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Land Use Regression Models of On-Road Particulate Air Pollution (Particle Number, Black Carbon, PM2.5, Particle Size) Using Mobile Monitoring, и . Environmental Science & Technology, 49 (15): 9194-9202 (2015)PMID: 26134458.rtimicropem: an R package supporting the analysis of RTI MicroPEM output files., , , , и . J. Open Source Softw., 2 (16): 333 (2017)Within-urban variability in ambient air pollution: comparison of estimation methods, , и . Atmospheric Environment, 42 (6): 1359--1369 (2008)Spatiotemporal Land Use Regression Models of Fine, Ultrafine, and Black Carbon Particulate Matter in New Delhi, India, , , , , и . Environmental Science & Technology, 47 (22): 12903-12911 (2013)PMID: 24087939.Global Land Use Regression Model for Nitrogen Dioxide Air Pollution, , , , , , , и . Environmental Science & Technology, 51 (12): 6957-6964 (2017)PMID: 28520422.Satellite-based NO2 and model validation in a national prediction model based on universal kriging and land-use regression, , , , , , и . Environmental science & technology, 50 (7): 3686--3694 (2016)Application of an Ultra-Low-Cost Passive Sampler for Light-Absorbing Carbon in Mongolia., , , , , , , , , и 2 other автор(ы). Sensors, 23 (21): 8977 (ноября 2023)High-resolution air pollution mapping with Google street view cars: exploiting big data, , , , , , , , , и . Environmental Science & Technology, 51 (12): 6999--7008 (2017)Developing a Low-Cost Passive Method for Long-Term Average Levels of Light-Absorbing Carbon Air Pollution in Polluted Indoor Environments., , , , , , , , , и 1 other автор(ы). Sensors, 20 (12): 3417 (2020)