Estimation of Shallow Groundwater Recharge Using a Gis-Based Distributed Water Balance Model

Graf, Renata; Przybyłek, Jan

doi:10.2478/quageo-2014-0027

Cited by 23 publications

(9 citation statements)

References 19 publications

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“…High values of evapotranspiration were observed in the summer season than the winter season as illustrated in (Fig. 8) which is related to the high rainfall amount, duration and intensity during this season compared to the dry season [2,21,22,23]. Understanding the water balance of a given watershed is important for water budgeting and pricing purpose to conserve the resource for sustainable utilization on the area and to implement integrated watershed…”

Section: Water Balance Components Estimatedmentioning

confidence: 99%

Water Balance Estimation Using Integrated GIS-Based WetSpass Model in the Birki Watershed, Eastern Tigray, Northern Ethiopia

Meresa

Girmay

Gebremedhin

2019

PSIJ

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This study aims to estimate long-term average annual and seasonal water balance components for Birki watershed using WetSpass model with the integrated geospatial modeling approach with ten years’ hydro-meteorological and biophysical data of the watershed. Both primary and secondary data were collected using both field survey and disk-based data collection methods. The WetSpass model was used for data analysis purposes. The finding showed that in the summer season the annual groundwater recharge is 24.1 mm year-1 (96.5%), winter season mean groundwater recharge is 0.8 mm year-1 (3.5%) and yearly mean groundwater recharge is 24.9 mm year-1, Surface runoff yearly mean value is 40.6 mm year-1, Soil evaporation yearly mean value is 10.8 mm year-1, Evapotranspiration yearly mean value is 60.8 mm year-1, Intersection loss yearly mean value is 17 mm year-1, and Transpiration loss yearly value is 6.8 mm year-1 in the entire watershed. The mean annual precipitation, which is 573 mm, is contributed to 7.4%, 7.1% and 85.5% recharge to the groundwater, to surface runoff, and evapotranspiration, respectively. Annually 1.1205 million m3 water recharges into the groundwater table as recharge from the precipitation on the entire watershed. The contribution of this study could be used as baseline information for regional water resource experts, policy makers and researchers for further investigation. It can also be concluded that integrated WetSpass and GIS-based models are good indicators for estimating and understanding of water balance components in a given watershed to implement an integrated watershed management plan for sustainable utilization and sustainable development.

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Section: Water Balance Components Estimatedmentioning

confidence: 99%

Water Balance Estimation Using Integrated GIS-Based WetSpass Model in the Birki Watershed, Eastern Tigray, Northern Ethiopia

Meresa

Girmay

Gebremedhin

2019

PSIJ

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“…Detailed descriptions of source materials and studies of spatial data for the WetSpass model have been presented by Batelaan [1] and Batelaan & De Smedt [2], and in many works with reference to conditions existing in Poland [14,[21][22][23]25].…”

Section: Area Of Research and Source Materialsmentioning

confidence: 99%

“…In the summer season, when precipitation is greater than in the winter semi-annual period (frequently by some 50%) and air temperature increases, a reduction of effective infiltration in relation to the annual value is observed (Table 2). A decrease in or indeed the complete lack of infiltrative supply of groundwater in the summer is particularly noticeable in zones where these waters drain into the valley (zones of valley depressions), which is connected with the high transpiration of plants in areas with a shallow water level [2,5,23].…”

Section: Components Of Thementioning

confidence: 99%

“…The results of the modelling of components of the water balance on a regional and local scale utilising the WetSpass model have found application in research into the state of water resources and the forecasting of changes occurring therein under the influence of climatic factors and anthropogenic pressure. The WetSpass model was used, among others, in research on the water balance in the catchment areas of European rivers [1,14,[21][22][23][24][25], and also in catchment areas located in hot and dry climate zones [26][27][28][29]. The results of model-based research that utilises WetSpass may constitute a significant element of the system for managing and protecting water resources in a catchment area, especially in strongly urbanised areas that are subject to dynamic changes in spatial development.…”

Section: Introductionmentioning

confidence: 99%

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The Impact of the Parameterisation of Physiographic Features of Urbanised Catchment Areas on the Spatial Distribution of Components of the Water Balance Using the WetSpass Model

Graf

Jawgiel

2018

IJGI

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An analysis was conducted of the activity of individual homogeneous Hydrological Response Units (HRUs) and their impact on the components of the spatially distributed water balance based on the example of two urbanised catchments of the city of Poznań (Western Poland). Water balance was developed using the WetSpass model and GIS spatial data, based on hydrometeorological data from the reference period of 1961–2000 including projected land usage changes and precipitation changes expected by 2025 in the city. The catchments were parameterised with reference to land usage, soil permeability, terrain declivities and the level of groundwater waters in summer and winter. The dependence between HRUs and their impact on components of the water balance was determined. Water balance forecasts have shown two-way changes in the components of approximately 12% of the catchments. A significant increase of surface runoff (an increase of 20–30 mm/HRU) at the expense of effective infiltration reduction (by 15–20 mm/HRU) was determined for arable land intended for development. An increase of infiltration and evapotranspiration at the expense of the surface runoff reduction is forecast for areas designed for urban afforestation. The tendency of increase of atmospheric precipitation within the city until 2025 was indicated by changes in the water balance components. Changes in the landscape resulting from urban expansion may lead to detrimental hydrological effects: accumulation of surface runoffs and occurrence of local flash flooding, as confirmed by the simulations carried out using the WetSpass model. The results may contribute to a more accurate understanding of the impact of urban landscape modification patterns on the water balance at the regional and local scale.

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“…It was initially designed to perform modeling within the borders of a catchment. It also proved useful for the evaluation of water balance in areas that are not catchments: in the Gaza Strip (Aish et al 2010;Aish 2014), Poznan Plateau (Graf and Przybyłek 2014), the Delta of the Nile (Armanuos et al 2016) and Western Pomerania (Kajewska-Szkudlarek et al 2017). Numerous authors have used the WetSpass model to evaluate the influence of climate and land-use changes on specific elements of the water balance.…”

Section: Introductionmentioning

confidence: 99%

Groundwater recharge assessment in dry years

et al. 2019

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The climate change that has been observed in recent years has affected the water balance, including the groundwater resources recharge. The paper is an attempt to evaluate the groundwater recharge in dry years. The initial stage of the research consisted of selecting the years when meteorological and hydrological droughts occurred, with use of the standardized indices Standardized Precipitation Index (SPI) and Standardized Water Level Index (SWI). With the use of the WetSpass model for selected periods and for comparative long-term periods the volume of groundwater recharge was estimated. It was determined that the meteorological drought of 1982 led to a considerable decrease in the mean groundwater recharge to a negative level in the summer half-year in the Western Pomeranian region in Poland. On the other hand, the winter season was characterised by positive values, but they were still lower than those characteristic for the comparative long-term periods. The hydrological drought in 1992 did not have such noticeable consequences.

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Estimation of Shallow Groundwater Recharge Using a Gis-Based Distributed Water Balance Model

Cited by 23 publications

References 19 publications

Water Balance Estimation Using Integrated GIS-Based WetSpass Model in the Birki Watershed, Eastern Tigray, Northern Ethiopia

Water Balance Estimation Using Integrated GIS-Based WetSpass Model in the Birki Watershed, Eastern Tigray, Northern Ethiopia

The Impact of the Parameterisation of Physiographic Features of Urbanised Catchment Areas on the Spatial Distribution of Components of the Water Balance Using the WetSpass Model

Groundwater recharge assessment in dry years

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