A satellite-based, near real-time, street-level resolution air pollutants monitoring system using machine learning for personalised skin health applications

IF 2.9 4区 环境科学与生态学 Q3 ENVIRONMENTAL SCIENCES Air Quality Atmosphere and Health Pub Date : 2024-04-29 DOI:10.1007/s11869-024-01577-4
R. C. Temple, J. May, P. F. Linden, B. Latter, S. F. Wilson, M. Morelli
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Abstract

Skin exposome encapsulates all internal and environmental exposures that affect skin health. Of these, photo-pollution refers to the combined effect on human skin of the simultaneous exposure to solar radiation (especially UV) and air pollution. Providing personalised photo-pollution exposure warnings and dose monitoring to an individual through a smartphone app could help in reducing skin ageing and degradation as well as in managing skin conditions (for example Atopic Dermatitis). However, accurate monitoring is challenging without a potentially expensive or cumbersome sensor device. In this work we present an innovative satellite-based air pollutant monitoring software service, ExpoPol, developed by siHealth Ltd. ExpoPol synthesises several inputs including live satellite imagery in real-time into an artificial intelligence (AI) model to provide assessment of the exposure of a smartphone user to relevant air pollutants, such as nitrogen oxides (NOx), poly-aromatic hydrocarbons (PAH) and ozone (O3). When combined with siHealth’s patented technology HappySun® for solar radiation monitoring, ExpoPol can effectively provide a sensor-less personal skin photo-pollution dosimetry. By downscaling satellite data using local geographic data, ExpoPol is capable of monitoring pollutants with street-level resolution and global coverage in near real-time. We evaluate the accuracy of ExpoPol against ground-station monitoring data for three pollutants across three continental regions (Europe, Asia, North America) and find R2 values of 0.62, 0.65, 0.74 for PM10, PM2.5, NO2 respectively. ExpoPol is shown to be significantly more accurate than a state-of-the-art global atmospheric forecasting system (CAMS) over the same ground-station dataset and provide data on much finer spatial resolutions. The presented system can support the real-time automatic assessment of the user’s skin exposome, anywhere and anytime. This paves the way for the development of mobile applications empowering users and clinicians to make informed decisions about skin health, or assisting dermocosmetic manufacturers in the creation of personalised products for personal care (e.g., skin ageing prevention or hair care).

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基于卫星、近实时、街道级分辨率的空气污染物监测系统,利用机器学习实现个性化皮肤健康应用
皮肤暴露组包括所有影响皮肤健康的内部和环境暴露。其中,光污染是指同时暴露于太阳辐射(尤其是紫外线)和空气污染对人体皮肤的综合影响。通过智能手机应用程序为个人提供个性化的光污染暴露警告和剂量监测,有助于减少皮肤老化和退化,以及控制皮肤状况(如特应性皮炎)。然而,如果没有昂贵或笨重的传感器设备,要进行准确的监测就很困难。在这项工作中,我们介绍了由 siHealth 有限公司开发的基于卫星的创新型空气污染物监测软件服务 ExpoPol。ExpoPol 将包括实时卫星图像在内的多种输入信息综合到一个人工智能(AI)模型中,对智能手机用户暴露于相关空气污染物(如氮氧化物(NOx)、多芳烃(PAH)和臭氧(O3))的情况进行评估。当与 siHealth 用于太阳辐射监测的专利技术 HappySun® 相结合时,ExpoPol 可有效提供无传感器的个人皮肤光污染剂量测量。通过使用本地地理数据对卫星数据进行降频处理,ExpoPol 能够近乎实时地监测街道级分辨率和全球覆盖范围内的污染物。我们评估了 ExpoPol 与地面站监测数据对三大洲(欧洲、亚洲和北美)三种污染物的准确性,发现 PM10、PM2.5 和 NO2 的 R2 值分别为 0.62、0.65 和 0.74。结果表明,在相同的地面站数据集上,ExpoPol 比最先进的全球大气预报系统(CAMS)要精确得多,而且能提供更精细的空间分辨率数据。该系统可支持随时随地对用户的皮肤暴露量进行实时自动评估。这就为开发移动应用程序铺平了道路,使用户和临床医生能够对皮肤健康做出明智的决定,或协助皮肤美容制造商为个人护理(如预防皮肤老化或头发护理)创造个性化产品。
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来源期刊
Air Quality Atmosphere and Health
Air Quality Atmosphere and Health ENVIRONMENTAL SCIENCES-
CiteScore
8.80
自引率
2.00%
发文量
146
审稿时长
>12 weeks
期刊介绍: Air Quality, Atmosphere, and Health is a multidisciplinary journal which, by its very name, illustrates the broad range of work it publishes and which focuses on atmospheric consequences of human activities and their implications for human and ecological health. It offers research papers, critical literature reviews and commentaries, as well as special issues devoted to topical subjects or themes. International in scope, the journal presents papers that inform and stimulate a global readership, as the topic addressed are global in their import. Consequently, we do not encourage submission of papers involving local data that relate to local problems. Unless they demonstrate wide applicability, these are better submitted to national or regional journals. Air Quality, Atmosphere & Health addresses such topics as acid precipitation; airborne particulate matter; air quality monitoring and management; exposure assessment; risk assessment; indoor air quality; atmospheric chemistry; atmospheric modeling and prediction; air pollution climatology; climate change and air quality; air pollution measurement; atmospheric impact assessment; forest-fire emissions; atmospheric science; greenhouse gases; health and ecological effects; clean air technology; regional and global change and satellite measurements. This journal benefits a diverse audience of researchers, public health officials and policy makers addressing problems that call for solutions based in evidence from atmospheric and exposure assessment scientists, epidemiologists, and risk assessors. Publication in the journal affords the opportunity to reach beyond defined disciplinary niches to this broader readership.
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