Muhammad Ma’arij Harfadli , Bimastyaji Surya Ramadan , Mega Ulimaz , Indriyani Rachman , Toru Matsumoto
{"title":"Environmental impact and priority assessment of municipal solid waste management scenarios in Balikpapan City, Indonesia","authors":"Muhammad Ma’arij Harfadli , Bimastyaji Surya Ramadan , Mega Ulimaz , Indriyani Rachman , Toru Matsumoto","doi":"10.1016/j.clwas.2025.100223","DOIUrl":null,"url":null,"abstract":"<div><div>This study was conducted to determine waste management strategies for the Balikpapan City government by predicting emissions from the existing waste management system and analyzing the reduction of greenhouse gas (GHG) emissions based on several waste management scenarios. This research was conducted in five stages: (1) defining the boundaries of the waste management system, (2) data collection and inventory, (3) analysis of solid waste generation and composition, (4) analysis of GHG emissions using the emission quantification tool (EQT), and (5) identifying criteria and scenario priority using the analytical hierarchy process (AHP). The scenario was developed into three possible scenarios, namely, scenario (A) which means to meet the target of regional policies and strategies, scenario (B) which means to meet the target of the Local Action Plan–Greenhouse Gas Emission Reduction by East Kalimantan and scenario, scenario (C) which means ideal scenario with 100 % waste collection that the waste collection ratio is 60 % collected by the informal waste sector and 40 % collected by the formal sector. The results showed that Scenario C results in a 156 % reduction in GHG emissions when compared to the BAU Scenario. Based on the AHP results, environmental, policymaking, and social are the prioritized criteria affecting waste management scenarios with values of 40, 16, and 15, respectively. Furthermore, the AHP results showed that scenario C, with a value of 52 %, is the most prioritized compared to scenarios A and B.</div></div>","PeriodicalId":100256,"journal":{"name":"Cleaner Waste Systems","volume":"10 ","pages":"Article 100223"},"PeriodicalIF":0.0000,"publicationDate":"2025-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cleaner Waste Systems","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2772912525000211","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This study was conducted to determine waste management strategies for the Balikpapan City government by predicting emissions from the existing waste management system and analyzing the reduction of greenhouse gas (GHG) emissions based on several waste management scenarios. This research was conducted in five stages: (1) defining the boundaries of the waste management system, (2) data collection and inventory, (3) analysis of solid waste generation and composition, (4) analysis of GHG emissions using the emission quantification tool (EQT), and (5) identifying criteria and scenario priority using the analytical hierarchy process (AHP). The scenario was developed into three possible scenarios, namely, scenario (A) which means to meet the target of regional policies and strategies, scenario (B) which means to meet the target of the Local Action Plan–Greenhouse Gas Emission Reduction by East Kalimantan and scenario, scenario (C) which means ideal scenario with 100 % waste collection that the waste collection ratio is 60 % collected by the informal waste sector and 40 % collected by the formal sector. The results showed that Scenario C results in a 156 % reduction in GHG emissions when compared to the BAU Scenario. Based on the AHP results, environmental, policymaking, and social are the prioritized criteria affecting waste management scenarios with values of 40, 16, and 15, respectively. Furthermore, the AHP results showed that scenario C, with a value of 52 %, is the most prioritized compared to scenarios A and B.