Design of a high-coverage ground-based CO2 monitoring layout using a novel information theory-based optimization model

Parnian Hashempour Bakhtiari, Mohammad Reza Nikoo*, Foroogh Golkar, Mojtaba Sadegh, Malik Al-Wardy, Ghazi Ali Al-Rawas

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

Over the past decade, monitoring of the carbon cycle has become a major concern accented by the severe impacts of global warming. Here, we develop an information theory-based optimization model using the NSGA-II algorithm that determines an optimum ground-based CO2 monitoring layout with the highest spatial coverage using a finite number of stations. The value of information (VOI) concept is used to assess the efficacy of the monitoring stations given their construction cost. In conjunction with VOI, the entropy theory—in terms of transinformation—is adopted to determine the redundant (overlapping) information rendered by the selected monitoring stations. The developed model is used to determine a ground-based CO2 monitoring layout for Iran, the eighth-ranked country emitting CO2 worldwide. An NSGA-II optimization model provides a tradeoff curve given the objectives of (1) minimizing the size of monitoring network; (2) maximizing VOI, i.e., spatial coverage; and (3) minimizing transinformation, i.e., overlapping information. Borda count method is then employed to select the most appropriate compromise monitoring layout from the Pareto-front solutions given regional priorities and concerns.

Original languageEnglish
Article number150
JournalEnvironmental Monitoring and Assessment
Volume193
Issue number3
DOIs
Publication statusPublished - Mar 2021

Keywords

  • Entropy theory
  • Ground-based CO monitoring station
  • Transinformation
  • Value of information (VOI)

ASJC Scopus subject areas

  • Environmental Science(all)
  • Pollution
  • Management, Monitoring, Policy and Law

Cite this