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Structural Investigations of Afghanistan Deduced from Remote Sensing and Potential Field Data

Saibi H., Azizi M., Mogren S.

Acta Geophysica

2016

Vol. 64, no. 4

978--1003

This study integrates potential gravity and magnetic field data with remotely sensed images and geological data in an effort to understand the subsurface major geological structures in Afghanistan. Integrated analysis of Landsat SRTM data was applied for extraction of geological lineaments. The potential field data were analyzed using gradient interpretation techniques, such as analytic signal (AS), tilt derivative (TDR), horizontal gradient of the tilt derivative (HG-TDR), Euler Deconvolution (ED) and power spectrum methods, and results were correlated with known geological structures. The analysis of remote sensing data and potential field data reveals the regional geological structural characteristics of Afghanistan. The power spectrum analysis of magnetic and gravity data suggests shallow basement rocks at around 1 to 1.5 km depth. The results of TDR of potential field data are in agreement with the location of the major regional fault structures and also the location of the basins and swells, except in the Helmand region (SW Afghanistan) where many high potential field anomalies are observed and attributed to batholiths and near-surface volcanic rocks intrusions. A high-resolution airborne geophysical survey in the data sparse region of eastern Afghanistan is recommended in order to have a complete image of the potential field anomalies.

Application of sensitivity analysis for assessment of energy and environmental alternatives in the manufacture by using analytic hierarchy process

Ghorbannezhad P., Azizi M., Ray C., Yoo C., Ramazani O.

Environment Protection Engineering

2013

Vol. 39, nr 3

5--20

Multi-criteria decision making (MCDM) was used to make comparative analysis of projects or heterogeneous measures for prioritization criteria and subcriteria simultaneously in a complex situation. The aim of this paper is to determine the alternatives and the sensitivity of main factors affecting water and energy consumption as well as environmental impact in a recycled paper manufacturing by using analytic hierarchy process (AHP). The AHP enables one to consider all the elements of decision process in a model, and to compare criteria and subcriteria of the model to find the best alternative. The AHP technique is applied through specific software package with user-friendly interfaces called Expert Choice. The results indicated that reduction of water consumption is the most important alternative for sustainable development in a recycled paper mill in Iran. Also, good housekeeping is the most sensitive criterion affecting the alternatives. The paper illustrates how the AHP method can help industrial management to overcome the energy usage and environmental impact in the manufacture.