• Spatial data analysis and inte...

Treffer: Spatial data analysis and integration for regional-scale geothermal potential mapping, West Java, Indonesia

Title:
Spatial data analysis and integration for regional-scale geothermal potential mapping, West Java, Indonesia
Authors:
CARRANZA, Emmanuel John M, WIBOWO, Hendro, BAWITT, Sally D, SUMINTADIREJA, Prihadi
Source:
Indonesian geothermal prospects and developmentsGeothermics. 37(3):267-299
Publisher Information:
Oxford: Elsevier Science, 2008.
Publication Year:
2008
Physical Description:
print, 4 p.1/2
Original Material:
INIST-CNRS
Subject Terms:
Energy, Énergie, Geology, Géologie, Geophysics, Géophysique, Sciences exactes et technologie, Exact sciences and technology, Terre, ocean, espace, Earth, ocean, space, Sciences de la terre, Earth sciences, Géologie de l'ingénieur et de l'environnement. Géothermie, Engineering and environment geology. Geothermics, Géothermie, Geothermics, Roche ignée, igneous rocks, Roca ignea, Centre volcanique, volcanic centers, Distribution spatiale, spatial distribution, Distribución espacial, Epicentre, epicenters, Epicentro, Faille, faults, Quebrado, Fréquence spatiale, spatial frequency, Prospection, exploration, Prospección, Ressource, resources, Roche volcanique, volcanic rocks, Roca volcánica, Réduction, reduction, Source, springs, Fuente, Système information géographique, geographic information systems, Séisme, earthquakes, Sismo, Evidential belief functions, Fry analysis, Geographic Information Systems (GIS), Gravity lows, Indonesia, Spatial association analysis, West Java
Subject Geographic:
Asie, Asia, Extrême Orient, Far East, Extremo Oriente, Indonésie, Indonesia, Java
Document Type:
Fachzeitschrift Article
File Description:
text
Language:
English
Author Affiliations:
Deparrment of Earth Systems Analysis, International Institute for Geo-information Science and Earth Observation (ITC), Enschede, Netherlands
Laboratory of Volcanology and Geothermal, Geology Department, Institute of Technology Bandung (ITB), Bandung, Indonesia
ISSN:
0375-6505
Access URL:
http://pascal-francis.inist.fr/vibad/index.php?action=search&terms=20521831
Rights:
Copyright 2008 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Earth sciences
Accession Number:
edscal.20521831
Database:
PASCAL Archive

Weitere Informationen

Conceptual modeling and predictive mapping of potential for geothermal resources at the regional-scale in West Java are supported by analysis of the spatial distribution of geothermal prospects and thermal springs, and their spatial associations with geologic features derived from publicly available regional-scale spatial data sets. Fry analysis shows that geothermal occurrences have regional-scale spatial distributions that are related to Quaternary volcanic centers and shallow earthquake epicenters. Spatial frequency distribution analysis shows that geothermal occurrences have strong positive spatial associations with Quaternary volcanic centers, Quaternary volcanic rocks, quasi-gravity lows, and NE-, NNW-, WNW-trending faults. These geological features, with their strong positive spatial associations with geothermal occurrences, constitute spatial recognition criteria of regional-scale geothermal potential in a study area. Application of data-driven evidential belief functions in GIS-based predictive mapping of regional-scale geothermal potential resulted in delineation of high potential zones occupying 25% of West Java, which is a substantial reduction of the search area for further exploration of geothermal resources. The predicted high potential zones delineate about 53-58% of the training geothermal areas and 94% of the validated geothermal occurrences. The results of this study demonstrate the value of regional-scale geothermal potential mapping in: (a) data-poor situations, such as West Java, and (b) regions with geotectonic environments similar to the study area.