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

这个小型企业创新研究(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集成应用，提高了环境恢复地点的生产率。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都有不同的优先事项。该环境信息技术项目的研究目标是：(1)确定和发展一个神经网络层次结构，以有效地估计数据中的不确定性，并预测监测和补救决策的结果；(2)将这些估计和数据整合到方法中，以优化监测和补救行动，并与用于环境命运、运输和风险分析的大型模拟模型相结合；(3)将优化结果集存储在数据库中，其中可以包括不同利益相关者的目标和约束；以及(4)通过地理信息系统接口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展示结果，重点是全国数千个地点的地下(地下水和土壤)修复，并将通过向出售给修复承包商的公司发放许可证来实现。这项研究在气候、天气、空气污染、水、森林和矿产资源以及应急计划方面都有近期的应用。

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.