Satellite-based aerosol mapping over megacities: Development of methodology and application in health and climate related studies

该项目双管齐下，解决珠江三角洲（珠三角）与健康和气候相关的问题。比勒费尔德大学（UBI）与中国疾病预防控制中心在珠三角建立疾病负担评估的同时，开发了一种基于卫星的方法来检索珠三角地区的高分辨率柱状气溶胶数据。高分辨率的地面气溶胶测量和相关测试的必要的仪器开发将在莱比锡在头2年内完成，而北京大学（北大）检索气溶胶信息与现有的方法从MODIS数据在珠三角。这一反演方法需要进一步发展，用于地球静止卫星数据，并通过在珠三角的两次验证活动期间进行的机载表面气溶胶测量和补充表面和边界层气溶胶数据进行验证。基于珠三角现有的健康统计数据和他们的批判性评价，我们将使用人口健康的简要措施，主要疾病负担的详细地图，试图具体说明这些评估珠三角亚人群（移民，流动人口，边缘住区居民）。在卫星获得的气溶胶信息的帮助下，疾病负担数据将与环境照射联系起来，并将在考虑到风险因素和疾病负担的未来趋势的情况下进行预测。本研究将探讨如何利用数学模型来改善珠三角地区人口健康的综合指标。卫星收集的气溶胶数据将与马克斯-普朗克化学研究所的全球模式模拟相结合，以分析珠三角的空气污染足迹及其对全球气候的影响。

With a two-pronged approach this project addresses health and climate related issues in the Pearl River Delta (PRD). While burden of disease assessments are being established by Bielefeld University (UBI) with the Chinese Center for Disease Control and Prevention in PRD a satellite based methodology to retrieve high-resolution columnar aerosol data over PRD is developed. The necessary instrumental development for high-resolution surface albedo measurements and related testing will be done over Leipzig during the first 2 years while Peking University (PKU) retrieves aerosol information with existing methodology from MODIS data over PRD. This retrieval method will need to be developed further for geostationary satellite data and be validated by means of airborne surface albedo measurements and complementary surface and boundary layer aerosol data taken during 2 validation campaigns in PRD. Based on an inventory of existing health statistics for the PRD and their critical evaluation, we will use summary measures of population health for a detailed mapping of major disease burdens with the attempt to specify these assessments for PRD subpopulations (migrants, floating populations, inhabitants of marginal settlements). With the help of the satellite-derived aerosol information the burden of disease data will be associated with environmental exposures and projections will be made considering future trends of risk factor and disease burden. It will be explored how mathematical modeling can be used for improvements of summary measures of population health in PRD. The satellite derived aerosol data will be combined with global model simulations by the Max-Planck-Institute for Chemistry to analyze the air pollution footprint of PRD and its effect on global climate.