Application of Fuzzy-AHP and Remote Sensing in Localizing Water Extraction from Air Humidity using Condensing System

Utilization of appropriate methods for localizing and performing land suitability assessment to optimize human activities is very important issue. Using fuzzy multi-criteria decision-making methods, this study intends to evaluate the criteria and determine suitable locations for water extraction from air through condensing systems in Hormozgan province. To this end, first air humidity and temperature related data were collected using satellite photos and the soil type, soil temperature (at 50 cm depth) and wind velocity data were collected using ground datasets. At the next stage, they were prioritized in terms of significance through hierarchical analysis method. Then, fuzzy linear functions were applied to data layers which, later on, were combined using fuzzy gamma function. The suitability of Hormozgan province for water extraction using condensing system was ranked at five categories of very good, good, moderate, poor and very poor and its zonation map was prepared. The results of land suitability assessment indicate that 9.75% of the studied area (about 6613.61 km2) falls in very good class, 18.57% (equal to 12606.85 km2) in good class, 27.39% (18597.95 km2) in moderate class, 25.90% (17589.55 km2) in poor and finally 18.41% (equal to 12498.29 km2) in very poor class.