Particulate monitoring, modeling, and management: natural sources, long-range transport, and emission control options: a case study of Cyprus

Savvas Kleanthous; Chrysanthos Savvides; Ioannis Christofides; Diofantos G. Hadjimitsis; Kyriacos Themistocleous; Constantia Achilleos; Evangelos Akylas; Chrystalla Demetriadou; Pavlos Christodoulides; Ioannis Douros; Nicolas Moussiopoulos; Charalambos Panayiotou; Charalambous Gregoris; Kurt Fedra; Milan Kubat; Nicolaos Mihalopoulos

doi:10.1117/12.2028222

5 August 2013 Particulate monitoring, modeling, and management: natural sources, long-range transport, and emission control options: a case study of Cyprus

Savvas Kleanthous, Chrysanthos Savvides, Ioannis Christofides, Diofantos G. Hadjimitsis, Kyriacos Themistocleous, Constantia Achilleos, Evangelos Akylas, Chrystalla Demetriadou, Pavlos Christodoulides, Ioannis Douros, Nicolas Moussiopoulos, Charalambos Panayiotou, Charalambous Gregoris, Kurt Fedra, Milan Kubat, Nicolaos Mihalopoulos

Author Affiliations +

Proceedings Volume 8795, First International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2013); 87951D (2013) https://doi.org/10.1117/12.2028222
Event: First International Conference on Remote Sensing and Geoinformation of Environment, 2013, Paphos, Cyprus

Abstract

The LIFE+ Project PM³: Particulate Monitoring, Modeling, Management is coordinated by the Department of Labour Inspection in Cyprus and funded in part by LIFE+ Environment Policy & Governance. The project aims at the analysis of dust emissions, transport, and control options for Cyprus, as well as at the identification of “natural” contributions (Directive 2008/50/EC). The ultimate objective is to provide inputs for the design of a dust management plan to improve compliance to EC Directives and minimise impacts to human health and environment. This paper presents a short analysis of historical monitoring data and their patterns as well as a description of a dynamic dust entrainment model. The pyrogenic PM₁₀ emissions combined with the wind driven emissions, are subject to a two phase non-linear multi-criteria emission control optimization procedure. The resulting emission scenarios with an hourly resolution provide input to the Comprehensive Air quality Model with extensions (CAMx) 3D fate and transport model, implemented for the 4,800 km master domain and embedded subdomains (270 km around the island of Cyprus and embedded smaller city domains of up to 30 km down to street canyon modeling). The models test the feasibility of candidate emission control solutions over a range of weather conditions. Model generated patterns of local emissions and long-range transport are discussed compared with the monitoring data, remote sensing (MODIS derived AOT), and the chemical analysis of dust samples.

Citation Download Citation

Savvas Kleanthous, Chrysanthos Savvides, Ioannis Christofides, Diofantos G. Hadjimitsis, Kyriacos Themistocleous, Constantia Achilleos, Evangelos Akylas, Chrystalla Demetriadou, Pavlos Christodoulides, Ioannis Douros, Nicolas Moussiopoulos, Charalambos Panayiotou, Charalambous Gregoris, Kurt Fedra, Milan Kubat, and Nicolaos Mihalopoulos "Particulate monitoring, modeling, and management: natural sources, long-range transport, and emission control options: a case study of Cyprus", Proc. SPIE 8795, First International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2013), 87951D (5 August 2013); https://doi.org/10.1117/12.2028222

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available