A risk-based approach to cumulative effect assessments for marine management

Marine ecosystems are increasingly threatened by the cumulative effects of multiple human pressures. Cumulative effect assessments (CEAs) are needed to inform environmental policy and guide ecosystem-based management. Yet, CEAs are inherently complex and seldom linked to real-world management processes. Therefore we propose entrenching CEAs in a risk management process, comprising the steps of risk identification, risk analysis and risk evaluation. We provide guidance to operationalize a risk-based approach to CEAs by describing for each step guiding principles and desired outcomes, scientific challenges and practical solutions. We reviewed the treatment of uncertainty in CEAs and the contribution of different tools and data sources to the implementation of a risk based approach to CEAs. We show that a risk-based approach to CEAs decreases complexity, allows for the transparent treatment of uncertainty and streamlines the uptake of scientific outcomes into the science-policy interface. Hence, its adoption can help bridging the gap between science and decision-making in ecosystem-based management

Dataset of PM10 and PM2.5-associated PAHs from two locations in North-Western Greece

Dataset of Polycyclic Aromatic Hydrocarbons (PAHs), extracted from daily inhalable particulate samples, collected in two locations in North-Western Greece. The location of the sampling stations was an industrial area with extensive open-cast mining operations for a period of one year (December 2017 to November 2018). The samples were collected using low volume samplers and particles trapped with 47 mm quartz fiber filters. PAHs in particulate samples were analyzed using dichloromethane extraction followed by gas chromatography–mass spectrometry.THIS DATASET IS ARCHIVED AT DANS/EASY, BUT NOT ACCESSIBLE HERE. TO VIEW A LIST OF FILES AND ACCESS THE FILES IN THIS DATASET CLICK ON THE DOI-LINK ABOV

PM10 concentrations in the region of West Macedonia, Greece for a 10-year period

Dataset of PM10 daily average concentrations for a 10-year period The data presented were collected from nine locations from 2021 to 2020 in the region of western Macedonia, GreeceTHIS DATASET IS ARCHIVED AT DANS/EASY, BUT NOT ACCESSIBLE HERE. TO VIEW A LIST OF FILES AND ACCESS THE FILES IN THIS DATASET CLICK ON THE DOI-LINK ABOV

Dataset of Polycyclic aromatic hydrocarbons and trace elements in PM2.5 and PM10 atmospheric particles from two locations in North-Western Greece

This dataset presents information regarding PM10, PM2.5, Polycyclic Aromatic Hydrocarbons (PAHs), and trace elements that were obtained from two sampling stations, located in the region of Western Macedonia (North-Western Greece), over the course of a 12-month periodTHIS DATASET IS ARCHIVED AT DANS/EASY, BUT NOT ACCESSIBLE HERE. TO VIEW A LIST OF FILES AND ACCESS THE FILES IN THIS DATASET CLICK ON THE DOI-LINK ABOV

Hourly PM10 concentrations in the region of West Macedonia, Greece for a 11-year period

Raw data of inhalable suspended particles with diameter less than 10 μm (PM10) in the region of west Macedonia, Greece, from a total of nine locations, from 2010-2020THIS DATASET IS ARCHIVED AT DANS/EASY, BUT NOT ACCESSIBLE HERE. TO VIEW A LIST OF FILES AND ACCESS THE FILES IN THIS DATASET CLICK ON THE DOI-LINK ABOV

Development and validation of a novel-based combination operational air quality forecasting system in Greece

In the present work, a model combination is developed in order to provide the public, in north-western Greece, with the next day air quality forecast. Generally, the development and deployment of a real-time numerical air quality prediction system is technically challenging while even more in complex terrain. The Air Pollution Model (TAPM) (http://www. cmar. csiro. au/research/tapm) is a hydrostatic prognostic mesoscale model. It has been calibrated for the area in recent studies and used in air quality assessments. In 2007, TAPM has started operating in a real-time operational mode for the prediction of next day's weather forecast, particulate matter (PM10 with an aerodynamic diameter <10 μm) daily average concentration and Air Pollution Indexes. The model setup is a link up between TAPM and SKIRON modeling system (http://forecast. uoa. gr). © 2010 Springer-Verlag