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💧🌏 Greg Cocks Feb 28, 2023

Use Of Citizen Science-Derived Data For Spatial And Temporal Modeling Of Particulate Matter Near The US/Mexico Border
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https://doi.org/10.3390/atmos10090495 <-- shared paper
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#GIS #spatial #mapping #PM25 #landuse #citizenscience #airsensors #survey #airmonitoring #airquality #California #community #CitizenScience #modeling #spatialanalysis #spatiotemporal #temporal #particulates #dust #USA #Mexico #SoCal #SouthernCalifornia #publichealth #water #hydrology #agriculture #arid #wind #windborne #monitoring

Use of Citizen Science-Derived Data for Spatial and Temporal Modeling of Particulate Matter near the US/Mexico Border

This paper describes the use of citizen science-derived data for the creation of a land-use regression (LUR) model for particulate matter (PM2.5 and PMcoarse) for a vulnerable community in Imperial County, California (CA), near the United States (US)/Mexico border. Data from the Imperial County Community Air Monitoring Network community monitors were calibrated and added to a LUR, along with meteorology and land use. PM2.5 and PMcoarse were predicted across the county at the monthly timescale. Model types were compared by cross-validated (CV) R2 and root-mean-square error (RMSE). The Bayesian additive regression trees model (BART) performed the best for both PM2.5 (CV R2 = 0.47, RMSE = 1.5 µg/m3) and PMcoarse (CV R2 = 0.65, RMSE = 8.07 µg/m3). Model predictions were also compared to measurements from the regulatory monitors. RMSE for the monthly models was 3.6 µg/m3 for PM2.5 and 17.7 µg/m3 for PMcoarse. Variable importance measures pointed to seasonality and length of roads as drivers of PM2.5, and seasonality, type of farmland, and length of roads as drivers of PMcoarse. Predicted PM2.5 was elevated near the US/Mexico border and predicted PMcoarse was elevated in the center of Imperial Valley. Both sizes of PM were high near the western edge of the Salton Sea. This analysis provides some of the initial evidence for the utility of citizen science-derived pollution measurements to develop spatial and temporal models which can make estimates of pollution levels throughout vulnerable communities.

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LisPi Feb 6, 2023

@flaki @sluongng @filippo @SexyCyborg One cannot rely on various venues having done #DueDiligence and properly set-up their #infrastructure, unfortunately.

So attendance should imply bringing your own #RespiratoryProtection and #AirSensors to know whether you need to leave (unfortunately #rebreather apparatus is a bit clunky to carry around).

Of course any place that doesn't widely publicize the steps they take for #HarmReduction should be showered with #shame.

Africa qualité de l’air Jan 27, 2023

Over 70 people have registered for the next CAMS-Net/AfriqAir meeting (March 7-10) https://indico.cern.ch/event/1216699/ - more than we can accommodate (and support for travel). So, we are freezing new registrations till further notice and adding names to a wait list. #AfricaAQ #airpollution #AirSensors

AfriqAir and CAMS-Net General Meeting

Event DescriptionThis is a dual-purpose event - it will serve as the 2023 general meetings for both CAMS-Net and AfriqAir and an air pollution conference for air pollution in Africa.CAMS-Net - https://camsnet.orgThe Clean Air Monitoring and Solutions Network, or CAMS-Net, is a National Science Foundation-funded project aimed at creating an international “network of networks” that will facilitate the exchange of knowledge, ideas, and data in order to improve the usage and application of...

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