Air Pollution Climatology of Rangeland Burning in the Flint Hills Roy Sando Graduate Research Assistant Kansas State University Research Team • • • • Dr. Doug Goodin Dr. John Harrington, Jr. Rhett Mohler Roy Sando Flint Hills •Too hilly and rocky for cultivation •Prime livestock pasturing land Northern Flint Hills • Riley, Pottawatomie, Wabaunsee, Geary, Morris, and Chase counties • 65% grassland • 19% cropland • 125,000 people • 289,000 cattle • > 500 bison • Elevation from 864 to 1658 ft (∆794 ft) • In 2002, market value • crops = $51.8 million • livestock = $174.2 million • Konza Prairie & Tallgrass Prairie National Preserve The Northern Flint Hills biomass burning Aerial Photograph by Rhett Mohler Pollution from Biomass Burning Smoke increases pollution Gases – – – – Carbon Monoxide (CO) Carbon Dioxide (CO2) Nitrogen Oxides (NOₓ) Methane (CH4) Particulates – <10 µm (PM 10) – <2.5 µm (PM 2.5) Ozone Production What is needed for the basic formation of Ozone (O3): – Nitrogen Oxides (NOₓ) – Solar radiation – Preexisting Ozone (O3) Pollution Climatology Analysis Which pollutants are most affected by atmospheric variations? Which weather-types are associated with high/low pollution levels in the KC Metro area? When do specific weather-types occur most frequently throughout the burn season (Mar., Apr., May, Jun.)? Atmospheric Interaction Meteorological conditions such as temperature, dew point, humidity, windflow, and others play a primary role in the creation and diffusion of hazardous pollutants caused by biomass burning Synoptic weather analysis is preferable Synoptic Weather-Typing Manual Systems – Muller Classification – Lamb Catalogue – Grosswetterlagen Investigator is in full control of the process and classification Time consuming and subjective Synoptic Weather-Typing Automated Systems – Correlation-based map patterns – Eigenvector-based techniques Temporal Synoptic Index (TSI) Can only be applied to one station or climate region at a time Synoptic Weather-Typing Hybrid Scheme – Spatial Synoptic Classification (SSC) Classifies typical meteorological conditions into six weather types based on climate region and season of the year 1. 2. 3. 4. 5. 6. Dry Polar (DP) Dry Moderate (DM) Dry Tropical (DT) Moist Polar (MP) Moist Moderate (MM) Moist Tropical (MT) Spatial Synoptic Classification Seed days – Contain typical meteorological characteristics of a particular weather type in that climate region during the seasonal window – Example of seed-day selection criteria for DP weather type in Wilmington, DE, during the Winter window (Jan 15-28): Parameter Minimum Maximum Maximum Temperature (°C) -3 3 Minimum Temperature (°C) -13 -7 none none Mean daily cloud cover (tenths) 0 7 16 h EST dew point depression (°C) 8 none none 7 16 h EST dew point (°C) Diurnal dew point change (°C) Kansas City Air Mass Seasonality 100% 90% 16.46% 26.47% 80% 16.13% 21.95% 24.19% 70% 31.61% 0% Transition 35.29% March 25.86% 17.65% 31.34% 29.03% 18.39% 10.96% 14.71% 32.20% 30.34% 17.65% 3.20% Moist Tropical Plus Moist Tropical Double Plus Moist Tropical Moist Polar Moist Moderate Dry Tropical Dry Polar May April 26.63% 44.76% 14.71% 10% 49.25% 22.03% 33.79% 30% 26.01% June 24.14% 30.65% 32.32% 29.41% 27.12% 44.12% 40% 29.27% 17.03% 8.96% 52.05% 26.67% 50% 18.64% 14.29% 60% 20% 10.45% 14.29% Dry Moderate Day is Missing Kansas City Air Mass Seasonality 350 300 250 June 200 May April 150 March 100 50 0 Day is Missing Moist Tropical Plus Moist Tropical Double Plus Dry Tropical Moist Polar Transition Moist Dry Polar Moist Dry Moderate Tropical Moderate M oi st oi st Da y Dr y is M M er at e is si ng od la r Po ic al p<.01 Dr y ar ra te op Tr M od e Po l p<.01 Dr y oi st oi st Pl us pi ca l Tr o e p<.01 M M oi st bl 60 M Do u on Pl us an si ti Tr op ic al op ic al Tr M Tr Days Above 75th Percentile Chi Squared Results (Gases) 120 100 p<.01 80 p<.01 Theoretical NO2 p<.01 p<.01 Ozone 40 CO 20 0 M oi st oi st Dr y Pl u s is M M pi is si n g er at e la r ca l Po od Dr y ar er at e Tr o M od Po l Tr op ic al e oi st Dr y oi st M oi st bl 50 Da y M M Do u on Pl us an si ti op ic al Tr op ic al Tr M Tr Days Above 75th Percentile Chi Squared Results (Aerosols) 70 60 P<.01 40 Theoretical 30 PM 2.5 20 10 0 Average Ozone, PM 2.5 vs. Air Mass Type* 0.04 16 0.038 15 0.036 14 13 0.032 12 0.03 11 0.028 10 0.026 Tr is si n er at e Da y is M od M Dr y Tr op Po Dr y oi st M Dr y er at e M od Po l oi st Tr oi st M M Pl u e bl Do u op ic al Tr oi st M s Pl us op ic al an si ti oi st M g 7 la r 0.02 ic al 8 ar 0.022 op ic al 9 on 0.024 Tr PPM 0.034 Mg/m^3 *Air masses representative only of Kansas City climate region during the burn seasons of 1997-2007 (Ozone) and 1999-2007 (PM 2.5) PM 2.5 Ozone April, 2003 Meteorological conditions confined a large amount of burning into a short time period Produced a considerable cloud of combustion products Caused ozone concentrations in Kansas City to exceed the 8-hr ozone standard of 85 parts per billion (ppb)* * Recently changed to 75 ppb April 13, 2003 April, 2003 Dry Polar Moist Polar Moist Moderate Transition Dry Moderate 0.07 Moist Tropical 35 Dry Tropical Moist Tropical Double Plus 0.06 30 25 0.04 20 0.03 15 0.02 10 0.01 5 PPM 0.05 Mg/m^3 Moist Tropical Plus Ozone PM 2.5 4/ 9 4/ 10 4/ 11 4/ 12 4/ 13 4/ 14 4/ 15 4/ 16 4/ 17 4/ 18 4/ 19 4/ 20 4/ 21 4/ 22 4/ 23 4/ 24 4/ 25 4/ 26 4/ 27 4/ 28 4/ 29 4/ 30 4/ 8 4/ 7 4/ 6 4/ 5 4/ 4 4/ 3 0 4/ 2 4/ 1 0 Summary • Annual biomass burning in the Flint Hills is essential for range management • Burning creates concern with air pollution in surrounding urban areas • The point of the study is to determine the optimal meteorological characteristics for burning Photo by Tyra Olstad, KSU Summary • What we’ve found so far: – There is significant correlation between SSC air masses and ozone levels in Kansas City – During intensive burning events, tropical air masses will enhance the formation of ozone, while polar air masses will reduce ozone formation Photo by Tyra Olstad, KSU Conclusion “Fire, or its elimination, is still a main problem in the applied total ecology by which western foresters and graziers must attempt to work out a durable modus vivendi for man in a non-static environment. The layman can only hope for them that they may resolve this difficult and delicate situation by being permitted to take the longest possible view of beneficial activity by man.” -Carl O. Sauer References Aber, James. "Geology, Geomorphology, and Geohydrology of the Flint Hills, East Central Kansas." Flint Hills Geology, Kansas. 2008. Emporia State University. 13 Apr. 2009 <http://academic.emporia.edu/aberjame/field/flint/flint.htm>. Bragg, Thomas B., and Lloyd C. Hulbert. "Woody Plant Invasion of Unburned Kansas Bluestem Prairie." Journal of Range Management 29 (1976): 19-24. Environmental Protection Agency. Carbon Monoxide - Local Conditions. Raw data. Kansas City. 2008. Environmental Protection Agency. Nitrogen Dioxide - Local Conditions. Raw data. Kansas City. 2008. Environmental Protection Agency. Ozone - Local Conditions. Raw data. Kansas City. 2008. Environmental Protection Agency. PM 2.5 - Local Conditions. Raw data. Kansas City. 2008. Goodin, Doug. Rangeland Burning and Smoke Diffusion in the Flint Hills. Kansas State University. Lewis, Meriwether. 1814. The expedition of Lewis and Clark, Vol. 1. Ann Arbor University. Microfilms, Inc. 1966. 470 p. Sauer, Carl O. "Grassland Climax, Fire, and Man." Journal of Range Management 3 (1950): 16-21. Sheridan, Scott C. "The Redevelopment of a Weather-Type Classification Scheme for North America." International Journal of Climatology 22 (2002): 51-68. Sheridan, Scott C., Helen C. Power, and Jason C. Senkbeil. "Synoptic Climatology Influences on the Spatial and Temporal Variablilty of Aerosols Over North America." International Journal of Climatology 26 (2006): 723-41. "United States Composite Wind Aloft 4 Panel." Map. National Environmental Satellite, Data, and Information Services. National Climatic Data Center. 2 Apr. 2009 <http://nomads.ncdc.noaa.gov/ncep>. Vequist, Marciana. Kansas Afternoon Prairie Burn. 30 Mar. 2009. Landscape (Set), Marion County, Kansas. Questions, Comments, Critique? Photo by Marciana Vequist