INDAQS Indoor Air Quality Simulator with Interactive Consumer

INDAQS Indoor Air Quality Simulator with Interactive Consumer & Lab Interface Janet Guntly and Amber Loftis Advisors: Dr. Tauritz and Dr. Morrison Mentors: Ekaterina Holdener and Meredith Springs Department of Computer Science Department of Civil, Architectural, and Environmental Engineering Sponsored by CRA-W

Motivation • Among top five environmental health risks 1 • Americans spend 90% of time indoors 2 • Exposure to pollutants can result in allergies, irritations, respiratory illnesses, and cancer 4 • Costs US roughly $160 billion a year 3

Goals • Raise consumer awareness • Improve consumer health • Provide easy computational research tool • Undergraduate research ◦ Interdisciplinary collaboration ◦ Extracurricular learning ◦ Exposed to graduate style learning

Questions • Consumer ◦ What happens to the air quality in my home when I use cleaning supplies? ◦ Is my air purifier improving my indoor air quality? • Researchers ◦ What is the deposition velocity and is a mistake possible? ◦ What is the concentration of ozone in the chamber for α-pinene experiments?

Existing Simulations • CONTAM ◦ Overly complex for consumers ◦ http: //www. bfrl. nist. gov/IAQanalysis/ • University of Texas at Austin ◦ Insufficient for our types of questions ◦ No data interpretation ◦ http: //www. ce. utexas. edu/bmeb/index. cfm

Equations • Steady state rate model • Nazaroff (1986)5 and Carslaw (2007)6

Developing Model Input • Determined acceptable ranges and estimated default values • Aggregation of values identified during extensive literature search

Example: Air Exchange Rate • Murray and Burnmaster (1995)7 ◦ Range: 0. 05 - 6. 5 ◦ Mean for US: 0. 5 ◦ Mostly for windows closed • Howard-Reed (2002)8 ◦ Range: 0. 10 – 0. 82 windows closed 0. 44 - 1. 66 windows open

Simulation Engine • Common backend for consumer and lab interfaces • Solves the set of equations for userselected unknowns • Employs the GNU Scientific Library (GSL) for Multidimensional Root. Finding 9

Consumer Interface

Lab Interface

Summary • Indoor air quality is a critical, but underresearched health concern • Determined acceptable variable ranges and values for common indoor air equations • Common simulation engine powers both lab and consumer interfaces

Future Work • Validate solutions and acceptable ranges • Dynamic temporal-spatial equations • Lab tests for a specific emission or source • Add more features to the interfaces ◦ More scenarios ◦ Add animation ◦ Advanced integrated interface

Impacts • Template simulation engine for other uses (i. e. , medical) • Empower consumers to make informed decisions • Increase productivity of researchers

Primary Sponsor Computing Research Association Committee on the Status of Women in Computing Research (CRA-W) Program: Multidisciplinary Research Opportunities for Women (MRO-W)

Missouri S&T Sponsors • Department of Computer Science • Department of Chemical Engineering • Department of Civil, Architectural and Environmental Engineering • Women’s Leadership Institute • Academic Affairs • Intelligent Systems Center

References 1 Guide to Air Cleaners in the Home. United States Environmental Protection Agency. Office of Air and Radiation, Oct. 2007. 2 Spengler, John and Samet, Jonathan. Indoor Air Quality Handbook. New York: Mc. Graw-Hill, 2000. 3 Fisk, William. E-Vision 2000 Conference, 11 -13 Oct. 200, Washington DC. Health and Productivity Gains from Better Indoor Environments and Their. Berkeley: Lawrence Berkeley National Laboratory, 2000. 4 Godish, Thad. Sick Buildings: Definition, Diagnosis and mitigation. Boca Raton: Lewis Publishers Inc. , 1995. 5 Nazaroff, William W. , and Glen R. Cass. "Mathematical Modelling of Chemically Reactive Pollutants in Indoor Air. " Environmental Science & Technology 20 (1986): 924 -34. 6 Carslaw, Nicola. "A new detailed chemical model for indoor air pollution. " Atmospheric Environment 41 (2007): 1164 -179. 7 Murray, Donald M. , and David E. Burnmaster. "Residential Air Exchange Rates in the United States: Empirical and Estimated Parametric Distributions by Season and Climatic Region. " Risk Analysis 15 (1995): 459 -65. 8 Howard-Reed, Cynthia, Lance A. Wallace, and Wayne R. Ott. "The Effect of OPening Windows on Air Change Rates in Two Homes. " Journal of the Air & Waste Management Association 52 (2002): 147 -59. 9 <http: //www. gnu. org/software/gsl/manual/html_node/ Multidimensional-Root_002 d. Finding. html>.

Questions?