MOVES-Matrix and Distributed Computing For Region-Level Line Source Dispersion Analysis
| 项目名称： | MOVES-Matrix and Distributed Computing For Region-Level Line Source Dispersion Analysis |
| 摘要： | This dissertation builds a framework for regional-level microscale pollutant dispersion analysis using MOVES-Matrix and distributed computing across multiple dispersion models (CALINE3, CALINE4, CAL3QHC, R-LINE, and AERMOD). The advanced framework for line source dispersion analysis results in huge savings in computing cost and time compared to traditional methods. However, due to the limited number of links allowed for individual model runs, line source dispersion analysis in regional-level is challenging. Preparing the extensive inputs for use in regional-level analysis across all models is also challenging (e.g., road geometry information, meteorology inputs, receptor locations, etc.). Therefore, advanced techniques to efficiently prepare the extensive input datasets are needed. This research addresses the variety of complexities across five dispersion models. Advanced techniques are implemented to efficiently prepare the extensive input datasets that are needed to undertake complex regional analyses. A case study for a large-scale transportation project (e.g., HOV to HOT conversion) is implemented to: 1) assess model performance, 2) and assess the relative environmental impacts defined by the tools for complex projects. |
| 状态： | Active |
| 资金： | 10000 |
| 资助组织： | Office of the Assistant Secretary for Research and Technology |
| 管理组织： | Georgia Institute of Technology, Atlanta |
| 项目负责人： | lacobucci, Lauren |
| 执行机构： | Georgia Institute of Technology, Atlanta |
| 主要研究人员： | Kim, Daejin |
| 开始时间： | 20180401 |
| 预计完成日期： | 20200731 |
| 实际结束时间： | 0 |
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