Hydrogeological map of Lower Saxony 1 : 50 000 - Average monthly groundwater recharge 1971 - 2000 in May, method mGROWA22

Description

The map shows the average monthly groundwater recharge for the month of May in the 30-year period 1971-2000. Groundwater is a raw material that can regenerate and renew itself. The main supplier for the groundwater supply is rainwater that seeps into Lower Saxony. It ensures that the groundwater deposits of the storage rocks in the subsoil are replenished. Groundwater recharge is particularly high in winter, as a large proportion of precipitation seeps into the soil at this time. In the warmer seasons, however, a large part of the precipitation already evaporates on the surface or is absorbed by plants. Groundwater recharge is spatially very differently distributed. It depends on the distribution of precipitation and evaporation, the characteristics of the soil, the land use (growth, degree of sealing), the relief of the land surface, the artificial drainage by drainage, the groundwater level and the characteristics of the near-surface rocks. Since these parameters differ significantly in Lower Saxony, in some cases in the smallest of spaces, groundwater recharge is also subject to large lateral fluctuations. There are various methods for determining groundwater recharge. The available maps show the area-differentiated designation of the mean groundwater recharge, which was calculated using the mGROWA method (short for "monthly large-scale water balance"). The model mGROWA was developed for the large-scale simulation of the water balance at Forschungszentrum Jülich in cooperation with the LBEG (Herrmann et al. 2013) and methodologically updated for Lower Saxony since 2016. In addition, a number of new input data were used to provide an up-to-date data basis for water management planning work and permitting procedures under water law. Daily and monthly measured and subsequently spatially interpolated climate observation data from the German Weather Service were used as climatic input data. These are the potential evaporation calculated on the basis of the FAO grass reference evaporation (DWD, unpublished) and the precipitation based on the REGNIE product (Rauthe et al, 2013), which were corrected according to Richter (Judges, 1995). For better regionalization, the climatic input parameters precipitation and potential evaporation with bilinear interpolation were scaled down to a 100 x 100 m grid for mGROWA22.

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0 https://nibis.lbeg.de/net3/public/ogc.ashx?NodeId=1576&Service=WMS&Request=GetCapabilities&

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