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

机译:使用决策树开发土壤生态质量评估系统以规划可持续建设

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摘要

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 CIS (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 qualify assessment system can be used for planning mega-construction projects.
机译:土壤生态是整个生物圈的基础,在全球生态系统中发挥着重要作用。在大型建设项目的决策方面,土壤生态学非常重要。尽管具有重要意义,但土壤生态质量通常不包括在可持续发展的环境影响评估中。这项研究开发并提出了一种新的专家系统,该系统使用决策树(DT)算法和基于CIS(地理信息系统)的空间分析来评估土壤微生物多样性,作为土壤生态质量的指标。我们的建模结果表明,向前和向后的DT模型提供了面向开发和面向保护的信息图。为了通过不同的模型预测解决潜在的冲突,开发了一种新的映射方法来识别严格的保护区和潜在开发区。这些结果表明,新开发的土壤生态合格评估系统可用于规划大型建设项目。

著录项

  • 来源
    《Expert Systems with Application》 |2011年第5期|p.5463-5470|共8页
  • 作者单位

    School of Civil and Environmental Engineering, Yonsei University, 134, Shinchon-Dong, Seodaemun-Cu, Seoul 120-749, South Korea;

    School of Civil and Environmental Engineering, Yonsei University, 134, Shinchon-Dong, Seodaemun-Cu, Seoul 120-749, South Korea;

    School of Civil and Environmental Engineering, Yonsei University, 134, Shinchon-Dong, Seodaemun-Cu, Seoul 120-749, South Korea;

    Dept. of Information and Industrial Engineering, Yonsei University, 134, Shinchon-Dong, Seodaemun-Gu, Seoul 120-749, South Korea;

    Dept. of Information and Industrial Engineering, Yonsei University, 134, Shinchon-Dong, Seodaemun-Gu, Seoul 120-749, South Korea;

    Dept. of Information and Industrial Engineering, Yonsei University, 134, Shinchon-Dong, Seodaemun-Gu, Seoul 120-749, South Korea;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    soil ecology; expert systems; decision tree; geographic information system; sustainable development;

    机译:土壤生态学专家系统;决策树;地理信息系统;可持续发展;

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