Assessment of Neotectonic Landscape Deformation in Evia Island, Greece, Using GIS-Based Multi-Criteria Analysis

Abstract

This study deals with the assessment and mapping of neotectonic landscape deformation in the northern part of the Evia Island (Central Greece). Multi-Criteria Decision Analysis (MCDA) utilizing Analytic Hierarchy Process (AHP) and Weighted Linear Combination (WLC) procedures were conducted for the calculation of the Neotectonic Landscape Deformation Index (NLDI). The study is based on the combination of morphotectonic, geomorphological and geological parameters. The GIS-based spatial MCDA led to the classification of the study area into five classes of neotectonic deformation (from very low to very high) and to a neotectonic deformation map. The results were compared with the outputs of a relative tectonic activity classification approach based on quantitative geomorphic analysis at a regional scale, including site-specific field observations. Areas of high and very high deformation are related to the major active faults of Dirfis, Kandili and Gregolimano–Telethrio. Other minor active normal faults of medium to high seismic risk level, affecting the northern and northeastern parts of the island, are also associated with areas of intense landscape neotectonic deformation.

Geological Approach for Landfill Site Selection: A Case Study of Vršac Municipality, Serbia

“…In the past, analytic hierarchy process (AHP) was one of the useful methodologies in landfill selecting, because it allows group decision making, where group members can use their experience, values, and knowledge to break down a problem into a hierarchy [69,70]. The role of the AHP is to deconstruct a problem, in a hierarchical context, at a level where the data are compared in pairs in order to assess the weight of each, at the next level [71]. On the other hand, in recent studies, many authors try to integrate GIS and fuzzy multicriteria decision analysis (FMCDA) based on a spatial decision support system (SDSS) for waste management [72][73][74][75][76][77][78].…”

Landscape response to deformation in the Sabalan area, NW Iran: Inferred from quantitative morphological and structural analysis

“…Landscape topography generally reflects the balance between tectonic processes (e.g., rock uplift and active faulting) and erosional processes, which are mainly caused by the climate and lithology. Morphotectonic investigations and quantitative geomorphic analyses might therefore allow us to constrain the relative differences in the rates of rock uplift and thus increase our understanding of active tectonics (e.g., Kirby & Whipple 2001Wobus et al 2006;Whittaker & Boulton 2012;Ahmad et al 2018;Saber et al 2018Saber et al , 2020Sukhishvili et al 2020;Valkanou et al 2021). Significantly, tectonic geomorphology can also highlight areas of active tectonics and potential seismic hazards in the absence of other data, such as dense geodetic networks and long-term and complete seismic and palaeoseismic records (e.g., Sukhishvili et al 2020).…”

Integration of GIS-Based Multicriteria Decision Analysis and Analytic Hierarchy Process for Flood-Hazard Assessment in the Megalo Rema River Catchment (East Attica, Greece)

“…GIS-based MCDA methods along with AHP have become quite popular for spatial planning and management issues. Such approaches are also quite common in the geoscience fields, such as landslide susceptibility analyses [23,24], landscape neotectonic deformation assessment [25,26] and soil erosion [27], as well as in flood-hazard assessment studies [15,28,29]. Approaches that combine the use of GIS-based MCDA in flood-hazard assessment were applied in urban areas in Belgrade, Serbia [30], in arid and semi-arid areas in Riyadh, Saudi Arabia [31], in the coastal area of Maharashtra, India [32] and in the fast-urbanizing area of Eldoret Municipality in Kenya [33].…”