Environmental and Health Benefits from Designating the Marmara Sea and the Turkish Straits as an Emission Control Area (ECA).

Saved in:
Bibliographic Details
Title: Environmental and Health Benefits from Designating the Marmara Sea and the Turkish Straits as an Emission Control Area (ECA).
Authors: Viana, M.1 mar.viana@idaea.csic.es, Fann, N.2, Tobías, A.1, Querol, X.1, Rojas-Rueda, D.3, Plaza, A.4, Aynos, G.5, Conde, J. A.6, Fernández, L.6, Fernández, C.7
Source: Environmental Science & Technology. 3/17/2015, Vol. 49 Issue 6, p3304-3313. 10p.
Subject Terms: *Emissions (Air pollution), *Air quality, *Health, *Sulfur & the environment, *Air pollution control
Abstract: Ship emissions degrade air quality and affect human health, and are increasingly becoming a matter of concern. Sulfur emission control areas (ECA), specific coastal regions where only low-sulfur fuels may be consumed by ocean-going ships, have proven to be useful tools to reduce ship-sourced air pollution along the North American, Canadian, and European North and Baltic Sea coastlines. The present work assesses the environmental and health benefits which would derive from designating an ECA in the Marmara Sea and the Turkish Straits (50 000 ships/year; 23 million inhabitants). Results show evidence that implementing an ECA would be technically viable and that it would reduce ship-sourced PM10 and PM2.5 ambient concentrations in Istanbul by 67%, and SO2 by 90%. The reduction of the air pollution burden on health was quantified as 210 hospital admissions from exposure to PM10, 290 hospital admissions from exposure to SO2, and up to 30 premature deaths annually due to ECA emission controls. Consequently, the designation of an ECA in the Marmara Sea and the Turkish Straits is evaluated as a positive, technically viable and real-world measure to reduce air pollution from ships in Turkey. [ABSTRACT FROM AUTHOR]
Copyright of Environmental Science & Technology is the property of American Chemical Society and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: GreenFILE
Be the first to leave a comment!
You must be logged in first