一个基于图形的建模框架,用于追踪水文污染物在地表水中的运输
David L Cole1, Gerardo J Ruiz-Mercado2,3, Victor M Zavala1
1Department of Chemical and Biological Engineering, University of Wisconsin-Madison, Madison, WI 53706, United States of America.
概括
一个新的图形建模框架,HydroGraphs,简化了对水文系统中的污染物运输的分析. 它使用开源数据来识别污染源和跟踪影响,帮助环境管理.
科学领域:
- 环境科学 环境科学
- 水文学的水文学
- 数据科学数据科学数据科学
背景情况:
- 人类造成的污染对全球水系统产生重大影响.
- 现有的污染物运输模式往往是数据密集型,需要专家知识.
- 有效的数据分析和建模对于应对水文挑战至关重要.
研究的目的:
- 引入HydroGraphs,一种用于分析污染物运输和命运的新型图形建模框架.
- 为了解水文系统中的连接性和影响提供一种简化,数据驱动的方法.
- 促进环境决策中先进分析工具的应用.
主要方法:
- 开发了一个使用简化水文系统表示的图形建模框架 (HydroGraphs).
- 利用开源数据 (国家水文数据集,流域边界数据集) 来构建框架.
- 应用图形理论,拓学,优化和机器学习用于数据分析.
主要成果:
- 证明了HydroGraphs在识别来自威斯康星州农业实践的上游营养来源方面的能力.
- 在各种水体,河流和溪流中成功追踪下游污染物的影响.
- 展示了框架对小型和大型水文系统的灵活性.
结论:
- 水力图提供了一个易于使用和灵活的工具,用于理解和管理污染物运输.
- 该框架支持利益相关者设计有效的污染减缓战略.
- 水平图增强了对地表水对环境干预措施的反应的评估.
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