Identification of industrial hazardous waste and material flow analysis based on hazardous waste producing businesses in Indonesia

2021 ◽  
Author(s):  
I Made Wahyu Widyarsana ◽  
Aurilia Ayuanda Mulyadi ◽  
Suci Ameliya Tambunan
Keyword(s):  
Waste Management ◽  
Hazardous Waste ◽  
Material Flow ◽  
Flow Analysis ◽  
Material Flow Analysis ◽  
Industrial Sector ◽  
Waste Generation ◽  
Average Growth ◽  
Hazardous Waste Management ◽  
Industrial Sectors

Abstract This research was conducted to (1) determine the hazardous waste generation from the industrial sector in Indonesia in 2019, (2) predict the hazardous waste generation in 2040, and (3) determine the waste material flow. This study's secondary data comes from past studies related to hazardous waste management in Indonesia's industrial sector. In this study, predicting hazardous waste generation used 2 (two) methods: the Annual Average Growth Rate and the Unit Gross Industrial Output Value. The last method used the assumption that Micro and Small Enterprises (MSEs) generate 10% of the total hazardous waste in Indonesia's industrial sector, while the Medium and Large Enterprises (MLEs) generate 85% of the total hazardous waste. In 2019, the total hazardous waste generation reached 573,351,835.37 tonnes yr-1. The hazardous waste projection from Indonesia's industrial sectors in 2040 reached 1,066,603,307.02 tonnes yr-1 to 1,298,591,111.95 tonnes yr-1. Based on the Material Flow Analysis, 68.66% of the hazardous waste was managed by disposing 11% of the hazardous waste in landfill, utilizing 31.44% of the waste, while 31.37% of the hazardous waste goes to hazardous waste transfer depots, and only 1.24% of the hazardous waste was processed. Meanwhile, 31.34% of the hazardous waste is considered to be unmanaged and pollute the land. Thus, it is necessary to have a reliable and integrated hazardous waste management system to reduce the negative impacts on the environment and human health.

Data uncertainties in material flow analysis: Municipal solid waste management system in Maputo City, Mozambique

2016 ◽  
Vol 35 (1) ◽  
pp. 120-125 ◽  
Author(s):  
Leticia Sarmento dos Muchangos ◽  
Akihiro Tokai ◽  
Atsuko Hanashima
Keyword(s):  
Waste Management ◽  
Municipal Solid Waste ◽  
Solid Waste ◽  
Material Flow ◽  
Solid Waste Management ◽  
Flow Analysis ◽  
Material Flow Analysis ◽  
Municipal Solid Waste Management ◽  
Waste Generation ◽  
Maputo City

Material flow analysis can effectively trace and quantify the flows and stocks of materials such as solid wastes in urban environments. However, the integrity of material flow analysis results is compromised by data uncertainties, an occurrence that is particularly acute in low-and-middle-income study contexts. This article investigates the uncertainties in the input data and their effects in a material flow analysis study of municipal solid waste management in Maputo City, the capital of Mozambique. The analysis is based on data collected in 2007 and 2014. Initially, the uncertainties and their ranges were identified by the data classification model of Hedbrant and Sörme, followed by the application of sensitivity analysis. The average lower and upper bounds were 29% and 71%, respectively, in 2007, increasing to 41% and 96%, respectively, in 2014. This indicates higher data quality in 2007 than in 2014. Results also show that not only data are partially missing from the established flows such as waste generation to final disposal, but also that they are limited and inconsistent in emerging flows and processes such as waste generation to material recovery (hence the wider variation in the 2014 parameters). The sensitivity analysis further clarified the most influencing parameter and the degree of influence of each parameter on the waste flows and the interrelations among the parameters. The findings highlight the need for an integrated municipal solid waste management approach to avoid transferring or worsening the negative impacts among the parameters and flows.

scholarly journals Material Flow Analysis and Resource Recovery Potential Analysis of Selected Fruit, Vegetable and Nut Waste in Kenya

2021 ◽  
Author(s):  
Steven De Meester ◽  
Benson Dulo ◽  
John Githaiga ◽  
Katleen Raes
Keyword(s):  
Waste Management ◽  
Material Flow ◽  
Flow Analysis ◽  
Material Flow Analysis ◽  
Management Problem ◽  
Waste Collection ◽  
Waste Streams ◽  
Total Potential ◽  
Recovery Potential ◽  
Current Usage

Abstract In Kenya, agriculture is an important economic activity, which implies that a significant amount of bio-waste is generated. This is on one hand a waste management problem, but on the other hand, it is an opportunity for creating a sustainable bioeconomy. Therefore, this study investigates the potential recovery of bioresources from Kenyan bio-waste. The study first quantifies occurrence, current usage and disposal of three selected biomass types, being banana, potato and coconut waste. Next, material flow analysis (MFA) is used to systematically track the mass flow of these wastes. Finally, the potential of biomolecules, biomaterials and bioenergy from the waste streams is evaluated. The study revealed that 6007, 426 and 49.5 kt of banana, potato and coconut biomass is wasted. All these wastes can be biorefined, offering potential towards recovery of; flavonoids (88.3 kt), starch (377 kt), cellulose (2000.7 kt) and biogas (1757.0 GWh), being the total potential of the main bioresources from the three waste streams. The study therefore, concluded that, with proper waste collection, sorting and valorisation, there is a huge potential for bioeconomy in Kenya, at the same time reducing waste management problems.

scholarly journals Material flow analysis and life cycle assessment of solid waste management in urban green areas, Thailand

2020 ◽  
Vol 30 (1) ◽  
Author(s):  
Indika Thushari ◽  
Juckrit Vicheanteab ◽  
Dao Janjaroen
Keyword(s):  
Life Cycle Assessment ◽  
Life Cycle ◽  
Waste Management ◽  
Solid Waste ◽  
Material Flow ◽  
Solid Waste Management ◽  
Flow Analysis ◽  
Material Flow Analysis ◽  
Waste Recycling ◽  
Urban Green

Abstract This study presents solid waste management planning in an urban green area, Bangkok, Thailand based on the material flow analysis (MFA) and life cycle assessment (LCA). Global warming potential (GWP) of four scenarios for handling solid waste generated in Chulalongkorn University Centenary Park, 2018 was assessed concerning the different ratios of waste recycling, composting, incineration, and landfilling. The results show that alternative systems proposed will result in lower GWP than the existing waste management strategy. The MFA results reveal that the final weights of solid waste ending up in a landfill are 98.8, 101.9, 68.2, and 44.8 t yr− 1 for scenarios 1, 2, 3, and 4, respectively. Increased rates of landfill diversion by increased recycling, composting, and incineration decreased the quantity of solid waste disposed to the landfill and improved the environmental profile of the park waste management system. The LCA results found landfilling to be the dominant source of greenhouse gas (GHG) burdens, while waste recycling was found to result in the reduction of GHG. The results highlight that the use of MFA and LCA as a combined tool to evaluate the environmental performance of solid waste management systems provides valuable information for policy and decision-makers.

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