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Refinado por: assunto: Air Pollution remover assunto: Particulate Matter remover
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The Imperial County Community Air Monitoring Network: A Model for Community-based Environmental Monitoring for Public Health Action
The Imperial County Community Air Monitoring Network: A Model for Community-based Environmental Monitoring for Public Health Action
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The Imperial County Community Air Monitoring Network: A Model for Community-based Environmental Monitoring for Public Health Action

English, Paul B ; Olmedo, Luis ; Bejarano, Ester ; Lugo, Humberto ; Murillo, Eduardo ; Seto, Edmund ; Wong, Michelle ; King, Galatea ; Wilkie, Alexa ; Meltzer, Dan ; Carvlin, Graeme ; Jerrett, Michael ; Northcross, Amanda

Environmental health perspectives, 2017-07, Vol.125 (7), p.074501 [Periódico revisado por pares]

United States: National Institute of Environmental Health Sciences

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12
Miniaturized Monitors for Assessment of Exposure to Air Pollutants: A Review
Miniaturized Monitors for Assessment of Exposure to Air Pollutants: A Review
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Miniaturized Monitors for Assessment of Exposure to Air Pollutants: A Review

Borghi, Francesca ; Spinazzè, Andrea ; Rovelli, Sabrina ; Campagnolo, Davide ; Del Buono, Luca ; Cattaneo, Andrea ; Cavallo, Domenico M

International journal of environmental research and public health, 2017-08, Vol.14 (8), p.909 [Periódico revisado por pares]

Switzerland: MDPI AG

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13
A critical evaluation of air quality index models (1960–2021)
A critical evaluation of air quality index models (1960–2021)
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A critical evaluation of air quality index models (1960–2021)

K, Priti ; Kumar, Prashant

Environmental monitoring and assessment, 2022-04, Vol.194 (5), p.324-324, Article 324 [Periódico revisado por pares]

Cham: Springer International Publishing

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14
Determination of the physical domain for air quality monitoring stations using the ANP-OWA method in GIS
Determination of the physical domain for air quality monitoring stations using the ANP-OWA method in GIS
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Determination of the physical domain for air quality monitoring stations using the ANP-OWA method in GIS

Kazemi-Beydokhti, M. ; Abbaspour, R. Ali ; Kheradmandi, M. ; Bozorgi-Amiri, A.

Environmental monitoring and assessment, 2019-06, Vol.191 (Suppl 2), p.299-17, Article 299 [Periódico revisado por pares]

Cham: Springer International Publishing

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15
Using deep ensemble forest for high-resolution mapping of PM2.5 from MODIS MAIAC AOD in Tehran, Iran
Using deep ensemble forest for high-resolution mapping of PM2.5 from MODIS MAIAC AOD in Tehran, Iran
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Using deep ensemble forest for high-resolution mapping of PM2.5 from MODIS MAIAC AOD in Tehran, Iran

Bagheri, Hossein

Environmental monitoring and assessment, 2023-03, Vol.195 (3), p.377-377, Article 377 [Periódico revisado por pares]

Cham: Springer International Publishing

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16
Are dense networks of low-cost nodes really useful for monitoring air pollution? A case study in Staffordshire
Are dense networks of low-cost nodes really useful for monitoring air pollution? A case study in Staffordshire
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Are dense networks of low-cost nodes really useful for monitoring air pollution? A case study in Staffordshire

Frederickson, Louise Bøge ; Sidaraviciute, Ruta ; Schmidt, Johan Albrecht ; Hertel, Ole ; Johnson, Matthew Stanley

Atmospheric chemistry and physics, 2022-11, Vol.22 (21), p.13949-13965 [Periódico revisado por pares]

Katlenburg-Lindau: Copernicus GmbH

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17
Concentrations of criteria pollutants in the contiguous U.S., 1979 - 2015: Role of prediction model parsimony in integrated empirical geographic regression
Concentrations of criteria pollutants in the contiguous U.S., 1979 - 2015: Role of prediction model parsimony in integrated empirical geographic regression
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Concentrations of criteria pollutants in the contiguous U.S., 1979 - 2015: Role of prediction model parsimony in integrated empirical geographic regression

Kim, Sun-Young ; Bechle, Matthew ; Hankey, Steve ; Sheppard, Lianne ; Szpiro, Adam A ; Marshall, Julian D Giorgi, Emanuele

PloS one, 2020-02, Vol.15 (2), p.e0228535 [Periódico revisado por pares]

United States: Public Library of Science

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18
A 6-year-long (2013–2018) high-resolution air quality reanalysis dataset in China based on the assimilation of surface observations from CNEMC
A 6-year-long (2013–2018) high-resolution air quality reanalysis dataset in China based on the assimilation of surface observations from CNEMC
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A 6-year-long (2013–2018) high-resolution air quality reanalysis dataset in China based on the assimilation of surface observations from CNEMC

Kong, Lei ; Tang, Xiao ; Zhu, Jiang ; Wang, Zifa ; Li, Jianjun ; Wu, Huangjian ; Wu, Qizhong ; Chen, Huansheng ; Zhu, Lili ; Wang, Wei ; Liu, Bing ; Wang, Qian ; Chen, Duohong ; Pan, Yuepeng ; Song, Tao ; Li, Fei ; Zheng, Haitao ; Jia, Guanglin ; Lu, Miaomiao ; Wu, Lin ; Carmichael, Gregory R

Earth system science data, 2021-02, Vol.13 (2), p.529-570 [Periódico revisado por pares]

Katlenburg-Lindau: Copernicus GmbH

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19
Advantages and challenges of the implementation of a low-cost particulate matter monitoring system as a decision-making tool
Advantages and challenges of the implementation of a low-cost particulate matter monitoring system as a decision-making tool
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Advantages and challenges of the implementation of a low-cost particulate matter monitoring system as a decision-making tool

Caquilpán P, Víctor ; Aros G, Gabriel ; Elgueta A, Sebastián ; Díaz S, Rodrigo ; Sepúlveda K, Gonzalo ; Sierralta J, Carlos

Environmental monitoring and assessment, 2019-11, Vol.191 (11), p.667-20, Article 667 [Periódico revisado por pares]

Cham: Springer International Publishing

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20
Low-Cost Sensor Node for Air Quality Monitoring: Field Tests and Validation of Particulate Matter Measurements
Low-Cost Sensor Node for Air Quality Monitoring: Field Tests and Validation of Particulate Matter Measurements
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Low-Cost Sensor Node for Air Quality Monitoring: Field Tests and Validation of Particulate Matter Measurements

Schilt, Ueli ; Barahona, Braulio ; Buck, Roger ; Meyer, Patrick ; Kappani, Prince ; Möckli, Yannis ; Meyer, Markus ; Schuetz, Philipp

Sensors (Basel, Switzerland), 2023-01, Vol.23 (2), p.794 [Periódico revisado por pares]

Switzerland: MDPI AG

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Deste Autor:

  1. Saiki, M
  2. Benachi, A
  3. Andrade, L
  4. Carvalho, M
  5. Ferreira, A

Neste Assunto:

  1. Air Pollution
  2. Particulate Matter
  3. Air Pollution
  4. Particulate Matter
  5. Science & Technology

  • Realização: ABCD-USP USP   Logos de Redes Sociais: Freepik

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