scholarly journals Air Monitoring Network at Tonopah Test Range: Network Description, Capabilities, and Analytical Results

2012 ◽  
Author(s):  
William T. Hartwell ◽  
Jeffrey Daniels ◽  
George Nikolich ◽  
Craig Shadel ◽  
Ken Giles ◽  
...  
Keyword(s):  
Monitoring Network ◽  
Air Monitoring ◽  
Test Range ◽  
Analytical Results

Principles and Methods of Ecological Safety Management Through the Data of Air Monitoring Network Analysis

2019 ◽  
Vol 41 (4) ◽  
pp. 85-102 ◽  
Author(s):  
A.V. Iatsyshyn ◽  
◽  
Yu. G. Kutsan ◽  
V.O. Artemchuk ◽  
I.P. Kameneva ◽  
...  
Keyword(s):  
Network Analysis ◽  
Safety Management ◽  
Monitoring Network ◽  
Air Monitoring ◽  
Ecological Safety

Design of an optimum air monitoring network for exposure assessments

1967 ◽  
Vol 21 (6) ◽  
pp. 1393-1410 ◽  
Author(s):  
John Langstaff ◽  
Christian Seigneur ◽  
Liu Mei-Kao ◽  
Joseph Behar ◽  
James L. McElroy
Keyword(s):  
Monitoring Network ◽  
Air Monitoring

scholarly journals The TOMPs ambient air monitoring network – Continuous data on UK air quality for over 20 years

2016 ◽  
Vol 217 ◽  
pp. 42-51 ◽  
Author(s):  
Carola Graf ◽  
Athanasios Katsoyiannis ◽  
Kevin C. Jones ◽  
Andrew J. Sweetman
Keyword(s):  
Air Quality ◽  
Monitoring Network ◽  
Ambient Air ◽  
Air Monitoring ◽  
Continuous Data ◽  
Ambient Air Monitoring

Developing a Community-Engaged Low-Cost Air Monitoring Network in Seattle, Washington

2018 ◽  
Vol 2018 (1) ◽  
Author(s):  
Nancy Carmona ◽  
Roxanne Garcia ◽  
Natalia Kowalchuk ◽  
Edmund Seto ◽  
Lianne Sheppard ◽  
...  
Keyword(s):  
Low Cost ◽  
Monitoring Network ◽  
Air Monitoring

scholarly journals Assessment of the environmental situation in Krasnoyarsk using remote sensing data

2021 ◽  
Author(s):  
K.V. Krasnoshchekov ◽  
O.E. Yakubailik
Keyword(s):  
Remote Sensing ◽  
Monitoring System ◽  
Monitoring Network ◽  
Remote Sensing Data ◽  
Air Monitoring ◽  
Coefficient Of Determination ◽  
Scientific Center ◽  
Sensing Data ◽  
Environmental Situation ◽  
Analytical System

The data on ground concentrations of aerosols and small gas components (particulate matter PM2.5 and sulfur dioxide NO2) were compared with remote sensing data obtained over the territory of Krasnoyarsk from June to August 2020. We use the air monitoring system of the Krasnoyarsk Scientific Center of the Siberian Branch of the Russian Academy of Sciences (KSC SB RAS) to determine the concentration of PM2.5. NO2 concentrations were taken according to the data of the State departmental information and analytical system of the Ministry of Ecology of the region. It is shown that the remote sensing data of the MODIS MAIAC algorithm with a spatial resolution of 1 km can be used to determine the concentration of PM2.5 as an addition to the data obtained by the ground-based air monitoring system of the KSC SB RAS. The MAIAC data were calculated using two different models and are given to the measurement system used in the KSC SB RAS monitoring network. A high coefficient of determination between satellite and ground monitoring data was obtained. Determination coefficients were also obtained for NO2, showing how applicable the remote sensing data are for assessing the environmental situation in Krasnoyarsk.

scholarly journals Tonopah Test Range Air Monitoring: CY2012 Meteorological, Radiological, and Airborne Particulate Observations

2013 ◽  
Author(s):  
Steve A Mizell ◽  
George Nikolich ◽  
Craig Shadel ◽  
Greg McCurdy ◽  
Julianne J Miller
Keyword(s):  
Air Monitoring ◽  
Airborne Particulate ◽  
Test Range
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