Intra-urban air pollution exposure prediction: a smart platform and applications using a land-use regression model

空气污染是一个全球性的威胁，估计每年全世界有700万人死于室内和室外空气污染，使其成为世界上最大的环境健康风险。改善恶劣的空气质量是国际公认的，并被纳入全球可持续发展目标的具体目标。这一问题在中国尤为明显，因为中国迅速发展的城市环境面临着巨大的压力，既要实现经济增长，又要同时改善居民的健康、生活质量，和生产力。该项目旨在开发一个公众可访问的智能平台，以预测城市内部的空气污染暴露。该项目旨在提供最先进的工具，以产生空气质量数据，并建立当地的专门知识和监测能力。我们将确定污染源，评估其重要性，为减少污染的努力提供信息，并在国家建立专业知识和能力。这将带来若干环境，社会和经济效益。容易获得、可靠的数据将使公民能够通过规划替代路线来减少空气污染，此外，它还将导致行为改变，因为公民将更加意识到他们的选择对当地环境的影响。该项目还将使立法者能够制定创新的解决方案，以解决空气质量政策问题。开发一个智能平台，包括监测空气质量和确定适应性管理对策来源的具有成本效益的工具，将为人民的健康和福祉以及生态系统的健康做出重大贡献。

Air pollution is a global threat with an estimated 7 million people dying worldwide from exposure to both indoor and outdoor air pollution every year, making it the world’s largest environmental health risk. Improving poor air quality is internationally recognised and enshrined in the targets of global sustainable development goals This problem is particularly evident in China, as its burgeoning urban environments face substantial pressures to both grow economically as well as to simultaneously improve resident’s health, quality of life, and productivity.This project seeks to develop a publicly accessible smart platform to forecast air pollution exposure at an intraurban scale. This project is designed to provide state-of-the-art tools to yield air quality data and build up local expertise and monitoring capabilities. We will be identifying sources of pollution, assessing their significance, informing efforts at their reduction, and building expertise and capacity in country.This will provide several environmental, societal, and economic benefits. Easy to access, reliable data, will empower citizens to reduce their exposure levels to air pollution through planning of alternative routes, moreover, it will also lead to behavioural change as citizens will become more aware of the results of their choices on the local environment. This project will also enable legislators to develop innovative solutions to solve air quality policy issues. The development of a smart platform including cost-effective tools to monitor air quality and identify sources for adaptive management responses will make a major contribution to people's health and wellbeing, as well as to ecosystems health.