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Book of Abstracts 2018.Pdf Faculty of Environmental Science and Engineering DISASTER RISK REDUCTION FOR SUSTAINABLE SOCIETIES 12th International Conference Environmental Legislation , Safety Engineering and DIsaster MAnagement ELSEDIMA 2018 17-19 MAY 2018 CLUJ-NAPOCA BOOK OF ABSTRACTS eISBN 978-606-8887-27-2 BIOFLUX Cluj-Napoca 2018 All abstract authors, and on behalf of their Co-Authors, have given permission for their abstract to be used in the context of the ELSEDIMA 2018 Conference, including in this Book of Abstracts. The entire responsibility regarding the abstracts belongs to the authors. DEVELOPMENT OF ALGORITHMS FOR NEAR REAL TIME WARNING ON THE ATMOSPHERIC POLLUTION EVENTS MARIANA ADAM, MIHAI BOLDEANU, VICTOR NICOLAE, SIMONA ANDREI National Institute for R&D in Optoelectronics INOE 2000 Str. Atomistilor Nr. 409 Magurele Ilfov 077125 Romania ABSTRACT The current study is part of the research aiming to setup a warning system over atmospheric pollution events based on observations by remote sensing instruments. In the first stage, level zero data from an operational CHM15k ceilometer (Lufft) which works continuously is used to a) read error codes from instrument raw data file in order to monitor instrument’s parameters if any of them is outside the range of well-functioning, a warning is sent to the person responsible for ceilometers in order to take action and remedy the problem| b) create quick looks of Range Corrected Signals (RCS) and visualize on INOE website in NRT (15 min) along with other instruments. These images represent a time-range visualization of the backscatter laser power, which bring information about atmospheric structure and composition (molecules, aerosols and clouds). In the second stage, an algorithm of detecting layers of atmospheric pollution is developed. Once operational, when a pollution layer is observed, an automatic warning will be sent to specific scientists (c). Then, the data from a photometer (available on Aeronet site) is checked as well as the image/information from an all-sky-imager. If large values for AOD (aerosol optical depth) are observed while the sky imager reveals a potential pollution overcast, a warning is sent to specific scientists (d). The next step implies the switch on continuous measurements of the relevant research instruments (e.g. multi-wavelengths Raman lidar) (e). Please note that, in cases when pollution events may be entrained in the PBL (Planetary Boundary Layer), the operational insitu instruments will be monitored as well. Further steps in pollution quantification will be approached by using the retrievals of the aerosol optical properties using the multi- wavelength Raman lidar which provides information on aerosol typing. Under specific assumptions, mass concentration can be evaluated. This stage will be developed on research mode while the NRT option is exploited. The current status of the steps within the two stages is presented during conference. We aim to be able to reach step (c) in two-three months while the entire process shall be ready by November 2018. The steps d) and e) will be initially human based but the automatization is envisaged (at least for d)). Please note that two CHM15k ceilometers were deployed at INOE in February 2018. The solar and lunar photometers are operational for several years now while the all-sky-imager is operational since 2017. SUPPORT TOOLS FOR LAND USE POLICIES BASED ON HIGH RESOLUTION REGIONAL AIR QUALITY MODELLING NICOLAE AJTAI 1, HORATIU STEFANIE 1, CAMELIA BOTEZAN 1, ALEXANDRU OZUNU 1, ANDREI RADOVICI 1, RODICA DUMITRACHE 2, AMALIA IRIZA-BURCĂ 2, ANDREI DIAMANDI 2, MARCUS HIRTL 3 1 Babeş-Bolyai University, Faculty of Environmental Science and Engineering, 30 Fantanele, Cluj-Napoca, Romania, 2 National Meteorological Administration, 97, Sos. București-Ploiești, Sector 1, Bucharest Romania, 3 Zentralanstal für Meteorologie und Geodynamik, Hohe Warte 38, 1190 Vienna, Austria Email: [email protected], [email protected], [email protected] [email protected], [email protected], [email protected], [email protected], [email protected] *Corresponding author: [email protected] ABSTRACT Air pollution is becoming a stringent issue, especially in large urban agglomerations like Bucharest, Romania. National and European air quality regulations are focusing on enforcing emission and imission limit values, but there is a poor correlation between air quality policies and land use policies, both critical to urban development. The current study focuses on the integration of high resolution regional air quality modelling data for key pollutants like PM10, SO2 and NO2 with land use datasets. This approach is based on two major tools: the Urban Atlas Project’s land use classes and the WRF-Chem air quality model. Through overlay analysis of the air quality model output and land use datasets, it is possible to derive two major types of information: 1. the land use area and classes exposed to certain pollutant concentration intervals and 2. the variability of the exposed land use classes according to the air pollutants source – receptor dynamics. Results are presented in the form of two case studies from September 2014 for Bucharest, Romania. In the first case study, three PM10 classes were set up in order to demonstrate the possibility to identify land use classes exposed to certain intervals of PM10 concentrations and their extent. The second case study focuses on the land use classes and their extent exposed to SO2 and NO2 concentrations in two different meteorological scenarios during two days in September 2014. This approach could be used by policy makers in the decision making process, providing them with more informed decisions regarding future destinations of different land categories taking into account air pollution data. This study also opens the way for future air quality satellite data (ESA Sentinel 5-P and 5), with resolutions similar to the air quality model outputs to be used in land use planning and policy development purposes. Keywords: land use classes, atmospheric pollution, air quality modelling MAPPING INDOOR AIR POLLUTION DURING SUBWAY TRANSPORT IN LILLE, NORTHERN FRANCE LIDIA-MARTA AMARANDI 1, FLORIN UNGA 2, IOANA-ELISABETA POPOVICI 2, 3, PHILIPPE GOLOUB 2, MARIE CHOËL 4, MARIUS- MIHAI CAZACU1, 5, SILVIU GURLUI 1 1 Alexandru Ioan Cuza University of Iasi, Faculty of Physics, Atmosphere Optics, Spectroscopy and Lasers Laboratory, 700506 Iasi, Romania 2 Univ. Lille, CNRS, UMR8518 – LOA – Laboratoire d'Optique Atmosphérique, 59000 Lille, France 3 CIMEL Electronique, 75011 Paris, France 4 Univ. Lille, CNRS, UMR8516 – LASIR – Laboratoire de Spectrochimie Infrarouge et Raman, 59000 Lille, France 5 Gheorghe Asachi Technical University of Iasi, Department of Physics, 700050 Iasi, Romania ABSTRACT Networks of fixed located monitoring stations assess the air quality and pollution levels, which are well standardized at the international level. However, there is limited information concerning the indoor air pollution inside frequently used subway system. Such studies are usually done during specific measurements field campaigns with the aim of mapping the air quality and pollution levels underground. In our work, we investigate particulate matter concentrations of various size fractions, namely PM10, PM2.5, and PM1 by on-board measurements inside 42 metro stations and during transportation within them, in Lille metropolis, northern France. The instruments used for determining PM concentrations were a low-cost sensor (OPC-N2, Alphasense) and an optical particle counter (miniWRASTM, Grimm Aerosol Technik GmbH). We found that PM10 concentrations during transportation varied between 30 and 100 µg/m3 and were 3 to 10 times higher than outdoor of the subway platform (~ 10 µg/m3). We also observed an increase in number concentrations of ultrafine particles during transport in the subway train compared to outdoor measurements. On-board measurements indicate that human exposure to particulate pollutants can be quite variable depending on the number of people (e.g. crowded at rush hours, deserted at off-peak times) and on the confinement space (e.g. indoor on subway platform, indoor in subway train, outdoor urban area). Real-time monitoring of air quality in busy underground environment and publicly available information would be of real use. Keywords: PM, mass concentration, on-board measurements, underground, low-cost sensors THE ASSESSMENT OF MINERAL DUST AS A PRECURSOR FOR CONVECTIVE CLOUDS WITH HAIL IN SOUTH-EASTERN EUROPE S. ANDREI 1, B. ANTONESCU 1, ALEX DANDOCSI 1, 2, F. ŢOACĂ 1, A. NEMUC 1, M. BOLDEANU 1, D. NICOLAE 1 1 National R&D Institute for Optoelectronics 2 University Politehnica of Bucharest, Faculty of Applied Sciences ABSTRACT It is unanimous recognized that mineral dust particles play a major role as cloud condensation nuclei (CCN) and ice nuclei (IN) activation during the cloud formation. Also, the long range transport of dust allows the contribution of dust aerosols in cloud processes away from the source areas. Several studies have demonstrated that the atmospheric environments contaminated with mineral dust aerosols could produce systematically enhancements of convective clouds. Although these experiments had emphasized the influence of dust intrusions on atmospheric stability with focus on deep convection and precipitation enhancement and/or suppression, important convection- related events such as hailfalls were not studied yet. However,
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