This poster summarizes research on the effects of wind and precipitation on airborne particulate levels near a frac sand mine. The researchers measured PM2.5, wind speed, wind direction, and precipitation at the Chippewa Sand mine in Bloomer, WI. Precipitation was found to lower PM2.5 levels, while wind direction and speed did not correlate with PM2.5 levels. The researchers thank the Office of Research and Sponsored Programs and Learning & Technology Services for supporting the research.
“Global View of Health and Air Quality at NASA” by Laura Judd at the 2023 Water for Food Global Conference. A recording of the presentation can be found on the conference playlist: https://youtube.com/playlist?list=PLSBeKOIXsg3JNyPowwJj6NDSpx4vlnCYj.
“Global View of Health and Air Quality at NASA” by Laura Judd at the 2023 Water for Food Global Conference. A recording of the presentation can be found on the conference playlist: https://youtube.com/playlist?list=PLSBeKOIXsg3JNyPowwJj6NDSpx4vlnCYj.
Rebecca Morss, Senior Scientist and Deputy Director, Mesoscale and Microscale Meteorology Laboratory of the National Center for Atmospheric Research (NCAR) - November 2017 UCAR Congressional Briefing
Snowfall Shift and Precipitation Variability over Sikkim Himalaya Attributed to Elevation-Dependent Warming
Spatial and Temporal Variation of Particulate Matter (PM10 and PM2.5) and Its Health Effects during the Haze Event in Malaysia
Problems and opportunities for biometeorological assessment of conditions cold season
Case Study of Coastal Fog Events in Senegal Using LIDAR Ceilometer
Assessing the Impact of Gas Flaring and Carbon Dioxide Emissions on Precipitation Patterns in the Niger Delta Region of Nigeria Using Geospatial Analysis
The presentation gives an investigation on air quality monitoring in Stellenbosch using the Low-Cost Purple Air sensor. It investigates the possible emission sources and the potential effects of particulate matter 2.5 on human health.
CREATING A REGIONAL PM2.5 MAP BY FUSING SATELLITE AND KRIGING ESTIMATESNabin Malakar
The presentation uses fusion of Spatial Kriging and Satellite remote sensing derived PM2.5 from MODIS AOD to produce regional PM2.5 estimation.
The methodology is discussed, and results are also presented showing a good spatial coverage over the northeast USA.
Background:
One of my student, Daniel Vidal from the City College of New York, came first in the final round of the technical paper competition in the Society of Hispanic Professional Engineers (SHPE) conference in Detroit, Michigan. 2014
From our climate panel in Grand Junction on August 4:
Our Forest, Our Water, Our Land: Local Impacts on Climate Change. Sponsored by Conservation Colorado, Mesa County Library, Math & Science Center
The Ultimate Guide to Understanding Air Quality DataAmbee
Ambee is a network of air quality data that aims to make cities smarter, individuals healthier, and
air pollution decisions that are informed. Ambee's solutions anticipate and forecast air quality
with better accuracy and detail over low-cost sensors just on the market by combining satellite and
meteorological data with fine-grained IoT data.
ASSESSMENT OF PARTICULATE MATTER CONCENTRATION AMONG LAND USE TYPES IN OBIGBO...IAEME Publication
Air pollution has become a serious issue especially in fast developing urban areas. Particulate matter (PM) inhalation is injurious to man at significant concentration because it can accumulate in the lungs and some of the particulate compositions have been established as carcinogenic. This study assessed the level of particulate matter (PM) mass concentration in selected oil operating areas in Rivers State in Nigeria. Areas around other land use types were considered such as schools (SCH), market (MKT), commercial center (COM), bus stops (BST), residential areas (RES), hospitals (HSP) and vegetation (VEG). PM1, PM2.5, PM4, PM7 and PM10 were monitored using a digital read out electronic instrument, Aerocet Model 531. Meteorological parameters (wind speed, temperature and humidity) were monitored using Kestrel 3000 portable weather tracker.
Rebecca Morss, Senior Scientist and Deputy Director, Mesoscale and Microscale Meteorology Laboratory of the National Center for Atmospheric Research (NCAR) - November 2017 UCAR Congressional Briefing
Snowfall Shift and Precipitation Variability over Sikkim Himalaya Attributed to Elevation-Dependent Warming
Spatial and Temporal Variation of Particulate Matter (PM10 and PM2.5) and Its Health Effects during the Haze Event in Malaysia
Problems and opportunities for biometeorological assessment of conditions cold season
Case Study of Coastal Fog Events in Senegal Using LIDAR Ceilometer
Assessing the Impact of Gas Flaring and Carbon Dioxide Emissions on Precipitation Patterns in the Niger Delta Region of Nigeria Using Geospatial Analysis
The presentation gives an investigation on air quality monitoring in Stellenbosch using the Low-Cost Purple Air sensor. It investigates the possible emission sources and the potential effects of particulate matter 2.5 on human health.
CREATING A REGIONAL PM2.5 MAP BY FUSING SATELLITE AND KRIGING ESTIMATESNabin Malakar
The presentation uses fusion of Spatial Kriging and Satellite remote sensing derived PM2.5 from MODIS AOD to produce regional PM2.5 estimation.
The methodology is discussed, and results are also presented showing a good spatial coverage over the northeast USA.
Background:
One of my student, Daniel Vidal from the City College of New York, came first in the final round of the technical paper competition in the Society of Hispanic Professional Engineers (SHPE) conference in Detroit, Michigan. 2014
From our climate panel in Grand Junction on August 4:
Our Forest, Our Water, Our Land: Local Impacts on Climate Change. Sponsored by Conservation Colorado, Mesa County Library, Math & Science Center
The Ultimate Guide to Understanding Air Quality DataAmbee
Ambee is a network of air quality data that aims to make cities smarter, individuals healthier, and
air pollution decisions that are informed. Ambee's solutions anticipate and forecast air quality
with better accuracy and detail over low-cost sensors just on the market by combining satellite and
meteorological data with fine-grained IoT data.
ASSESSMENT OF PARTICULATE MATTER CONCENTRATION AMONG LAND USE TYPES IN OBIGBO...IAEME Publication
Air pollution has become a serious issue especially in fast developing urban areas. Particulate matter (PM) inhalation is injurious to man at significant concentration because it can accumulate in the lungs and some of the particulate compositions have been established as carcinogenic. This study assessed the level of particulate matter (PM) mass concentration in selected oil operating areas in Rivers State in Nigeria. Areas around other land use types were considered such as schools (SCH), market (MKT), commercial center (COM), bus stops (BST), residential areas (RES), hospitals (HSP) and vegetation (VEG). PM1, PM2.5, PM4, PM7 and PM10 were monitored using a digital read out electronic instrument, Aerocet Model 531. Meteorological parameters (wind speed, temperature and humidity) were monitored using Kestrel 3000 portable weather tracker.
ASSESSMENT OF PARTICULATE MATTER CONCENTRATION AMONG LAND USE TYPES IN OBIGBO...
frac poster3
1. We thank the Office of Research and Sponsored Programs for supporting this research, and Learning & Technology Services for printing this poster.
Effects of Wind and Precipitation on Airborne
Particulate Levels Around a Frac Sand Mine
Hannah Smith| BSB , Pang Houa Xiong- Yang | BSENPH
UNIVERSITY OF WISCONSIN- EAU CLAIRE: SAND FRACKING RESEARCH
BACKGROUND METHODS
OBJECTIVE
Frac sand mining and processing generate particulate
matter including respirable crystalline silica.
Different sources of pollution causes human health
concerns associated with frac sand mining in Wisconsin
Many cardiovascular and respiratory symptoms are
associated with the inhalation of particulate matter:
PM2.5 and PM10 levels, wind speed, wind direction and
precipitation were measured at the Chippewa Sand
mine in Bloomer, WI.
Chippewa Sands mine is located Northwest of our
equipment
Theoretically, wind direction will need to come from NW
to SE to hit our equipment
Determine correlation between met data and PM2.5
levels found.
Fig. 1: Frac sand mine in Wisconsin (fracctracker.org)
● Collect data from meteorological station at the Bloomer
site
● Use software “Weather link” to download data from field
unit to computer
● Analyze data to determine correlation of the met data
and other direct reading instruments
Compared direct reading equipment levels to met
data
Compared high PM2.5 level days to:
Wind direction
Rain rate
RESULTS
Measurements have found higher levels of PM2.5 around
plants, compared to regional levels
Wind speed and direction don’t play a role in the
movement of particulates
Precipitation seems to lower PM2.5
Monitoring for PM2.5 and silica is essential
These particles are known to cause health impact in the
long term
ACKNOWLEDGEMENTS
REFERENCES
Dr. Crispin Pierce- Environmental Public Health
Associate Professor
Office of Research and Sponsored Programs
Pierce, Crispin. “Air Quality Around Frac Sand Facilities”
19 March 2016. PowerPoint Presentation
Wisconsin Department of Natural Resources
CONCLUSION
Precipitation inversely correlates with PM2.5 levels.
Compared lower levels of PM2.5 to Wind directions
and precipitation
Wind Directions and speeds don’t correlate with PM2.5
levels.
RESULTS
N
5%
NW
2%
SSW
27%
SW
61%
wnw
5%
7/23/16 Wind direction
N
NW
SSW
SW
wnw
E
3%
ESE
36%
SE
35%
SSE
26%
6/05/15 Wind direction
E
ESE
SE
SSE
W
81%
WNW
13%
WSW
6%
7/29/16 WIND Direction
W WNW WSW
ENE
2% N
21%
NW
57%
W
2%
WNW
18%
8/04/16 Wind Direction
ENE N NNW NW W WNW
The rain rate is zero for all 4 days
Lower levels correlates with rain rates
2%
24%
2%
14%
17%
41%
7/17/16 Wind Direction
E
NNW
NW
S
SW
W
WNW
NNW
11% NW
2%
S
2% SE
4%
SSE
11%
SSW
4%
SW
30%
W
8%
WNW
15%
WSW
13%
8/16/16 Wind direction
NNW NW S SE SSE SSW SW W WNW WSW
2%
13%
2%
25%
33%
8%
17%
8/28/16 Wind Direction
E
ESE
S
SE
SSE
SSW
SW
52%
21%
17%
6%
4%
9/03/16 Wind Direction
E ENE ESE NE SSE
Fig. 2: Location of Chippewa Sands company and Our instrument location (google earth)