Improving efficiency and sustainability of the waste-economy-environment nexus in isolated island communities: A stochastic inexact mixed-integer fractional optimization model

IF 6.9 2区 环境科学与生态学 Q1 ENGINEERING, CHEMICAL
Ziyu Wang , Zehua Lu , Xiujuan Chen , Guohe Huang , Chunjiang An
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引用次数: 0

Abstract

This study develops a stochastic inexact mixed-integer fractional optimization (SIMFO) model to enhance solid waste management (SWM) systems in isolated island communities. The model integrates inexact optimization, chance-constrained optimization, linear fractional programming, and mixed integer linear programming. It aims to maximize waste flow diversion from landfills, minimize system costs, and adhere to environmental emission caps. According to the analysis of a case study in British Columbia, Canada, by optimizing waste flows, implementing a reasonable facility expansion plan, and fully involving transfer stations, the island SWM system is expected to achieve a waste diversion rate of more than 75 %. In the future scenario, the daily amount of waste transported outside the island is reduced from 62 tonnes to zero, thereby reducing costs and environmental burdens. Compared with the present scenario (62.02 billion CO2e) and optimization programming focusing on cost reduction (69.29 billion CO2e), the upper limit result of the five-year cycle under the future scenario is 54.92 billion CO2e, representing reductions of 12 % and 21 %, respectively. The proposed SIMFO framework addresses uncertainties, optimizes facility capacity, and supports dynamic decision-making processes. This research offers a robust tool for policymakers, promoting sustainable SWM practices and long-term environmental stewardship in isolated island regions.
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来源期刊
Process Safety and Environmental Protection
Process Safety and Environmental Protection 环境科学-工程:化工
CiteScore
11.40
自引率
15.40%
发文量
929
审稿时长
8.0 months
期刊介绍: The Process Safety and Environmental Protection (PSEP) journal is a leading international publication that focuses on the publication of high-quality, original research papers in the field of engineering, specifically those related to the safety of industrial processes and environmental protection. The journal encourages submissions that present new developments in safety and environmental aspects, particularly those that show how research findings can be applied in process engineering design and practice. PSEP is particularly interested in research that brings fresh perspectives to established engineering principles, identifies unsolved problems, or suggests directions for future research. The journal also values contributions that push the boundaries of traditional engineering and welcomes multidisciplinary papers. PSEP's articles are abstracted and indexed by a range of databases and services, which helps to ensure that the journal's research is accessible and recognized in the academic and professional communities. These databases include ANTE, Chemical Abstracts, Chemical Hazards in Industry, Current Contents, Elsevier Engineering Information database, Pascal Francis, Web of Science, Scopus, Engineering Information Database EnCompass LIT (Elsevier), and INSPEC. This wide coverage facilitates the dissemination of the journal's content to a global audience interested in process safety and environmental engineering.
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