Difference between revisions of "Air Pollution In World Countries (PM10 Concentrations)"

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(New page: {{GEO User Requirement Document |Title=Air Pollution In World Cities (PM10 Concentrations) |DocURL=http://econ.worldbank.org/WBSITE/EXTERNAL/EXTDEC/EXTRESEARCH/0,,contentMDK:20785646~pa |O...)
 
 
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{{GEO User Requirement Document
 
{{GEO User Requirement Document
 
|Title=Air Pollution In World Cities (PM10 Concentrations)
 
|Title=Air Pollution In World Cities (PM10 Concentrations)
|DocURL=http://econ.worldbank.org/WBSITE/EXTERNAL/EXTDEC/EXTRESEARCH/0,,contentMDK:20785646~pa
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|DocURL=http://go.worldbank.org/3RDFO7T6M0
 
|Organization=World Bank
 
|Organization=World Bank
 
|DocType=International Report
 
|DocType=International Report
 
|DocRegion=International
 
|DocRegion=International
|DocumentNumber=98
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|DocumentNumber=99
|SubmittedDate=2009/10/00
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|SubmittedDate=2009/09/30
|Description=World Bnak estimate world countries average concentrations for 1999
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|Description=World Bank estimate Urban population weighted average PM10 concentrations (micro grams per cubic meter) in residential areas of cities larger than 100,000 for 1999
 
|Parameters=PM10
 
|Parameters=PM10
|TemporalResolution=1999 yearly average
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|TemporalResolution=1999
|SpatialResolution=by country
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|SpatialResolution=by cities over 100,000 population
 
}}
 
}}
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World Bank 1999 by country estimate of PM10 annual average concentration and 2000 country population
  
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Scarce public resources have limited the monitoring of atmospheric particulate matter (PM) concentrations in developing countries, despite their large potential health effects.  As a result, policymakers in many developing countries remain uncertain about the exposure of their residents to PM air pollution.  The Global Model of Ambient Particulates (GMAPS) is an attempt to bridge this information gap through an econometrically estimated model for predicting PM levels in world cities (Pandey et al. forthcoming).
  
World Bank 1999 by country estimate of PM10 annual average concentration and 2000 country population
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The estimation model is based on the latest available monitored PM pollution data from the World Health Organization, supplemented by data from other reliable sources.  The current model can be used to estimate PM levels in urban residential areas and non-residential pollution hotspots.  The results of the model are used to project annual average ambient PM concentrations for residential and non-residential areas in 3,226 world cities with populations larger than 100,000, as well as national capitals.
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Latest revision as of 19:50, October 20, 2009

< GEO User Requirements for Air Quality | Report | Documents | Resources | Edit with Form
Doc #: 99 Title: Air Pollution In World Cities (PM10 Concentrations) | Document Link
Organization/Author: World Bank
Type: "International Report" is not in the list (Report, Workshop, Paper, Website, Presentation, Legislation, Other) of allowed values for the "DocType" property.International Report
Year:
Region: International
Observation Type:
Observation Needs:
Document Status: Unsubmitted, 2009/09/30
Parameters: PM10


Description of Document: World Bank estimate Urban population weighted average PM10 concentrations (micro grams per cubic meter) in residential areas of cities larger than 100,000 for 1999
World Bank 1999 by country estimate of PM10 annual average concentration and 2000 country population

Scarce public resources have limited the monitoring of atmospheric particulate matter (PM) concentrations in developing countries, despite their large potential health effects. As a result, policymakers in many developing countries remain uncertain about the exposure of their residents to PM air pollution. The Global Model of Ambient Particulates (GMAPS) is an attempt to bridge this information gap through an econometrically estimated model for predicting PM levels in world cities (Pandey et al. forthcoming).

The estimation model is based on the latest available monitored PM pollution data from the World Health Organization, supplemented by data from other reliable sources. The current model can be used to estimate PM levels in urban residential areas and non-residential pollution hotspots. The results of the model are used to project annual average ambient PM concentrations for residential and non-residential areas in 3,226 world cities with populations larger than 100,000, as well as national capitals.