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Vol.: (0123456789) 1 3 https://doi.org/10.1007/s10661-023-10929-z Assessment of potential environmental impacts and sustainable management of municipal solid waste using the DPSIRO framework: a case study of Bahir Dar, Ethiopia Awoke Misganaw Received: 5 August 2022 / Accepted: 6 January 2023 © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2023 Abstract The generation of municipal solid waste is increasing globally and poses a negative impact on soci- ety, the economy, and the environment. Applying an inte- grated system for managing MSW and recovering the material for the production of new products can reduce the negative impacts on the environment. The aim of this paper is to apply the DPSIRO framework to develop a sys- tem that reduces the negative impacts of MSW in Bahir Dar city in a sustainable way. The study started by iden- tifying the main driving forces that led to the generation of MSW. Then, pressures and states of the environment resulting from driving forces were investigated. Next, the consequent impacts through driving forces, pressure, and state are identified. Finally, the appropriate responses and outcomes obtained from the responses were studied. Numerical models were used to quantify GHG emis- sions, leachate, and eutrophication potential. According to the findings, the waste disposal site emits about 46 Gg of greenhouse gases per year in 2020. The eutrophica- tion capacity of organic waste generated in the city was 0.0594 kg N-equivalent or 59.4 g N-equivalent. The waste also contains an average of 1112 mm of leachate per day on an annual basis. The state of the environment has an impact on human health and the ecosystem. Implement- ing a circular economic system, knowledge transfer, and waste management fees are the main responses suggested to decision and policymakers. The outcomes were quanti- fied in terms of organic fertilizer, income, and renewable energy (briquette) when the actions were taken. Keywords Sustainable management · Eutrophication potential · Greenhouse gas emission · Municipal solid waste · DPSIRO framework Introduction Citizens and businesses in most of the world’s cities consume a great deal of materials and produce a great deal of waste (Makarichi et al., 2018). With rapid pop- ulation and economic growth and urbanization, solid waste output is increasing in urban areas around the world (Farzadkia et al., 2020; Singh, 2019; Zorpas et al., 2017). According to a World Bank report (Franco et al., 2021; Kaza et al., 2018), cities around the world gener- ate 2.01 billion metric tons of MSW per year, and that number is projected to increase to 3.40 billion tons by 2050. The solid waste problem is a major concern for national and local authorities in many cities through- out developing and developed countries (Inghels et al., 2016; Noufal et al., 2020). Especially in developing countries, the common solid waste management system that they use is landfill because it is relatively less costly to implement and operate compared to other options. However, landfills are widely regarded as the least pref- erable municipal solid waste management system due to A. Misganaw (*) Faculty of Technology, Department of Chemical Engineering, Debre Tabor University, Posta 272, Debre Tabor, Ethiopia e-mail: awokemisganaw12@gmail.com / Published online: 13 January 2023 Environ Monit Assess (2023) 195:297 Content courtesy of Springer Nature, terms of use apply. Rights reserved. Environ Monit Assess (2023) 195:297 1 3 Vol:. (1234567890) their high contamination potential, including water and soil pollution due to leachate seepage and greenhouse gas (GHG) emissions resulting from the decomposition of biodegradable waste (Adeleke et al., 2021; Cantera et al., 2022; Fedorov & Linke, 2022; Krammer et al., 2022; Wang et al., 2020). The negative impact of municipal solid waste mis- management in cities extends from the local to the global level. The release of odorous compounds from landfills has a very local (micro-) impact as it affects the surrounding population. Discharge of pollutants into ground or surface water due to landfilling can have an impact on the regional (meso-) scale, as eutrophication can occur tens of kilometers away from disposal facili- ties unless fugitive leachate is collected and properly treated. Emissions of greenhouse gases such as methane contribute to global warming, which has an impact on the global population (macro impact) (Ellen et al., 2018; Matheus, 2018; Mattos et al., 2020). Living standards have improved and technological development has resulted in a massive demand for goods and products in Bahir Dar over the last few decades. As a result, solid waste generation has steadily increased (Misganaw & Teffera, 2021). Currently, the majority of solid waste produced in the city is dumped into open dumpsites without any processing, and uncontrolled emissions are formed. These emissions lead to negative impacts on soil, water, and air quality and are expected to continue in the future until MSW management sys- tems are improved. Sustainable MSW management necessitates a multi- faceted approach including a wide range of stakeholders (Misganaw & Teffera, 2022; Salem et al., 2020). Differ- ent countries in the world use different models for sus- tainable solid waste management. The most commonly used model for the evaluation of the environmental per- formance of solid waste management systems is the PSR (pressure-state-response) model. The PSR model was first proposed by Rapport and Friends (Mao et al., 2014), and it has been further developed as a common environmen- tal evaluation by the Organization for Economic Coop- eration and Development (OECD) and the United Nations (UN) since 1993 (Liu et al., 2020; Robele et al., 2018; Wang et al., 2018). The DPSIR (Driving Force-Pressure- State-Impact-Response) model is also a tool that is used for sustainable MSW management and environmental evaluation (Atkins et al., 2011; Liu et al., 2019; Robele et al., 2018). The model is based on the Pressure-State- Response (PSR) context, which was proposed in the late 1980s by the Organization for Economic Cooperation and Development (OECD) and the United Nations Environ- mental Programme (UNEP) (Zorpas, 2020). The latest framework extended from PSR and DPSIR that is used for sustainable MSW management is the DPSIRO (Driving Force-Pressure-State-Impact-Response-Outcome) frame- work to fill the gaps of both frameworks (Misganaw & Teffera, 2021). The framework is used to solving multidimensional problems associated with solid waste mismanagement. Furthermore, no research for the impact of the DPSIRO framework outputs to study the negative impact of MSW and scenarios created during the systems investigation is considered. The DPSIRO framework analysis describes how economic and social developments, which are com- mon driving forces (D), exert pressure (P) on the environ- ment and as a result, the state of the environment (S) such as the depletion of natural resources and degradation of environmental quality changes. These changes then have an impact (I) on the environment and human health. Due to these impacts, society responds (R) to the driving force, the pressure, state or impact, and then when society gives the response, the outcome (O) shows the expected result at each response of the impact. The aim of the study was to apply the DPSIRO framework to study the potential impact of MSW on air, soil, and water quality and develop sustainable indicators to reduce the impact. Literature review of DPSIRO framework The Stress-Response (SR) framework created by Statistics Canada in the late 1970s is where the DPSIRO framework got its start (Rapport & Friend, 1979). The Pressure- State-Response (PSR) framework was created after this initial framework was later expanded in the 1990s by the United Nations and EconomicCo-operation and Development (Ehara et al., 2018; Mao et al., 2014; Neves et al., 2008; Robele et al., 2018). This PSR model can delicately reveal the interrelationship between human activities, environment, and natural resources (Wei et al., 2019). Following the PSR framework, the European Environmental Agency (EEA) established the Driver- Pressure-State-Impact-Response (DPSIR) framework for integrated environmental reporting and assessment in 1999 (Carr et al., 2009; Ehara et al., 2018; Malekmohammadi & Jahanishakib, 2017). The modification was conducted due to the absence of behavioral factors in the original PSR model (Wei et al., 2019). Since then, the modified 297 Page 2 of 13 Content courtesy of Springer Nature, terms of use apply. Rights reserved. Environ Monit Assess (2023) 195:297 1 3 Vol.: (0123456789) framework has been widely used in the analysis of environmental issues (Malmir et al., 2021). The DPSIR conceptual framework adds analysis of driving forces and impacts (both positive and negative) on humans to the basic framework of the PSR model (Ehara et al., 2018; Liu et al., 2021). The DPSIR framework’s ability to provide clarity and valuable information about the relationship between root causes of problems and their consequences that arise from developmental projects on the environment and the community makes it a tool that can be used to study community perceptions and attitudes toward development projects (Skondras & Karavitis, 2015). The DPSIRO framework is an extension of the DPSIR framework, and it is a cycle that relates to a particular human need and its accompanying activities (Misganaw & Teffera, 2021). Like the DPSIR framework, the DPSIRO framework also adds analysis of the outcome of responses on both frameworks of PSR and DPSIR. But these two previous models did not account for how each reaction or scenario would affect the system’s output (Misganaw & Akenaw, 2022; Misganaw & Teffera, 2021). This gap prompts the researcher to conduct a cause-and-effect rela- tionship analysis on various factors that contribute to the negative environmental impact caused by MSW, as well as possible measurements with expected outcomes. From the perspective of environmental system analysis, the DPSIRO framework takes the simplified internal causal relationship of the system as the idea to evaluate the inter- action between human activities and the natural environ- ment in a more comprehensive way. Methodology Area description Bahir Dar city was chosen for the investigation of the possible negative impacts of MSW and the develop- ment of sustainable indicators to reduce the impacts using the DPSIRO framework. Bahir Dar is a town in Ethiopia’s northwestern region, near the southern end of Lake Tana, at the headwaters of the Blue Nile River that then flows through Sudan and Egypt. The city is located at an elevation of approximately 1820 m above sea level, with geographic coordinates of 11036’ N and 37° 25’ E. The establishment of Bahir Dar can be traced back to the fourteenth century, when Saint Kidane Miheret Church was built on the current site of Saint Giorgis Church (Biruk, 2017; Kassie, 2016; Tirusew et al., 2013). The city evolved from a monastery administration site as well as a market place to a rapidly growing urban center. The Amhara National Regional State’s adminis- trative seat is now located there. The city is made up of five sub-cities that share a common geographical location and people’s living habits. With the range of attractions on the nearby Lake Tana (Ethiopia’s largest lake and popular for churches and monasteries on the lake’s 37 islands), it has become one of the country’s main tourist destinations. The city consists of more than 415,000 people in 2021. Research method In this study, the DPSIRO framework has been applied to assess the impact of municipal solid waste on soil, water and air quality in Bahir Dar city. Figure 1 illus- trates the cause and effect relationship between factors of the DPSIRO framework. During the time of study, initially the driving forces which led to the generation of municipal solid waste were determined. Second, the environmental change that results from pressure has been investigated. The state change of the envi- ronment was quantified in terms of greenhouse gas emissions (GHGs), eutrophication potential, and lea- chate using mathematical models. Using an intergov- ernmental panel on climate change (IPCC) model, the total amount of CO2 and CH4 emitted from Bahir Dar city waste was estimated (Misganaw & Teffera, 2021). According to IPCC guidelines, the equation for meas- uring methane emissions from waste disposal sites was calculated using Eq. 1. MSWT is total municipal solid waste generated (Gg/yr.), MSWF represents the fraction of MSW dis- posed of in one or more solid waste disposal sites, MCF is methane correction factor (fraction), DOC indicates degradable organic carbon (fraction) (kg C/kg (1)Methane emission ( Gg yr ) = MSWT ×MSWF ×MCF × DOC × DOCF × F × (1 − OX) 16 (12−R) Page 3 of 13 297 Content courtesy of Springer Nature, terms of use apply. Rights reserved. Environ Monit Assess (2023) 195:297 1 3 Vol:. (1234567890) SW), DOCF illustrate fraction DOC dissimilated, F is fraction of methane in waste dump gas, 16/12 is the con- version of carbon to methane, R represents recovered methane (Gg/yr.) and OX is oxidation factor (fraction- IPCC default is 0) as indicated in Eq. 1. The method assumes that all future methane emis- sions occur in the same year that the waste is disposed of. The method is straightforward, and calculating emis- sions needs only the input of a small number of param- eters, for which the IPCC guidelines provide default values in cases where country-specific quantities or data are unavailable. The amount of methane gas released from the disposal site was estimated using the recom- mended degradable organic carbon and decay rate val- ues for waste disposal sites. The emissions of carbon dioxide from municipal solid waste disposal sites without gas collection systems were calculated using In Eq. 2, variable B is CO2 emission (Gg/year), A represents the quantity of CH4 calculated from Eq. 1 (Gg/year), F is the fraction by volume of CH4 in land- fill gas and generally assumed to be 0.5, OX illustrates soil oxidation fraction, typically 0.1 (fraction), and the numerical values 44 and 16 represents the molecular weight of CO2 (kg/kg-mol) and the molecular weight of CH4 (kg/kg-mol) respectively. (2)B = A × ( 1 − F F + OX ) × 44 16 The eutrophication capacity of organic waste was cal- culated using Eqs. 3, 4, and 5 after the molecular formula of the organic waste of Bahir Dar city was determined. and The variables in the above three consecutive equa- tions represent: EP is eutrophication potential, P indi- cates the number of phosphorus atoms in the molecule, N is the number of nitrogen atoms in the molecule, O illustrates the number of oxygen atoms in the molecule, C is the number of carbon atoms in the molecule, H represents the number of hydrogen atoms in the mol- ecule, and V ref represents the V for phosphate anion, [PO4]3− and V ref equals 1, MW ref represents the MW for phosphate anion, [PO4]3− and MW ref equals 94.97 g/mol, MW is the compound’s MW, and ThOD represents theoretical oxygen demand. The volume of leachate resulting from municipal solid waste in Bahir Dar city was quantified by using the relation: (3)EP = V∕MW Vref∕MWref (4)V = P + N 16 + ThOD 138 (5)ThOD = C + H − 3N 4 + O 2 (6)L = R − Ea Fig. 1 The DPSIRO conceptual framework developed by the author 297 Page 4 of 13 Content courtesy of Springer Nature, terms of use apply. Rights reserved. Environ Monit Assess (2023) 195:297 1 3 Vol.: (0123456789) The symbols in Eq. 6 are represented as L is the volume of leachate, R is the volume of rainfall, and Eais the volume of real evapotranspiration (or simpler evaporation from the earth level). Third, the impact that results from the change in soil, water, and air quality was determined. In addition to the impact, the recommended responses and expected outcomes obtained from the possible actions were determined. The responses and outcomes form a balanced relationship with economic, social, and environmental situations. Finally, the overall scenario of the DPSIRO framework was conceptualized holistically by forming a balanced relationship between economic, social, and environmental conditions. Data collection, data source, and data type The data required to develop the DPSIRO framework indicators was gathered from both primary and second- ary data sources. The five kefleketema found in the city were grouped into three major classes in order to gather appropriate information. These were the three major classes: inner, middle, and outer. The grouping tech- nique was done based on population density, geographi- cal location, and population settlement and land use pat- terns to make sample sites homogenous. Then, the data was randomly collected from the inner, middle, and outer classes to gather representative data for the study area. There are around seventeen Kebles (administrative systems) in the city’s five kefleketema. The core (inner) part includes Keble 01, 02, 03, 04, 05, 06, and 12. Keble 07, 08, 09, 10, 15, and 17 belong to the middle class. The remaining Keble numbers 11, 13, 14, and 16 are grouped into the outer class. The grouping mechanism was obtained from the Bahir Dar city administration office, which falls under the Keble level category in 2016. Keble 05, Keble 10, and Keble 11 were selected randomly to gather sample data from the inner, middle, and outer classes, respectively. A total of 65, 96, and 62 households were chosen at random to be sampled for the three respective classes. The total number of households taken from both groups was 223. The number of samples collected from sampling house- holds was 33, 36, and 27 for the central, middle, and inner regions, respectively. The total amount of residential waste weighted was 646.215 kg. The primary data gathered was gathered through solid waste characterization, focus group discussions, and face-to-face interviews with responsible parties about the current solid waste management system, industry availability, and the population number of the city. Land observation was the other technique used to deter- mine the actual capacity of municipal solid waste collected in the area, as well as their solid waste collection and sort- ing methods. Secondary data was collected through a liter- ature survey from both published and unpublished sources. Qualitative and quantitative approaches are used to ana- lyze the results of the study. Result and discussion Deriving force and pressure The three main driving forces are as follows: natural population growth rate, economic growth, and rapid urbanization all lead to the generation of municipal solid waste in the case of Bahir Dar city. With a waste gen- eration rate of 0.223 kg per capita per day, the municipal solid waste produced in Bahir Dar city increased from 73.05 tons per day in 2007 to 148.13 tons per day in 2020 (Misganaw & Teffera, 2021). The average annual population growth rate of 6.6% (Biruk, 2017; Tirusew et al., 2013) is one of the key factors influencing the shift in urban solid waste generation rate. The study of municipal solid waste in Bahir Dar revealed that as the city’s population grows, the amount of municipal solid waste generated grows as well. As shown in Table 1, solid waste production is rising in all waste generation sources. Depending on the result of the total waste gen- erated, only 58% was properly collected and disposed of and 86% of the total waste generated is degradable (Asmare & Alelign, 2019; Wegedie, 2018). Based on the analysis of the environmental sustain- ability of the DPSIRO model, the pressure of municipal solid waste generation (P) is initiated by the driving force of municipal solid waste generation (D) and can block the action of the responsible community®. A large quan- tity of solid waste is generated in residential areas. On average, it covers around 55% of the total waste. Rapid urbanization and technology used for production pro- cesses are also considered driving forces leading to waste generation in the city. In addition to waste generation, the other indicators considered as pressures are production, consumption, and land use for solid waste disposal sites. Page 5 of 13 297 Content courtesy of Springer Nature, terms of use apply. Rights reserved. Environ Monit Assess (2023) 195:297 1 3 Vol:. (1234567890) State The pressure resulting from the driving force leads to changes in the state of environmental components, such as water, air, and soil quality. This environmental degra- dation creates an elevated threat to economic growth and development (Chapagain et al., 2020). Change in envi- ronmental quality is a combination of physical, chemi- cal, and biological conditions. Greenhouse gas emissions Air pollution is one of the world’s most important chal- lenges, with long-term and short-term health conse- quences in countries of all socioeconomic levels (Luiz et al., 2020; Maroosi et al., 2019). Carbon dioxide emis- sions from the combustion of solid waste are one of the primary causes of global warming caused by the green- house effect (Fedorov & Linke, 2022). The amount of CH4 and CO2 emitted from the Bahir Dar city dump site was determined using the IPCC model. In this paper, MSW equals the amount of urban waste transported to the disposal site. Then the MSWF is equal to 58% and the remaining 42% is assumed to be lost due to recycling, waste burning at source, waste thrown in to the drains, and waste not reaching the dump site due to insufficient solid waste management system. This insufficient man- agement increases the transmission of diseases and causes contamination of surface and ground water, greenhouse gas emissions, and ecosystem damage. The total GHG emissions from dumpsites are calculated as the sum of the CO2 emissions and the CH4 emissions (converted to CO2eq) (Misganaw & Teffera, 2021). The result obtained by using this relationship was 23.112 Gg in 2007 and reached 46.873Gg in 2020. As the result indicated in Fig. 2, the emission of greenhouse gases is increasing from time to time from 2007 to 2020 proportional to pop- ulation growth. Eutrophication potential Another state condition that occurs in a body of water when the composition of organic waste rises during the generation of MSW is eutrophication. The chemi- cal formula of organic waste produced in Bahir Dar city was determined to calculate the EP (excessive biologi- cal activity of organisms due to over-nitrification) of MSW generated in the area. The percentage coverage of organic and inorganic waste generated in the city was indicated in Fig. 3. Table 2 indicates the percentage chemical composi- tion of organic wastes in terms of carbon, hydrogen, oxy- gen, and nitrogen. The weight of carbon (C), hydrogen (H), oxygen (O), and nitrogen (N) for each portion of organic waste was determined using the data in Table 2. The aim of determining the weight of elements found in organic waste was to determine the waste’s chemical molecular formula in terms of carbon, hydrogen, oxy- gen, and nitrogen to determine eutrophication potential. The chemical composition of organic wastes was determined based on the composition in the abovemen- tioned table. The total percentage composition calculated Table 1 Amount of solid waste generated in US tons/ day in different streams from 2007 to 2020 Others include street cleaning, parks beaches, recreational areas, and treatment plants Year Residential Commercial Industrial Service provider Others Total 200740.17 13.88 12.41 2.922 3.652 73.05 2008 42.29 14.61 13.07 3.076 3.845 76.90 2009 44.79 15.47 13.84 3.257 4.072 81.44 2010 47.23 16.31 14.69 3.434 4.293 85.87 2011 49.95 17.25 15.43 3.632 4.541 90.82 2012 52.61 18.17 16.26 3.826 4.783 95.66 2013 55.83 19.28 17.25 4.060 5.075 101.5 2014 59.12 20.42 18.27 4.299 5.374 107.5 2015 62.53 21.60 19.32 4.547 5.684 113.6 2016 66.00 22.80 20.40 4.800 6.000 120.0 2017 69.61 24.05 21.51 5.063 6.329 126.5 2018 73.51 25.39 22.72 5.346 6.682 133.6 2019 77.32 26.71 23.90 5.623 7.029 140.5 2020 81.47 28.14 25.18 5.925 7.406 148.1 297 Page 6 of 13 Content courtesy of Springer Nature, terms of use apply. Rights reserved. Environ Monit Assess (2023) 195:297 1 3 Vol.: (0123456789) in the organic part of the municipal solid waste of Bahir Dar city is indicated in Table 3. The eutrophication potential (EP) can be calcu- lated for any compound that contains only C, H, N, and O. In order to determine the eutrophication poten- tial of organic waste generated in Bahir Dar city, obtaining the molecular formula of the organic waste is required. Then the molecular formula of the waste can be obtained by dividing each component by its molecular weight and excluding sulfur and ash. To obtain the general chemical formula that is present in organic municipal solid waste of Bahir Dar city, use the lowest represented element, nitrogen, as the base. After taking nitrogen as the base, then dividing each value of the element by the number of moles of nitro- gen as the result indicated in Table 4. As indicated in Table 4, the organic waste produced in the city has the chemical formula C24H36O13N. The calculated values of ThOD and V were 38.75 and 0.343, respectively, by using the molecular formula of organic waste of the city and mathematical equations in the material and method part. The eutrophication potential of organic waste produced in Bahir Dar city was 0.0594 kg N-equivalent or 59.4 g N-equivalent. Leachate Like greenhouse gas emissions and eutrophication, leachate is another factor that changes the state of a given environment. A number of factors influence the proportion of leachate generated, including waste characteristics, structure, and compressed congestion; weather conditions; average annual temperature, cell size, and gradual processing of the disposal region; and groundwater impacts. Generally, leachate quantity is patterned or speci- fied through an easy water equilibrium method, con- sidering the amount of water reaching the landfill and the level of water departing from the landfill (that is, water used in biochemical processes and evaporation). The average annual evapotranspiration of Bahir Dar city is 307 mm per day and the average annual tem- perature and rainfall are 19.6 °C and 1419 mm per day, respectively. Then the average amount of leachate that is found in municipal solid waste in Bahir Dar became 1112 mm per day. Fig. 2 Net annual GHGs emission (Gg per year) from 2007 to 2020 Food waste, 43.45 Paper , 9.39 Plas�cs , 3.29Tex�les , 1.27 Rubber , 0.72 Leather & animal remain, 1.97 Yard wastes, 10.18 wood, 1.73 inorganics, 28 Fig. 3 Organic and inorganic composition of solid waste Page 7 of 13 297 Content courtesy of Springer Nature, terms of use apply. Rights reserved. Environ Monit Assess (2023) 195:297 1 3 Vol:. (1234567890) Impact In the DPSIRO framework, impacts are expressed in terms of the effect of change in the quality of the envi- ronment (soil, air, and water) on social and ecologi- cal systems. Ecosystem and human welfare effects are both included in the impacts, but the former is focused on ecosystem problems such as reducing water, soil, and air quality (Cooper, 2013). Indicators in the impact component of the DPSIRO framework are used to meas- ure the change in the state of air, soil, and water due to the pressure and the driving force caused by the state of air, soil, and water quality change. As indicated in Fig. 2, the emissions of greenhouse gases increased from 23.112 to 46.873Gg in the years between 2007 and 2020 (Misganaw & Teffera, 2021). By trapping heat, this rise contributes to climate change as well as respiratory problems caused by smog and pollution. Increased GHG emissions cause genetic damage in animals, plants, and bacteria, in addition to having an impact on human health (Mussury & Rocha, 2020). Other implications of climate change caused by greenhouse gases include extreme weather, food supply shortages, and increasing wildfires. The eutrophication potential of municipal solid waste in the city is high, and this leads to toxic poisons for human health that can be produced by harmful algal bloom species. Algal toxins can build in shellfish and, more broadly, seafood, reaching harmful levels for human and animal health. Shellfish poisoning can result in paralysis, neurotoxicity, or diarrhea. Eutrophication has a high ecological impact, in addition to human health impacts. Lake Tana, which is the largest lake in Ethiopia, is found in Bahir Dar city and has abundant fish products for the community. Increased turbidity or reduced light penetration into the lower depths of the water column is both caused by phytoplankton development. This can Table 2 Chemical compositions of organic waste components Percent by weight Component Carbon Hydrogen Oxygen Nitrogen Sulfur Ash Food waste 48.0 6.4 37.6 2.6 0.4 5.0 Paper 43.5 6.0 44.0 0.3 0.2 6.0 Plastics 60.0 7.2 22.8 - - 10.0 Textiles 55.0 6.6 31.2 4.6 0.15 2.5 Rubber 78.0 10.0 - 2.0 - 10.0 Leather and ani- mal remain 60.0 8.0 11.6 10.0 0.4 10.0 Yard wastes 47.8 6.0 38.0 3.4 0.3 4.5 wood 49.5 6.0 42.7 0.2 0.1 1.5 Table 3 General composition of solid waste in Bahir Dar city Component Composition C in Kg H in Kg O in Kg N in Kg S in Kg Ash in Kg Food waste 440.750 58.767 345.254 23.874 3.673 45.911 Paper 86.363 11.912 87.356 0.596 0.397 11.912 Plastics 41.565 4.988 15.795 - - 6.928 Textiles 14.817 1.778 8.405 1.239 0.040 0.674 Rubber 11.661 1.495 - 0.297 - 1.495 Leather and ani- mal remain 24.823 3.310 4.799 4.137 0.165 4.137 Yard waste 102.880 12.914 81.787 7.318 0.646 9.685 Wood 17.993 2.181 15.521 0.073 0.036 0.545 Total 740.852 97.345 558.917 37.534 4.957 81.287 297 Page 8 of 13 Content courtesy of Springer Nature, terms of use apply. Rights reserved. Environ Monit Assess (2023) 195:297 1 3 Vol.: (0123456789) stifle the growth of submerged aquatic plants in lakes, affecting species that rely on them. Leachate also leads to various human health impacts, like greenhouse gas emissions and eutrophication. Sweat- ing, bleeding, and stomach ailments can all be induced by drinking contaminated leachate water. Blood disorders, congenital defects, and even cancer can result from the consumption of water affected by leachate. Solid wastes generate organic pollutants and are taken by agricultural plants and their accumulation in edible parts causes seri- ous health problems to animals and humans (Parlavecchia & Loffredo, 2020). Responses There are different responses to reduce impacts on water, air, and soil environments due to MSW generation. These responses given during the time of study are: sustainable with regard to the environment (i.e., friendly with nature in current time and future), technologically feasible with adequate methods and equipment, economically feasi- ble, wanted by the society living in the city, legally much with national as well as international legislation, and also administratively attainable. Based on the scenarios, Bahir Dar City could consider responses such as transitioning from a linear to a circular economy (i.e., using waste from one sector as an input for another). In this case, there are several studies that are used as inputs to convert Bahir Dar’s policy from a linear to a circular economy system. According to Asmare and Alelign (2019) and Biruk (2017), more than 74% of Bahir Dar City’s municipalsolid waste can be used to make briquettes, and over 86% of the waste can be composted into organic fertilizer. The application of user fees for waste management ser- vices is the next possible action, because it is necessary to impose fees on waste generators. It reduces the city’s gar- bage creation from various sources. The goal of imposing waste charges is to reduce waste generation both in terms of quantity and risk, as well as to improve waste recov- ery (Michel et al., 2018; Sanjeevi & Shahabudeen, 2015). Transportation and waste treatment fees are included in the prices. The cost to be paid should be lower for sepa- rated waste than for mixed waste. The purpose of the waste tax is to promote recovery and reduce MSW on the waste disposal site (Misganaw & Teffera, 2021). Creating awareness in the community regarding reducing, reusing, and recycling (3Rs) is an important response to reduce the negative impact. Suitable waste management policies and frameworks should be implemented and monitored properly. The ability of a municipality to build in terms of economic, personnel, and technical aspects and trans- fer information to the community regarding health, socio- economic, and other harmful impacts of improper solid waste management of the city are important responses to reduce the generation and impact of waste. Outcome The responses to the DPSIRO model resulted in high effi- ciency in research to assist decision-makers in developing and executing policies in favor of the city’s municipal solid waste management system. The strategic actions taken by responsible parties at various levels of the DPSIRO framework (driver, pressure, state, and impact) lead to significant outputs related to social, environmental, and economic sustainability. The possible actions dealt with in response section lead to various outcomes. From those outcomes, the three basic states that are identified in soil, water, and air (leachate, eutrophication, and greenhouse gas emissions) can be reduced due to waste quantity reduction in waste disposal sites. Bahir Dar city’s waste disposal site consumes around 22 hectares (Asmare & Alelign, 2019). So, the implementation of the 3R policy in MSW management of Bahir Dar results in the creation of lands for construction, farming, and other purposes from waste disposal sites. The impacts resulting from inorganic fertilizer can also be reduced by substituting it with organic fertilizer (compost) and using compostable wastes as raw material. The city produced 148.12 tons of MSW per day in 2021 with a waste density of 162.3 kg/m3. The annual volume of waste was 333,291.6 m3 per year. According to Dream Light PLC’s expertise, a maximum of 0.6 m3 of solid waste is required to produce one quintal (100 kg) of compost. This indicates that 47,772 tons of compost can be produced from 86% biodegradable MSW per year. Based on this product, the total income generated per year is around 1,313,724 birr. Table 4 Molar composition and normalized mole ratio of ele- ments in MSW Element Atomic weight Moles Mole ratio Carbon 12.01 61.686 23.626 Hydrogen 1.01 96.381 35.976 Oxygen 16.00 34.932 13.039 Nitrogen 14.01 2.679 1.00 Page 9 of 13 297 Content courtesy of Springer Nature, terms of use apply. Rights reserved. Environ Monit Assess (2023) 195:297 1 3 Vol:. (1234567890) In addition to the financial benefits, the environmen- tal consequences of MSW mishandling are mitigated. Knowledge transmission regarding MSW management and the use of waste taxes and levies in society in the context of a circular economy raises public awareness about waste income production and protects people’s economy, environment, and health. Figure 4 uses the DPSIRO framework to summarize the result of better knowledge of the overarching concept of the research. As the scenario indicates in Fig. 4, there are a num- ber of cause-and-effect relationships in MSW generation and management. Various indicators present in the con- ceptual analysis of the framework can make an essential difference in the outcome of the evaluation. As the fig- ure (Fig. 4) indicates, the DPSIRO framework character- izes causal relationships and consists of six indicators (driving force indicators, pressure indicators, state indi- cators, impact indicators, response indicators, and out- come indicators). The framework is very important to integrate information from the natural, social, and eco- nomic domains. Simultaneously, these six indicators are used to reflect the fundamental meaning of sustainable development and are appropriate for researching MSW management sustainability issues. The analysis of the framework is used as an input or as a tool for the global study of waste management for researchers in different case studies. Conclusion on research findings The DPSIRO framework indicated the overall scenario of the impact of municipal solid waste on air, water, and soil. The generation of municipal solid waste in Bahir Dar city is increasing from time to time due to population growth and economic transformation as a driving force. This leads to a change in the quality of the given environment due to the mismanagement of municipal solid waste. Cur- rently, a large portion of the waste generated in Bahir Dar is dumped directly into an open dumpsite with no sorting. The amount of greenhouse gases estimated from waste disposal sites reaches 46Gg per year in terms of carbon Fig. 4 Scenario of DPSIRO framework for the municipal solid waste management system of Bahir Dar city 297 Page 10 of 13 Content courtesy of Springer Nature, terms of use apply. Rights reserved. Environ Monit Assess (2023) 195:297 1 3 Vol.: (0123456789) dioxide equivalent. Most of the waste generated in the city is organic with the molecular formula C24H36O13N. This waste increases the eutrophication in the water body with the potential of 0.0594 kg N-equivalent. The aver- age amount of leachate that is found from municipal solid waste in Bahir Dar is 1,112 mm per day, with an average annual temperature and rainfall of 19.60 °C and 1419 mm per day, respectively. These greenhouse gas emissions, eutrophication potential, and leachate are considered under the state factors of the DPSIRO framework. The waste gen- erated in the city poses various impacts on human health and wildlife. The scenario of the response indi- cated that Bahir Dar City should start to implement a policy of circular economy to reduce potential envi- ronmental and human health impacts with economic benefits. The waste composition is also used as input in order to implement those management options. According to the results, if Bahir Dar implements reduction, reuse, and recycling, it is possible to pro- duce 47,772 tons of compost per year from 86 percent biodegradable garbage. The average total amount of money produced per year, according to this product, is also around 1,313,724 Birr. The responses identi- fied in this study lead to environmental, social, and economic balance. For more investigation, quantifica- tion of the other impacts associated with municipal solid waste is recommended. Author contribution The author, Awoke Misganaw, contrib- uted to the study’s conceptualization, methodology, and soft- ware, as well as its data curation and original draft preparation, visualization, investigation, supervision, validation, reviewing, and editing. Funding Funding was provided by Debre Tabor University to conduct this research. Data availability statement The datasets generated during and/or analyzed during the current study are available from the corresponding author upon reasonable request. Declarations Consent to participate Not applicable. Consent for publication Not applicable. Competing interests The author declares no competing interests. References Adeleke, O., Akinlabi, S. A., Jen, T. C., & Dunmade, I. (2021). Application of artificial neural networksfor predicting the physical composition of municipal solid waste: An assess- ment of the impact of seasonal variation. Waste Manage- ment and Research, 39(8), 1058–1068. https:// doi. org/ 10. 1177/ 07342 42X21 991642 Asmare, M., & Alelign, B. (2019). Bahir Dar city municipal solid waste potential assessment for clean energy. American Journal of Energy Engineering, 7(1), 28–38. https:// doi. org/ 10. 11648/j. ajee. 20190 701. 14 Atkins, J. P., Burdon, D., Elliott, M., & Gregory, A. J. (2011). Management of the marine environment: Integrating ecosys- tem services and societal benefits with the DPSIR framework in a systems approach. Marine Pollution Bulletin, 62(2), 215–226. https:// doi. org/ 10. 1016/j. marpo lbul. 2010. 12. 012 Biruk, A. F. (2017). Waste management in the case of Bahir Dar City near Lake Tana shore in Northwestern Ethiopia: A review. African Journal of Environmental Science and Technology, 11(August), 393–412. https:// doi. org/ 10. 5897/ AJEST 2017. 2340 Cantera, S., Sousa, D. Z., & Irene, S. (2022). Enhanced ectoines production by carbon dioxide capture : A step further towards circular economy. Journal of CO2 Utilization, 61(February). https:// doi. org/ 10. 1016/j. jcou. 2022. 102009 Carr, E. R., Wingard, P. M., Yorty, S. C., Thompson, M. C., Jensen, N. K., Roberson, J., & Roberson, J. (2009). Applying DPSIR to sustainable development. International Journal of Sustainable Development & World Ecology, May 2013, 543– 555. https:// doi. org/ 10. 1080/ 13504 50070 94697 53 Chapagain, S. K., Mohan, G., & Fukushi, K. (2020). An extended input – output model to analyze links between manufactur- ing and water pollution in Nepal. Water Air Soil Pollut, 1–11. https:// doi. org/ 10. 1007/ s11270- 020- 04940-0 Cooper, P. (2013). Socio-ecological accounting: DPSWR, a modified DPSIR framework, and its application to marine ecosystems. Ecological Economics, 94, 106–115. https:// doi. org/ 10. 1016/j. ecole con. 2013. 07. 010 Ehara, M., Hyakumura, K., Kurosawa, K., & Araya, K. (2018). Addressing maladaptive coping strategies of local com- munities to changes in ecosystem service provisions using the DPSIR Framework. Ecological Economics, 149(April), 226–238. https:// doi. org/ 10. 1016/j. ecole con. 2018. 03. 008 Ellen, S., Taelman, E., Tonini, S., Davide, W., & Alexander. (2018). A holistic sustainability framework for waste management in European cities: Concept development. Sustainability. https:// doi. org/ 10. 3390/ su100 72184 Farzadkia, M., Jorfi, S., Nikzad, M., & Nazari, S. (2020). Eval- uation of industrial wastes management practices: Case study of the Savojbolagh industrial zone, Iran. Waste Man- agement and Research, 38(1), 44–58. https:// doi. org/ 10. 1177/ 07342 42X19 865777 Fedorov, A., & Linke, D. (2022). Data analysis of CO 2 hydro- genation catalysts for hydrocarbon production. Journal of CO2 Utilization, 61(May), 102034. https:// doi. org/ 10. 1016/j. jcou. 2022. 102034 Franco, D. G. de B., Steiner, M. T. A., & Assef, F. M. (2021). Optimization in waste landfilling partitioning in Paraná State, Page 11 of 13 297 Content courtesy of Springer Nature, terms of use apply. Rights reserved. Environ Monit Assess (2023) 195:297 1 3 Vol:. (1234567890) Brazil. Journal of Cleaner Production, 283. https:// doi. org/ 10. 1016/j. jclep ro. 2020. 125353 Inghels, D., Dullaert, W., & Bloemhof, J. (2016). A model for improving sustainable green waste recovery. Resources, Conservation & Recycling, 110, 61–73. https:// doi. org/ 10. 1016/j. resco nrec. 2016. 03. 013 Kassie, K. E. (2016). The problem of solid waste management and people awareness on appropriate solid waste disposal in Bahir Dar City: Amhara region, Ethiopia. ISABB Jour- nal of Health and Environmental Sciences, 3(1), 1–8. https:// doi. org/ 10. 5897/ ISAAB- JHE20 16. 0026 Kaza, S., Yao, L., Bhada-tata, P., & Van Woerden, F. (2018). What a waste 2.0: A Global Snapshot of Solid Waste Man- agement to 2050. World Bank. https:// doi. org/ 10. 1596/ 978-1- 4648 Krammer, A., Peham, M., & Lehner, M. (2022). 2D heteroge- neous model of a polytropic methanation reactor. Journal of CO2 Utilization, 62(May), 102059. https:// doi. org/ 10. 1016/j. jcou. 2022. 102059 Liu, J., Tian, Y., Huang, K., & Yi, T. (2021). Spatial-temporal differentiation of the coupling coordinated development of regional energy-economy-ecology system: A case study of the Yangtze River Economic Belt. Ecological Indicators, 124, 107394. https:// doi. org/ 10. 1016/j. ecoli nd. 2021. 107394 Liu, S., Ding, P., Xue, B., Zhu, H., & Gao, J. (2020). Urban sus- tainability evaluation based on the DPSIR dynamic model : A case study in Shaanxi. Sustainability, 10 September. Liu, W., Sun, C., Zhao, M., & Wu, Y. (2019). Application of a DPSIR modeling framework to assess spatial–temporal dif- ferences of water poverty in China. Journal of the Ameri- can Water Resources Association, 55(1), 259–273. https:// doi. org/ 10. 1111/ 1752- 1688. 12724 Luiz, M., Rogério, P., Patricia, V., Kawase, R., Tribess, A., & Morawska, L. (2020). Impact of filtration conditions on air quality in an operating room. International Journal of Environmental Research, 14(6), 685–692. https:// doi. org/ 10. 1007/ s41742- 020- 00286-x Makarichi, L., Techato, K., & Jutidamrongphan, W. (2018). Mate- rial fl ow analysis as a support tool for multi-criteria analy- sis in solid waste management decision-making. Resources, Conservation & Recycling, 139(March), 351–365. https:// doi. org/ 10. 1016/j. resco nrec. 2018. 07. 024 Malekmohammadi, B., & Jahanishakib, F. (2017). Vulnerability assessment of wetland landscape ecosystem services using driver-pressure-state-impact-response (DPSIR ) model. Eco- logical Indicators, 82(March), 293–303. https:// doi. org/ 10. 1016/j. ecoli nd. 2017. 06. 060 Malmir, M., Javadi, S., Moridi, A., Neshat, A., & Razdar, B. (2021). A new combined framework for sustainable devel- opment using the DPSIR approach and numerical mode- ling. Geoscience Frontiers, 12(4), 101169. https:// doi. org/ 10. 1016/j. gsf. 2021. 101169 Mao, X., Wang, X., Chen, Q., & Yin, X. (2014). A PSR- framework-based health assessment of Ulansuhai Lake in China. Pollution Journal of Environmental Study, 23(6), 2093–2102. Maroosi, M., Mesdaghinia, A., Alimohammadi, M., Naddafi, K., Mahvi, A. H., & Nabizadeh Nodehi, R. (2019). Developing environmental health indicators [EHIs] for Iran based on the causal effect model. Journal of Environmental Health Science and Engineering, 17(1), 273–279. https:// doi. org/ 10. 1007/ s40201- 019- 00346-1 Matheus, D. R. (2018). The impact of socioeconomic factors on municipal solid waste generation in São. Waste Management & Research. https:// doi. org/ 10. 1177/ 07342 42X17 744039 Mattos, R., Daniel, F., & Stolte, B. (2020). A municipal solid waste indicator for environmental impact: Assessment and identi fi cation of best management practices. Journal of Cleaner Production, 242, 118433. https:// doi. org/ 10. 1016/j. jclep ro. 2019. 118433 Michel, R., de Bilbao, E., & Poirier, J. (2018). Recycling bauxite waste for the mineral industry: Phase transforma- tions and microstructure during sintering. Waste and Bio- mass Valorization, 9(7), 1261–1271. https:// doi. org/ 10. 1007/ s12649- 016- 9775-y Misganaw, A., & Akenaw, B. (2022). Water quality sustainabil- ity assessment using the DPSIRO dynamic model : A case study of Ethiopian Lake Tana water. Modeling Earth Sys- tems and Environment, 18(0123456789). https:// doi. org/ 10. 1007/ s40808- 022- 01438-y Misganaw, A., & Teffera, B. (2021). Development of DPSIRO framework indicators for municipal solid waste manage- ment: A case of Bahir Dar city, Ethiopia. Journal of Mate- rial Cycles and Waste Management, 23, 2101–2111. https:// doi. org/ 10. 1007/ s10163- 021- 01266-9 Misganaw, A., & Teffera, B. (2022). An assessment of the waste- to-energy potential of municipal solid wastes in Ethiopia. BioresourceTechnology Reports, 19. https:// doi. org/ 10. 1016/ j. biteb. 2022. 101180 Mussury, R. M., & Rocha, A. do N. (2020). Green areas in an urban environment minimize the mutagenic effects of pol- luting gases. Water Air Soil Pollut. https:// doi. org/ 10. 1007/ s11270- 020- 04929-9 Neves, R., Baretta, J., & Mateus, M. (2008). The DPSIR framework applied to the integrated management of coastal areas. Per- spectives on Integrated Coastal Zone Management in South America, October. https:// doi. org/ 10. 13140/2. 1. 3841. 6960 Noufal, M., Yuanyuan, L., Maalla, Z., & Adipah, S. (2020). Deter- minants of household solid waste generation and composi- tion in Homs city, Syria. Journal of Environmental and Pub- lic Health, 2020. https:// doi. org/ 10. 1155/ 2020/ 74603 56 Parlavecchia, M., & Loffredo, E. (2020). Soil amendment with biochar, hydrochar and compost mitigates the accumulation of emerging pollutants in rocket salad plants. Water, Air, & Soil Pollution. https:// doi. org/ 10. 1007/ s11270- 020- 04915-1 Rapport, D., & Friend, A. (1979). Towards a comprehensive frame- work for environmental statistics: A stress-response approach. Statistics Canada Catalogue 11–510. Minister of Supply and Services Canada, Ottawa. Robele, S., Ortiz, C. E., A-uribe, B., Icely, J. D., & Newton, A. (2018). A DPSIR-analysis of water uses and related water quality issues in the Colombian Alto and Medio Dagua Community Council. In Water Science (vol. 32, issue 2, pp. 318–337). https:// doi. org/ 10. 1016/j. wsj. 2018. 06. 001 Salem, M., Raab, K., & Wagner, R. (2020). Solid waste man- agement: The disposal behavior of poor people living in Gaza Strip refugee camps. Resources, Conservation & Recycling, 153(October 2019), 104550. https:// doi. org/ 10. 1016/j. resco nrec. 2019. 104550 297 Page 12 of 13 Content courtesy of Springer Nature, terms of use apply. Rights reserved. Environ Monit Assess (2023) 195:297 1 3 Vol.: (0123456789) Sanjeevi, V., & Shahabudeen, P. (2015). Development of per- formance indicators for municipal solid waste management (PIMS): A review. Waste Management and Research, 33(12), 1052–1065. https:// doi. org/ 10. 1177/ 07342 42X15 607428 Singh, A. (2019). Solid waste management through the applica- tions of mathematical models Solid Waste in Urban Areas. Resources, Conservation & Recycling, 151(September), 104503. https:// doi. org/ 10. 1016/j. resco nrec. 2019. 104503 Skondras, N. A., & Karavitis, C. A. (2015). Evaluation and com- parison of DPSIR framework and the combined SWOT – DPSIR analysis (CSDA) approach : Towards embracing complexity. Global NEST Journal, 17(1), 198–209. https:// doi. org/ 10. 30955/ gnj. 001480 Tirusew, A., Ebistu, M., & Sewnet, A. (2013). Solid waste dump- ing site suitability analysis using geographic information system ( GIS ) and remote sensing for Bahir Dar Town, North Western Ethiopia. African Journal of Environmental Science and Technology, 7(November), 976–989. https:// doi. org/ 10. 5897/ AJEST 2013. 1589 Wang, D., Tang, Y., Long, G., Higgitt, D., He, J., & Robinson, D. (2020). Future improvements on performance of an EU landfill directive driven municipal solid waste management for a city in England. Waste Management, 102, 452–463. https:// doi. org/ 10. 1016/j. wasman. 2019. 11. 009 Wang, Q., Li, S., & Li, R. (2018). Evaluating water resource sustainability in Beijing, China: Combining PSR model and matter-element extension method. Journal of Cleaner Production. https:// doi. org/ 10. 1016/j. jclep ro. 2018. 09. 057 Wegedie, K. T. (2018). Households solid waste generation and man- agement behavior in case of Bahir Dar City, Amhara National Regional State. Ethiopia. Cogent Environmental Science, 4(1), 1–18. https:// doi. org/ 10. 1080/ 23311 843. 2018. 14710 25 Wei, Y., Zhu, X., Li, Y., Yao, T., & Tao, Y. (2019). Influential factors of national and regional CO2 emission in China based on combined model of DPSIR and PLS-SEM. Jour- nal of Cleaner Production, 212(2019), 698–712. https:// doi. org/ 10. 1016/j. jclep ro. 2018. 11. 155 Zorpas, A. A. (2020). Strategy development in the framework of waste management. Science of the Total Environment, 716, 137088. https:// doi. org/ 10. 1016/j. scito tenv. 2020. 137088 Zorpas, A. A., Lasaridi, K., Pociovalisteanu, D. M., & Loizia, P. (2017). Monitoring and evaluation of prevention activi- ties regarding household organics waste from insular com- munities. Journal of Cleaner Production, 172, 3567–3577. https:// doi. org/ 10. 1016/j. jclep ro. 2017. 03. 155 Publisher’s Note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Page 13 of 13 297 Content courtesy of Springer Nature, terms of use apply. Rights reserved. 1. 2. 3. 4. 5. 6. Terms and Conditions Springer Nature journal content, brought to you courtesy of Springer Nature Customer Service Center GmbH (“Springer Nature”). 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