Showing 3 results for Gis
Volume 8, Issue 3 (2-2009)
Abstract
The data gathered from implemented investigations provides enormous information yet if not organized properly, they would not yeild useful and credible results. GIS cannot only organize the mineral potential-related information, but also integrate different datasets and produce quickly and precisely-required mineral potential maps. It also supports the spatial decision-making process. Here, we have used GIS to produce the mineral potential map of Sonajil porphyrtic copper prospect to determine sufficient drilling localities. The utilized layers include rock type, alteration, mineralization indicators, anomaly zone of Chargeability and Apparent resistivity, anomaly of Copper, Molybdenum and gold. After information preparation, Factor maps were weighted and integrated in the inference network and mineral potential map was prepared. Using Fuzzy logic operators in inference network can eliminate defects in other models and provide more flexible integration of factor maps. With respect to prepared mineral potential map, most probable mineral potential zones of porphyrtic copper are located in two north-east and south-west parts of studied area. Eventually, the degree of correlation between mineral potential maps and those operated exploration boreholes has been estimated for two different classes, 90.91% and 83.33%. Regarding to the resulted mineral potential map, some new promising drilling localities have been suggested. Comparison of the high potential points indicated by our mineral potential maps with those previous drilled boreholes reveals about 85% miscorrelation. In other words, if the present proposed methodology had been performed before drilling operation, about 600,000$ could have been saved in this stage.
Volume 18, Issue 46 (4-2008)
Abstract
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Volume 18, Issue 58 (8-2004)
Abstract
Flooding ranks very high among the natural disasters in Iran which causes human misery and economic hardship in different part of the country. Floodwater spreading can be considered as a cost-effective method for optimal utilization of floodwater for artificial recharge, vegetation recovery, and reduction of flood damages. In this research selection of proper areas for floodwater spreading in Meimeh basin were concerned. For this purpose different thematic maps including slope, infiltration rate, transitivity, sediment thickness, and water quality were produced based on satellite images, aerial photos, and field survey. The thematic layers were input in a geographic information system (GIS). All layers were classified to several classes based on existing criteria. The classes in the thematic layers were analyzed and integrated using a decision support system (DSS). The generated criterion through the model was verified with applying the model for a number of successful floodwater spreading stations in Iran, to ascertain the validity of the model. The verification of the model indicated in general, satisfactory results for all the stations. The result indicates that in Meimeh basin, about 10 percent of the study area is considered suitable and 70 percent moderately suitable for artificial recharge with floodwater spreading.
