Details zur Publikation

Kategorie Textpublikation
Referenztyp Zeitschriften
DOI 10.5194/hess-15-2665-2011
Titel (primär) Derivation of groundwater flow-paths based on semi-automatic extraction of lineaments from remote sensing data
Autor Mallast, U.; Gloaguen, R.; Geyer, S. ORCID logo ; Rödiger, T.; Siebert, C. ORCID logo
Quelle Hydrology and Earth System Sciences
Erscheinungsjahr 2011
Department CATHYD
Band/Volume 15
Heft 8
Seite von 2665
Seite bis 2678
Sprache englisch
Abstract

In this paper we present a semi-automatic method to infer groundwater flow-paths based on the extraction of lineaments from digital elevation models. This method is especially adequate in remote and inaccessible areas where in-situ data are scarce. The combined method of linear filtering and object-based classification provides a lineament map with a high degree of accuracy. Subsequently, lineaments are differentiated into geological and morphological lineaments using auxiliary information and finally evaluated in terms of hydro-geological significance. Using the example of the western catchment of the Dead Sea (Israel/Palestine), the orientation and location of the differentiated lineaments are compared to characteristics of known structural features. We demonstrate that a strong correlation between lineaments and structural features exists. Using Euclidean distances between lineaments and wells provides an assessment criterion to evaluate the hydraulic significance of detected lineaments. Based on this analysis, we suggest that the statistical analysis of lineaments allows a delineation of flow-paths and thus significant information on groundwater movements. To validate the flow-paths we compare them to existing results of groundwater models that are based on well data.
dauerhafte UFZ-Verlinkung https://www.ufz.de/index.php?en=20939&ufzPublicationIdentifier=11509
Mallast, U., Gloaguen, R., Geyer, S., Rödiger, T., Siebert, C. (2011):
Derivation of groundwater flow-paths based on semi-automatic extraction of lineaments from remote sensing data
Hydrol. Earth Syst. Sci. 15 (8), 2665 - 2678 10.5194/hess-15-2665-2011