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Environmental impacts of open dumping, uncontrolled landfilling and open burning of municipal solid waste in developing countries

A 전과정평가(LCA) by income level and climate zone

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.

At a glance

기능 단위1 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

Key findings

What the study found

  • Open burning — human toxicity is about 77% of the weighted impact in every income group and both climates, with freshwater aquatic ecotoxicity at about 21%. Per tonne, open burning gives 2,080–2,170 kg 1,4-DB-eq of human toxicity potential.
  • Open dumps and uncontrolled landfills, humid climate — freshwater aquatic ecotoxicity (about 60%) and eutrophication (about 30%) dominate, because heavy metals leave the site through water.
  • Open dumps and uncontrolled landfills, arid climate — human toxicity leads at about 60%, followed by freshwater aquatic ecotoxicity at about 35%; emissions go mainly to soil, with about 8% to air.
  • Global warming — dumping one tonne gives 432–520 kg CO₂-eq including biogenic carbon (333–399 kg excluding it), more than twice the 196 kg of open burning, and it rises with income level.
  • Heavy metals — lead and zinc are the largest metal emissions; lead to water is the highest in every case.
  • Waste fractions — metals cause the highest impacts, plastic drives eutrophication and ecotoxicity, and glass has the lowest impact.
Abstract

Abstract

This 전과정평가(LCA) 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; 전과정평가(LCA); heavy metals

백그라운드

Waste disposal in developing countries

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.

Objective and scope

Objective, research questions and scope

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:

  1. Do the environmental impacts differ from one economy to another?
  2. Do climate conditions influence those impacts?
  3. How does waste composition affect each impact category?

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.

Method

Method

Life cycle assessment and system boundaries

The assessment follows the 전과정평가(LCA) 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).

기능 단위

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.

Inventory analysis

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.

Calculation method

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.
ParameterValueSource
Waste composition, low income (organic / paper / plastic / glass / metals / other)64 / 5 / 8 / 3 / 3 / 17%Hoornweg & Bhada-Tata, 2012
Waste composition, lower-middle income59 / 9 / 12 / 3 / 2 / 15%Hoornweg & Bhada-Tata, 2012
Waste composition, upper-middle income54 / 14 / 11 / 5 / 3 / 13%Hoornweg & Bhada-Tata, 2012
Make-up of “other waste”Rubber, textiles, wood and e-waste, 25% eachAssumption; see Guerrero et al., 2013, Wilson et al., 2015
Climate inputs per zoneMean annual temperature, mean annual precipitation, mean actual evapotranspiration for an arid and a humid zoneHijmans et al., 2005; Mu et al., 2011
Methane correction factor (MCF)0.6, the default for uncategorised disposal sitesIPCC, 2006
Metal fraction burned in open burning10%Assumption
Landfill height / open-dump height20 m / 10 mAssumption
Landfill operating time30 yearsAssumption
Definitions of uncontrolled landfill, open dump and open burningAs used in the inventory modelsDoka, 2016a; Doka, 2016b; Hoornweg & Bhada-Tata, 2012

Life cycle impact assessment

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).

Results

Results and discussion

Impact profile by disposal method

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.

Human toxicity (HTP)Global warming (GWP)Freshwater aquatic ecotoxicity (FAETP)Eutrophication (EP)Acidification (AP)

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Figure 1. Share of weighted environmental impact by disposal method, income group and climateArid climate0%25%50%75%100%Low incomeLow income, arid, open burning: Human toxicity 75.5%Low income, arid, open burning: Global warming 0.5%Low income, arid, open burning: Freshwater aquatic ecotoxicity 21.5%Low income, arid, open burning: Eutrophication 2%Low income, arid, open burning: Acidification 0.5%OpenburningLow income, arid, open dump: Human toxicity 58%Low income, arid, open dump: Global warming 2%Low income, arid, open dump: Freshwater aquatic ecotoxicity 36.5%Low income, arid, open dump: Eutrophication 2.8%Low income, arid, open dump: Acidification 0.7%OpendumpLow income, arid, uncontrolled landfill: Human toxicity 58%Low income, arid, uncontrolled landfill: Global warming 2%Low income, arid, uncontrolled landfill: Freshwater aquatic ecotoxicity 36.5%Low income, arid, uncontrolled landfill: Eutrophication 2.8%Low income, arid, uncontrolled landfill: Acidification 0.7%UncontrolledlandfillLower-middle incomeLower-middle income, arid, open burning: Human toxicity 80%Lower-middle income, arid, open burning: Global warming 0.3%Lower-middle income, arid, open burning: Freshwater aquatic ecotoxicity 17%Lower-middle income, arid, open burning: Eutrophication 2.2%Lower-middle income, arid, open burning: Acidification 0.5%OpenburningLower-middle income, arid, open dump: Human toxicity 60%Lower-middle income, arid, open dump: Global warming 3%Lower-middle income, arid, open dump: Freshwater aquatic ecotoxicity 33%Lower-middle income, arid, open dump: Eutrophication 3.3%Lower-middle income, arid, open dump: Acidification 0.7%OpendumpLower-middle income, arid, uncontrolled landfill: Human toxicity 60%Lower-middle income, arid, uncontrolled landfill: Global warming 3%Lower-middle income, arid, uncontrolled landfill: Freshwater aquatic ecotoxicity 33%Lower-middle income, arid, uncontrolled landfill: Eutrophication 3.3%Lower-middle income, arid, uncontrolled landfill: Acidification 0.7%UncontrolledlandfillUpper-middle incomeUpper-middle income, arid, open burning: Human toxicity 76%Upper-middle income, arid, open burning: Global warming 0.5%Upper-middle income, arid, open burning: Freshwater aquatic ecotoxicity 21%Upper-middle income, arid, open burning: Eutrophication 2%Upper-middle income, arid, open burning: Acidification 0.5%OpenburningUpper-middle income, arid, open dump: Human toxicity 59%Upper-middle income, arid, open dump: Global warming 2.7%Upper-middle income, arid, open dump: Freshwater aquatic ecotoxicity 35.3%Upper-middle income, arid, open dump: Eutrophication 2.5%Upper-middle income, arid, open dump: Acidification 0.5%OpendumpUpper-middle income, arid, uncontrolled landfill: Human toxicity 59%Upper-middle income, arid, uncontrolled landfill: Global warming 2.7%Upper-middle income, arid, uncontrolled landfill: Freshwater aquatic ecotoxicity 35.3%Upper-middle income, arid, uncontrolled landfill: Eutrophication 2.5%Upper-middle income, arid, uncontrolled landfill: Acidification 0.5%UncontrolledlandfillHumid climate0%25%50%75%100%Low incomeLow income, humid, open burning: Human toxicity 75.5%Low income, humid, open burning: Global warming 0.5%Low income, humid, open burning: Freshwater aquatic ecotoxicity 21.5%Low income, humid, open burning: Eutrophication 2%Low income, humid, open burning: Acidification 0.5%OpenburningLow income, humid, open dump: Human toxicity 6.5%Low income, humid, open dump: Global warming 2%Low income, humid, open dump: Freshwater aquatic ecotoxicity 64%Low income, humid, open dump: Eutrophication 27.2%Low income, humid, open dump: Acidification 0.3%OpendumpLow income, humid, uncontrolled landfill: Human toxicity 6.5%Low income, humid, uncontrolled landfill: Global warming 2%Low income, humid, uncontrolled landfill: Freshwater aquatic ecotoxicity 64%Low income, humid, uncontrolled landfill: Eutrophication 27.2%Low income, humid, uncontrolled landfill: Acidification 0.3%UncontrolledlandfillLower-middle incomeLower-middle income, humid, open burning: Human toxicity 80%Lower-middle income, humid, open burning: Global warming 0.3%Lower-middle income, humid, open burning: Freshwater aquatic ecotoxicity 17%Lower-middle income, humid, open burning: Eutrophication 2.2%Lower-middle income, humid, open burning: Acidification 0.5%OpenburningLower-middle income, humid, open dump: Human toxicity 7.5%Lower-middle income, humid, open dump: Global warming 2.3%Lower-middle income, humid, open dump: Freshwater aquatic ecotoxicity 54.5%Lower-middle income, humid, open dump: Eutrophication 35.3%Lower-middle income, humid, open dump: Acidification 0.4%OpendumpLower-middle income, humid, uncontrolled landfill: Human toxicity 7.5%Lower-middle income, humid, uncontrolled landfill: Global warming 2.3%Lower-middle income, humid, uncontrolled landfill: Freshwater aquatic ecotoxicity 54.5%Lower-middle income, humid, uncontrolled landfill: Eutrophication 35.3%Lower-middle income, humid, uncontrolled landfill: Acidification 0.4%UncontrolledlandfillUpper-middle incomeUpper-middle income, humid, open burning: Human toxicity 76%Upper-middle income, humid, open burning: Global warming 0.5%Upper-middle income, humid, open burning: Freshwater aquatic ecotoxicity 21%Upper-middle income, humid, open burning: Eutrophication 2%Upper-middle income, humid, open burning: Acidification 0.5%OpenburningUpper-middle income, humid, open dump: Human toxicity 8.5%Upper-middle income, humid, open dump: Global warming 2.2%Upper-middle income, humid, open dump: Freshwater aquatic ecotoxicity 61%Upper-middle income, humid, open dump: Eutrophication 27.9%Upper-middle income, humid, open dump: Acidification 0.4%OpendumpUpper-middle income, humid, uncontrolled landfill: Human toxicity 8.5%Upper-middle income, humid, uncontrolled landfill: Global warming 2.2%Upper-middle income, humid, uncontrolled landfill: Freshwater aquatic ecotoxicity 61%Upper-middle income, humid, uncontrolled landfill: Eutrophication 27.9%Upper-middle income, humid, uncontrolled landfill: Acidification 0.4%Uncontrolledlandfill
그림 1. Share of weighted environmental impacts of MSW disposal by uncontrolled landfill, open dump and open burning, for three economies in arid and humid climates. Values redrawn from the original analysis.
Show the data for Figure 1Share of weighted impact (%), by case.
ClimateIncome groupMethodHTPGWPFAETPEPAP
AridLowOpen burning75.5%0.5%21.5%2%0.5%
AridLowOpen dump / uncontrolled landfill58%2%36.5%2.8%0.7%
AridLower-middleOpen burning80%0.3%17%2.2%0.5%
AridLower-middleOpen dump / uncontrolled landfill60%3%33%3.3%0.7%
AridUpper-middleOpen burning76%0.5%21%2%0.5%
AridUpper-middleOpen dump / uncontrolled landfill59%2.7%35.3%2.5%0.5%
HumidLowOpen burning75.5%0.5%21.5%2%0.5%
HumidLowOpen dump / uncontrolled landfill6.5%2%64%27.2%0.3%
HumidLower-middleOpen burning80%0.3%17%2.2%0.5%
HumidLower-middleOpen dump / uncontrolled landfill7.5%2.3%54.5%35.3%0.4%
HumidUpper-middleOpen burning76%0.5%21%2%0.5%
HumidUpper-middleOpen dump / uncontrolled landfill8.5%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.

Open burning, both climatesDump and landfill, humidDump and landfill, arid

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Per-tonne global warming and human toxicity potential by disposal method, climate and income groupGlobal warming, kg CO₂-eq per tonne (incl. biogenic)Human toxicity, kg 1,4-DB-eq per tonneOpen burning, both climatesLowOpen burning, both climates, Low: 196196Open burning, both climates, Low: 2,1302,130Lower-middleOpen burning, both climates, Lower-middle: 196196Open burning, both climates, Lower-middle: 2,0802,080Upper-middleOpen burning, both climates, Upper-middle: 196196Open burning, both climates, Upper-middle: 2,1702,170Dump and landfill, humidLowDump and landfill, humid, Low: 432432Dump and landfill, humid, Low: 129129Lower-middleDump and landfill, humid, Lower-middle: 471471Dump and landfill, humid, Lower-middle: 126126Upper-middleDump and landfill, humid, Upper-middle: 520520Dump and landfill, humid, Upper-middle: 170170Dump and landfill, aridLowDump and landfill, arid, Low: 432432Dump and landfill, arid, Low: 916916Lower-middleDump and landfill, arid, Lower-middle: 471471Dump and landfill, arid, Lower-middle: 762762Upper-middleDump and landfill, arid, Upper-middle: 520520Dump and landfill, arid, Upper-middle: 957957
Table 2 in chart form. Global warming and human toxicity potential per tonne of MSW, from Table 2. Dumps and uncontrolled landfills carry the larger climate burden; open burning carries by far the larger human toxicity burden.
Table 2. CML 2001 characterised impacts per tonne of MSW disposed of, by disposal method, climate and economy. Open-burning results do not vary with climate, and open dumps and uncontrolled landfills give identical results in this model, so those rows are combined.
Disposal methodClimateIncome groupAP (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 burningArid and humidLow0.4054.885731961882,130
Open burningArid and humidLower-middle0.4054.564191961892,080
Open burningArid and humidUpper-middle0.4054.205721961882,170
Open dump and uncontrolled landfillHumidLow0.43734.21,150432333129
Open dump and uncontrolled landfillHumidLower-middle0.41138.4832471363126
Open dump and uncontrolled landfillHumidUpper-middle0.37837.21,150520399170
Open dump and uncontrolled landfillAridLow0.8182.98557432333916
Open dump and uncontrolled landfillAridLower-middle0.8402.79403471363762
Open dump and uncontrolled landfillAridUpper-middle0.7632.56556520399957

Heavy-metal emissions

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.

ChromiumNickelManganeseCobaltTinTitaniumCadmiumArsenicAntimonyChromium (VI)MercurySelenium, vanadium, silver

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Figure 2. Heavy-metal emission mix by case, excluding lead and zinc0%25%50%75%100%UMIC, humid, b: Chromium 68.5%UMIC, humid, b: Nickel 14.6%UMIC, humid, b: Manganese 1.3%UMIC, humid, b: Cobalt 0.8%UMIC, humid, b: Tin 5%UMIC, humid, b: Titanium 4.7%UMIC, humid, b: Cadmium 1.3%UMIC, humid, b: Arsenic 0.3%UMIC, humid, b: Antimony 2.4%UMIC, humid, b: Chromium (VI) 0.2%UMIC, humid, b: Mercury 0.2%UMIC, humid, b: Selenium, vanadium, silver 0.7%UMIChumidbUMIC, humid, o: Chromium 0.2%UMIC, humid, o: Nickel 2.8%UMIC, humid, o: Manganese 45.8%UMIC, humid, o: Cobalt 27.8%UMIC, humid, o: Titanium 1.2%UMIC, humid, o: Arsenic 6.3%UMIC, humid, o: Antimony 4.7%UMIC, humid, o: Chromium (VI) 7%UMIC, humid, o: Mercury 3.2%UMIC, humid, o: Selenium, vanadium, silver 1%UMIChumidoUMIC, humid, u: Chromium 0.2%UMIC, humid, u: Nickel 2.8%UMIC, humid, u: Manganese 45.8%UMIC, humid, u: Cobalt 27.8%UMIC, humid, u: Titanium 1.2%UMIC, humid, u: Arsenic 6.3%UMIC, humid, u: Antimony 4.7%UMIC, humid, u: Chromium (VI) 7%UMIC, humid, u: Mercury 3.2%UMIC, humid, u: Selenium, vanadium, silver 1%UMIChumiduUMIC, arid, b: Chromium 68.5%UMIC, arid, b: Nickel 14.6%UMIC, arid, b: Manganese 1.3%UMIC, arid, b: Cobalt 0.8%UMIC, arid, b: Tin 5%UMIC, arid, b: Titanium 4.7%UMIC, arid, b: Cadmium 1.3%UMIC, arid, b: Arsenic 0.3%UMIC, arid, b: Antimony 2.4%UMIC, arid, b: Chromium (VI) 0.2%UMIC, arid, b: Mercury 0.2%UMIC, arid, b: Selenium, vanadium, silver 0.7%UMICaridbUMIC, arid, o: Chromium 0.8%UMIC, arid, o: Nickel 50.2%UMIC, arid, o: Manganese 5.2%UMIC, arid, o: Cobalt 3%UMIC, arid, o: Tin 16.2%UMIC, arid, o: Titanium 17.6%UMIC, arid, o: Cadmium 4.6%UMIC, arid, o: Arsenic 0.8%UMIC, arid, o: Antimony 0.6%UMIC, arid, o: Chromium (VI) 0.2%UMIC, arid, o: Mercury 0.3%UMIC, arid, o: Selenium, vanadium, silver 0.5%UMICaridoUMIC, arid, u: Chromium 0.8%UMIC, arid, u: Nickel 50.2%UMIC, arid, u: Manganese 5.2%UMIC, arid, u: Cobalt 3%UMIC, arid, u: Tin 16.2%UMIC, arid, u: Titanium 17.6%UMIC, arid, u: Cadmium 4.6%UMIC, arid, u: Arsenic 0.8%UMIC, arid, u: Antimony 0.6%UMIC, arid, u: Chromium (VI) 0.2%UMIC, arid, u: Mercury 0.3%UMIC, arid, u: Selenium, vanadium, silver 0.5%UMICariduLMIC, arid, b: Chromium 66.5%LMIC, arid, b: Nickel 15%LMIC, arid, b: Manganese 1.7%LMIC, arid, b: Cobalt 1.4%LMIC, arid, b: Tin 5.2%LMIC, arid, b: Titanium 4.1%LMIC, arid, b: Cadmium 1.8%LMIC, arid, b: Arsenic 0.4%LMIC, arid, b: Antimony 2.8%LMIC, arid, b: Chromium (VI) 0.1%LMIC, arid, b: Mercury 0.2%LMIC, arid, b: Selenium, vanadium, silver 0.8%LMICaridbLMIC, arid, o: Chromium 0.8%LMIC, arid, o: Nickel 48.9%LMIC, arid, o: Manganese 5%LMIC, arid, o: Cobalt 5%LMIC, arid, o: Tin 15.9%LMIC, arid, o: Titanium 15.3%LMIC, arid, o: Cadmium 6.3%LMIC, arid, o: Arsenic 0.9%LMIC, arid, o: Antimony 0.8%LMIC, arid, o: Chromium (VI) 0.2%LMIC, arid, o: Mercury 0.3%LMIC, arid, o: Selenium, vanadium, silver 0.6%LMICaridoLMIC, arid, u: Chromium 0.8%LMIC, arid, u: Nickel 48.9%LMIC, arid, u: Manganese 5%LMIC, arid, u: Cobalt 5%LMIC, arid, u: Tin 15.9%LMIC, arid, u: Titanium 15.3%LMIC, arid, u: Cadmium 6.3%LMIC, arid, u: Arsenic 0.9%LMIC, arid, u: Antimony 0.8%LMIC, arid, u: Chromium (VI) 0.2%LMIC, arid, u: Mercury 0.3%LMIC, arid, u: Selenium, vanadium, silver 0.6%LMICariduLMIC, humid, b: Chromium 66.5%LMIC, humid, b: Nickel 15%LMIC, humid, b: Manganese 1.7%LMIC, humid, b: Cobalt 1.4%LMIC, humid, b: Tin 5.2%LMIC, humid, b: Titanium 4.1%LMIC, humid, b: Cadmium 1.8%LMIC, humid, b: Arsenic 0.4%LMIC, humid, b: Antimony 2.8%LMIC, humid, b: Chromium (VI) 0.1%LMIC, humid, b: Mercury 0.2%LMIC, humid, b: Selenium, vanadium, silver 0.8%LMIChumidbLMIC, humid, o: Chromium 0.3%LMIC, humid, o: Nickel 1.8%LMIC, humid, o: Manganese 40%LMIC, humid, o: Cobalt 36%LMIC, humid, o: Titanium 1.1%LMIC, humid, o: Arsenic 7.1%LMIC, humid, o: Antimony 4%LMIC, humid, o: Chromium (VI) 5.6%LMIC, humid, o: Mercury 3%LMIC, humid, o: Selenium, vanadium, silver 1.1%LMIChumidoLMIC, humid, u: Chromium 0.3%LMIC, humid, u: Nickel 1.8%LMIC, humid, u: Manganese 40%LMIC, humid, u: Cobalt 36%LMIC, humid, u: Titanium 1.1%LMIC, humid, u: Arsenic 7.1%LMIC, humid, u: Antimony 4%LMIC, humid, u: Chromium (VI) 5.6%LMIC, humid, u: Mercury 3%LMIC, humid, u: Selenium, vanadium, silver 1.1%LMIChumiduLIC, arid, o: Chromium 0.9%LIC, arid, o: Nickel 58.3%LIC, arid, o: Manganese 3.4%LIC, arid, o: Cobalt 4.3%LIC, arid, o: Tin 19.3%LIC, arid, o: Titanium 7.2%LIC, arid, o: Cadmium 4.1%LIC, arid, o: Arsenic 0.8%LIC, arid, o: Antimony 0.7%LIC, arid, o: Chromium (VI) 0.2%LIC, arid, o: Mercury 0.3%LIC, arid, o: Selenium, vanadium, silver 0.5%LICaridoLIC, arid, u: Chromium 0.9%LIC, arid, u: Nickel 58.3%LIC, arid, u: Manganese 3.4%LIC, arid, u: Cobalt 4.3%LIC, arid, u: Tin 19.3%LIC, arid, u: Titanium 7.2%LIC, arid, u: Cadmium 4.1%LIC, arid, u: Arsenic 0.8%LIC, arid, u: Antimony 0.7%LIC, arid, u: Chromium (VI) 0.2%LIC, arid, u: Mercury 0.3%LIC, arid, u: Selenium, vanadium, silver 0.5%LICariduLIC, humid, b: Chromium 71%LIC, humid, b: Nickel 15.6%LIC, humid, b: Manganese 1%LIC, humid, b: Cobalt 1%LIC, humid, b: Tin 5.4%LIC, humid, b: Titanium 1.5%LIC, humid, b: Cadmium 1%LIC, humid, b: Arsenic 0.2%LIC, humid, b: Antimony 2.5%LIC, humid, b: Chromium (VI) 0.1%LIC, humid, b: Mercury 0.2%LIC, humid, b: Selenium, vanadium, silver 0.5%LIChumidbLIC, arid, b: Chromium 71%LIC, arid, b: Nickel 15.6%LIC, arid, b: Manganese 1%LIC, arid, b: Cobalt 1%LIC, arid, b: Tin 5.4%LIC, arid, b: Titanium 1.5%LIC, arid, b: Cadmium 1%LIC, arid, b: Arsenic 0.2%LIC, arid, b: Antimony 2.5%LIC, arid, b: Chromium (VI) 0.1%LIC, arid, b: Mercury 0.2%LIC, arid, b: Selenium, vanadium, silver 0.5%LICaridbLIC, humid, o: Chromium 0.3%LIC, humid, o: Nickel 3%LIC, humid, o: Manganese 30%LIC, humid, o: Cobalt 41%LIC, humid, o: Titanium 0.8%LIC, humid, o: Arsenic 7.4%LIC, humid, o: Antimony 5.3%LIC, humid, o: Chromium (VI) 8.2%LIC, humid, o: Mercury 3%LIC, humid, o: Selenium, vanadium, silver 1%LIChumidoLIC, humid, u: Chromium 0.3%LIC, humid, u: Nickel 3%LIC, humid, u: Manganese 30%LIC, humid, u: Cobalt 41%LIC, humid, u: Titanium 0.8%LIC, humid, u: Arsenic 7.4%LIC, humid, u: Antimony 5.3%LIC, humid, u: Chromium (VI) 8.2%LIC, humid, u: Mercury 3%LIC, humid, u: Selenium, vanadium, silver 1%LIChumidu
그림 2. Heavy-metal emissions by case, as a share of total metal emissions, excluding lead and zinc. LIC, LMIC and UMIC are low-, lower-middle- and upper-middle-income countries; b is open burning, o is open dump, u is uncontrolled landfill. Values redrawn from the original analysis.

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.

WaterSoilAir

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Figure 3. Share of heavy-metal emissions to water, soil and air by case0%25%50%75%100%UMIC, humid, uUMIC, humid, u: Water 99.9%UMIC, humid, u: Air 0.1%UMIC, humid, oUMIC, humid, o: Water 99.9%UMIC, humid, o: Air 0.1%UMIC, humid, bUMIC, humid, b: Soil 99.9%UMIC, humid, b: Air 0.1%UMIC, arid, uUMIC, arid, u: Water 1.6%UMIC, arid, u: Soil 90.1%UMIC, arid, u: Air 8.3%UMIC, arid, oUMIC, arid, o: Water 1.6%UMIC, arid, o: Soil 90.1%UMIC, arid, o: Air 8.3%UMIC, arid, bUMIC, arid, b: Soil 99.9%UMIC, arid, b: Air 0.1%LMIC, humid, uLMIC, humid, u: Water 99.9%LMIC, humid, u: Air 0.1%LMIC, humid, oLMIC, humid, o: Water 99.9%LMIC, humid, o: Air 0.1%LMIC, humid, bLMIC, humid, b: Soil 99.9%LMIC, humid, b: Air 0.1%LMIC, arid, uLMIC, arid, u: Water 1.3%LMIC, arid, u: Soil 90.2%LMIC, arid, u: Air 8.5%LMIC, arid, oLMIC, arid, o: Water 1.3%LMIC, arid, o: Soil 90.2%LMIC, arid, o: Air 8.5%LMIC, arid, bLMIC, arid, b: Soil 99.9%LMIC, arid, b: Air 0.1%LIC, humid, uLIC, humid, u: Water 99.9%LIC, humid, u: Air 0.1%LIC, humid, oLIC, humid, o: Water 99.9%LIC, humid, o: Air 0.1%LIC, arid, bLIC, arid, b: Soil 99.9%LIC, arid, b: Air 0.1%LIC, humid, bLIC, humid, b: Soil 99.9%LIC, humid, b: Air 0.1%LIC, arid, uLIC, arid, u: Water 1.4%LIC, arid, u: Soil 90.4%LIC, arid, u: Air 8.2%LIC, arid, oLIC, arid, o: Water 1.4%LIC, arid, o: Soil 90.4%LIC, arid, o: Air 8.2%
그림 3. Share of heavy-metal emissions to water, soil and air by case. Abbreviations as in Figure 2. Values redrawn from the original analysis.

Impacts by economy and climate

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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Figure 4. Aggregated and weighted impacts by income group and climateLIC aridLIC humidLMIC aridLMIC humidUMIC aridUMIC humid산성화21.02%13.11%21.42%12.63%19.89%11.94%Eutrophication4.11%27.86%3.86%30.83%3.55%29.79%Freshwater aquatic ecotoxicity13.56%23.11%9.87%16.80%13.56%23.11%Global warming15.42%15.41%16.57%16.57%18.02%18.02%Human toxicity20.98%12.65%19.10%12.35%21.62%13.30%
그림 4. Aggregated and weighted environmental impacts by economy and climate. Each value is the share of that economy-climate case within the impact category, so each row sums to 100%. Darker cells mark larger shares.
Show the data for Figure 4Aggregated and weighted impacts (%).
Impact categoryLIC aridLIC humidLMIC aridLMIC humidUMIC aridUMIC humid
산성화21.02%13.11%21.42%12.63%19.89%11.94%
Eutrophication4.11%27.86%3.86%30.83%3.55%29.79%
Freshwater aquatic ecotoxicity13.56%23.11%9.87%16.80%13.56%23.11%
Global warming15.42%15.41%16.57%16.57%18.02%18.02%
Human toxicity20.98%12.65%19.10%12.35%21.62%13.30%

Impacts by waste type

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.

Arid climateHumid climate

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Figure 5. Split of each impact category between arid and humid climates, by waste type0%25%50%75%100%Organic, AP: arid 60%Organic, AP: humid 40%APOrganic, EP: arid 9%Organic, EP: humid 91%EPOrganic, FAETP: arid 33%Organic, FAETP: humid 67%FAETPOrganic, GWP: arid 50%Organic, GWP: humid 50%GWPOrganic, HTP: arid 78%Organic, HTP: humid 22%HTPOrganicPaper, AP: arid 47.5%Paper, AP: humid 52.5%APPaper, EP: arid 3%Paper, EP: humid 97%EPPaper, FAETP: arid 32.5%Paper, FAETP: humid 67.5%FAETPPaper, GWP: arid 50%Paper, GWP: humid 50%GWPPaper, HTP: arid 53.5%Paper, HTP: humid 46.5%HTPPaperPlastic, AP: arid 91.5%Plastic, AP: humid 8.5%APPlastic, EP: arid 1%Plastic, EP: humid 99%EPPlastic, FAETP: arid 33%Plastic, FAETP: humid 67%FAETPPlastic, GWP: arid 50%Plastic, GWP: humid 50%GWPPlastic, HTP: arid 98.5%Plastic, HTP: humid 1.5%HTPPlasticGlass, AP: arid 100%AP–EPGlass, FAETP: arid 33%Glass, FAETP: humid 67%FAETP–GWPGlass, HTP: arid 99.5%Glass, HTP: humid 0.5%HTPGlass–AP–EPMetals, FAETP: arid 32.5%Metals, FAETP: humid 67.5%FAETP–GWPMetals, HTP: arid 90%Metals, HTP: humid 10%HTPMetalsOther waste, AP: arid 61.5%Other waste, AP: humid 38.5%APOther waste, EP: arid 12%Other waste, EP: humid 88%EPOther waste, FAETP: arid 33%Other waste, FAETP: humid 67%FAETPOther waste, GWP: arid 50%Other waste, GWP: humid 50%GWPOther waste, HTP: arid 97.5%Other waste, HTP: humid 2.5%HTPOther waste
그림 5. Split of each impact category between arid and humid climates for 1 tonne of each waste type disposed of in open dumps and uncontrolled landfills (both methods give identical results). A dash marks a category with no contribution from that fraction. Values redrawn from the original analysis.
Show the data for Figure 5Share of each impact category, arid / humid.
Waste typeAPEPFAETPGWPHTP
Organic60% / 40%9% / 91%33% / 67%50% / 50%78% / 22%
Paper47.5% / 52.5%3% / 97%32.5% / 67.5%50% / 50%53.5% / 46.5%
Plastic91.5% / 8.5%1% / 99%33% / 67%50% / 50%98.5% / 1.5%
Glass100% / 0%–33% / 67%–99.5% / 0.5%
Metals––32.5% / 67.5%–90% / 10%
Other waste61.5% / 38.5%12% / 88%33% / 67%50% / 50%97.5% / 2.5%
Uncertainty

Sensitivity and Monte Carlo analysis

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.
CaseOrganicPaperPlasticGlassMetalsOther waste
1 − SD−2.7%−0.7%−1.7%−29.3%−13.2%−2.4%
1 + SD2.7%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 + SD1.2%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 + SD9.0%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 + SD33.0%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 + SD14.3%1.3%1.7%0.0%0.0%32.7%

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Sensitivity analysis: change in result for plus or minus one standard deviation, by waste fraction and caseCase 1Case 2Case 3Case 4Case 5Organic±2.7%±1.2%±9%±33%±14.3%Paper±0.7%±0.5%±0.5%±9.2%±1.3%Plastic±1.7%±0.9%±7.4%±1.1%±1.7%Glass±29.3%±7.3%±13%0%0%Metals±13.2%±35.9%0%0%0%Other waste±2.4%±4.4%±20.1%±6.8%±32.7%
Table 3 in chart form. Size of the change in result for ±1 standard deviation in each waste fraction, by case. Darker cells mark larger changes.

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 resultHTPFAETPAPGWPEP
−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%
HTPFAETPAPGWPEP

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Monte Carlo analysis: share of 1,000 runs by change in result, per impact category0%10%20%30%−9.5%−5.5%−1.5%+1.5%+5.5%+9.5%Change in resultHTPFAETPAPGWPEP
Table 4 in chart form. Share of 1,000 Monte Carlo runs in each change band, by impact category. The sharp FAETP and HTP peaks around zero show how tightly those results cluster.
결론

Conclusion and implications

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.

What this study adds

  • One consistent comparison — three income groups, two climates, three disposal methods and six waste fractions are assessed per tonne with the same models and impact method, instead of one city or one country at a time.
  • Climate outweighs income — for dumps and uncontrolled landfills, moving from an arid to a humid climate changes which impact dominates, while moving between income groups changes impact shares by only a few percentage points.
  • The mechanism behind the climate effect — heavy-metal emissions are traced to their receiving medium: water in humid climates, soil and air in arid ones.
  • Fraction-level priorities — metals, plastic and organic waste are identified as the fractions that carry most of the impact, which points to where separation pays off first.

Three practical priorities follow from the results:

  • End open burning first — its human toxicity burden is the highest in absolute terms and does not ease with income level or climate.
  • Match site controls to climate — in humid regions, leachate containment protects water; in arid regions, cover and soil protection limit metal exposure.
  • Keep metals and e-waste out of mixed waste — the metals fraction drives human toxicity and ecotoxicity and is among the most influential inputs in the sensitivity analysis.
Limitations
  • Collection, transport, informal recycling and site energy are outside the system boundary.
  • Open dumps and uncontrolled landfills share the same inventory model and parameters here, so they give identical results.
  • Waste composition data date from 2012; Figures 1 to 5 show weighted shares, while Table 2 gives absolute characterised results.
Questions

자주 묻는 질문

Which waste disposal method has the highest human toxicity impact in developing countries?

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.

How does climate change the environmental impact of 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%.

What is the 탄소발자국 of open dumping one tonne of municipal solid waste?

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.

Which waste fractions cause the most environmental impact when dumped?

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.

Can DEISO run a 전과정평가(LCA) of a waste management system?

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.

Citation

How to cite this study

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.

APA 7

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

Harvard

Ikhlayel, M. (2026) Environmental impacts of open dumping, uncontrolled landfilling and open burning of municipal solid waste in developing countries: a 전과정평가(LCA) by income level and climate zone. Tokyo: DEISO Research. Available at: https://doi.org/10.13140/RG.2.2.28789.95206

BibTeX
@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}
}
다음 단계

Need this analysis for your own waste system?

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References

References

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  18. Wiedinmyer, C., Yokelson, R. J., & Gullett, B. K. (2014). Global emissions of trace gases, particulate matter, and hazardous air pollutants from open burning of domestic waste. Environmental Science & Technology, 48(16), 9523–9530. https://doi.org/10.1021/es502250z
  19. Wilson, D. C., Rodic, L., Modak, P., Soos, R., Carpintero, A., Velis, C. A., Iyer, M., & Simonett, O. (2015). Global waste management outlook. United Nations Environment Programme and International Solid Waste Association.
  20. World Bank. (2016). New country classifications. Income level based on gross national income (GNI) per capita; accessed 3 June 2016. http://data.worldbank.org/news/new-country-classifications-2015
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