2014
DOI: 10.1016/j.jseaes.2014.03.018
|View full text |Cite
|
Sign up to set email alerts
|

Evolution of neotectonic activity of East Anatolian Fault System (EAFS) in Bingöl pull-apart basin, based on fractal dimension and morphometric indices

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

0
6
0
2

Year Published

2015
2015
2023
2023

Publication Types

Select...
9

Relationship

1
8

Authors

Journals

citations
Cited by 16 publications
(8 citation statements)
references
References 56 publications
0
6
0
2
Order By: Relevance
“…Morphometric analyses of river networks, drainage basins and relief using geomorphic indices, as well as geostatistical analyses of topographical data (Troiani et al, 2012), have become useful tools for investigating landform evolution. However, the interpretation of geomorphic indices, such as the identification of processes that cause anomalous index values, is often problematic because the same process can cause different anomalies, and the same anomaly can be explained by different processes (Keller and Pinter, 2002;Pedrera et al, 2009;Sarp and Duzgun, 2012;Sarp, 2014). The spatial analysis of morphometric indices is a valuable tool for evaluating the tectonic activity of the regions.…”
Section: Introductionmentioning
confidence: 99%
“…Morphometric analyses of river networks, drainage basins and relief using geomorphic indices, as well as geostatistical analyses of topographical data (Troiani et al, 2012), have become useful tools for investigating landform evolution. However, the interpretation of geomorphic indices, such as the identification of processes that cause anomalous index values, is often problematic because the same process can cause different anomalies, and the same anomaly can be explained by different processes (Keller and Pinter, 2002;Pedrera et al, 2009;Sarp and Duzgun, 2012;Sarp, 2014). The spatial analysis of morphometric indices is a valuable tool for evaluating the tectonic activity of the regions.…”
Section: Introductionmentioning
confidence: 99%
“…Clásicamente, los análisis de perfiles fluviales se han centrado en la incidencia de procesos geomorfológicos extensos, de frecuente repercusión regional (Hack, 1957(Hack, , 1973Whipple, 2001Whipple, , 2004Ollarves y Audemard, 2004;Whipple et al, 2011;Chen et al, 2006;Bishop, 2007;Troiani y Della Seta, 2008, 2011Monteiro et al, 2010;Vágó, 2010;Castillo y Lugo-Hubp, 2011;Demoulin, 2011;Capó y García, 2014;Sarp, 2014). Sin embargo, al analizar una extensa superficie con perfiles de corto recorrido como son los cauces que surcan buena parte del sector septentrional del mar de Alborán, es posible descubrir que el factor escalar de los efectos es destacable; tanto es así, que Demoulin (2011) propuso un índice relacionando longitud y logaritmo del área de drenaje.…”
Section: Discussionunclassified
“…Los estudios sobre aspectos geomorfológicos de la superficie terrestre podrían ayudar a caracterizar, cuantificar y obtener conclusiones válidas sobre la evolución de los sistemas fluviales (Strak et al, 2011) y su posterior gestión como recurso natural dentro de la ordenación del territorio (Rodrigo-Comino y Senciales, 2015). Índices como los de Green (1934), Shulits (1941), ∫ Hb (Strahler, 1952), relación ancho-alto de valles (Bull & McFadden, 1977), concavidad del curso H max y E q (Demoulin, 1998), función hidrológica y razones de temporalidad (Rodríguez-Rodríguez, 2007;Rodríguez-Rodríguez et al 2010), o las dimensiones fractales (Sarp, 2014) han sido diseñados como ejemplos útiles para este propósito.…”
Section: Introductionunclassified
“…Lithological information was taken from Altınlı (1963) and the geological map was updated by using 1/500.000 scale Geological Map of Turkey, Erzurum Sheet. Some of the information regarding faults was taken from investigations carried out by MTA (Emre et al, 2012;Duman et al, 2012) and of some from geological studies carried out in the region (Çetin et al, 2003;Aksoy et al, 2007;Sarp, 2014). Especially the faults between Palu and Bingöl were determined based on satellite images, DEM data and geomorphological observations.…”
Section: Methodsmentioning
confidence: 99%