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ESTIMATION OF GROUNDWATER RECHARGE DISTRIBUTION USING GIS BASED WETSPASS MODEL IN THE CUN-SZAPORCA OXBOW, HUNGARY

Ali Salem

Abstract

Assessment of spatial and temporal distribution of groundwater recharge is critical for long-term water resource management and planning. The spatial distribution of groundwater recharge depends on the climate conditions, topography, slope, soil textural, land cover, and distributed groundwater depth. In this paper, the monthly steady-state water balance model, WetSpass-M, was applied to estimate the groundwater recharge in the Cun-Szaporca oxbow of Drava floodplain, Hungary. The model inputs data are prepared in the form of a digital maps including (Precipitation, temperature, wind speed, potential evapotranspiration, soil, land cover, elevation, slope) Using Geographic Information Systems (GIS) tool. The outputs of WetSpass-M model are presented as digital maps of long-term average monthly groundwater recharge, actual evapotranspiration, and surface runoff. The long-term temporal and spatial average monthly precipitation of 62.3 mm was distributed as 47.7 % of groundwater recharge, 27.9 % of evapotranspiration, and 24.4 % of surface runoff. Analysis of the simulated results reveals that WetSpass-M model works well to evaluate the water balance components of the investigated area. The obtained findings in this paper can be taken as a basic investigation for developing groundwater model in this region.

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DOI resolver: doi.org/10.5593/sgem2019/3.1/s12.022

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