In environmental research, missing data are often a challenge for statistical modeling. This paper addressed some advanced techniques to deal with missing values in a data set measuring air quality using a multiple imputation (MI) approach.
Ahmad R. Alsaber +2 more
semanticscholar +1 more source
Contributions of natural and anthropogenic sources to ambient ammonia in the Athabasca Oil Sands and north-western Canada [PDF]
Atmospheric ammonia (NH3) is a short-lived pollutant that plays an important role in aerosol chemistry and nitrogen deposition. Dominant NH3 emissions are from agriculture and forest fires, both of which are increasing globally.
C. H. Whaley +12 more
doaj +1 more source
Matrix Completion With Variational Graph Autoencoders: Application in Hyperlocal Air Quality Inference [PDF]
Inferring air quality from a limited number of observations is an essential task for monitoring and controlling air pollution. Existing inference methods typically use low spatial resolution data collected by fixed monitoring stations and infer the ...
Aguirre, Angel Lopez +7 more
core +2 more sources
Inverse modelling of carbonyl sulfide: implementation, evaluation and implications for the global budget [PDF]
Carbonyl sulfide (COS) has the potential to be used as a climate diagnostic due to its close coupling to the biospheric uptake of CO2 and its role in the formation of stratospheric aerosol.
J. Ma +9 more
doaj +1 more source
Estimates of exceedances of critical loads for acidifying deposition in Alberta and Saskatchewan [PDF]
Estimates of potential harmful effects on ecosystems in the Canadian provinces of Alberta and Saskatchewan due to acidifying deposition were calculated, using a 1-year simulation of a high-resolution implementation of the Global Environmental ...
P. A. Makar +18 more
doaj +1 more source
Improving and monitoring air quality [PDF]
Since the authorization of the Clean Air Act Amendments of 1990, the air quality in the USA has significantly improved because of strong public support. The lessons learned over the last 25 years are being shared with the policy analysts, technical professionals, and scientist who endeavor to improve air quality in their communities.
openaire +2 more sources
Low Cost, Multi-Pollutant Sensing System Using Raspberry Pi for Indoor Air Quality Monitoring
Deteriorating levels of indoor air quality is a prominent environmental issue that results in long-lasting harmful effects on human health and wellbeing.
He Zhang, R. Srinivasan, V. Ganesan
semanticscholar +1 more source
Wildfire-related PM2.5 and health economic loss of mortality in Brazil
Background: Wildfire imposes a high mortality burden on Brazil. However, there is a limited assessment of the health economic losses attributable to wildfire-related fine particulate matter (PM2.5).
Yao Wu +10 more
doaj +1 more source
LSTM-Based IoT-Enabled CO2 Steady-State Forecasting for Indoor Air Quality Monitoring
Whether by habit or necessity, people tend to spend most of their time indoors. Built-up Carbon dioxide (CO2) can lead to a series of negative health effects such as nausea, headache, fatigue, and so on.
Yingbo Zhu +3 more
semanticscholar +1 more source
Impacts of air pollution on human and ecosystem health, and implications for the National Emission Ceilings Directive. Insights from Italy [PDF]
Across the 28 EU member states there were nearly half a million premature deaths in 2015 as a result of exposure to PM2.5, O3 and NO2. To set the target for air quality levels and avoid negative impacts for human and ecosystems health, the National ...
Anav, Alessandro +20 more
core +1 more source

