Design of a high-coverage ground-based CO

Entropy theory Ground-based CO2 monitoring station Transinformation Value of information (VOI)

Journal

Environmental monitoring and assessment
ISSN: 1573-2959
Titre abrégé: Environ Monit Assess
Pays: Netherlands
ID NLM: 8508350

Informations de publication

Date de publication:
27 Feb 2021
Historique:
received: 17 08 2020
accepted: 04 02 2021
entrez: 28 2 2021
pubmed: 1 3 2021
medline: 3 3 2021
Statut: epublish

Résumé

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 CO

Identifiants

pubmed: 33641085
doi: 10.1007/s10661-021-08933-2
pii: 10.1007/s10661-021-08933-2
doi:

Substances chimiques

Carbon Dioxide 142M471B3J

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

150

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Auteurs

Parnian Hashempour Bakhtiari (PH)

Department of Civil and Environmental Engineering, Shiraz University, Shiraz, Iran.

Mohammad Reza Nikoo (MR)

Department of Civil and Environmental Engineering, Shiraz University, Shiraz, Iran. nikoo@shirazu.ac.ir.

Foroogh Golkar (F)

Department of Water Engineering, College of Agriculture, Oceanic and Atmospheric Research Center, Shiraz University, Shiraz, Iran.

Mojtaba Sadegh (M)

Department of Civil Engineering, Boise State University, Boise, Idaho, USA.

Malik Al-Wardy (M)

Department of Soils, Water, and Agricultural Engineering, Sultan Qaboos University, Muscat, Oman.

Ghazi Ali Al-Rawas (GA)

Department of Civil and Architectural Engineering, Sultan Qaboos University, Muscat, Oman.

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