|From||"Wild, Oliver" <firstname.lastname@example.org>|
|Date||Sat, 30 Jan 2016 06:58:04 +0000|
I am looking for a student with a strong numerical background for a PhD project exploring the meteorological contributions to major air pollution episodes in Beijing. The project will involve running state-of-the-art air quality models to investigate the mixing and trapping of pollutants over the North China Plain, and will provide new insight into the development of hazardous smog conditions. The project involves collaboration with the leading air quality modelling team in China, and will benefit from a major joint China-UK programme on air pollution in Beijing. The studentship is competition-funded at Lancaster University and is open to international students, not just to UK and EU citizens. The student will be based in Lancaster, but will have the opportunity to visit the Chinese partners in Beijing. If you know anyone who might be interested, please forward these details; application is online through the link below, and the deadline is 14th February. Chemical Weather: Identifying the Meteorological Controls on Air Quality Supervisors: Oliver Wild (Lancaster), Zifa Wang (IAP, Beijing) Co-supervisors: Ruth Doherty (Edinburgh), Fiona O'Connor (UK Met Office) https://www.findaphd.com/search/ProjectDetails.aspx?PJID=70834&LID=722 Urban air pollution is a major problem in many parts of the world, and is particularly acute in rapidly-developing countries such as China and India. Large increases in vehicle ownership and power generation have led to more frequent and severe urban smog episodes in expanding megacities like Beijing. High levels of ozone and particulate matter have damaging impacts on human health and are responsible for 7 million deaths per year worldwide, 6 million of which are in Asia. While severe air pollution is typically attributed to precursor emissions from energy and transport use, meteorological processes play an important but poorly understood role in the transport, transformation and removal of pollutants. Stagnant, high pressure weather conditions permit the build-up of pollutants to dangerous levels, pollution haze reduces ventilation of the urban boundary layer, and winds from surrounding rural regions bring pollutants from industrial and agricultural sources which combine with urban pollutants to form hazardous smog. Control and mitigation of urban air pollution relies on a sound understanding of how these different meteorological influences combine to affect the quality of the air we breathe. This project will explore the role of meteorological processes in governing urban air quality, using Beijing as a case study. This study of “Chemical Weather” will identify and quantify the meteorological mechanisms responsible for the formation and evolution of pollution episodes. It will use a state-of-the-art numerical weather prediction and air quality model along with extensive pollutant measurements from partners in Beijing. Key scientific questions include: How do anticyclones and cold fronts drive the strong day-to-day variations seen in air quality? How does atmospheric mixing in the polluted urban boundary layer affect human exposure? How does pollutant transport from outside the city contribute to poor urban air quality? The project will deliver new understanding of the meteorological controls on urban air quality and provide the student with a strong foundation in numerical modelling, atmospheric science and their wider applications. There will be an opportunity to visit partners in Beijing to collaborate and to contribute to recently-funded UK projects addressing air quality in polluted megacities in Asia. While the principal focus will be on Beijing, we expect the findings to be of direct relevance to other cities, e.g., Delhi, and to shape policy approaches to mitigating air pollution worldwide. Further Information: http://www.lancaster.ac.uk/sci-tech/downloads/phd_263.pdf ---------------------------------- Dr. Oliver Wild Lancaster Environment Centre Lancaster University Lancaster LA1 4YQ, United Kingdom
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