Time filter

Source Type

Panagopoulos A.,Land Reclamation Institute | Arampatzis G.,Land Reclamation Institute | Kuhr P.,Land Reclamation Institute | Kunkel R.,Forschungzentrum Juelich GmbH | And 2 more authors.
Global Nest Journal | Year: 2015

GROWA is a modular grid based empirical hydrological model that is being used to address practical water resources management related issues. It has been successfully applied in typical hydrological and hydrogeological setups of northern European basins ranging typically between meso-scale river basins of about 1000 km2 to entire States or river catchments of 100,000 km2 or more. This paper examines the applicability of this model in a typical southern European environment where the typical water resources management pattern and also the controlling hydrodynamic evolution patterns differ considerably. As such, the River Pinios basin in central Greece, which has a spatial extent of some 11.000km2, is studied. Model compilation was based on long-term average climatic and hydrological data for a reference period of 23 years (1980-2002) and validation performed against 12 river discharge gauging stations distributed in the study basin. Specific discrepancies that were denoted are attributed to the importance of secondary processes in the evolution of the studied system (e.g. overall water use, groundwater crossflows). It is concluded that prior to model recalibration efforts special attention should be given to the inclusion of such processes (water gains and losses) into the model runs. Total runoff and groundwater recharge should consequently be linked to the overall water use and secondary inputs before they are used for strategic water resources management. Overall, GROWA was successfully applied in this typical Mediterranean Basin, despite the totally different climatic, pedological, hydrological and hydrogeological conditions for which it was originally designed and tested. © 2015 Global NEST. Source

Panagopoulos A.,Land Reclamation Institute | Arampatzis G.,Land Reclamation Institute | Tziritis E.,Land Reclamation Institute | Pisinaras V.,Land Reclamation Institute | And 3 more authors.
Desalination and Water Treatment | Year: 2014

In order to assess the potential impacts of climate change in the hydrologic regime of River Pinios Basin, an area-differentiated model for total run-off (Qt) estimation based on the GROWA model was applied with bias-corrected precipitation and temperature data from four regional climate models (RCMs) for the projected periods 2020–2050 (period A) and 2050–2080 (period B). Bias correction was performed using the linear scaling approach. As a reference basis, monthly precipitation data from 57 meteorological stations and average temperature data from 17 stations were analyzed for the period 1980–2000. Relative assessments were achieved by comparing reference to projected periods values for Qt, after incorporating bias-corrected projected climate data from the four RCMs driven by several general circulation models (GCMs) as input data to the hydrological model. Results showed that all RCM–GCM combinations lead to a considerable decrease in total run-off with variable rates between the examined projected periods; the greatest reduction of Qt (62%) from the reference period was forecasted for period A (2020–2050), and was simulated when GROWA model ran with input data from HIRHAM5 model driven by ARPEGE GCM, which indicated greater decrements in precipitation and increments in temperature. Regarding the estimations of total run-off for the end of the projected periods (2080) with simulated climatic data input from HIRHAM–ARPEGE, RACMO–ECHAM5 and REMO–ECHAM5 RCM–GCM combinations, a significant adverse impact to the overall water budget is forecasted, as the total amount of Qt is decreased from 46 to 66%. On the contrary, when Qt was simulated with climatic data from RCA4 RCM driven by HadCM3, smoother rates were exhibited due to smaller variations of precipitation and temperature from the reference period and the relevant Qt reduction by the end of the projection (2080) is 22%. © 2014 Balaban Desalination Publications. All rights reserved. Source

Discover hidden collaborations