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

南安普敦被确定为英国污染最严重的城市之一。市议会和南安普顿大学正在采取行动对此做出回应，并改善空气质量。到目前为止，人们对街道尺度的风知之甚少。由于受建筑物分布不均和地形极其复杂的影响，对这种局地风的预测远远超出了目前业务性天气预报的能力。现有的空气质量模式无法预测污染源近场(即小于1公里)的污染物浓度，也无法预测街道尺度的污染物浓度。南安普敦位于Rivers Test和Itchen的交汇处，而码头、炼油厂和机场这三个最重要的点源都位于市中心10公里以内。它们的扩散主要受受复杂地形影响的当地风的影响。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，并以南安普顿市为例进行研究。

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.