A Model to Calculate Natural VOC Emissions from Forests in Europe

A significant portion of the total emissions of volatile organic compounds (VOC) may come from natural sources and, in particular, from forests. It is important to quantify these emissions because their share influences the magnitude of reductions that will have to be undertaken in the anthropogenic emission sectors in order to reduce secondary air pollution problem such as photochemical smog and acid deposition. This paper describes a model to calculate geographically-resolved VOC emissions from forests in Europe for different seasons, months or average days. We review briefly the method on how to calculate biogenic emissions from trees and available emission factor functions, including a discussion of the dependence of emissions on latitude, altitude, time of the day and temperature. Subsequently, the geographically-resolved forest and temperature data bases for Europe, as used in this model to derive the emission estimates, are described. The forest data are verified against other published forest inventories for Europe or parts of Europe. The resulting total VOC emissions are compared with existing country- or region-specific estimates, and some sensitivity analyses are carried out in order to show where the emission model could be simplified or where it needs to be improved. Based on our total forest coverage of approximately 2.2 million km^2, we calculate an average total annual emission rate of VOC's from these forests of 7.5 Megatonnes, based on typical European temperatures averaged over 30 years. This is equivalent to an areal average of 3.4 tonnes per year per km^2 forest or 0.9 tonnes per year per km^2 land area in the modeling domain. Until now, this forest emission model represents the only available basis for geographically-resolved emission calculations of VOC's from forests for all Europe for varying time periods

Comparison of the RAINS Emission Control Cost Curves for Air Pollutants with Emission Control Costs Computed by the GAINS Model

This paper compares cost curves of SO2, NOx and PM2.5 emission controls generated with the RAINS (Regional Air Pollution Information and Simulation) model with cost estimates obtained from the GAINS (Greenhouse Gas - Air Pollution Interactions and Synergies) model. Based on the same set of input data, results from both models are very similar, and differences are considered as insignificant

Towards a Simplified Model to Describe Ozone Formation in Europe

Air pollution is a multi-faceted problem with a variety of pollutants released from a large number of different anthropogenic activities causing a multitude of environmental effects. Cost-effective strategies to reduce negative impacts of air pollution must take account of these complexities and consider the individual aspects of the air pollution problem simultaneously. Integrated assessment models provide a consistent framework for a systematic analysis of alternative strategies. One of such models, the RAINS (Regional Acidification Information and Simulation) model developed at IIASA, has been used as a scientific support tool for the international discussions on further reductions of emissions of sulfur dioxide in Europe, which led in 1994 to an agreement on the 'Second Sulfur Protocol'. The perceived success of this agreement motivated further work on extending model analysis to additional pollutants and effects. Elevated levels of tropospheric ozone are currently considered as one of the major air quality problems in Europe, calling for balanced reductions of emissions of nitrogen oxides and volatile organic compounds. A major obstacle for developing a practical integrated assessment model for ozone is the complexity and the size of most of the current models on atmospheric ozone formation. This paper tries to identify elements for potential model simplifications, which could contribute to the development of an operational European-scale ozone formation model. Such a simplified model would establish the core of an integrated assessment model for ozone formation, linking information on emissions and emission control costs with an assessment of their environmental impacts

The RAINS Optimization Module for the Clean Air For Europe (CAFE) Programme

In 2005 the European Commission developed the Thematic Strategy on Air Quality (COM (2005) 446). IIASA's TAP programme has been instrumental in preparing various emission scenarios for the development of the strategy, and the optimization module of RAINS has been used extensively in the exercise. In this report we document the mathematical formulation and methodological aspects of the optimization module of RAINS

The GAINS Optimization Module as of 1 February 2007

This document describes the optimization framework of the GAINS model for Europe. The approach is compared to the approach used in the RAINS model and a detailed description of the objective function, the constraints and the impact functions is given. Finally a comparison of individual single pollutant cost curves generated from the RAINS model and with the optimization module of GAINS is given to illustrate the consistency of the two approaches for single pollutant measures

Statistical Analysis of Tropospheric Ozone Concentration

This paper analyzes ozone monitoring data obtained from 50 European stations operated by the Co-operative Programme for Monitoring and Evaluation of the Long Range Transmission of Air Pollutants in Europe (EMEP) and two stations maintained by the Austrian Environmental Agency. Data used in the analyses covered the summer period of the year 1990. The analysis explores first time series of ozone concentration and establishes simple statistical parameters such as maximum, average, daily variation and exceedance indices. It is shown that different indices rank high at different locations in Europe, stressing the importance of well-based information when establishing relationships to environmental impacts. Different characteristic exposure patterns are identified for Northern Europe, Central Europe and the UK. The analysis shows that at some stations also night time ozone concentration has a remarkable effect on cumulated excess ozone. Thus, caution should be exerted when excluding the nighttime values until more detailed data on the biological effects of nighttime high concentrations are obtained

Calculation of Cause-specific Mortality Impacts of Fine Particulate Matter in GAINS

In the early 2000s, the GAINS (Greenhouse gas - Air pollution Interactions and Synergies) model used emerging epidemiological evidence to estimate premature mortality of the European population that can be attributed to the exposure to fine particulate matter and to identify cost-effective emission control strategies that reduce health impacts at least cost (Amann et al., 2011, p.accepted for publication). Based on the review of available studies on the health effects of PM conducted by the UNECE Task Force on Health (UNECE/WHO, 2003), the GAINS impact assessment employed the associations between population exposure to PM2.5 and all-cause mortality of the American Cancer Society study (Pope et al., 2002). In the meantime, a wealth of new epidemiological studies have sharpened the evidence about health effects of particulate matter and revealed more specific associations between ambient concentrations of PM2.5 and health impacts (e.g., Pope et al., 2009). In particular, new studies establish robust relationships between exposure to fine particles and specific causes of deaths. These new insights should facilitate a more specific estimate of the role of particular death causes that are associated with bad air quality, and a more precise estimate of the total mortality impacts in different countries as baseline death rates from different diseases vary over countries. This background paper describes a revised approach of the health impact assessment in GAINS that employs cause-specific concentration-response relationships for lung cancer, cardio-vascular and respiratory diseases for the European countries. Data on cause-specific deaths in the European countries have been extracted from the 2010 version of the World Health Organization database on mortality indicators by 67 causes of death, age and sex (HFA-MDB) for the latest available year. As a result, the cause-specific approach results in higher impact estimates than the former calculation for all-cause mortality. The difference depends on the relative shares of death causes in the various countries; for the EU-27, cause-specific calculations for the year 2000 result in 16% higher health effects, keeping all other factors constant (i.e., PM exposure, population, etc.). In the non-EU countries, the difference amounts to 54%, essentially due to the higher share of cardio-vascular deaths

On the Optimization Model for Acid Loads on Forest Soils

The emphasis of the model is on the transboundary aspect of air pollution in Europe with the aim to find cost effective environment policies for Europe. The model will be embedded in the IIASA Regional Acidification Information and Simulation (RAINS) model. The spatial coverage of RAINS is all of Europe, and the time horizon begins in 1960 to permit checking of historical calculations, and extends to 2030 to allow examination of long-term consequences of control strategies. In this work we concentrate on soil acidification, which is an important link between air pollution and damage to the terrestrial and aquatic environment. The ability of soil to buffer acid deposition is a key factor in regulating the long-term surface and groundwater acidification. Soil acidification has also been related to forest die-back via its effect in the tree root zone. This work is concentrating on the finding of cost effective pollution control satisfying environment constraints, such as pH-value in forest soils

Differential DNA accessibility to polymerase enables 30-minute phenotypic β-lactam antibiotic susceptibility testing of carbapenem-resistant Enterobacteriaceae

The rise in carbapenem-resistant Enterobacteriaceae (CRE) infections has created a global health emergency, underlining the critical need to develop faster diagnostics to treat swiftly and correctly. Although rapid pathogen-identification (ID) tests are being developed, gold-standard antibiotic susceptibility testing (AST) remains unacceptably slow (1–2 d), and innovative approaches for rapid phenotypic ASTs for CREs are urgently needed. Motivated by this need, in this manuscript we tested the hypothesis that upon treatment with β-lactam antibiotics, susceptible Enterobacteriaceae isolates would become sufficiently permeabilized, making some of their DNA accessible to added polymerase and primers. Further, we hypothesized that this accessible DNA would be detectable directly by isothermal amplification methods that do not fully lyse bacterial cells. We build on these results to develop the polymerase-accessibility AST (pol-aAST), a new phenotypic approach for β-lactams, the major antibiotic class for gram-negative infections. We test isolates of the 3 causative pathogens of CRE infections using ceftriaxone (CRO), ertapenem (ETP), and meropenem (MEM) and demonstrate agreement with gold-standard AST. Importantly, pol-aAST correctly categorized resistant isolates that are undetectable by current genotypic methods (negative for β-lactamase genes or lacking predictive genotypes). We also test contrived and clinical urine samples. We show that the pol-aAST can be performed in 30 min sample-to-answer using contrived urine samples and has the potential to be performed directly on clinical urine specimens

The GAINS Optimization Module: Identifying Cost-effective Measures for Improving Air Quality and Short-term Climate Forcing

This document describes the optimization framework of the GAINS model as used for the development of cost-effective air pollution control scenarios for Europe. We put particular emphasis on the methodology for finding cost-effective control strategies that address both environmental impact indicators related to air pollution, and the radiative forcing of (some of) these pollutants. The GAINS multi-pollutant multi-effect framework lends itself for analysing synergies and trade-offs between different objectives and for quantifying cost implications. In this document we describe various formal aspects of the optimization, including the dimension of the solution space, nature and use of decision variables and their relation to relevant functions, such as cost, emissions and environmental impact indicators. We illustrate standard optimization configurations that are used to calculate commonly used scenarios. We introduce the gap closure procedure that allows to set targets that are guaranteed to be feasible and which at the same time respect the need to distribute environmental benefits evenly, as far as possible, between countries. We further illustrate, for selected ambition levels, the trade-off between reductions in environmental impact indicators and radiative forcings. Within certain ranges, these trade-offs in terms of physical effects can be compensated by changing to a more costly control strategy. The cost for compensation can systematically be calculated, and very specific recommendations can be made in terms of measures in different countries. Unlike in multi-criteria optimization the current formulation of the GAINS optimization makes very explicit the distinction between environmental objectives and control costs. Thus, judgements about the relative value of various environmental benefits are not hidden in some model assumption but need to be made explicit and open in view of the results. In this way, GAINS can be used to aid policy makers to contemplate policy options with the required flexibility, without losing sight of cost-effectiveness considerations