Session 36 - Environmental data analysis and modelling

[CEST2019_00956] Spatial explicit evaluation of potential future developments of forests due to climatic change and nitrogen deposition
by Jenssen M., Nickel S., Schröder W.

Climate change and atmospheric nitrogen deposition can impact the integrity of ecosystems. Therefore, the EU Biodiversity Strategy foresees that Member States map and assess the state of ecosystems and their services in their national territory.

Session: 36, Room: F, at Fri, 09/06/2019 - 15:45 to 16:00
Oral presentation in Environmental data analysis and modelling
[CEST2019_00820] 50-year precipitation trends in Nestos Delta-Natura 2000 site
by Proutsos N., Korakaki E., Bourletsikas A., Karetsos G., Tsagari K., Georgiadis C.

Nestos Delta (north Greece) is a complex ecosystem of high ecological importance, protected by the European Union as a Natura 2000 site. The presence of the habitats 3170* and 91E0*, which are highly connected with water resources availability, impose the continuous monitoring of precipitation in the area, since even minor changes of the precipitation regime could have a significant effect on the habitats’ viability. Aim of this work is to detect significant precipitation changes by analyzing datasets from 5 nearby station for a time period of about 50 years.

Session: 36, Room: F, at Fri, 09/06/2019 - 16:09 to 16:12
Flash presentation in Environmental data analysis and modelling
[CEST2019_00828] Meteorological Data Science: exploiting causality discovery in time-series for knowledge discovery and improved forecasting
by Gkikas A., Maragoudakis M.

Climate change and its impact on everyday life still remains one of the greatest challenge of our era. The complex nature of climate data addresses the use of data science techniques to provide predictive analytics to the task at hand. While most existing approaches exploit correlation between observations and features to improve forecasting, the present work deals with causality, a principle that enhances robustness and provides better insight to domain experts. More specifically, a novel framework for causality discovery is proposed, based on statistical (i.e.

Session: 36, Room: F, at Fri, 09/06/2019 - 15:00 to 15:15
Oral presentation in Environmental data analysis and modelling
[CEST2019_00708] Performance Evaluation Of Mass Transfer-Based Method Using Global Performance Index In Semi-Arid Region Saudi Arabia
by Islam S., Abdullah R.A.B., Hirol H., Mallick J., Khan R.A.

The standard method for the estimation of reference evapotranspiration (ETo) is FAO-Penman-Monteith (FAO56-PM). However, it requires various climatic parameters which are often hard to achieve due to various reason. In order to bridge this gap an alternative equation has to be find out. The main aim of this research work was to assess the performance of the various mass transfer-based method with respect to standard FAO56-PM. Daily meteorological data from 1980 to 2018 has been used to compute reference evapotranspiration. Daily ETo values were computed.

Session: 36, Room: F, at Fri, 09/06/2019 - 15:30 to 15:45
Oral presentation in Environmental data analysis and modelling
[CEST2019_00486] Thermal bridge modelling, based on conjugated heat transfer and CFD methods
by Mijorski S., Ivanov M.

In the building structure, the “thermal bridge” is defined as an isolated zone, where construction elements have higher thermal conductivity, compared with the rest of the building envelope. Thus, a significant temperature difference may exist between adjacent solid and air volumes within the developments, especially in winter conditions. The existence of thermal bridge mostly affects the energy performance of buildings, due to the increased heat losses from the occupied spaces.

Session: 36, Room: F, at Fri, 09/06/2019 - 16:06 to 16:09
Flash presentation in Environmental data analysis and modelling
[CEST2019_00322] Environmental genotoxicity and risk assessment in herring (Clupea harengus), Atlantic cod (Gadus morhua) and flounder (Platichthys flesus) caught in the Gotland Basins from the Baltic Sea (2010-2017)
by Pažusienė J., Valskienė R., Stankevičiūtė M., Butrimavičienė L., Baršienė J.

Eight nuclear abnormalities of geno-cytotoxicity were studied in peripheral blood erythrocytes of herring (Clupea harengus membras), flounder (Platichthys flesus) and Atlantic cod (Gadus morhua) sampled (2010–2017) from the Polish and the Lithuanian Exclusive Economic Zones (EEZs) in the Baltic Sea. At all study stations, total genotoxicity (∑Gentox) were found to be higher than total cytotoxicity (∑Cytox). A significant time-related decrease in genotoxicity was detected in the Lithuanian EEZ (2015–2017), while in the Polish EEZ (2014–2016), the opposite tendency was revealed.

Session: 36, Room: F, at Fri, 09/06/2019 - 15:15 to 15:30
Oral presentation in Environmental data analysis and modelling
[CEST2019_00269] An integrated methodology to estimate the contribution of environmental factors controlling the spatial variation of total dissolved solids. Application on Jiu River Basin (Romania)
by Moroşanu G.A., Zaharia L., Ioana-Toroimac G.

Through this research, we aim to develop a methodology for estimating the contribution of the natural and anthropic factors to the spatial variation of Total Dissolved Solids (TDS). The study area is Jiu River Basin, a Danube tributary from SW Romania.

Session: 36, Room: F, at Fri, 09/06/2019 - 16:03 to 16:06
Flash presentation in Environmental data analysis and modelling
[CEST2019_00221] Species prioritization for recovery potential estimation. Case of study: Seasonally dry tropical forest at an inter Andean valley of Cauca River, South America
by Alvarado-Solano D.P., Otero J.T., Šarapatka B.

Seasonally dry tropical forest (SDTF) at the Colombian inter-Andean valley of Cauca River (IVCR) has been under constant transformation. Following the current SDTF’s global distribution, it has remained as small and sparse fragments embedded in an anthropogenic landscape. Information regarding the known species composition is a basic input in any modelling scheme. Environmental data is also needed to understand its influence as an explanatory variable for the species occurrences.

Session: 36, Room: F, at Fri, 09/06/2019 - 16:00 to 16:03
Flash presentation in Environmental data analysis and modelling