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See LCA studies →Author: Dr. Mahdi Ikhlayel. Publisher: DEISO Research, Tokyo. Study conducted in 2016; first published in 2026. DOI: 10.13140/RG.2.2.28789.95206
Open burning, open dumping and uncontrolled landfilling are still the main ways municipal solid waste is disposed of across low- and middle-income countries. This study measures what those practices do to the environment, per tonne of waste, across three income groups and two climates.
In short: human toxicity dominates open burning everywhere, at about 77% of the weighted impact. For open dumps and uncontrolled landfills, climate decides the profile — freshwater ecotoxicity and eutrophication lead in humid climates, human toxicity leads in arid ones.
Functional unit1 tonne of municipal solid waste disposed of
Disposal methodsOpen burning, open dump, uncontrolled landfill
Cases3 World Bank income groups × arid and humid climates
Impact methodCML 2001, five midpoint categories
This life cycle assessment estimates the potential environmental impacts of disposing of municipal solid waste (MSW) in developing countries. It covers waste from three economies — low-income, lower-middle-income and upper-middle-income — in two climate zones, arid and humid, and three disposal methods: uncontrolled (unsanitary) landfilling, open dumping and open burning. Five impact categories are assessed with the CML 2001 method: acidification potential (AP), eutrophication potential (EP), freshwater aquatic ecotoxicity potential (FAETP), global warming potential (GWP) and human toxicity potential (HTP). The study gives a baseline for the environmental cost of poor waste handling, and shows how that cost changes with climate, income level and waste composition.
Keywords: waste management; uncontrolled landfills; open dumps; open burning; environmental impacts; developing countries; life cycle assessment; heavy metals
The world generated an estimated 2.01 billion tonnes of municipal solid waste in 2016, and that figure is projected to reach 3.40 billion tonnes by 2050 (Kaza et al., 2018). Disposal practice divides sharply by income: about 93% of waste is dumped in low-income countries, against 2% in high-income countries (Kaza et al., 2018). Collection gaps, limited budgets and weak enforcement keep open dumping and open burning in place across much of Africa, Asia and Latin America (Guerrero et al., 2013; Ferronato & Torretta, 2019).
Each of these practices moves pollutants into a different part of the environment. Dumps and uncontrolled landfills release leachate to soil and water and landfill gas to air. Open burning releases trace gases, particulate matter and hazardous air pollutants that are largely missing from national emission inventories (Wiedinmyer et al., 2014). Life cycle assessment has been applied widely to solid waste management (Laurent et al., 2014), and earlier work has used uncontrolled disposal as the baseline against which better systems for developing countries are designed (Ikhlayel, 2018b). What is missing is a consistent picture of how the impacts of the disposal practices themselves shift with income level and climate.
The study assesses the environmental impacts of MSW disposal in developing countries across three economies and, for each, an arid and a humid climate. It looks at uncontrolled (unsanitary) landfilling, open dumping and open burning, because they are widely practised in many developing countries. The evaluation is built to show the impacts of these practices, how each contributes to environmental degradation, and which environmental issue is most pressing for a given economy and climate.
Three research questions guide the work:
The study does not rank individual countries. A ranking would need accurate data on each country’s whole waste management system — collection schemes, transport distances and energy, the share and composition of waste openly burned, and the size of informal recycling — and those data are either unavailable or do not exist.
The assessment follows the life cycle assessment framework of ISO 14040 and ISO 14044 (ISO, 2006a; ISO, 2006b). The following were kept outside the system boundary: waste collection from the point of generation to the disposal site or a transfer station; transport to a landfill or dump; informal recycling; other treatment such as composting and formal pilot projects; and the energy used to handle waste at disposal sites. The results therefore represent the potential emissions and impacts of the disposal step itself. Countries are grouped as low-income, lower-middle-income and upper-middle-income following the World Bank classification (World Bank, 2016).
The functional unit is 1 tonne of MSW disposed of by uncontrolled landfilling, open dumping or open burning in a developing country, defined by its economic level and climate.
Emissions to air, water and soil were estimated for each disposal method, economy, climate and waste composition. Inventories for uncontrolled landfills and open dumps came from the waste-specific and climate-specific model of Doka (2016a); inventories for open burning came from the waste-specific model of Doka (2016b). Both models were run for the waste of each economy, for arid and humid conditions, and for 1 tonne of each single waste type. The climate inputs were mean annual temperature, mean annual precipitation and mean actual evapotranspiration. The methane correction factor follows the IPCC guidelines (IPCC, 2006). Energy used at disposal sites was outside the scope, so no energy data were needed.
All inventory and impact calculations in this study were built and run in Microsoft Excel.
Waste composition data came from the World Bank (Hoornweg & Bhada-Tata, 2012) and cover organic, paper, plastic, metals, glass and “other” waste. The source does not define “other” waste, and many countries do not report it. In this study it was taken as rubber, textiles, wood and a hazardous e-waste portion mixed with MSW, at 25% each, based on fractions reported for developing countries (Guerrero et al., 2013; Wilson et al., 2015). E-waste in many developing countries is collected and disposed of together with MSW (Ikhlayel, 2017; Ikhlayel, 2018a).
Table 1. Parameters used in the study.| Parameter | Value | Source |
|---|---|---|
| Waste composition, low income (organic / paper / plastic / glass / metals / other) | 64 / 5 / 8 / 3 / 3 / 17% | Hoornweg & Bhada-Tata, 2012 |
| Waste composition, lower-middle income | 59 / 9 / 12 / 3 / 2 / 15% | Hoornweg & Bhada-Tata, 2012 |
| Waste composition, upper-middle income | 54 / 14 / 11 / 5 / 3 / 13% | Hoornweg & Bhada-Tata, 2012 |
| Make-up of “other waste” | Rubber, textiles, wood and e-waste, 25% each | Assumption; see Guerrero et al., 2013, Wilson et al., 2015 |
| Climate inputs per zone | Mean annual temperature, mean annual precipitation, mean actual evapotranspiration for an arid and a humid zone | Hijmans et al., 2005; Mu et al., 2011 |
| Methane correction factor (MCF) | 0.6, the default for uncategorised disposal sites | IPCC, 2006 |
| Metal fraction burned in open burning | 10% | Assumption |
| Landfill height / open-dump height | 20 m / 10 m | Assumption |
| Landfill operating time | 30 years | Assumption |
| Definitions of uncontrolled landfill, open dump and open burning | As used in the inventory models | Doka, 2016a; Doka, 2016b; Hoornweg & Bhada-Tata, 2012 |
Several impact assessment methods exist, including ILCD, IMPACT 2002+ and ReCiPe. The CML 2001 method (Guinée, 2002) was used at midpoint level because it is widely applied to municipal solid waste management. Five categories were evaluated: acidification potential (AP), eutrophication potential (EP), freshwater aquatic ecotoxicity potential (FAETP), global warming potential over 100 years (GWP) and human toxicity potential (HTP).
Open burning produces a near-identical profile in both climates and all three economies. Human toxicity is the largest share, at about 77% on average, followed by freshwater aquatic ecotoxicity at about 21%; eutrophication makes up most of the remainder.
For open dumps and uncontrolled landfills the profile depends on climate. In humid conditions freshwater aquatic ecotoxicity is the largest share, at about 60% on average, followed by eutrophication at about 30% and human toxicity at about 10%. In arid conditions human toxicity leads at about 60% and freshwater aquatic ecotoxicity follows at about 35%. Leaving those two categories aside, eutrophication is the largest remaining impact in the humid climate and global warming in the arid one. Acidification is noticeable in the arid climate and negligible in the humid one; global warming is similar in both.
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| Climate | Income group | Method | HTP | GWP | FAETP | EP | AP |
|---|---|---|---|---|---|---|---|
| Arid | Low | Open burning | 75.5% | 0.5% | 21.5% | 2% | 0.5% |
| Arid | Low | Open dump / uncontrolled landfill | 58% | 2% | 36.5% | 2.8% | 0.7% |
| Arid | Lower-middle | Open burning | 80% | 0.3% | 17% | 2.2% | 0.5% |
| Arid | Lower-middle | Open dump / uncontrolled landfill | 60% | 3% | 33% | 3.3% | 0.7% |
| Arid | Upper-middle | Open burning | 76% | 0.5% | 21% | 2% | 0.5% |
| Arid | Upper-middle | Open dump / uncontrolled landfill | 59% | 2.7% | 35.3% | 2.5% | 0.5% |
| Humid | Low | Open burning | 75.5% | 0.5% | 21.5% | 2% | 0.5% |
| Humid | Low | Open dump / uncontrolled landfill | 6.5% | 2% | 64% | 27.2% | 0.3% |
| Humid | Lower-middle | Open burning | 80% | 0.3% | 17% | 2.2% | 0.5% |
| Humid | Lower-middle | Open dump / uncontrolled landfill | 7.5% | 2.3% | 54.5% | 35.3% | 0.4% |
| Humid | Upper-middle | Open burning | 76% | 0.5% | 21% | 2% | 0.5% |
| Humid | Upper-middle | Open dump / uncontrolled landfill | 8.5% | 2.2% | 61% | 27.9% | 0.4% |
By economy, human toxicity from open burning changes little, from 2,080 to 2,170 kg 1,4-DB-eq per tonne in both climates. With open dumping and uncontrolled landfilling, freshwater aquatic ecotoxicity is the main concern for low-income countries in humid conditions, while human toxicity is the main contributor in arid conditions. In lower-middle-income countries with humid conditions, freshwater aquatic ecotoxicity and eutrophication are both significant, and human toxicity is the most severe impact under arid conditions. Upper-middle-income countries follow the lower-middle-income pattern in arid conditions; in humid conditions freshwater aquatic ecotoxicity and human toxicity are the most severe. Table 2 gives the characterised results per tonne.
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| Disposal method | Climate | Income group | AP (kg SO₂-eq) | EP (kg PO₄-eq) | FAETP (kg 1,4-DB-eq) | GWP incl. biogenic (kg CO₂-eq) | GWP excl. biogenic (kg CO₂-eq) | HTP (kg 1,4-DB-eq) |
|---|---|---|---|---|---|---|---|---|
| Open burning | Arid and humid | Low | 0.405 | 4.88 | 573 | 196 | 188 | 2,130 |
| Open burning | Arid and humid | Lower-middle | 0.405 | 4.56 | 419 | 196 | 189 | 2,080 |
| Open burning | Arid and humid | Upper-middle | 0.405 | 4.20 | 572 | 196 | 188 | 2,170 |
| Open dump and uncontrolled landfill | Humid | Low | 0.437 | 34.2 | 1,150 | 432 | 333 | 129 |
| Open dump and uncontrolled landfill | Humid | Lower-middle | 0.411 | 38.4 | 832 | 471 | 363 | 126 |
| Open dump and uncontrolled landfill | Humid | Upper-middle | 0.378 | 37.2 | 1,150 | 520 | 399 | 170 |
| Open dump and uncontrolled landfill | Arid | Low | 0.818 | 2.98 | 557 | 432 | 333 | 916 |
| Open dump and uncontrolled landfill | Arid | Lower-middle | 0.840 | 2.79 | 403 | 471 | 363 | 762 |
| Open dump and uncontrolled landfill | Arid | Upper-middle | 0.763 | 2.56 | 556 | 520 | 399 | 957 |
The main heavy-metal emissions are antimony, arsenic, cadmium, chromium, chromium (VI), cobalt, lead, manganese, mercury, nickel, selenium, silver, tin, titanium, vanadium and zinc. Lead and zinc are the most significant. Compared with other metals on the same emission path, lead emissions to water are the highest in every case, and higher in the arid climate than in the humid one; lead is also significant in soil and slight in air. Zinc emissions are significant to air, followed by soil. Figure 2 shows the mix of the remaining metals in each case.
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Figure 3 shows where those emissions go. In the humid climate the fate of heavy metals from dumps and uncontrolled landfills is almost entirely water, while in the arid climate it is soil, at about 90%, and air, at about 8%. Open burning sends metal emissions to soil in every case. Across the elements examined, metal presence in soil is significant compared with air, and the same holds for emissions overall, regardless of economy and disposal method.
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Figure 4 aggregates the weighted impacts by economy and climate. Human toxicity is more significant in arid conditions, highest in upper-middle-income countries (21.6%). Global warming is highest in upper-middle-income countries in both climates (18.0%). Freshwater aquatic ecotoxicity is significant in humid conditions, at 23.1% for both low-income and upper-middle-income countries, and lowest for lower-middle-income countries in arid conditions (9.9%). Eutrophication is significant in humid conditions, particularly in lower-middle-income (30.8%), upper-middle-income (29.8%) and low-income (27.9%) countries. Acidification is higher in arid conditions, at 21.4% for lower-middle-income and 21.0% for low-income countries.
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| Impact category | LIC arid | LIC humid | LMIC arid | LMIC humid | UMIC arid | UMIC humid |
|---|---|---|---|---|---|---|
| Acidification | 21.02% | 13.11% | 21.42% | 12.63% | 19.89% | 11.94% |
| Eutrophication | 4.11% | 27.86% | 3.86% | 30.83% | 3.55% | 29.79% |
| Freshwater aquatic ecotoxicity | 13.56% | 23.11% | 9.87% | 16.80% | 13.56% | 23.11% |
| Global warming | 15.42% | 15.41% | 16.57% | 16.57% | 18.02% | 18.02% |
| Human toxicity | 20.98% | 12.65% | 19.10% | 12.35% | 21.62% | 13.30% |
To isolate the effect of composition, 1 tonne of each waste type — organic, paper, plastic, glass, metals and other waste — from low-income countries was modelled through open dumping and uncontrolled landfilling in both climates. The worst impacts come from the disposal of metals, in both climates. The next worst come from plastic, other waste and paper in the humid climate. Glass has the lowest impacts in both climates.
Each fraction points to a particular concern: metals to human toxicity and freshwater aquatic ecotoxicity; paper to human toxicity; plastic to eutrophication and freshwater aquatic ecotoxicity; organic waste to global warming, human toxicity and freshwater aquatic ecotoxicity; glass to human toxicity and freshwater aquatic ecotoxicity; and other waste to eutrophication, freshwater aquatic ecotoxicity and human toxicity. These findings agree with the results for whole waste compositions.
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| Waste type | AP | EP | FAETP | GWP | HTP |
|---|---|---|---|---|---|
| Organic | 60% / 40% | 9% / 91% | 33% / 67% | 50% / 50% | 78% / 22% |
| Paper | 47.5% / 52.5% | 3% / 97% | 32.5% / 67.5% | 50% / 50% | 53.5% / 46.5% |
| Plastic | 91.5% / 8.5% | 1% / 99% | 33% / 67% | 50% / 50% | 98.5% / 1.5% |
| Glass | 100% / 0% | – | 33% / 67% | – | 99.5% / 0.5% |
| Metals | – | – | 32.5% / 67.5% | – | 90% / 10% |
| Other waste | 61.5% / 38.5% | 12% / 88% | 33% / 67% | 50% / 50% | 97.5% / 2.5% |
The sensitivity analysis used waste disposal in low-income countries with arid conditions, through uncontrolled landfills and open dumps, for a composition of 64% organic, 5% paper, 8% plastic, 3% glass, 3% metals and 17% other waste (Hoornweg & Bhada-Tata, 2012). Each fraction was varied by one standard deviation of −50% and +50%. The overall results do not change, but the analysis shows which inputs carry influence: the metals fraction and the organic fraction have the strongest effect, and glass and other waste also move the results in some cases.
Table 3. Results of the sensitivity analysis.| Case | Organic | Paper | Plastic | Glass | Metals | Other waste |
|---|---|---|---|---|---|---|
| 1 − SD | −2.7% | −0.7% | −1.7% | −29.3% | −13.2% | −2.4% |
| 1 + SD | 2.7% | 0.7% | 1.7% | 29.3% | 13.2% | 2.4% |
| 2 − SD | −1.2% | −0.5% | −0.9% | −7.3% | −35.9% | −4.4% |
| 2 + SD | 1.2% | 0.5% | 0.9% | 7.3% | 35.9% | 4.4% |
| 3 − SD | −9.0% | −0.5% | −7.4% | −13.0% | 0.0% | −20.1% |
| 3 + SD | 9.0% | 0.5% | 7.4% | 13.0% | 0.0% | 20.1% |
| 4 − SD | −33.0% | −9.2% | −1.1% | 0.0% | 0.0% | −6.8% |
| 4 + SD | 33.0% | 9.2% | 1.1% | 0.0% | 0.0% | 6.8% |
| 5 − SD | −14.3% | −1.3% | −1.7% | 0.0% | 0.0% | −32.7% |
| 5 + SD | 14.3% | 1.3% | 1.7% | 0.0% | 0.0% | 32.7% |
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Uncertainty was tested with a Monte Carlo analysis of 1,000 runs with randomly generated parameters. Table 4 lists, for each impact category, the share of runs that changed the result by a given amount. Freshwater aquatic ecotoxicity results cluster tightly: about 62% of runs changed the result by no more than ±0.5%, about 92% by no more than ±1.5%, and none by more than ±4.5%. Human toxicity spreads a little wider, with about 74% of runs within ±2.5%. For acidification, global warming and eutrophication, no single change band holds more than 5% of runs. All recorded changes stay within ±9.5% of the base result, so the results are stable.
Table 4. Monte Carlo analysis: share of 1,000 runs, by change in result and impact category.| Change in result | HTP | FAETP | AP | GWP | EP |
|---|---|---|---|---|---|
| −9.5% | 0.06% | 0% | 2.5% | 1.03% | 2.06% |
| −8.5% | 0.07% | 0% | 2.88% | 1.11% | 2.37% |
| −7.5% | 0.33% | 0% | 2.98% | 1.25% | 2.39% |
| −6.5% | 0.75% | 0% | 3.39% | 1.33% | 2.36% |
| −5.5% | 2.03% | 0% | 3.61% | 1.05% | 2.59% |
| −4.5% | 3.39% | 0.05% | 3.78% | 1.19% | 2.53% |
| −3.5% | 6.3% | 0.46% | 4.01% | 1.41% | 2.79% |
| −2.5% | 9.53% | 3.79% | 4.14% | 0.97% | 2.71% |
| −1.5% | 12.28% | 14.87% | 4.48% | 1.4% | 2.73% |
| −0.5% | 14.91% | 30.49% | 4.51% | 1.21% | 2.96% |
| +0.5% | 14.55% | 31.14% | 4.45% | 1.12% | 2.83% |
| +1.5% | 13.31% | 15.15% | 4.12% | 1.37% | 2.64% |
| +2.5% | 9.43% | 3.64% | 4.18% | 1.14% | 2.51% |
| +3.5% | 6.32% | 0.39% | 4.4% | 1.05% | 2.78% |
| +4.5% | 3.79% | 0.02% | 4.14% | 1.23% | 2.69% |
| +5.5% | 1.83% | 0% | 3.66% | 1.1% | 2.68% |
| +6.5% | 0.74% | 0% | 3.62% | 1.07% | 2.87% |
| +7.5% | 0.29% | 0% | 3.07% | 1.15% | 2.46% |
| +8.5% | 0.06% | 0% | 2.63% | 1.23% | 2.3% |
| +9.5% | 0.03% | 0% | 2.54% | 1.13% | 2.27% |
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All three disposal practices damage the environment, but not in the same way. The answer to the first research question is yes, though less than expected: income level shifts the size of individual impacts by a few percentage points, while the ranking of concerns stays much the same. The answer to the second is strongly yes: for dumps and uncontrolled landfills, climate decides whether the main burden falls on freshwater ecosystems or on human health. The answer to the third is that a few fractions — metals above all, then plastic and organic waste — carry most of the impact.
Three practical priorities follow from the results:
Open burning. In this study it carries about 77% of the weighted impact as human toxicity in every income group and climate, and its characterised human toxicity potential is 2,080 to 2,170 kg 1,4-DB-eq per tonne of waste, against 126 to 957 kg for open dumps and uncontrolled landfills.
In humid climates heavy metals leave the site mostly through water, so freshwater aquatic ecotoxicity (about 60% of the weighted impact) and eutrophication (about 30%) dominate. In arid climates emissions go mainly to soil and air, and human toxicity leads at about 60%, followed by freshwater aquatic ecotoxicity at about 35%.
Between 432 and 520 kg CO₂-eq per tonne including biogenic carbon, or 333 to 399 kg CO₂-eq excluding it, rising with income level. Open burning of the same tonne gives about 196 kg CO₂-eq including biogenic carbon.
Metals, through human toxicity and freshwater aquatic ecotoxicity. Plastic raises eutrophication and ecotoxicity, organic waste contributes to global warming, human toxicity and ecotoxicity, and glass has the lowest impact of the fractions studied.
Yes. DEISO runs life cycle assessments of waste collection, treatment and disposal systems, from inventory modelling through scenario comparison to reporting. Requests go through the DEISO quotation form.
Researchers are welcome to cite this study, and the full study is available as a PDF. Please credit Dr. Mahdi Ikhlayel as the author and DEISO Research as the publisher, using one of the formats below; the link to this page is added automatically.
Ikhlayel, M. (2026). Environmental impacts of open dumping, uncontrolled landfilling and open burning of municipal solid waste in developing countries: a life cycle assessment by income level and climate zone. DEISO Research. https://doi.org/10.13140/RG.2.2.28789.95206
Ikhlayel, M. (2026) Environmental impacts of open dumping, uncontrolled landfilling and open burning of municipal solid waste in developing countries: a life cycle assessment by income level and climate zone. Tokyo: DEISO Research. Available at: https://doi.org/10.13140/RG.2.2.28789.95206
@techreport{ikhlayel2026msw,
author = {Ikhlayel, Mahdi},
title = {Environmental impacts of open dumping, uncontrolled landfilling and open burning of municipal solid waste in developing countries: a life cycle assessment by income level and climate zone},
institution = {DEISO Research},
publisher = {DEISO Research},
address = {Tokyo, Japan},
year = {2026},
doi = {10.13140/RG.2.2.28789.95206}
}DEISO runs life cycle assessments of waste collection, treatment and disposal systems, from inventory modelling to scenario comparison and reporting. DEISO also trains teams to run these studies themselves.
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