Statistical mining the environmental impact of airport deicing activities

Seoung Bum Kim, Jay Rosenberger, Victoria C.P. Chen, Huiyuan Fan, Thomas Shih, Dan Bergman

Research output: Contribution to conferencePaper

1 Citation (Scopus)

Abstract

This research conducts an analysis of the environmental impact of airport deicing activities at Dallas-Fort Worth International Airport. Deicing and anti-icing fluids have a high concentration of glycol that can lead to increased bacterial growth in the receiving waters and reduced dissolved oxygen. Statistical methods for data mining were employed to evaluate the impact on dissolved oxygen and chemical oxygen demand in airport receiving waters. In particular, decision tree models were developed to determine important explanatory variables to predict dissolved oxygen and chemical oxygen demand.

Original languageEnglish
Pages203-208
Number of pages6
Publication statusPublished - 2007 Dec 1
Externally publishedYes
EventIIE Annual Conference and Expo 2007 - Industrial Engineering's Critical Role in a Flat World - Nashville, TN, United States
Duration: 2007 May 192007 May 23

Other

OtherIIE Annual Conference and Expo 2007 - Industrial Engineering's Critical Role in a Flat World
CountryUnited States
CityNashville, TN
Period07/5/1907/5/23

Keywords

  • Aircraft deicing and anti-icing
  • Data mining
  • Decision trees
  • Glycol
  • Water quality

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering

Cite this

Kim, S. B., Rosenberger, J., Chen, V. C. P., Fan, H., Shih, T., & Bergman, D. (2007). Statistical mining the environmental impact of airport deicing activities. 203-208. Paper presented at IIE Annual Conference and Expo 2007 - Industrial Engineering's Critical Role in a Flat World, Nashville, TN, United States.