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

Document Type : Research Paper

Authors

1 Ph.D. Candidate, Department of Natural Geography, Faculty of Social Sciences, Mohaghegh Ardabili University, Ardabil, Iran.

2 Professor, Department of Natural Geography, Faculty of Social Sciences, Mohaghegh Ardabili University, Ardabil, Iran.

Abstract

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.

Keywords

Main Subjects


  1. Akhdar, A. (2012) Fuzzy Logic Functions in ARC GAS10T. Tehran. University of Tehran Booklet. (In Persian).
  2. Asghari, M., Nassiri,P., Monazzam,MR., Golbabaei, F., Arabalibeik, H., Shamsipour, A.A., & Allahverdy, A. (2017) Determination and weighting the effective criteria in selecting a heat stress index using the Delphi technique and fuzzy analyticn hierarchy process (FAHP). Journal of Health and Safety at Work, 7(1), 23-34. (In Persian).
  3. Bazaargan, M. & Ahmadi Ali Bigloui, M. (2014). Produce fresh water using groundwater humidification and solar energy. Renewable Energy Quarterly, 1 (1), 4-15. (In Persian).
  4. Burkard.R. (2003). Fog water collection system. Atmospheric Environment, 37(2), 2979-2990.
  5. Catherine, P. (2003). The Delphi Technique: myths and realities. Journal of Advanced Nursing, 41(4), 376-382.
  6. Chang, N., Parvathinathan, G., & Breeden, J. (2008). Combining GIS with fuzzy multicriteria decision-making for landfill siting in a fastgrowing urban region. Journal of Environmental Management, 87(1), 139-153.
  7. Eastman, I.R. (1997) IDRISI for Windows, Version 2 tutorial exercises. Worcester, MA: Graduate school of Geography, Clark university.
  8. Fallah Alamdar, A. (2009). Examining the types of conventional desalination plants and designing a sample of solar desalination plants, Master Thesis, Khajeh Nasir Tusi University of Technology. Iran. (In Persian).
  9. Henrbakhsh.A., Pajuhesh, M., Zangi Abadi, M & Heydari, M.(2016). Land use optimization using a combination of fuzzy linear programming methods and multi-purpose land allocation (Case study: Chelgard watershed). Journal Echo Hydrology, 3 (3), 363-377. (In Persian).
  10. International Development Research Center. (2003). A Lesson about the Value of Multidisciplinary Research. website:https:// www.idrc.ca
  11. Islam, R., & Rahimi. V. (2019). Policymaking and Water Crisis in Iran. The Macro and Strategic Policies, 7(3), 410-434. (In Persian)
  12. Janbaz Ghobadi, G.h., Yaghoubi, M., & Gholizadeh. B. (2017). Investigating the relationship between the temperature of the meteorological shelter and the temperature of different soil depths in air humidity conditions using a neural network (Case study: Sari city). Earth Knowledge Research, 8 (30), 80- 94. (In Persian)
  13. Janzadeh, A.H. (2018). Extraction of water from air moisture using underground temperature (case study: Examine the performance of the system in Bandar Abbas). Water and Soil Conservation, 25 (2), 297-305. (In Persian).
  14. Joshi, V. P., Joshi, V. S., Kothari, H. A., Mahajan, M. D., Chaudhari, M. B., & Sant, K. D. (2017). Experimental Investigations on a Portable Fresh Water Generator Using a Thermoelectric Cooler. Energy Procedia. 109, 161-166.
  15. Kalogirou, A. (2005). Seawater desalination using renewable energy sources. Progress in Energy and Combustion Science, 31(3), 242-281.
  16. Kamali, P., Hashemi shahedani, S, M., Javadi, S., Aliniaeifard, S., & Ebrahimian, H. (2020). Investigating the Possibility of Water Production from humid Air in the Greenhouse Model Equipped with Heat Exchanger, Journal of Water and Irrigation Management, 10 (2), 221-231. (In Persian).
  17. Kamangar, M., Nohegar, A., Sahragard, N., Aria Nejai, H., & Badaghi, M. (2016). Location of thermal solar power plants to provide sustainable energy using fuzzy logic. Iranian Journal of Energy, 19 (1), 137-152. (In Persian).
  18. Kaviani, M. R., & Alijani, B. (2009). Basics of Meteorology. Tehran. Samat Publications. (In Persian).
  19. Khaksari, M. (2004) Reverse osmosis theory, a practical guide to use in water treatment industries, Wess Bayern. Publications of National Petrochemical Company. (In Persian).
  20. Lee, S. (2007). Application and verification of fuzzy algebratic operators to landslide susceptibility mapping. Environmental Geology, 52 (4), 847-855.
  21. Lindblom, J., & Nordell, B. (2006). water production by underground condensation of humid air, Desalination. 189(1), 248-260.
  22. Mafi, M. (2014) Evaluation of fresh water extraction from air humidity using cooling system of buried pipes. 22nd Annual International Conference on Mechanical Engineering of Iran, Faculty of Mechanical Engineering, Shahid Chamran University of Ahvaz. Iran. (In Persian).
  23. Malek, A. (1993). Identifying and measuring atmospheric structures in agriculture. Shiraz. Shiraz University Press. (In Persian).
  24. Max, D., & Michael, D. (2005). Apparatus and method for harvesting atmospheric moisture, Patent Citations: US 6945063 B2, Application number: US 10/603,600, Publication date, Sep 20.
  25. Micheal, M. (2013). Combination dehydrator, dry return air and condensed water generator/dispenser, Patent Citations: US 8607583 B2, Application number: US 13/252,132, Publication date: Oct 3, 2011.
  26. Mousavi Baigi, M., & Shabanzadeh, S. (2008). Design and construction of a device for extracting water from fog and peak clouds, Journal of Agricultural Sciences and Industries, 22 (1), 3-11. (In Persian).
  27. Mousavi, S.G., & Sadeghian, R. (2016). A Study of Fuzzy Logic and Its Application in Complex Issues. Monthly Research Journal, 2(15), 77-89. (In Persian).
  28. Nandy, A., Saha, S., Ganguly, S., & Chattopadhyay, S. (2014). A Project on atmospheric water generator with the concept of Peltier effect. International Journal of Advanced Computer Research, 4(2), 481- 489.
  29. NASA Website. (2019). Available at: https://ladsweb.nascom.nasa.gov.
  30. Olivier, J. (2002). Fog-Water Harvesting Along the West Coast of South Africa: A Feasibility Study. Water SA, 28(4), 349-360.
  31. Olivier, J. (2004). Fog Harvesting: An Alternative Source of Water Supply on the West Coast of. South Africa. GeoJournal, 61(2), 203-214.
  32. Parsafar, N., & Marofi, S. (2011). Estimation of Soil Temperature from Air Temperature Using Regression Models, Artificial Neural Network and Adaptive Neuro-Fuzzy Inference System (Case Study: Kermanshah Region). Water and Soil Science, 3 (21), 139-152. (In Persian).
  33. Prada, S., Oliveir, A., & Silva, M. (2001). Fog Precipitation on the Island of Madeira (Portugal). Environmental Geology, 41(34), 384-389.
  34. Qanavati, E., & Delfani Gordazi, F. (2013). Optimal Location of Urban Development with Emphasis on Natural Parameters Using the Integrated AHP/ FUZZY Model (Case Study: Boroujerd County). Journal of Applied Geomorphology Iran, 1 (1), 45-60. (In Persian)
  35. Rostami, F., & Naderi, M. (2016). Water short agecrisesandrupture in national security. International Relations Research, 1 (15), 161-191. (In Persian).
  36. Sabzi Parvar, A., Tabari, H., & Aini, A. (2010). Estimation of daily average soil temperature in some climatic samples of Iran using meteorological data. Journal of Agricultural Science and Technology and Natural Resources, 52 (2), 125-130. (In Persian).
  37. Saffari, A., John Ahmadi, M., &. Raeti Shavazi, M. (2015). Application of AHP / FUZZY integrated model in locating suitable areas of Salab distribution for artificial feeding (Case study: Bushkn plain-Bushehr province). Hydrometeorology, 2 (3), 81-97. (In Persian).
  38. Sobhani, B., & Khalilvand, M. (2016). Application of fuzzy logic (fuzzy) and Analytical Hierarchy Process (AHP) in locating landfill for household waste in Marvdasht city with an emphasis on Hydro climatic parameters. Geography and Urban Regional Planning, 7(23), 1-20. (In Persian).
  39. Sobhani, B., Michael., K., & Mohammadi, M. (2018). Coping with Global Warming Farin Climate. Ardabil. Mohaghegh Ardabil University Press. (In Persian).
  40. Suryaningsih, S. & Nurhilal, O. (2016). Optimal design of an atmspheric water generator (AWG) based on thermo-electric cooler (TEC) for drought in rural area. 2nd Padjadjaran International Physics Symposium, Faculty of Mathematics and Natural Science, Padjadjaran University. Indonesia.
  41. Tongue, S. (2009). Water-from-air using liquid desiccant and vehicle exhaust, Patent Citations. US 7601208 B2, Application number, US 11/267,978, Publication date.
  42. Yousefi, H., Javadzadeh, Z., & Noorullahi, Y. (2017). Location of industrial waste disposal sites using Fuzzy-AHP model in Salafchegan Special Economic Zone. Journal of Geomatics Science and Technology, 6(4), 107-121. (In Persian).