DEFLOGIC: a method for assessment of groundwater potential in karst terrains: Gurpi Anticline, southwest Iran
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ORIGINAL PAPER
DEFLOGIC: a method for assessment of groundwater potential in karst terrains: Gurpi Anticline, southwest Iran Zakieh Mohammadi & Farshad Alijani & Kazem Rangzan
Received: 4 December 2012 / Accepted: 23 April 2013 # Saudi Society for Geosciences 2013
Abstract A new hydro-tectonic model, includes eight layers that affect karst hydrogeology was proposed for mapping of groundwater potential in karst areas of Gurpi Anticline, southwest Iran. To produce the groundwater potential map, remote sensing (RS) and GIS techniques were combined with fuzzy logic modeling. Criterion maps include the distances from discharge sites (D), the elevation difference from discharge sites (E), the distance from fractures (F), the fracture length density (L), the slope (O), the lithology (G), the distance from fractures intersections (I), and the fractures intersection density (C) were produced using GIS and RS techniques (DEFLOGIC layers). The approach of fuzzy sets was used to commensurate criterion maps, then fuzzy algebraic sum and gamma operators were applied to aggregate them. The weights of parameters of DEFLOGIC proposed in the range of 1 to 5, which standardized between 0 to 1, based on their importance in karst hydrogeology, professional judgments, and available exploration data. The final groundwater potential maps were verified by geoelectric and well-drilling data. The potential map prepared using fuzzy gamma operator with g =0.92, which it is a flexible distinctive parameters of sum and product of fuzzy operator, depicts the best coincidence with exploration data. The final DEFLOGIC map shows the high groundwater potential in karst formations between Hati and Pebde valleys. The results support the efficiency of Z. Mohammadi (*) Student of Geomorphology, Faculty of Geography Sciences, Kharazmi University, Tehran, Iran e-mail: [email protected] F. Alijani Department of Geology, Faculty of Earth Sciences, Shahid Beheshti University, Tehran, Iran K. Rangzan Department of Remote sensing and GIS, Shahid Chamran University, Ahwaz, Iran
DEFLOGIC model to evaluating of groundwater potential in karst terrains, especially in Zagros ranges. Keywords Karst . Groundwater potential . Remote sensing . GIS . Fuzzy logic . DEFLOGIC . Iran
Introduction In the southwest of Iran, as in other arid and semi-arid areas, groundwater exploration is an important issue in drinking water supply. Finding the locations of high-yield wells in limestones is a prime task for researchers because of restrictions that need to be considering for exploitation of groundwater. Occurrence of groundwater in karst terrains are mainly controlled by structures, lithology, and recharge/discharge conditions. In preliminary investigation of karst regions, interpretation of satellite data in conjunction with sufficient ground truth information makes it possible to identify and outline various ground features such as geology, structure, geomorphic features, and their hydrogeologic characteristics. Geology, topography, and structure are considered as
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