2007
DOI: 10.1016/j.cageo.2006.11.006
|View full text |Cite
|
Sign up to set email alerts
|

GIS model for geothermal resource exploration in Akita and Iwate prefectures, northern Japan

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

1
40
0

Year Published

2011
2011
2024
2024

Publication Types

Select...
5
2

Relationship

0
7

Authors

Journals

citations
Cited by 81 publications
(49 citation statements)
references
References 10 publications
1
40
0
Order By: Relevance
“…For prospect area mapping around faults, the buffer zone was considered for each fault system, for instance, 6000 m for largest faults [4], 2000 m for active faults, and 1000 m for secondary fault system to cover the entire possible prospect areas for geothermal around the fault systems. Then the union was used to combine prospect areas around fault systems.…”
Section: A Fault Systemsmentioning
confidence: 99%
See 2 more Smart Citations
“…For prospect area mapping around faults, the buffer zone was considered for each fault system, for instance, 6000 m for largest faults [4], 2000 m for active faults, and 1000 m for secondary fault system to cover the entire possible prospect areas for geothermal around the fault systems. Then the union was used to combine prospect areas around fault systems.…”
Section: A Fault Systemsmentioning
confidence: 99%
“…Fig. 3 shows the volcanic rocks and their 2000 m [4] buffer zone area with geological ages and the 5000 m areas around the volcanic points. C. Intrusive Rocks Intrusive, plutonic, or igneous are the active young underground magmatic bodies or heat sources that cool down slowly.…”
Section: B Volcanic Rocks and Pointsmentioning
confidence: 99%
See 1 more Smart Citation
“…The methodologies used by Noorollahi et al (2007) and by Yousefi et al (2007) are quite similar and belong to the first group of studies. The datasets used in the analysis consist of geological, geochemical and geophysical information.…”
Section: Data Integration For Targeting Promising Areas and Well Sitesmentioning
confidence: 97%
“…The final geothermal favourability map is then created by weighted overlay. Noorollahi et al (2007) also presents a distance relationship analysis to determine the predominant distance between actual geothermal wells and interesting geological features (such as faults or hot springs) represented in a GIS layer.…”
Section: Data Integration For Targeting Promising Areas and Well Sitesmentioning
confidence: 99%