Pollutants and non-GHG forcing agents - AIM-Hub - Revision history

Rineke Oostenrijk: Text replacement - "|QQQ " to ""

2020-06-23T15:15:13Z

Text replacement - "|QQQ " to ""

← Older revision		Revision as of 17:15, 23 June 2020
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	\|IsDocumentationOf=AIM-Hub		\|IsDocumentationOf=AIM-Hub
	\|DocumentationCategory=Pollutants and non-GHG forcing agents		\|DocumentationCategory=Pollutants and non-GHG forcing agents
	~~\|QQQ~~
	}}		}}
	Air pollution implications are derived with the help of the GAINS (Greenhouse gas–Air pollution INteractions and Synergies) model which allows for the development of cost-effective emission control strategies to meet environmental objectives on climate, human health and ecosystem impacts until 2030. These impacts are considered in a multi-pollutant context, quantifying the contributions of sulfur dioxide (SO2), nitrogen oxides (NOx), ammonia (NH3), non-methane volatile organic compounds (VOC), and primary emissions of particulate matter (PM), including fine and coarse PM as well as carbonaceous particles (BC, OC). The results of such scenarios are used as input to global IAM frameworks to characterize air pollution trajectories associated with various long-term energy developments.		Air pollution implications are derived with the help of the GAINS (Greenhouse gas–Air pollution INteractions and Synergies) model which allows for the development of cost-effective emission control strategies to meet environmental objectives on climate, human health and ecosystem impacts until 2030. These impacts are considered in a multi-pollutant context, quantifying the contributions of sulfur dioxide (SO2), nitrogen oxides (NOx), ammonia (NH3), non-methane volatile organic compounds (VOC), and primary emissions of particulate matter (PM), including fine and coarse PM as well as carbonaceous particles (BC, OC). The results of such scenarios are used as input to global IAM frameworks to characterize air pollution trajectories associated with various long-term energy developments.

Rineke Oostenrijk: Text replacement - "HasParent=(.*) " to "QQQ "

2020-06-23T15:12:19Z

Text replacement - "HasParent=(.*) " to "QQQ "

← Older revision		Revision as of 17:12, 23 June 2020
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	\|IsDocumentationOf=AIM-Hub		\|IsDocumentationOf=AIM-Hub
	\|DocumentationCategory=Pollutants and non-GHG forcing agents		\|DocumentationCategory=Pollutants and non-GHG forcing agents
	\|~~HasParent=Emissions_-_AIM-Hub~~		\|QQQ
	}}		}}
	Air pollution implications are derived with the help of the GAINS (Greenhouse gas–Air pollution INteractions and Synergies) model which allows for the development of cost-effective emission control strategies to meet environmental objectives on climate, human health and ecosystem impacts until 2030. These impacts are considered in a multi-pollutant context, quantifying the contributions of sulfur dioxide (SO2), nitrogen oxides (NOx), ammonia (NH3), non-methane volatile organic compounds (VOC), and primary emissions of particulate matter (PM), including fine and coarse PM as well as carbonaceous particles (BC, OC). The results of such scenarios are used as input to global IAM frameworks to characterize air pollution trajectories associated with various long-term energy developments.		Air pollution implications are derived with the help of the GAINS (Greenhouse gas–Air pollution INteractions and Synergies) model which allows for the development of cost-effective emission control strategies to meet environmental objectives on climate, human health and ecosystem impacts until 2030. These impacts are considered in a multi-pollutant context, quantifying the contributions of sulfur dioxide (SO2), nitrogen oxides (NOx), ammonia (NH3), non-methane volatile organic compounds (VOC), and primary emissions of particulate matter (PM), including fine and coarse PM as well as carbonaceous particles (BC, OC). The results of such scenarios are used as input to global IAM frameworks to characterize air pollution trajectories associated with various long-term energy developments.

Rineke Oostenrijk: Text replacement - "|HasSeq=2 " to ""

2020-06-23T15:01:40Z

Text replacement - "|HasSeq=2 " to ""

← Older revision		Revision as of 17:01, 23 June 2020
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	\|IsDocumentationOf=AIM-Hub		\|IsDocumentationOf=AIM-Hub
	\|DocumentationCategory=Pollutants and non-GHG forcing agents		\|DocumentationCategory=Pollutants and non-GHG forcing agents
	~~\|HasSeq=2~~
	\|HasParent=Emissions_-_AIM-Hub		\|HasParent=Emissions_-_AIM-Hub
	}}		}}
	Air pollution implications are derived with the help of the GAINS (Greenhouse gas–Air pollution INteractions and Synergies) model which allows for the development of cost-effective emission control strategies to meet environmental objectives on climate, human health and ecosystem impacts until 2030. These impacts are considered in a multi-pollutant context, quantifying the contributions of sulfur dioxide (SO2), nitrogen oxides (NOx), ammonia (NH3), non-methane volatile organic compounds (VOC), and primary emissions of particulate matter (PM), including fine and coarse PM as well as carbonaceous particles (BC, OC). The results of such scenarios are used as input to global IAM frameworks to characterize air pollution trajectories associated with various long-term energy developments.		Air pollution implications are derived with the help of the GAINS (Greenhouse gas–Air pollution INteractions and Synergies) model which allows for the development of cost-effective emission control strategies to meet environmental objectives on climate, human health and ecosystem impacts until 2030. These impacts are considered in a multi-pollutant context, quantifying the contributions of sulfur dioxide (SO2), nitrogen oxides (NOx), ammonia (NH3), non-methane volatile organic compounds (VOC), and primary emissions of particulate matter (PM), including fine and coarse PM as well as carbonaceous particles (BC, OC). The results of such scenarios are used as input to global IAM frameworks to characterize air pollution trajectories associated with various long-term energy developments.

Rineke Oostenrijk: Text replacement - "|HasLevel=2 " to ""

2020-06-23T14:55:31Z

Text replacement - "|HasLevel=2 " to ""

← Older revision		Revision as of 16:55, 23 June 2020
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	\|IsDocumentationOf=AIM-Hub		\|IsDocumentationOf=AIM-Hub
	\|DocumentationCategory=Pollutants and non-GHG forcing agents		\|DocumentationCategory=Pollutants and non-GHG forcing agents
	~~\|HasLevel=2~~
	\|HasSeq=2		\|HasSeq=2
	\|HasParent=Emissions_-_AIM-Hub		\|HasParent=Emissions_-_AIM-Hub
	}}		}}
	Air pollution implications are derived with the help of the GAINS (Greenhouse gas–Air pollution INteractions and Synergies) model which allows for the development of cost-effective emission control strategies to meet environmental objectives on climate, human health and ecosystem impacts until 2030. These impacts are considered in a multi-pollutant context, quantifying the contributions of sulfur dioxide (SO2), nitrogen oxides (NOx), ammonia (NH3), non-methane volatile organic compounds (VOC), and primary emissions of particulate matter (PM), including fine and coarse PM as well as carbonaceous particles (BC, OC). The results of such scenarios are used as input to global IAM frameworks to characterize air pollution trajectories associated with various long-term energy developments.		Air pollution implications are derived with the help of the GAINS (Greenhouse gas–Air pollution INteractions and Synergies) model which allows for the development of cost-effective emission control strategies to meet environmental objectives on climate, human health and ecosystem impacts until 2030. These impacts are considered in a multi-pollutant context, quantifying the contributions of sulfur dioxide (SO2), nitrogen oxides (NOx), ammonia (NH3), non-methane volatile organic compounds (VOC), and primary emissions of particulate matter (PM), including fine and coarse PM as well as carbonaceous particles (BC, OC). The results of such scenarios are used as input to global IAM frameworks to characterize air pollution trajectories associated with various long-term energy developments.

Rineke Oostenrijk: Text replacement - "AIM-CGE" to "AIM-Hub"

2020-06-16T07:29:24Z

Text replacement - "AIM-CGE" to "AIM-Hub"

← Older revision		Revision as of 09:29, 16 June 2020
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	\|HasSeq=2		\|HasSeq=2
	\|HasParent=Emissions_-_AIM-~~CGE~~		\|HasParent=Emissions_-_AIM-Hub
	}}		}}
	Air pollution implications are derived with the help of the GAINS (Greenhouse gas–Air pollution INteractions and Synergies) model which allows for the development of cost-effective emission control strategies to meet environmental objectives on climate, human health and ecosystem impacts until 2030. These impacts are considered in a multi-pollutant context, quantifying the contributions of sulfur dioxide (SO2), nitrogen oxides (NOx), ammonia (NH3), non-methane volatile organic compounds (VOC), and primary emissions of particulate matter (PM), including fine and coarse PM as well as carbonaceous particles (BC, OC). The results of such scenarios are used as input to global IAM frameworks to characterize air pollution trajectories associated with various long-term energy developments.		Air pollution implications are derived with the help of the GAINS (Greenhouse gas–Air pollution INteractions and Synergies) model which allows for the development of cost-effective emission control strategies to meet environmental objectives on climate, human health and ecosystem impacts until 2030. These impacts are considered in a multi-pollutant context, quantifying the contributions of sulfur dioxide (SO2), nitrogen oxides (NOx), ammonia (NH3), non-methane volatile organic compounds (VOC), and primary emissions of particulate matter (PM), including fine and coarse PM as well as carbonaceous particles (BC, OC). The results of such scenarios are used as input to global IAM frameworks to characterize air pollution trajectories associated with various long-term energy developments.

Rineke Oostenrijk: Text replacement - "IsDocumentationOf=AIM-CGE" to "IsDocumentationOf=AIM-Hub"

2020-06-15T13:19:07Z

Text replacement - "IsDocumentationOf=AIM-CGE" to "IsDocumentationOf=AIM-Hub"

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	\|IsEmpty=No		\|IsEmpty=No
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	\|DocumentationCategory=Pollutants and non-GHG forcing agents		\|DocumentationCategory=Pollutants and non-GHG forcing agents
	\|HasLevel=2		\|HasLevel=2

Rineke Oostenrijk: Rineke Oostenrijk moved page Pollutants and non-GHG forcing agents - AIM-CGE to Pollutants and non-GHG forcing agents - AIM-Hub without leaving a redirect: Text replacement - "AIM-CGE" to "AIM-Hub"

2020-06-15T12:53:03Z

Rineke Oostenrijk moved page Pollutants and non-GHG forcing agents - AIM-CGE to Pollutants and non-GHG forcing agents - AIM-Hub without leaving a redirect: Text replacement - "AIM-CGE" to "AIM-Hub"

← Older revision

Revision as of 14:53, 15 June 2020

Shinichiro Fujimori: Created page with "{{ModelDocumentationTemplate |IsEmpty=No |IsDocumentationOf=AIM-CGE |DocumentationCategory=Pollutants and non-GHG forcing agents |HasLevel=2 |HasSeq=2 |HasParent=Emissions_-_A..."

2016-12-07T08:28:30Z

Created page with "{{ModelDocumentationTemplate |IsEmpty=No |IsDocumentationOf=AIM-CGE |DocumentationCategory=Pollutants and non-GHG forcing agents |HasLevel=2 |HasSeq=2 |HasParent=Emissions_-_A..."

New page

{{ModelDocumentationTemplate
|IsEmpty=No
|IsDocumentationOf=AIM-CGE
|DocumentationCategory=Pollutants and non-GHG forcing agents
|HasLevel=2
|HasSeq=2
|HasParent=Emissions_-_AIM-CGE
}}
Air pollution implications are derived with the help of the GAINS (Greenhouse gas–Air pollution INteractions and Synergies) model which allows for the development of cost-effective emission control strategies to meet environmental objectives on climate, human health and ecosystem impacts until 2030. These impacts are considered in a multi-pollutant context, quantifying the contributions of sulfur dioxide (SO2), nitrogen oxides (NOx), ammonia (NH3), non-methane volatile organic compounds (VOC), and primary emissions of particulate matter (PM), including fine and coarse PM as well as carbonaceous particles (BC, OC). The results of such scenarios are used as input to global IAM frameworks to characterize air pollution trajectories associated with various long-term energy developments.