mirage

A chance-constrained model for regional air quality management.

DSpace/Manakin Repository

 

Search DR-NTU


Advanced Search Subject Search

Browse

My Account

A chance-constrained model for regional air quality management.

Show full item record

Title: A chance-constrained model for regional air quality management.
Author: Tan, Michele Mei Wen.
Copyright year: 2011
Abstract: Regional air pollution has been a major global problem due to its health-associated risks together with its economic and environmental impacts. Though there have been significant advances in air pollution control technologies, the implementation of these control strategies are costly. It is thus desirable for effective air quality planning and management to be undertaken to identify and implement cost-effective strategies, ensuring local air quality at safe levels. In this study, an inexact chance-constrained optimization model (ICCLP) was developed for air quality management under uncertainty. The ICCLP was formulated by integrating the inexact linear programming (ILP) and the chance-constrained programming model (CCP). The ICCLP allows the left-hand side (LHS) random variables to be expressed as interval numbers while letting the right-hand side (RHS) constraints to be expressed as probabilistic functions. In this way, the highly random RHS constraints will be satisfied at predetermined confidence levels, providing a more flexible and in-depth tradeoff analysis when applied to air quality management. To determine the applicability of the proposed ICCLP to regional air quality management, it was applied to a hypothetical case study, where the results were analyzed and compared with those from the ILP and CCP models. It was observed that the ICCLP could incorporate more uncertain information within its modeling framework. In addition, the method provides not only decision variable solutions presented as intervals but also the associated risk levels in violating the system constraints. It can therefore support an elaborate analysis of the tradeoff between system cost and system-failure risk. Hence, it is a useful tool for generating decision alternatives and thus helps policy makers identify desired policies under various environmental, economic, and system-reliability constraints.
Subject: DRNTU::Engineering::Environmental engineering::Environmental pollution.
Type: Final Year Project (FYP)
School: School of Civil and Environmental Engineering

Files in this item

Files Size Format View Description
Michele Tan2.pdf 1.599Mb PDF View/Open Main article

This item appears in the following Collection(s)

Show full item record

Statistics

Total views

All Items Views
A chance-constrained model for regional air quality management. 850

Total downloads

All Bitstreams Views
Michele Tan2.pdf 529

Top country downloads

Country Code Views
China 153
United States of America 143
Singapore 66
India 14
Russian Federation 14

Top city downloads

city Views
Beijing 139
Mountain View 79
Singapore 58
Redwood City 7
Redmond 6

Downloads / month

  2014-07 2014-08 2014-09 total
Michele Tan2.pdf 0 0 3 3