标题/作者	年份
Green growth and low carbon emission in G7 countries: how critical the network of environmental taxes, renewable energy and human capital is? LN Hao, M Umar, Z Khan, W Ali Science of the Total Environment 752, 141853	2021
Internet of Things mobile–air pollution monitoring system (IoT-Mobair) S Dhingra, RB Madda, AH Gandomi, R Patan, M Daneshmand IEEE Internet of Things Journal 6 (3), 5577-5584	2019
Long-term field comparison of multiple low-cost particulate matter sensors in an outdoor urban environment FMJ Bulot, SJ Johnston, PJ Basford, NHC Easton, M Apetroaie-Cristea, ... Scientific reports 9 (1), 7497	2019
Wildfire and prescribed burning impacts on air quality in the United States DA Jaffe, SM O’Neill, NK Larkin, AL Holder, DL Peterson, JE Halofsky, ... Journal of the Air & Waste Management Association 70 (6), 583-615	2020
Performance evaluation of twelve low-cost PM2. 5 sensors at an ambient air monitoring site B Feenstra, V Papapostolou, S Hasheminassab, H Zhang, ... Atmospheric Environment 216, 116946	2019
Mapping urban air quality using mobile sampling with low-cost sensors and machine learning in Seoul, South Korea CC Lim, H Kim, MJR Vilcassim, GD Thurston, T Gordon, LC Chen, K Lee, ... Environment international 131, 105022	2019
Low-cost sensors as an alternative for long-term air quality monitoring X Liu, R Jayaratne, P Thai, T Kuhn, I Zing, B Christensen, R Lamont, ... Environmental research 185, 109438	2020
Advancing environmental exposure assessment science to benefit society A Caplin, M Ghandehari, C Lim, P Glimcher, G Thurston Nature communications 10 (1), 1236	2019
Development of low-cost indoor air quality monitoring devices: Recent advancements H Chojer, P Branco, FG Martins, MCM Alvim-Ferraz, SIV Sousa Science of The Total Environment 727, 138385	2020
Incorporating low-cost sensor measurements into high-resolution PM2. 5 modeling at a large spatial scale J Bi, A Wildani, HH Chang, Y Liu Environmental Science & Technology 54 (4), 2152-2162	2020
Disruptive technologies for environment and health research: an overview of artificial intelligence, blockchain, and internet of things F M. Bublitz, A Oetomo, K S. Sahu, A Kuang, L X. Fadrique, ... International journal of environmental research and public health 16 (20), 3847	2019
From low-cost sensors to high-quality data: A summary of challenges and best practices for effectively calibrating low-cost particulate matter mass sensors MR Giordano, C Malings, SN Pandis, AA Presto, VF McNeill, ... Journal of Aerosol Science 158, 105833	2021
Performance of low-cost indoor air quality monitors for PM2. 5 and PM10 from residential sources Z Wang, WW Delp, BC Singer Building and Environment 171, 106654	2020
A review of low-cost particulate matter sensors from the developers’ perspectives B Alfano, L Barretta, A Del Giudice, S De Vito, G Di Francia, E Esposito, ... Sensors 20 (23), 6819	2020
Laboratory evaluation of particle-size selectivity of optical low-cost particulate matter sensors J Kuula, T Mäkelä, M Aurela, K Teinilä, S Varjonen, Ó González, ... Atmospheric Measurement Techniques 13 (5), 2413-2423	2020
A review of strategies for mitigating roadside air pollution in urban street canyons Y Huang, C Lei, CH Liu, P Perez, H Forehead, S Kong, JL Zhou Environmental Pollution 280, 116971	2021
Calibration of low-cost particulate matter sensors: Model development for a multi-city epidemiological study M Zusman, CS Schumacher, AJ Gassett, EW Spalt, E Austin, TV Larson, ... Environment international 134, 105329	2020
Development and application of a United States-wide correction for PM 2.5 data collected with the PurpleAir sensor KK Barkjohn, B Gantt, AL Clements Atmospheric Measurement Techniques 14 (6), 4617-4637	2021
Low-cost outdoor air quality monitoring and sensor calibration: A survey and critical analysis F Concas, J Mineraud, E Lagerspetz, S Varjonen, X Liu, K Puolamäki, ... ACM Transactions on Sensor Networks (TOSN) 17 (2), 1-44	2021
Evaluation of nine low-cost-sensor-based particulate matter monitors J Li, SK Mattewal, S Patel, P Biswas Aerosol and Air Quality Research 20 (2), 254-270	2020

1 - 20

计算机程序会自动估算并确定日期和引用次数。