Environmental Sustainability Systems Analysis Including Multiple Objective and Fixed Cost Optimization of Management Decisions with Watershed and Groundwater Applications

环境可持续性系统分析，包括流域和地下水应用的管理决策的多目标和固定成本优化

• 批准号: 0756575
• 负责人: Christine Shoemaker
• 金额: $ 29.99万
• 依托单位: Cornell University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-07-01 至 2012-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0756575&HistoricalAwards=false
• 关键词: Environmental; Sustainability; Systems; Analysis; Including

ABSTRACTCBET- 0756575Shoemaker, ChristineCornell UniversityEnvironmental Sustainability Systems Analysis Including MultipleObjective and Fixed Cost Optimization of Management Decisions withWatershed and Groundwater ApplicationsThis proposal study is to develop improved and computationally more efficient analysis methods that can be used to help identify the best combinations of best management practices (BMPs). The methods and analysis will focus on the control of non-point source pollution of Cannonsville watershed which provides freshwater supply to New York City. The intellectual merit of this proposal is derived from a very well characterized watershed. The PI and her group are well-qualified to carry out this ambitious project. The optimization routines are extensions of their previous work and may provide tools that speed up and reduce the cost of management procedures one of the major strengths of this excellent proposal is that the time frame extends significantly in the future (2078) so that long term trends are taken into account. The efforts to develop and extend their modeling approach are easily justified considering the need to apply such models nationwide (and likely a major effort in the Water Network). The dynamic modeling of Cannonsville watershed as proposal will also provide a test bed for future efforts as climate change affects the region. It is possible that with time the water input functions (rain) will change as may the vegetative cover. Therefore, I could envision that this modeling effort will evolve with time, as it should. In particular, the Cannonsville watershed area might provide the 'model' watershed to study so that when the model is exported to other area, the water quality monitoring can be optimized (that is the minimum number of monitoring sites employed) to maximize the data necessary for watershed modeling. If this proposal is only successful for this on watershed then it will be a success. The section of broader impacts of the proposal is also excellent and could serve a model for others.

本文的研究目的是开发一种改进的、计算效率更高的分析方法，用于帮助确定最佳管理实践（BMPs）的最佳组合。本文的研究方法和分析将集中在为纽约市提供淡水供应的坎农斯维尔流域的非点源污染控制上。 这一建议的智力价值来自一个非常明确的分水岭。PI和她的团队完全有资格执行这个雄心勃勃的项目。优化程序是他们以前工作的扩展，可以提供加速和降低管理程序成本的工具。这个优秀提案的主要优点之一是，时间范围在未来（2078年）显着延长，以便考虑长期趋势。考虑到需要在全国范围内应用这些模型（可能是水网的一项重大工作），开发和扩展其建模方法的努力很容易得到证明。 Cannonsville流域的动态建模也将为气候变化影响该地区的未来努力提供一个试验平台。随着时间的推移，水分输入功能（降雨）可能会发生变化，植被也可能发生变化。因此，我可以预见，这种建模工作将随着时间的推移而发展，这是应该的。特别是，Cannonsville流域地区可能提供的“模型”流域研究，使模型导出到其他地区时，水质监测可以优化（即监测站点的最小数量），以最大限度地提高流域建模所需的数据。如果这个建议只是成功的分水岭，那么它将是一个成功的。该提案的更广泛影响部分也很好，可以为其他人提供一个模式。