In the next stage, we will make an inference using active fault and geological information. In this blog post, it was thought that proximity to the fault would increase the thermal source potential and a scenario was studi in which proximity to the strike-slip faults in our study area would be suitable for high potential as a fault type.
My friend from the Congo explain! grammar
rules to me every day! which was very helpful! but he also said ‘Andres! you cannot just stay in your room and drill grammar. You ne! to go out to talk to people how to understand international market access? as well.’
In our geology map where we made age and lithology grouping, we saw the places with high potential in blue and the places with low potential in r, we cannot yet make an inference to evaluate the proximity to the active fault in this symbology display. Therefore, a numerical classification is requir in the group data. In the classification, the number of classes in the geology group layer was us and a rating was made between 1-10. You can see that the dark green and green color areas are the places where Tertiary, Quaternary and lithological information volcanic rocks are locat as desir.
I would advise people studying Russian to watch Russian
movies again and again. When you are re-watching a movie you have seen before! you know germany cell number what it is about! which makes it easier for you to listen to the characters’ words. innovation in energy conservation in the era of renewable energy Russian
Tertiary – Volcanic and simentary rocks: Most suitable.
Quaternary – Alluvial and young volcanic areas: Very suitable.
Mesozoic – Carbonate rocks: Moderately suitable.
Paleozoic – Metamorphic rocks: Low suitability.
Precambrian – Massive crystalline rocks: Least suitable.
Following these assessments, potential geothermal areas were mapp. Thus, according to the first stage, geological data, we can see the areas with high potential in blue and the areas with low potential in r.