IEHIA of waste management in Lazio (Italy): Difference between revisions
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==Methods== | ==Methods== | ||
The population under evaluation were residents in Lazio, and, in particular, people | The population under evaluation were residents in Lazio, and, in particular, people living in Rome potentially exposed to exhaust fumes from waste collection and transport. We also considered the population living close to Mechanical and Biological Treatment (MBT) plants (200 meters), landfills (2 km) and incinerators (3 km) as well as workers in the waste industry for the risk of occupational accidents. Pollutants from transport, emissions from incineration, and combustion of landfills biogas were evaluated. Concentrations of specific pollutants (PM10 | ||
living in Rome potentially exposed to exhaust fumes from waste collection and transport. We | and NO2) were modeled using ad hoc GIS models and the ADMS-Urban model. Population weighted exposure levels were calculated. Concentration-response functions were derived from systematic reviews of the literature. Cases of specific diseases and disorders attributable to waste management (incidence of cancer, newborns of low-birth weight, congenital anomalies, and prevalence of respiratory disorders and odour annoyance), Years of Life Lost (YLL), and Disability Adjusted Life Years (DALYs) were estimated for the 35-year period from 2016 to | ||
also considered the population living close to Mechanical and Biological Treatment (MBT) plants | |||
(200 meters), landfills (2 km) and incinerators (3 km) as well as workers in the waste industry | |||
for the risk of occupational accidents. Pollutants from transport, emissions from incineration, | |||
and combustion of landfills biogas were evaluated. Concentrations of specific pollutants (PM10 | |||
and NO2) were modeled using ad hoc GIS models and the ADMS-Urban model. Population weighted | |||
exposure levels were calculated. Concentration-response functions were derived from | |||
systematic reviews of the literature. Cases of specific diseases and disorders attributable to | |||
waste management (incidence of cancer, newborns of low-birth weight, congenital anomalies, | |||
and prevalence of respiratory disorders and odour annoyance), Years of Life Lost (YLL), and | |||
Disability Adjusted Life Years (DALYs) were estimated for the 35-year period from 2016 to | |||
2050. | 2050. | ||
''' Types of Assesment''' | |||
{|{{prettytable}} | |||
| Description | |||
| Management of municipal solid waste (MSW) can be a significant source of environmental contamination and thus of human exposure to pollutants, especially for those living in close proximity to management plants (i.e. incinerators and landfills). Exposures may also occur more widely as a result of collection and transportation of waste using heavy duty diesel vehicles. The health impact of some exposures has been evaluated in epidemiological studies with controversial results (Porta et al, 2009). In addition, workers may suffer from occupational injuries during the collection and transportation phases, the general population may be annoyed from odours and concerns about health effects may cause environmental worry. Several additional aspects complicate the issue, including compliance with new EU legislation (aimed at waste reduction, reuse, recycling, and landfills closure), conflicting interests of the stakeholders and communities concerns. In the European Union, we can expect substantial changes in the coming years, as government policies need to change and industry and communities will most certainly face new economic circumstances and environmental conditions. Future changes in waste management may therefore have significant implications for human exposure and health, and may raise public anxiety. The key question remain, namely what are the environmental and health impacts for the general population of changes in waste management systems in the European Union over the foreseeable future. | |||
The overall aim of this case study was to assess potential exposures and health | |||
effects arising from MSW throughout their lifecycle, from collection to disposal or | The overall aim of this case study was to assess potential exposures and health effects arising from MSW throughout their lifecycle, from collection to disposal or treatment under different scenarios. Following the methods and the lessons learned in the diagnostic assessment for the year 2001 performed in the three countries(Italy, England and Slovakia) INTARESE study (Forastiere et al, 2009), we have | ||
treatment under different scenarios. Following the methods and the lessons learned | conducted a prognostic assessment in the Lazio region of Italy (about five million inhabitants including the city of Rome). In our assessment model, we evaluated the environmental and health impact of different policies for MSW, considering a baseline scenario for the year 2008 and two alternative scenarios for 2016. In our assessment we evaluate MSW collection and transport, mechanical and biological treatment(MBT) and incineration plants and landfills. In this integrated assessment, different exposures and health effects were under considerations including pollutants from transport, emissions from incineration and combustion of landfills biogas, and occupational injuries. | ||
in the diagnostic assessment for the year 2001 performed in the three countries | |----- | ||
(Italy, England and Slovakia) INTARESE study (Forastiere et al, 2009), we have | | Type of assessment | ||
conducted a prognostic assessment in the Lazio region of Italy (about five million | | A prognostic assessment was carried out by comparing two future waste management scenarios based on appropriate sustainable measure to the baseline situation representing the business as usual situation. The alternative scenarios were based on the assumption that prescriptive norms will change the situation with regards to waste production, collection, transportation, treatment and disposal. | ||
inhabitants including the city of Rome). In our assessment model, we evaluated the | |||
environmental and health impact of different policies for MSW, considering a baseline | The assessment considered the downstream impacts of these norms and conditions on exposure and health, but did not consider how the conditions would be achieved (e.g. what technological or socio-economic changes would be necessary and their costs), nor the implications of these changes. We focused only on the direct effects of policy actions, but in evaluating the consequence of these actions we developed predictive scenarios with relatively detailed indications of how the system will change under a set of assumptions, in particular environmental conditions, human exposures, health effects. | ||
scenario for the year 2008 and two alternative scenarios for 2016. In our assessment | |||
we evaluate MSW collection and transport, mechanical and biological treatment | In Lazio, the baseline scenario (“business as usual”) is the situation in 2008, whereas in the first alternative scenario (Lazio Wastes trategy) management of waste is changed because of increase in recycling/composting rate, different waste flows, new management plants and no landfilling without pre-treatment. In the second alternative scenario (Green policy), an additional drastic reduction in the total amount of waste is foreseen together with a very high recycling rate. | ||
(MBT) and incineration plants and landfills. In this integrated assessment, different | |||
exposures and health effects were under considerations including pollutants from | |----- | ||
transport, emissions from incineration and combustion of landfills biogas, and | | Scenario(s) | ||
occupational injuries. | | The assessment assumes that in Lazio the 2008 baseline situation remains the same in 2016 with identical amount of waste produced with no waste prevention program in operation. Waste collection is performed with highly polluting diesel trucks (Euro 2) using street bins with very low recycling and composting rates. A total of 7 MBTs are operating and 2 incinerators burn refuse-derived fuel (RDF) produced in MBTs; a total of 9 landfills are operating where waste disposal occurs mostly without pretreatment. | ||
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Revision as of 13:35, 11 September 2011
----#: . General comments:
- You should always properly cite the original source: authors, name of article, publisher, website, and a link to the original material.
- You should use the page type templates. In this case, the page is an {{assessment}}.
- First, you can copy-paste and save the text as it was in the source. Then, open the page again start editing and adding formatting. This way, it is easier to see what was changed compared with the original text.
- If possible and practical, use the headings used in Opasnet. Also reorder the text so that it matches the Opasnet structure. --Jouni 15:52, 8 September 2011 (EEST) (type: truth; paradigms: science: comment)
----#: . Specific comments about the waste management case:
- You should take the material until page 41 (Annex 1 included).
- Although I said that don't include tables, I did not mean the one huge table on pages 6-36. That contains the actual substance of the assessment.
- Take also the following tables that contain key inputs or results: Table 1, Table 3, Table 8, Table 10, Table 11.
- The causal diagram on page 37 is the only essential figure, take that into Opasnet. --Jouni 15:52, 8 September 2011 (EEST) (type: truth; paradigms: science: comment)
The potential environmental and health effects of waste management of municipal solid waste (MSW) are poorly understood, especially when the different aspects of the full chain process (waste production, collection, transport, recycling, treatment, disposal) are taken into consideration. A prognostic assessment was carried out in Lazio (a region in Central Italy with about 5.5 million inhabitants including Rome) by comparing two future waste management scenarios based on appropriate sustainable measures to the baseline situation representing the business as usual situation. We evaluated the 2008 baseline scenario (BS) and two alternative 2016 scenarios, Waste Strategy (WS) and Green Policy (GP). In the first alternative scenario (WS), waste management was modified because of an increase in recycling/composting, different waste flows, cleaner transportation, new management plants and no landfilling without pretreatment. In the second alternative scenario (GP), an additional drastic reduction in the total amount of waste was foreseen together with a very high recycling rate.
Result
Waste management and emissions At the baseline the total volume of waste produced was 3.330 mTonnes, of which 0.593 was recycled/composed, 1.902 was landfilled without pretreatment, and 0.835 was managed with Mechanical and Biological Treatment (with production of Refuse Derived Fuels (RDFs) for incineration). Under the Waste strategy, the recycling/composting rate will be increased up to 60% and no landfill will be in use without pre-treatment. Under the Green policy, the amount of waste production will decrease to 15% and recycling/composting rate will increase to 70%. A considerable decrease (up to 90%) will be seen for most of the emitted pollutants (for instance particulate matter (PM) emissions will go from 17.9 to 6.6 and 4.13 tonnes/year for the three scenarios, respectively)
Population A total of 36,191 people were living nearby MSW facilities at baseline (23,917 close
to the two incinerators, 2,345 close to MBTs, and 9,929 close to landfills). With the Waste
strategy, the number of people living close to plants will increase to 51,639 subjects, mainly
due to the introduction of new incinerators (from 23,917 to 39,284 subjects). On the other
hand, the Green policy will decrease to 14,606 the population involved with an important
reduction of people residents close to incinerators and landfills. Important differences by
socioeconomic status were present at baseline, with people of lower socioeconomic status
being relatively more exposed to waste management than more affluent people. In addition to
the general population, waste workers were estimated: about 10,000 for the baseline and the
Waste strategy whereas the number will decrease to about 8,300 workers under the Green
Strategy.
Pollution from transport and management plants. At baseline, a total of 18,916 journeys of
trucks per year were necessary in Rome for the transfer of waste from the resident areas to the
management facilities. Under the baseline scenario, about 10 millions Kilometers per year were
travelled. In the Waste strategy, the number of journeys and the kilometers traveled are reduced of 37.2% and 38.2%, respectively. The reduction was even more radical in the Green
policy scenario, with a reduction of 65.3% in journeys and 64.5% in kilometers travelled. The
contribution of waste transport to the average annual concentration of NO2 in Rome was 0.0199
Cg/m3 at baseline, 0.00198 Cg/m3 with waste strategy and 0.00118 Cg/m3 with the green policy
with an important reduction of the population weighted exposure (-90%, -95 %, respectively).
Estimated annual average concentrations of air pollutants emitted from the plants in the
vicinity of landfills and incineration plants were rather small. The population weighted NO2
(and PM10) exposure levels were also relatively low, ranging from 0.05 to 0.7 Cg/m3for landfills
and 0.03 to 0.06 Cg/m3 for incinerators.
Attributable cases An annual frequency of 243 occupational injuries in the waste sector was
estimated, with 0.8 fatalities each year; the absolute number of accidents will decrease in the
Green Policy because of the reduction of the manpower. The impact of transport of waste on
the population of Rome could be estimated in 561 (related to NO2 exposure) and 14 (related to
PM exposure) Years of Life Lost (YLL) at baseline; the impact as YLLs decreases to 50 and 1
(Waste strategy) and to 29 and 0 (Green policy), respectively. For MBTs, the prevalence of
subjects with severe odours annoyance (about 130 subjects) and the prevalence of people with
respiratory symptoms attributable to the plants (about 500 subjects) was constant in all the
scenarios. For incinerators, the cumulative incidence of attributable cancer cases over the 35
year period was 7.5, 11.7and 2.5 in the three scenarios, respectively. A total of 10 YLL (NO2)
attributable to incinerators were estimated at baseline. The number increased to 15.9 YLL with
the waste strategy and decreased to 9.6 with the green policy. The YLL attributable to PM
were very small. For landfills, low birth weight cumulative incidence was 8.3 newborns
(baseline and waste strategy) and 2.8 in the green policy. The cumulative incidence of
congenital anomalies was of 0.3 subject (baseline and waste strategy) and 0.1 for the green
policy. The health impact of landfills as YLL was 17.9 (NO2) estimated at baseline and with
waste strategy and a decrease to 12.4 with the green policy. The prevalence of severe odours
annoyance and respiratory symptoms assessed for residents at 200 meters from the landfills,
were the same (54 and 424, respectively) at the baseline and with the waste strategy while a
decrease to 19 and 147 were predicted with the green policy.
DALYS The most important health impact of waste management was occupational accidents,
responsible of about 40,000 DALYs for the baseline and the Waste strategy while the impact
decreases to 33,000 DALYs with the Green policy. For the general population, a total of about
3000, 2500, and 1600 DALYs were estimated under the different scenarios, respectively. The
largest contribution to DALYs for the general population was from respiratory symptoms (about
90%) and odour annoyance; the contribution from the other health disorders was small.
Methods
The population under evaluation were residents in Lazio, and, in particular, people living in Rome potentially exposed to exhaust fumes from waste collection and transport. We also considered the population living close to Mechanical and Biological Treatment (MBT) plants (200 meters), landfills (2 km) and incinerators (3 km) as well as workers in the waste industry for the risk of occupational accidents. Pollutants from transport, emissions from incineration, and combustion of landfills biogas were evaluated. Concentrations of specific pollutants (PM10 and NO2) were modeled using ad hoc GIS models and the ADMS-Urban model. Population weighted exposure levels were calculated. Concentration-response functions were derived from systematic reviews of the literature. Cases of specific diseases and disorders attributable to waste management (incidence of cancer, newborns of low-birth weight, congenital anomalies, and prevalence of respiratory disorders and odour annoyance), Years of Life Lost (YLL), and Disability Adjusted Life Years (DALYs) were estimated for the 35-year period from 2016 to 2050.
Types of Assesment
Description | Management of municipal solid waste (MSW) can be a significant source of environmental contamination and thus of human exposure to pollutants, especially for those living in close proximity to management plants (i.e. incinerators and landfills). Exposures may also occur more widely as a result of collection and transportation of waste using heavy duty diesel vehicles. The health impact of some exposures has been evaluated in epidemiological studies with controversial results (Porta et al, 2009). In addition, workers may suffer from occupational injuries during the collection and transportation phases, the general population may be annoyed from odours and concerns about health effects may cause environmental worry. Several additional aspects complicate the issue, including compliance with new EU legislation (aimed at waste reduction, reuse, recycling, and landfills closure), conflicting interests of the stakeholders and communities concerns. In the European Union, we can expect substantial changes in the coming years, as government policies need to change and industry and communities will most certainly face new economic circumstances and environmental conditions. Future changes in waste management may therefore have significant implications for human exposure and health, and may raise public anxiety. The key question remain, namely what are the environmental and health impacts for the general population of changes in waste management systems in the European Union over the foreseeable future.
|
Type of assessment | A prognostic assessment was carried out by comparing two future waste management scenarios based on appropriate sustainable measure to the baseline situation representing the business as usual situation. The alternative scenarios were based on the assumption that prescriptive norms will change the situation with regards to waste production, collection, transportation, treatment and disposal.
The assessment considered the downstream impacts of these norms and conditions on exposure and health, but did not consider how the conditions would be achieved (e.g. what technological or socio-economic changes would be necessary and their costs), nor the implications of these changes. We focused only on the direct effects of policy actions, but in evaluating the consequence of these actions we developed predictive scenarios with relatively detailed indications of how the system will change under a set of assumptions, in particular environmental conditions, human exposures, health effects. In Lazio, the baseline scenario (“business as usual”) is the situation in 2008, whereas in the first alternative scenario (Lazio Wastes trategy) management of waste is changed because of increase in recycling/composting rate, different waste flows, new management plants and no landfilling without pre-treatment. In the second alternative scenario (Green policy), an additional drastic reduction in the total amount of waste is foreseen together with a very high recycling rate. |
Scenario(s) | The assessment assumes that in Lazio the 2008 baseline situation remains the same in 2016 with identical amount of waste produced with no waste prevention program in operation. Waste collection is performed with highly polluting diesel trucks (Euro 2) using street bins with very low recycling and composting rates. A total of 7 MBTs are operating and 2 incinerators burn refuse-derived fuel (RDF) produced in MBTs; a total of 9 landfills are operating where waste disposal occurs mostly without pretreatment. |
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