Using decision tree to develop a soil ecological quality assessment system for planning sustainable construction

Joonhong Park, Dongwon Ki, Kangsuk Kim, Suk Jun Lee, Dong Ha Kim, Kyong Joo Oh

Research output: Contribution to journalArticle

7 Citations (Scopus)

Abstract

Soil ecology is the foundation of the entire biosphere and plays a significant role in global ecosystems. Soil ecology is important in the decision-making aspects of mega-construction projects. Despite its significance, soil ecological quality is not normally included in environmental impact assessments for sustainable development. This study develops and presents a new expert system to assess soil microbial diversity as an indicator of soil ecology quality using decision tree (DT) algorithms and GIS (geographic information system)-based spatial analysis. Our modeling results show that forward and backward DT models provide development-oriented and conservation-oriented information maps. To resolve potential conflicts by the different model predictions, a new mapping approach was developed for identifying strict conservation and potential development areas. These results suggest that the newly developed soil ecological quality assessment system can be used for planning mega-construction projects.

Original languageEnglish
Pages (from-to)5463-5470
Number of pages8
JournalExpert Systems with Applications
Volume38
Issue number5
DOIs
Publication statusPublished - 2011 May 1

Fingerprint

Decision trees
Soils
Planning
Ecology
Conservation
Environmental impact assessments
Ecosystems
Expert systems
Geographic information systems
Sustainable development
Decision making

All Science Journal Classification (ASJC) codes

  • Engineering(all)
  • Computer Science Applications
  • Artificial Intelligence

Cite this

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abstract = "Soil ecology is the foundation of the entire biosphere and plays a significant role in global ecosystems. Soil ecology is important in the decision-making aspects of mega-construction projects. Despite its significance, soil ecological quality is not normally included in environmental impact assessments for sustainable development. This study develops and presents a new expert system to assess soil microbial diversity as an indicator of soil ecology quality using decision tree (DT) algorithms and GIS (geographic information system)-based spatial analysis. Our modeling results show that forward and backward DT models provide development-oriented and conservation-oriented information maps. To resolve potential conflicts by the different model predictions, a new mapping approach was developed for identifying strict conservation and potential development areas. These results suggest that the newly developed soil ecological quality assessment system can be used for planning mega-construction projects.",
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Using decision tree to develop a soil ecological quality assessment system for planning sustainable construction. / Park, Joonhong; Ki, Dongwon; Kim, Kangsuk; Lee, Suk Jun; Kim, Dong Ha; Oh, Kyong Joo.

In: Expert Systems with Applications, Vol. 38, No. 5, 01.05.2011, p. 5463-5470.

Research output: Contribution to journalArticle

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