RCUK-SEA - High Density Air Quality Monitoring in the Klang Valley (Malaysia) - A New High Resolution Observational Capability.

GSTDTAP

项目编号	NE/P020941/1
	RCUK-SEA - High Density Air Quality Monitoring in the Klang Valley (Malaysia) - A New High Resolution Observational Capability.
	Mohammed Iqbal Mead
主持机构	Cranfield University
项目开始年	2017
	2017-02-14
项目结束日期	2019-08-13
资助机构	UK-NERC
项目类别	Research Grant
国家	英国
语种	英语
英文摘要	South East (SE) Asia is one of the most densely populated regions in the world with widespread rapid industrialisation and population growth (with an urban shift). In air quality (AQ) terms, pollutant emissions and exposed populations are both increasing. In addition, regional land use change, deforestation and biomass burning are all occurring within an atmospherically turbulent and energetic region. AQ monitoring is needed on a spectrum of scales ranging from street to regional if distributions and levels are to be understood and modelled effectively and policy most efficiently designed and implemented. The emergence of new low-cost miniaturised sensor technologies in the environmental sciences has led to a huge increase in both available data and a potential for collecting new data. AQ observational studies can therefore be undertaken at higher resolutions and be coupled with numerical models resolving at finer scales. Existing AQ monitoring at national levels is undertaken using networks of static pollution monitoring sites which due to their cost, size and logistical requirements tend to be relatively sparse. The Greater Klang Valley (GKV) area includes the city of Kuala Lumpur (KL) as well as the surrounding municipal areas. It has a population of approximately 7 million and contains significant industrial activity as well as a number of ground, sea and air transport hubs including one major international airport. An emerging and important opportunity in the UK and globally is how to merge emerging low-cost sensing technologies with existing high resolution networks. Studies are needed to establish the scales (time and space) of measurements needed to fundamentally understand the distributions of pollutants in and around urban areas in the context of the Energy-Food-Environment nexus. Fine scale distributions of pollutants are not well studied in the horizontal with even larger uncertainties in the vertical. As new sensor technologies are deployed, models need to adapt to use high resolution multi capability sensing to optimise the information content derived from adding high density network data. KL is an established regional megacity with a regional emissions footprint and its successful economic and growth pattern is being replicated across SE Asia. Understanding AQ distribution in KL and defining best practice for AQ monitoring and modelling in KL will have broad implications across SE Asia. The lessons learnt will be valuable in applying these technologies and methodologies across SE Asia which has shown to be routinely affected by episodes of very poor air quality as well as in the UK and developing economies. This project will use low-cost miniaturised sensors to augment and expand existing relatively sparse monitoring networks. They will be deployed in a case study in Malaysia, specifically in KL and the surrounding GKV area. The results will be analysed using dispersion modelling tools widely used by regulatory bodies.
来源学科分类	Natural Environment Research
文献类型	项目
条目标识符	http://119.78.100.173/C666/handle/2XK7JSWQ/86592
专题	环境与发展全球科技态势
推荐引用方式 GB/T 7714	Mohammed Iqbal Mead.RCUK-SEA - High Density Air Quality Monitoring in the Klang Valley (Malaysia) - A New High Resolution Observational Capability..2017.