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A. Chakma
Researcher at University of Waterloo
Publications - 42
Citations - 1293
A. Chakma is an academic researcher from University of Waterloo. The author has contributed to research in topics: Nonlinear programming & Decision support system. The author has an hindex of 20, co-authored 42 publications receiving 1223 citations. Previous affiliations of A. Chakma include Hunan University & University of Alberta.
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An interval-parameter fuzzy nonlinear optimization model for stream water quality management under uncertainty
TL;DR: It was indicated that the proposed linearization method was effective in dealing with IFNP problems; uncertainties can be communicated into optimization process and generate reliable solutions for decision variables and objectives; the decision alternatives can be obtained by adjusting different combinations of the decision variables within their solution intervals.
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A MCDM-based expert system for climate-change impact assessment and adaptation planning - A case study for the Georgia Basin, Canada
TL;DR: An MCDM-based expert system was developed to tackle the interrelationships between the climate change and the adaptation policies in terms of water resources management in the Georgia Basin, Canada and can be applied to other watersheds to facilitate assessment of climate-change impacts on socio-economic and environmental sectors.
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CO2/N2 separation by poly(ether block amide) thin film hollow fiber composite membranes
Li Liu,A. Chakma,Xianshe Feng +2 more
TL;DR: In this article, thin film poly(ether block amide) (PEBA) hollow fiber composite membranes were developed for CO2/N2 separation, which is relevant to CO2 capture from flue gas for greenhouse gas emission control.
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Hybrid Fuzzy-Stochastic Modeling Approach for Assessing Environmental Risks at Contaminated Groundwater Systems
Zhi Chen,Guohe Huang,A. Chakma +2 more
TL;DR: In this study, a hybrid fuzzy-stochastic risk assessment (FUSRA) approach is developed for examining uncertainties associated with both source/media conditions and evaluation criteria in a groundwater quality management system.
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Simulation-based process optimization for surfactant-enhanced aquifer remediation at heterogeneous DNAPL-contaminated sites
TL;DR: The results in simulating a typical PCE spill event and the associated SEAR remediation operations in a heterogeneous subsurface indicated that SEAR would be capable of cleaning up the contaminated aquifer with improved efficiencies and cost-effectiveness compared with direct pump-and-treat actions.