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Open AccessJournal ArticleDOI

A multi-model assessment of the co-benefits of climate mitigation for global air quality

TLDR
In this paper, a model comparison study that combines multiple integrated assessment models with a reduced-form global air quality model to assess the potential co-benefits of global climate mitigation policies in relation to the World Health Organization (WHO) goals on air quality and health is presented.
Abstract
We present a model comparison study that combines multiple integrated assessment models with a reduced-form global air quality model to assess the potential co-benefits of global climate mitigation policies in relation to the World Health Organization (WHO) goals on air quality and health. We include in our assessment, a range of alternative assumptions on the implementation of current and planned pollution control policies. The resulting air pollution emission ranges significantly extend those in the Representative Concentration Pathways. Climate mitigation policies complement current efforts on air pollution control through technology and fuel transformations in the energy system. A combination of stringent policies on air pollution control and climate change mitigation results in 40% of the global population exposed to PM levels below the WHO air quality guideline; with the largest improvements estimated for India, China, and Middle East. Our results stress the importance of integrated multisector policy approaches to achieve the Sustainable Development Goals.

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Mitigation Pathways Compatible with 1.5°C in the Context of Sustainable Development

TL;DR: In this paper, the authors present a survey of the work of the authors of this paper, including the following authors: Katherine Calvin (USA), Joana Correia de Oliveira de Portugal Pereira (UK/Portugal), Oreane Edelenbosch (Netherlands/Italy), Johannes Emmerling (Italy/Germany), Sabine Fuss (Germany), Thomas Gasser (Austria/France), Nathan Gillett (Canada), Chenmin He (China), Edgar Hertwich (USA/Austria), Lena Höglund-Is
Journal ArticleDOI

Country-level social cost of carbon

TL;DR: In this article, the authors estimate country-level contributions to the social cost of carbon using recent climate model projections, empirical climate-driven economic damage estimations and socio-economic projections.
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Connecting the Sustainable Development Goals by their energy inter-linkages

TL;DR: In this article, a large-scale assessment of the relevant energy literature was conducted to better understand energy-related interactions between SDGs, as well as their context-dependencies (relating to time, geography, governance, technology, and directionality).
Journal ArticleDOI

Air quality co-benefits for human health and agriculture counterbalance costs to meet Paris Agreement pledges.

TL;DR: The authors revisited air quality co-benefits of climate action in the context of NDCs and found that 71–99 thousand premature deaths can be avoided each year by 2030, offsetting the climate mitigation costs on a global level.
References
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Journal ArticleDOI

A comparative risk assessment of burden of disease and injury attributable to 67 risk factors and risk factor clusters in 21 regions, 1990-2010: a systematic analysis for the Global Burden of Disease Study 2010

Stephen S Lim, +210 more
- 15 Dec 2012 - 
TL;DR: In this paper, the authors estimated deaths and disability-adjusted life years (DALYs; sum of years lived with disability [YLD] and years of life lost [YLL]) attributable to the independent effects of 67 risk factors and clusters of risk factors for 21 regions in 1990 and 2010.
Journal ArticleDOI

Global and regional climate changes due to black carbon

TL;DR: The second most important contribution to anthropogenic climate warming, after carbon dioxide emissions, was made by black carbon emissions as mentioned in this paper, which is an efficient absorbing agent of solar irradiation that is preferentially emitted in the tropics and can form atmospheric brown clouds in mixture with other aerosols.
Journal ArticleDOI

Fully coupled “online” chemistry within the WRF model

TL;DR: The WRF/Chem model is statistically better skilled in forecasting O3 than MM5/Chem, with no appreciable differences between models in terms of bias with the observations, and consistently exhibits better skill at forecasting the O3 precursors CO and NOy at all of the surface sites.
Journal Article

World population prospects

Parant A
- 01 Mar 1990 - 
TL;DR: The author summarizes recent U.N. global population projections up to the year 2025, focusing on the rates of overall growth, the changing balance of population between the developed and developing worlds, demographic aging, and urbanization.
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