A Surrogate-Based Optimization Methodology for the Optimal Design of an Air Quality Monitoring Network-Reference-Cited by-同舟云学术

A Surrogate-Based Optimization Methodology for the Optimal Design of an Air Quality Monitoring Network

Published:2015-05-13 Issue:7 Volume:93 Page:1176-1187
ISSN:0008-4034
Container-title:The Canadian Journal of Chemical Engineering
language:en
Short-container-title:Can. J. Chem. Eng.

Author:

Al-Adwani Suad¹²,Elkamel Ali¹,Duever Thomas A.¹,Yetilmezsoy Kaan³,Abdul-Wahab Sabah Ahmed⁴

Affiliation:

1. Department of Chemical Engineering; University of Waterloo; 200 University Avenue West, Waterloo ON N2L 3G1, Canada

2. Department of Environmental Technology Management; College for Women; Kuwait University; The State of Kuwait, P.O. Box 5969, Safat 13060 Kuwait

3. Department of Environmental Engineering; Faculty of Civil Engineering; Yildiz Technical University; 34220, Davutpasa, Esenler Istanbul Turkey

4. Department of Mechanical and Industrial Engineering; College of Engineering; Sultan Qaboos University; P.O. Box 33, Al-Khod, Postal Code 123, Muscat Sultanate of Oman

Funder

Natural Sciences and Engineering Research Council of Canada

Publisher

Wiley

Subject

General Chemical Engineering

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/cjce.22205/fullpdf

Reference36 articles.

1. Utilizing multiobjective analysis to determine an air quality monitoring network in an industrial district

2. Air pollution forecast in Portugal: a demand from the new air quality framework directive

3. A neural network-based approach for the prediction of urban SO_{2 concentrations in the Istanbul metropolitan area}

4. Air quality monitoring network design to control nitrogen dioxide and ozone, applied in Malaga, Spain

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