Estimation of annual water balance is critical for water management and developmental
planning in the area of Anthemountas river basin. In the framework of
LIFE04/ENV/GR/000099 project and in continuance to prior projects in the area, the
average annual water balance was estimated using the annual precipitation and water
consumption. The statistic relationship between elevation and precipitation measured at
different stations in the greater area, was applied to the Digital Elevation Model (DEM)
(accuracy 20X20m) and the spatial distribution of annual precipitation is calculated for
the Anthemountas river basin. Consumption of underground water was analytically
calculated based on the different types of agricultural activities as annually reported by
the Ministry of Agriculture. The Domestic water consumption was also calculated.
Evaportranspiration is estimated analytically using two different methods (Thorthwaite’s
and Turk’s). Both methods gave similar results.
Moreover the spatial distribution of infiltration and runoff coefficients were calculated
taking into consideration the different geological features, since they determine the
maximum value of the infiltration coefficient, and the CORINE land coverage
classification assuming no infiltration at builded areas. All the above were calculated and
presented in raster format using the ESRI ArcGIS 9 environment.
The correlation between the negative water balance and the drop of the underground
water level, as this was pictured through underground water level measurements in the
past decade, was discussed and evaluated. To further understand the relationship
between the negative water balance and the spatial distribution of the underground
water level drop, the most consuming wells in the Anthemountas river basin are
distributed and categorized based on consumption estimates.
Future work should assess more precise land coverage dataset in order to produce
spatial distribution of evaportranspiration. At the same time, precise precipitation
datasets, that will be produced by the meteorological monitoring network, that is to be
established in the LIFE04/ENV/GR/000099 project framework, will provide more
accurate estimates of precipitation distribution. This will lead to the determination of
more accurate estimates for both infiltration and runoff in the basin. Data monitoring,
assessment and water balance estimation are valuable tools in a step-by-step
procedure towards the achievement of sustainable use of water in the river basin of
Anthemountas.
Long-term annual water balance analysis of the Lena River
