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可持续地下水管理的建模:基于过程,数据驱动和系统动态方法的相互依赖性和潜在互补性
Daniele Secci1, Ali Kerem Saysel2, İzel Uygur3
1Department of Engineering and Architecture, University of Parma, Parma, Italy.
The Science of the total environment
|August 18, 2024
概括
这项研究比较了基于过程,数据驱动和系统动态的地下水建模. 为有效地管理地下水资源,建议采用综合方法.
科学领域:
- 水文学的水文学
- 环境建模环境建模
- 水资源管理 水资源管理
背景情况:
- 地下水系统是支持人类需求和生态系统的重要自然水库.
- 管理复杂,动态的地下水系统需要先进的建模技术.
- 评估了三种不同的建模方法,以评估它们在地下水管理中的应用.
研究的目的:
- 讨论基于过程,数据驱动和系统动态建模的优点和局限性.
- 用土耳其的科尼亚封闭盆地来演示这些建模方法.
- 突出加强地下水管理的综合建模的需要.
主要方法:
- 基于过程的建模:理论驱动,计算密集,参数敏感.
- 数据驱动的建模:高效,依赖于广泛的数据集,适合实时应用.
- 系统动态建模:将社会经济和决策整合到政策制定中.
主要成果:
- 基于过程的模型对于具有定义场景的资源管理具有强大作用.
- 数据驱动模型在有足够数据的情况下表现出色,非常适合用于决策支持系统.
- 系统动态建模通过纳入社会经济因素来帮助政策制定.
结论:
- 每种建模方法都有独特的优势和局限性.
- 科尼亚封闭盆地案例研究说明了这些模型的实际应用.
- 综合使用这些建模方法对于全面的地下水管理至关重要.
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