International Journal of Environment and Pollution http://www.inderscience.com/browse/index.php?journalID=9&year=2011&vol=46&issue=1/2 Inderscience Publishers Ltd en-uk International Journal of Environment and Pollution 0957-4352 1741-5101 © 2011 Inderscience Publishers Ltd editor@inderscience.com https://www.inderscience.com/images/files/coverImgs/ijep_scoverijep.jpg http://www.inderscience.com/browse/index.php?journalID=9&year=2011&vol=46&issue=1/2 http://www.inderscience.com/link.php?id=42605 The Regional Climate Models (RCMs) nested into Global Climate Models (GCMs) are expected to improve the regional climate change scenarios for the European subregions. This paper discusses the RCM experiments for the end of the 21st century using the model Providing REgional Climates for Impact Studies (PRECIS) for the Carpathian Basin. Expected future changes in mean values, distributions and empirical probabilities are analysed for the period 2071 2100 (compared to 1961 1990, as a reference period). Significant warming and annual drying is projected, together with substantial changes in the distribution of daily mean temperature and monthly mean precipitation. Expected trends of regional climate change for the Carpathian Basin for the 21st century
Ildiko Pieczka; Rita Pongracz; Judit Bartholy
International Journal of Environment and Pollution, Vol. 46, No. 1/2 (2011) pp. 6 - 17
The Regional Climate Models (RCMs) nested into Global Climate Models (GCMs) are expected to improve the regional climate change scenarios for the European subregions. This paper discusses the RCM experiments for the end of the 21st century using the model Providing REgional Climates for Impact Studies (PRECIS) for the Carpathian Basin. Expected future changes in mean values, distributions and empirical probabilities are analysed for the period 2071 2100 (compared to 1961 1990, as a reference period). Significant warming and annual drying is projected, together with substantial changes in the distribution of daily mean temperature and monthly mean precipitation.

]]> 10.1504/IJEP.2011.042605 International Journal of Environment and Pollution, Vol. 46, No. 1/2 (2011) pp. 6 - 17 Ildiko Pieczka; Rita Pongracz; Judit Bartholy Department of Meteorology, Eotvos Lorand University, H-1518 Budapest, P.O. Box 32, Hungary. ' Department of Meteorology, Eotvos Lorand University, H-1518 Budapest, P.O. Box 32, Hungary. ' Department of Meteorology, Eotvos Lorand University, H-1518 Budapest, P.O. Box 32, Hungary RCM regional climate models PRECIS impact studies expected climate change Carpathian Basin temperature precipitation warming annual drying mean temperature mean precipitation. 2011-09-18T23:20:50-05:00 46 1/2 6 17 2011-09-18T23:20:50-05:00 http://www.inderscience.com/link.php?id=42606 The EC FP6 project CECILIA (http://www.cecilia-eu.org) aims at climate change impacts and vulnerability assessment in targeted areas of Central and Eastern Europe. Emphasis is given to regional climate change modelling at resolution of 10 km. The respective weather patterns influence local air quality. For its assessment EPA Models-3 (MM5, CMAQ, SMOKE) is used. The meteorological input is produced by the climatic version of ALADIN weather forecast system. TNO emission inventory for 2000 is exploited. The boundary conditions are extracted from 50-km runs over Europe made in Aristotle University of Thessaloniki, Greece. Calculations for the period 1991 2000 are performed, results presented. A system for assessment of climatic air pollution levels in Bulgaria: description and first steps towards validation
Dimiter Syrakov; Valery Spiridonov; Maria Prodanova; Andrey Bogatchev; Nikolai Miloshev; Kostadin Ganev; Eleni Katragkou; Dimitrios Melas; Anastasia Poupkou; Kostas Markakis; Roberto San Jose; Juan Luiz Perez
International Journal of Environment and Pollution, Vol. 46, No. 1/2 (2011) pp. 18 - 42
The EC FP6 project CECILIA (http://www.cecilia-eu.org) aims at climate change impacts and vulnerability assessment in targeted areas of Central and Eastern Europe. Emphasis is given to regional climate change modelling at resolution of 10 km. The respective weather patterns influence local air quality. For its assessment EPA Models-3 (MM5, CMAQ, SMOKE) is used. The meteorological input is produced by the climatic version of ALADIN weather forecast system. TNO emission inventory for 2000 is exploited. The boundary conditions are extracted from 50-km runs over Europe made in Aristotle University of Thessaloniki, Greece. Calculations for the period 1991 2000 are performed, results presented.

]]> 10.1504/IJEP.2011.042606 International Journal of Environment and Pollution, Vol. 46, No. 1/2 (2011) pp. 18 - 42 Dimiter Syrakov; Valery Spiridonov; Maria Prodanova; Andrey Bogatchev; Nikolai Miloshev; Kostadin Ganev; Eleni Katragkou; Dimitrios Melas; Anastasia Poupkou; Kostas Markakis; Roberto San Jose; Juan Luiz Perez National Institute of Meteorology and Hydrology, Bulgarian Academy of Sciences, 66 Tzarigradsko Chausee, Sofia 1784, Bulgaria. ' National Institute of Meteorology and Hydrology, Bulgarian Academy of Sciences, 66 Tzarigradsko Chausee, Sofia 1784, Bulgaria. ' National Institute of Meteorology and Hydrology, Bulgarian Academy of Sciences, 66 Tzarigradsko Chausee, Sofia 1784, Bulgaria. ' National Institute of Meteorology and Hydrology, Bulgarian Academy of Sciences, 66 Tzarigradsko Chausee, Sofia 1784, Bulgaria. ' Geophysical Institute, Bulgarian Academy of Sciences, Acad. G. Bonchev Str., Bl.3, Sofia 1113, Bulgaria. ' Geophysical Institute, Bulgarian Academy of Sciences, Acad. G. Bonchev Str., Bl.3, Sofia 1113, Bulgaria. ' Laboratory of Atmospheric Physics, Aristotle University of Thessaloniki, 54 124 Thessaloniki, Greece. ' Laboratory of Atmospheric Physics, Aristotle University of Thessaloniki, 54 124 Thessaloniki, Greece. ' Laboratory of Atmospheric Physics, Aristotle University of Thessaloniki, 54 124 Thessaloniki, Greece. ' Laboratory of Atmospheric Physics, Aristotle University of Thessaloniki, 54 124 Thessaloniki, Greece. ' Computer Science School, Technical University of Madrid, Campus de Montegancedo Boadilla del Monte-28660, Madrid, Spain. ' Computer Science School, Technical University of Madrid, Campus de Montegancedo Boadilla del Monte-28660, Madrid, Spain air pollution modelling US-EPA Models-3 regional climate change impact assessment air quality vulnerability assessment Bulgaria. 2011-09-18T23:20:50-05:00 46 1/2 18 42 2011-09-18T23:20:50-05:00 http://www.inderscience.com/link.php?id=42607 The chemistry transport model system EURAD-IM and its variational data assimilation module are applied to assess air quality conditions during the measurement campaign VERTIKO. The inverse modelling system has been designed to run in a nested setup, assimilating in-situ observations and measurements by remote sensing. The benefits of joint initial value and emission rate optimisation are emphasised, significantly enhancing analysis skill for air quality related constituents including ammonia and benzene. A nested application of four-dimensional variational assimilation of tropospheric chemical data
Achim Strunk; Adolf Ebel; Hendrik Elbern
International Journal of Environment and Pollution, Vol. 46, No. 1/2 (2011) pp. 43 - 60
The chemistry transport model system EURAD-IM and its variational data assimilation module are applied to assess air quality conditions during the measurement campaign VERTIKO. The inverse modelling system has been designed to run in a nested setup, assimilating in-situ observations and measurements by remote sensing. The benefits of joint initial value and emission rate optimisation are emphasised, significantly enhancing analysis skill for air quality related constituents including ammonia and benzene.

]]> 10.1504/IJEP.2011.042607 International Journal of Environment and Pollution, Vol. 46, No. 1/2 (2011) pp. 43 - 60 Achim Strunk; Adolf Ebel; Hendrik Elbern Rhenish Institute for Environmental Research at the University of Cologne, Aachener Strasse 209, Cologne, Germany; Royal Netherlands Meteorological Institute (KNMI), P.O. Box 201, 3730 AE De Bilt, Netherlands. ' Rhenish Institute for Environmental Research at the University of Cologne, Aachener Strasse 209, Cologne, Germany. ' Rhenish Institute for Environmental Research at the University of Cologne, Aachener Strasse 209, Cologne, Germany chemistry transport modelling variational data assimilation air quality air pollution EURAD-IM inverse modelling ammonia benzene. 2011-09-18T23:20:50-05:00 46 1/2 43 60 2011-09-18T23:20:50-05:00 http://www.inderscience.com/link.php?id=42608 The evaluation of mesoscale model simulations against experimental data on the vertical profiles of mean meteorological parameters and surface turbulent momentum and heat fluxes for Sofia, Bulgaria, is presented. The simulation of the vertical profiles is currently a weak point in mesoscale modelling, and needs investigation in view of the numerous practical applications. Modelling and measurements of the atmospheric boundary layer in Sofia, Bulgaria
Ekaterina Batchvarova; Enrico Pisoni; Giovanna Finzi
International Journal of Environment and Pollution, Vol. 46, No. 1/2 (2011) pp. 61 - 68
The evaluation of mesoscale model simulations against experimental data on the vertical profiles of mean meteorological parameters and surface turbulent momentum and heat fluxes for Sofia, Bulgaria, is presented. The simulation of the vertical profiles is currently a weak point in mesoscale modelling, and needs investigation in view of the numerous practical applications.

]]> 10.1504/IJEP.2011.042608 International Journal of Environment and Pollution, Vol. 46, No. 1/2 (2011) pp. 61 - 68 Ekaterina Batchvarova; Enrico Pisoni; Giovanna Finzi National Institute of Meteorology and Hydrology, Bulgarian Academy of Sciences, Sofia, Bulgaria. ' Faculty of Engineering, Department of Electronics for Automation, University of Brescia, Italy. ' Faculty of Engineering, Department of Electronics for Automation, University of Brescia, Italy Bulgaria atmospheric boundary layer vertical profiles mesoscale modelling simulation surface turbulent momentum heat fluxes. 2011-09-18T23:20:50-05:00 46 1/2 61 68 2011-09-18T23:20:50-05:00 http://www.inderscience.com/link.php?id=42609 The study examines the ability of US EPA Models-3 system to reproduce air pollution episodes and to evaluate the role of different processes in the PM10 pattern formation. The case study focuses on three major PM10 episodes, that occurred over Germany in February and March of 2003. The emission input is prepared on the basis of the TNO inventory. The simulated PM10 concentrations are compared with measurements from the EMEP stations in Germany. The Integrated Process Rate Analysis function of CMAQ is applied for clarifying the role of different processes in forming PM10 concentration peaks. Numerical study of some high PM10 level episodes
Angelina Todorova; Georgi Gadzhev; Georgi Jordanov; Dimiter Syrakov; Kostadin Ganev; Nikolai Miloshev; Maria Prodanova
International Journal of Environment and Pollution, Vol. 46, No. 1/2 (2011) pp. 69 - 82
The study examines the ability of US EPA Models-3 system to reproduce air pollution episodes and to evaluate the role of different processes in the PM10 pattern formation. The case study focuses on three major PM10 episodes, that occurred over Germany in February and March of 2003. The emission input is prepared on the basis of the TNO inventory. The simulated PM10 concentrations are compared with measurements from the EMEP stations in Germany. The Integrated Process Rate Analysis function of CMAQ is applied for clarifying the role of different processes in forming PM10 concentration peaks.

]]> 10.1504/IJEP.2011.042609 International Journal of Environment and Pollution, Vol. 46, No. 1/2 (2011) pp. 69 - 82 Angelina Todorova; Georgi Gadzhev; Georgi Jordanov; Dimiter Syrakov; Kostadin Ganev; Nikolai Miloshev; Maria Prodanova Geophysical Institute, Bulgarian Academy of Sciences, Acad. G. Bonchev Str., Bl.3, Sofia 1113, Bulgaria. ' Geophysical Institute, Bulgarian Academy of Sciences, Acad. G. Bonchev Str., Bl.3, Sofia 1113, Bulgaria. ' Geophysical Institute, Bulgarian Academy of Sciences, Acad. G. Bonchev Str., Bl.3, Sofia 1113, Bulgaria. ' National Institute of Meteorology and Hydrology, Bulgarian Academy of Sciences, 66 Tzarigradsko Chausee, Sofia 1784, Bulgaria. ' Geophysical Institute, Bulgarian Academy of Sciences, Acad. G. Bonchev Str., Bl.3, Sofia 1113, Bulgaria. ' Geophysical Institute, Bulgarian Academy of Sciences, Acad. G. Bonchev Str., Bl.3, Sofia 1113, Bulgaria. ' National Institute of Meteorology and Hydrology, Bulgarian Academy of Sciences, 66 Tzarigradsko Chausee, Sofia 1784, Bulgaria air pollution numerical modelling PM10 process analysis air quality US-EPA Models-3 Germany. 2011-09-18T23:20:50-05:00 46 1/2 69 82 2011-09-18T23:20:50-05:00 http://www.inderscience.com/link.php?id=42610 A new approach for Sensitivity Analysis (SA) in the field of air pollution modelling is proposed and applied to the Unified Danish Eulerian Model (UNI-DEM), a large-scale air pollution model. The SA requires numerous model experiments with different values of the studied parameters. By simultaneous variation of these parameters we produce a set of multidimensional discrete functions. These huge computational tasks require extensive resources of storage and CPU time. A highly parallel implementation of UNI-DEM has been created for this purpose and implemented on two powerful supercomputers. Some details of this implementation and numerical results on these supercomputers are presented. Air pollution modelling, sensitivity analysis and parallel implementation
Tzvetan Ostromsky; Ivan Dimov; Rayna Georgieva; Zahari Zlatev
International Journal of Environment and Pollution, Vol. 46, No. 1/2 (2011) pp. 83 - 96
A new approach for Sensitivity Analysis (SA) in the field of air pollution modelling is proposed and applied to the Unified Danish Eulerian Model (UNI-DEM), a large-scale air pollution model. The SA requires numerous model experiments with different values of the studied parameters. By simultaneous variation of these parameters we produce a set of multidimensional discrete functions. These huge computational tasks require extensive resources of storage and CPU time. A highly parallel implementation of UNI-DEM has been created for this purpose and implemented on two powerful supercomputers. Some details of this implementation and numerical results on these supercomputers are presented.

]]> 10.1504/IJEP.2011.042610 International Journal of Environment and Pollution, Vol. 46, No. 1/2 (2011) pp. 83 - 96 Tzvetan Ostromsky; Ivan Dimov; Rayna Georgieva; Zahari Zlatev Department of Parallel Algorithms, Institute of Information and Communication Technologies, Bulgarian Academy of Sciences, Acad. G. Bonchev str., bl. 25-A, 1113 Sofia, Bulgaria. ' Department of Parallel Algorithms, Institute of Information and Communication Technologies, Bulgarian Academy of Sciences, Acad. G. Bonchev str., bl. 25-A, 1113 Sofia, Bulgaria. ' Department of Parallel Algorithms, Institute of Information and Communication Technologies, Bulgarian Academy of Sciences, Acad. G. Bonchev str., bl. 25-A, 1113 Sofia, Bulgaria. ' National Environmental Research Institute, Aarhus University, Frederiksborgvej 399, P.O. Box 358, DK-4000 Roskilde, Denmark sensitivity analysis Monte Carlo methods air pollution modelling parallel computing air quality UNI-DEM supercomputers. 2011-09-18T23:20:50-05:00 46 1/2 83 96 2011-09-18T23:20:50-05:00 http://www.inderscience.com/link.php?id=42611 The Unified Danish Eulerian Model (UNI DEM) is an appropriate model for investigating both the transport on long distances and the transformations in the atmosphere of pollutants, which are potentially harmful. This mathematical model was developed at the National Environmental Research Institute (NERI, Roskilde, Denmark). The spatial domain of the model covers Europe and some its neighbouring parts. The parallel code of UNI DEM is created by using the MPI standard library. It is highly portable and performs very efficiently on different kind of parallel computers. An IBM Blue Gene/P computer is used in this study. Studying air pollution levels in the Balkan Peninsula area by using an IBM Blue Gene/P computer
Krassimir Georgiev; Zahari Zlatev
International Journal of Environment and Pollution, Vol. 46, No. 1/2 (2011) pp. 97 - 114
The Unified Danish Eulerian Model (UNI DEM) is an appropriate model for investigating both the transport on long distances and the transformations in the atmosphere of pollutants, which are potentially harmful. This mathematical model was developed at the National Environmental Research Institute (NERI, Roskilde, Denmark). The spatial domain of the model covers Europe and some its neighbouring parts. The parallel code of UNI DEM is created by using the MPI standard library. It is highly portable and performs very efficiently on different kind of parallel computers. An IBM Blue Gene/P computer is used in this study.

]]> 10.1504/IJEP.2011.042611 International Journal of Environment and Pollution, Vol. 46, No. 1/2 (2011) pp. 97 - 114 Krassimir Georgiev; Zahari Zlatev Institute for Information and Communication Technologies, Bulgarian Academy of Sciences, Acad. G. Bonchev str. Bl 25-A, 1113 Sofia, Bulgaria. ' National Environmental Research Institute, Aarhus University, Frederiksborgvej 399, P.O. Box 358, DK-4000 Roskilde, Denmark environmental problems air pollution air quality mathematical modelling parallel computing high-performance computer architectures Balkan Peninsula UNI DEM. 2011-09-18T23:20:50-05:00 46 1/2 97 114 2011-09-18T23:20:50-05:00