A machine learning approach for mapping the very shallow theoretical geothermal potential

Geothermal Energy

Science – Society – Technology

Table 6 Aquifer productivity [PRODUCTIV] categories in GK500 dataset

Description	\(N_{\text {GK500}}\)	Area (\(\text {km}^{2}\))
Barely exploitable, usually in fine sands	250	508.32
Surface water	250	1377.6
Glacier, Neve	377	866.28
Not locally or barely exploitable	2930	10,816.72
Not very productive	2461	9197.0
Not very productive, in the moraines	2263	6507.36
Productive, variable or low productivity	1796	6144.08
Variable productivity	484	1411.32
Variable productivity in loamy gravels	956	1321.08
Usable saturated area for a depth of 10 to 20 m	284	771.68
Usable saturated area for a depth of 2 to 10 m	1112	2061.04
Usable saturated area for a depth of more than 20 m	157	471.56

\(N_{\text {GK500}}\) is the number of polygons for each category and Area is the total area spanned by all polygons of the category