Urban hybriD models for AiR pollution exposure Assessment (UDARA)

用于空气污染暴露评估的城市混合模型 (UDARA)

• 批准号: NE/P014631/1
• 负责人: Gordon McFiggans
• 金额: $ 57.9万
• 依托单位: University of Manchester
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2017
• 资助国家: 英国
• 起止时间: 2017 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=NE%2FP014631%2F1
• 关键词: Urban; hybriD; models; AiR; pollution

Air pollution affects the health of the world's population. The WHO estimate that 3.7 million deaths are annually attributable to outdoor air pollution (6.7% of all deaths globally) and urged Member States to develop air quality monitoring systems and health registries to improve surveillance for all illnesses related to air pollution. Establishing and maintaining air quality monitoring infrastructure can be costly. Furthermore, air quality monitoring alone does not provide the basis for robust analysis of health outcomes or onward air quality management.Health risks due to air pollution in densely-populated Indonesian urban areas are increasingly associated with transport activities, whilst forest fire emissions further exacerbate health impacts associated with air-pollution. This represents a major health concern for Indonesia with both economic and welfare implications. In order to enable effective control measures that are feasible within wider development, welfare and economic goals, much improved quantification of the exposure of the population to pollution is required. To enable such quantification, the contributions from long-range and local sources pollutants and the availability of suitable health data to the determine health impacts of pollutant exposure must be established.The UDARA project will be a multidisciplinary collaboration between the University of Manchester and 3 Indonesian Institutions; the Institut Teknologi Bandung, National Nuclear Energy Agency of Indonesia and the University of Padjadjaran involving exposure scientists, atmospheric scientists and health scientists. The project will develop a new approach for providing reliable exposure estimates for analysing the impact of air pollution on health outcomes in Indonesian cities. It will employ a new methodology developed within the EU ESCAPE project in response to the lack of European-specific data on exposure-response relationships and the uncertainty introduced into health outcome analyses by the use of varied exposure models. ESCAPE developed standardised protocols for developing and testing LUR models, while still allowing sufficient flexibility to incorporate application specific factors. The further refinement to incorporate remote sensing and chemical transport model outputs has improved model performance in complex pollution climates such as experienced in Indonesia. The ESCAPE project involved the development of both classic and hybrid models but their performance in the sort of pollution climate seen in Indonesian urban areas has yet to be investigated. Within UDARA, we will collect new data in Jakarta, a heavily populated city with a pollution problem dominated by urban emissions, and a second city in Sumatera substantially influenced by seasonal biomass burning. The highly spatially resolved measurements of both gaseous and particulate pollutants and data from two 3D pollution models will be used within the ESCAPE methodology to derive pollutant exposure estimates for the two cities. We will additionally conduct an evaluation of the quality and quantity of Indonesian health outcome data that can be used for subsequent future epidemiological studies.UDARA will thereby provide a new methodology and robust basis for evaluating the health outcomes from air pollution exposure in Indonesia.

空气污染影响世界人口的健康。世卫组织估计，每年有370万人死于室外空气污染（占全球所有死亡人数的6.7%），并敦促会员国建立空气质量监测系统和健康登记册，以改善对与空气污染有关的所有疾病的监测。建立和维护空气质量监测基础设施的成本可能很高。此外，空气质量监测本身并不能为健康结果的可靠分析或进一步的空气质量管理提供基础。在印度尼西亚人口稠密的城市地区，空气污染造成的健康风险越来越多地与交通活动有关，而森林火灾排放进一步加剧了与空气污染相关的健康影响。这是印度尼西亚的一个重大健康问题，对经济和福利都有影响。为了能够在更广泛的发展、福利和经济目标范围内采取切实可行的有效控制措施，需要大大改进对人口受污染影响程度的量化。为了使这种量化成为可能，必须确定远距离和当地污染源的贡献以及确定污染物暴露对健康影响的适当健康数据的可用性。万隆技术研究所、印度尼西亚国家核能机构和Padjadjaran大学，参与者包括辐照科学家、大气科学家和健康科学家。该项目将开发一种新的方法，提供可靠的接触估计，以分析空气污染对印度尼西亚城市健康结果的影响。它将采用在欧盟ESCAPE项目范围内开发的新方法，以应对缺乏欧洲特定的安全-反应关系数据以及使用各种接触模型给健康结果分析带来的不确定性。ESCAPE为开发和测试LUR模型制定了标准化协议，同时仍然允许足够的灵活性来纳入应用特定因素。通过进一步完善，纳入遥感和化学迁移模型的产出，改进了模型在印度尼西亚等复杂污染气候中的性能。ESCAPE项目涉及经典和混合模型的开发，但它们在印度尼西亚城市地区污染气候中的表现还有待研究。在UDARA中，我们将收集雅加达的新数据，雅加达是一个人口稠密的城市，污染问题主要是城市排放，苏门答腊的第二个城市受到季节性生物质燃烧的影响。气体和颗粒污染物的高度空间分辨测量和两个三维污染模型的数据将用于ESCAPE方法中，以获得两个城市的污染物暴露估计。此外，我们还将对印度尼西亚健康结果数据的质量和数量进行评估，这些数据可用于后续的流行病学研究。UDARA将为评估印度尼西亚空气污染暴露的健康结果提供新的方法和可靠的基础。

项目成果

Developing land use regression models for environmental science research using the XLUR tool - More than a one-trick pony

使用 XLUR 工具开发用于环境科学研究的土地利用回归模型 - 不仅仅是一招小马

• DOI: 10.1016/j.envsoft.2021.105108
• 发表时间: 2021
• 期刊: Environmental Modelling & Software
• 影响因子: 4.9
• 作者: Mölter A

XLUR: A land use regression wizard for ArcGIS Pro

XLUR：ArcGIS Pro 的土地利用回归向导

• DOI: 10.21105/joss.02177
• 发表时间: 2020
• 期刊: Journal of Open Source Software
• 作者: Molter A

EVALUATION OF ALPHASENSE OPC-N2 SENSOR FOR PM10 MEASUREMENT IN THE NORTH JAKARTA

评估用于雅加达北部 PM10 测量的 ALPHASEENSE OPC-N2 传感器

• DOI: 10.11113/aej.v12.17853
• 发表时间: 2022
• 期刊: ASEAN Engineering Journal
• 作者: Imami A