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基于数据的概念方法,分析沿海公路对地下水位变化的脆弱性
Bruno J de Oliveira Sousa1, Bret M Webb2, Daniel B Wright3
1Department of Civil and Environmental Engineering, Auburn University, 238 Harbert Center, Auburn, AL, 36849, USA.
Journal of environmental management
|June 29, 2025
概括
一种新的数据驱动方法估计了沿海地下水位,揭示了海平面上升可能会完全和州道AL-180等公路. 这影响了沿海基础设施管理.
科学领域:
- 环境工程 环境工程
- 沿海水文学 沿海水文学
- 交通基础设施 交通基础设施
背景情况:
- 沿海公路面临水压力因素的重大风险,包括潮和地下水位 (GWLs).
- 现有的GWL预测方法通常是计算密集的,或依赖于许多假设.
- 温和水文事件对低沿海地区路面和度的影响仍未得到充分研究.
研究的目的:
- 提出一个更简单,数据驱动的方法来估计沿海公路的地下水位.
- 评估在阿拉巴马州的州道AL-180上升的浅GWL的影响.
- 为沿海公路管理提供知情决策的工具.
主要方法:
- 开发了一个基于数据的模型,用于GWL估计,受降雨,潮接近,潮波动和地下水储存的影响.
- 通过AL-180沿线的两个浅井的水位数据对模型进行了校准.
- 使用第三个浅井的数据验证了模型.
主要成果:
- 该模型实现了0.650.73的纳什-萨特克利夫效率 (NSE) 值,用于校准和0.56用于验证.
- 预计GWL数据表明,由于海平面上升,AL-180部分区域的和率可能达到100%.
- 建模框架成功评估了路面暴露在高浅GWL的路面暴露.
结论:
- 拟议的数据驱动方法为沿海GWL估计提供了一种可行的方法.
- 这些发现凸显了沿海公路对海平面上升和相关和的脆弱性.
- 该模型是沿海公路管理的宝贵工具,尽管存在假设和空间验证的局限性.
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