李岱远,施睿,吴永祥,等. 变化环境下区域海水入侵数值模拟与影响因素分析[J]. 水利水运工程学报.. doi: 10.12170/20231104003
引用本文: 李岱远,施睿,吴永祥,等. 变化环境下区域海水入侵数值模拟与影响因素分析[J]. 水利水运工程学报.. doi: 10.12170/20231104003
(LI Daiyuan, SHI Rui, WU Yongxiang, et al. Examining regional seawater intrusion through numerical simulations amid environmental changes and analyzing influencing factors[J]. Hydro-Science and Engineering(in Chinese)). doi: 10.12170/20231104003
Citation: (LI Daiyuan, SHI Rui, WU Yongxiang, et al. Examining regional seawater intrusion through numerical simulations amid environmental changes and analyzing influencing factors[J]. Hydro-Science and Engineering(in Chinese)). doi: 10.12170/20231104003

变化环境下区域海水入侵数值模拟与影响因素分析

Examining regional seawater intrusion through numerical simulations amid environmental changes and analyzing influencing factors

  • 摘要: 为科学防治海水入侵,保护沿海地区生态环境,本文以山东省龙口市为例,构建了SEAWAT海水入侵数值模型,通过情景分析法定量评估了海水入侵影响因子,针对性提出了地下水开发利用对策,并预测了未来海水入侵发展趋势。结果表明,构建的数值模型可以准确模拟地下水位时空变化,很好反映海水入侵发展变化。模型检验期内地下水位模拟值与观测值的均方根误差(RMSE)、绝对平均误差(MAE)和平均相对误差(MRE)分别为0.903 m、0.811 m和8.78%,氯离子浓度模拟值与观测值的RMSE、MAE和MRE分别为51.61 mg/L、41.52 mg/L和9.61%。地下水开采和降水是龙口市海水入侵变化的主要影响因素,其中北马镇等北部沿海地区是地下水管控的重点区域。在现状地下水开采条件下,未来龙口市海水入侵面积总体上呈现减小趋势,到2050年末预计为128.67 km2。沿海地区应考虑丰枯水年变化对地下水可开采量的影响,同时实施分区动态开采管控,能有效防控海水入侵。该研究对海水入侵演变、影响因素识别以及沿海地区地下水开发利用等具有重要参考价值。

     

    Abstract: To safeguard the ecological environment and effectively combat seawater intrusion (SI), a variable-density SI numerical model was developed in Longkou City. This model, based on SEAWAT, enables a scientific approach to prevention and control. By conducting scenario analyses, the quantitative assessment of SI's influencing factors was accomplished. Furthermore, measures for groundwater utilization to counter SI were proposed. The study also presents a projection of SI trends from 2018 to 2050. The findings demonstrate that the numerical model accurately simulates the spatiotemporal variations in groundwater levels and effectively captures SI's progression. Evaluation during the testing phase yielded root mean square error (RMSE), mean absolute error (MAE), and mean relative error (MRE) values of 0.903 m, 0.811 m, and 8.78%, respectively, for groundwater levels. Correspondingly, RMSE, MAE, and MRE values for chloride concentration in the monitoring well were 51.61 mg/L, 42.52 mg/L, and 9.61%, respectively. Moreover, the quantitative assessment revealed that groundwater pumping and precipitation exerted significant influences on SI dynamics, with the northern coastal regions, such as Beima Town, being crucial areas for groundwater management. The predictive analysis indicates a declining trend in SI, with an estimated SI area of approximately 128.67 km2 by the end of 2050. Consequently, future management strategies should account for the impact of wet and dry years on exploitable groundwater reserves. Additionally, implementing partitioned groundwater management measures can effectively mitigate SI risks. This study holds substantial significance for understanding the evolution of SI, identifying its influencing factors, and ensuring sustainable groundwater development and utilization in coastal regions.

     

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