SBIR Phase I: Geographic Information Systems (GIS)-Based Decision Support Management Application to Optimize Site-Specific Environmental Stewardship

SBIR 第一阶段：基于地理信息系统 (GIS) 的决策支持管理应用程序，以优化特定地点的环境管理

• 批准号: 0060575
• 负责人: Donna Rizzo
• 金额: $ 9.95万
• 依托单位: SUBTERRANEAN RESEARCH, INC.
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2001
• 资助国家: 美国
• 起止时间: 2001-01-01 至 2001-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0060575&HistoricalAwards=false
• 关键词: SBIR; Phase; Geographic; Information; Systems

This Small Business Innovation Research (SBIR) Phase I project leads to increased productivity at environmental restoration sites through an innovative integrated application of geographic information systems (GIS), databases, simulation modeling, optimization, and artificial neural networks. The project begins with the understanding that environmental decisions involve many stakeholders, each with different priorities among several objectives. The research goals for this environmental information technology project are to: (1) identify and develop a hierarchy of neural networks that efficiently estimate uncertainty in data and predict the uncertainty as a result of monitoring and remediation decisions; (2) integrate such estimates and data into methods to optimize monitoring and remediation operations, which are coupled with large-scale simulation models used for environmental fate, transport, and risk analysis; (3) store sets of optimized results, which can include different stakeholders' objectives and constraints, in databases; and (4) present results to decision making end-users through a GIS interface. The commercial application of this research, presenting results to decision making end-users through a GIS focuses on subsurface (groundwater and soil) remediation at thousands of sites nationwide, and will be realized by licensing to firms for sales to remediation contractors. The research has near-term applications in climate, weather, air pollution, water, forest, and mineral resources, and emergency planning.

这个小企业创新研究（SBIR）第一阶段项目通过地理信息系统（GIS），数据库，模拟建模，优化和人工神经网络的创新综合应用，提高了环境恢复现场的生产力。 该项目首先认识到，环境决策涉及许多利益攸关方，每个利益攸关方在几个目标中有不同的优先事项。 该环境信息技术项目的研究目标是：（1）识别和开发一个神经网络层次结构，有效地估计数据中的不确定性，并预测监测和补救决策的不确定性;（2）将这些估计和数据纳入优化监测和补救行动的方法，并与用于环境转归的大规模模拟模型相结合，（3）在数据库中存储优化结果集，其中可包括不同利益相关者的目标和限制;以及（4）通过GIS界面将结果呈现给决策最终用户。 这项研究的商业应用，通过地理信息系统向决策最终用户提供结果，重点是全国数千个地点的地下（地下水和土壤）修复，并将通过向公司发放销售许可证来实现修复承包商。 该研究在气候，天气，空气污染，水，森林和矿产资源以及应急计划方面具有近期应用。