High fidelity modelling of city-scale environment - a case study

城市规模环境的高保真度建模 - 案例研究

• 批准号: 1984064
• 金额: --
• 依托单位: University of Southampton
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2018
• 资助国家: 英国
• 起止时间: 2018 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-1984064
• 关键词: fidelity; modelling; city; scale; environment

Southampton has been identified as one of the most polluted cities in the UK. The city council and the University of Southampton are taking actions to respond to this and to improve the air quality. So far little is understood about street scale winds. The prediction of such local wind is far beyond the capability of the current operational weather forecast, because it is significantly affected by the heterogeneously placed buildings and the extremely complex terrain. Prediction of the pollutant concentration in the near field (i.e. less than 1 km) of the source or the prediction within street scale is not possible by using the current available air quality models.Southampton lies at the confluence of the Rivers Test and Itchen, while the three most important point sources, i.e. the dock, the oil refinement site and the airport, are all within 10 km of the city centre. Their dispersion is dominated by the local winds affected by the complex terrain. This makes the numerical and physical modelling even more challenging. Therefore we are proposing to tackle these issues and taking Southampton city as a case study.

南安普顿已被确定为英国污染最严重的城市之一。市理事会和南安普顿大学正在采取行动对此作出回应，并改善空气质量。到目前为止，人们对街道风的了解还很少。由于受建筑物分布不均和地形极其复杂的影响，这种局地风的预测远远超出了当前业务天气预报的能力。使用现有的空气质量模型，无法预测污染源近场（即小于1公里）的污染物浓度或街道范围内的污染物浓度。南安普顿位于河流试验和伊琴的交汇处，而三个最重要的点污染源，即码头、炼油厂和机场，都在市中心10公里以内。它们的散布主要受当地风的影响，受复杂地形的影响。这使得数值和物理建模更具挑战性。因此，我们建议解决这些问题，并以南安普顿市为案例研究。