优化管理的影响 Impacto da mudança climática na gestão multiobjetivo da intrusão de água do mar em aquíferos cársticos costeiros no distrito de Zhoushuizi na cidade de Dalian, China

2021

Zhao, Jie | Lin, Jin | Wu, Jianfeng | Wu, Jichun

Combined simulation-optimization modeling is an essential tool for coastal groundwater management. However, determining the appropriate simulation-optimization approach for specific seawater intrusion problems remains a significant challenge, especially for the real-world conditions associated with management of complex groundwater systems, competing management objectives, and global concerns of future climate change. In this study, a linked multi-objective simulation-optimization framework, the MOSWTGA (multi-objective optimal code, coupling SEAWAT and an improved genetic algorithm), was applied to a coastal groundwater system in Zhoushuizi district of Dalian City in northern China. The system has fractured karst aquifers and is modelled for the next 20 years (from 2010) under the moderate greenhouse gas concentration scenario RCP4.5 (representative concentration pathways) in the CNRM (Centre National de Recherches Météorologiques) and MIROC (Model for Interdisciplinary Research on Climate) climate modes derived from the Coupled Model Intercomparison Project Phase 5 (CMIP5). The MOSWTGA was developed by integrating the density-dependent groundwater flow and solute transport code SEAWAT with a genetic algorithm improved by adding the Pareto-dominated ranking module, Pareto solution set filter, and fitness sharing procedure. A set of near Pareto-optimal solutions of the trade-off between the maximum of the total pumping rate and the minimum of the extent of seawater intrusion was obtained. The study tried to provide a theoretical basis for real-world groundwater management under the given conditions.

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