Volume 9, Issue 3 (2021)
ECOPERSIA 2021, 9(3): 159-168 |
Back to browse issues page
Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
Dehghani Bidgoli R, Koohbanani H. Site Selection for Underground Dam Construction by Fuzzy Algorithm in GIS Platform. ECOPERSIA 2021; 9 (3) :159-168
URL: http://ecopersia.modares.ac.ir/article-24-48365-en.html
URL: http://ecopersia.modares.ac.ir/article-24-48365-en.html
1- Department of Rangeland and Watershed Management, University of Kashan, Kashan, Iran , dehghanir@kashanu.ac.ir
2- Department of Desertification, Semnan University, Semnan, Iran
2- Department of Desertification, Semnan University, Semnan, Iran
Abstract: (2177 Views)
Aims: The global need for water-conserving increasing in arid and semi-arid areas and water preserving by improving vegetative cover in rangelands by reducing the erosion effects is a rational justification for the performance of underground dams. This research aimed to locate underground dams using GIS integrated with the fuzzy algorithm.
Materials & Methods: The data layers included geology, LU/LC, streams, villages, water resources, and slopes of the Sarakhs region, Iran, were prepared and standardized by the sigmoidal membership function.
Findings: Almost 98% of the final maps were in the fuzzy range of 0 to 0.5. This means that suitable locations for constructing underground dams with the fuzzy range of 0.5 to 1 found in less than 2% of the Sarakhs basin.
Conclusion: The superiority of fuzzy method for more scalability from other overlaying methods comes from this fact that in the second step of site selection and in the different management scenarios, we can take advantage from multiple fuzzy ranges.
Materials & Methods: The data layers included geology, LU/LC, streams, villages, water resources, and slopes of the Sarakhs region, Iran, were prepared and standardized by the sigmoidal membership function.
Findings: Almost 98% of the final maps were in the fuzzy range of 0 to 0.5. This means that suitable locations for constructing underground dams with the fuzzy range of 0.5 to 1 found in less than 2% of the Sarakhs basin.
Conclusion: The superiority of fuzzy method for more scalability from other overlaying methods comes from this fact that in the second step of site selection and in the different management scenarios, we can take advantage from multiple fuzzy ranges.
Article Type: Original Research |
Subject:
Water Management
Received: 2020/12/14 | Accepted: 2021/01/31 | Published: 2021/05/10
Received: 2020/12/14 | Accepted: 2021/01/31 | Published: 2021/05/10
References
1. Wolf AT. Conflict and cooperation along international waterways. Water Policy. 1998;1(2):251-65. [Link] [DOI:10.1016/S1366-7017(98)00019-1]
2. Lin F, Ying H, MacArthur RD, Cohn JA, Barth-Jones D, Crane LR. Decision making in fuzzy discrete event systems. Inf Sci. 2007;177(18):3749-63. [Link] [DOI:10.1016/j.ins.2007.03.011]
3. Asghari SS. Balvasi M, Zeynali B, Sahebi S. Identifying of Suitable Location for Underground Dam Construction in Alashtar Basin by ANP. J Watershed Manag Res. 2016;7(13):150-60. [Persian] [Link] [DOI:10.18869/acadpub.jwmr.7.13.163]
4. Worqlu AW, Jeong J, Dile YT, Osorio J, Schmitter P, Gerik T, et al. Assessing potential land suitable for surface irrigation using groundwater in Ethiopia. Appl Geogr. 2017;85:1-13. [Link] [DOI:10.1016/j.apgeog.2017.05.010]
5. Ishida S, Tsuchihara T, Yoshimoto S, Imaizumi M. Sustainable use of groundwater with underground dams. Japan Agric Res Q. 2011;45(1):51-61. [Link] [DOI:10.6090/jarq.45.51]
6. Forzieri G, Gardenti M, Caparrini F, FabioCastelli F. A methodology for the pre-selection of suitable sites for surface and underground small dams in arid areas: A case study in the region of Kidal, Mali. Phys Chem Earth Part A B C. 2008;33(1-2):74-85. [Link] [DOI:10.1016/j.pce.2007.04.014]
7. Helweg OJ, Smith G. Appropriate technology for artificial aquifers. Groundwater. 1987;16(3):144-8. [Link] [DOI:10.1111/j.1745-6584.1978.tb03215.x]
8. Hanson G, Nilsson A. Ground water dams for rural water supplies in developing countries. Groundwater. 1986;24(4):497-506. [Link] [DOI:10.1111/j.1745-6584.1986.tb01029.x]
9. Ouerdachi l, Boutaghane H, Hafsi R, Boulmaiz Tayeb T, Bouzahar F. Modeling of underground dams Application to planning in the semi-arid areas (Biskra, Algeria). Energy Procedia. 2012;18:426-37. [Link] [DOI:10.1016/j.egypro.2012.05.054]
10. Zadeh L. Fuzzy Sets. Inf Control. 1965;8(3):338-53. [Link] [DOI:10.1016/S0019-9958(65)90241-X]
11. Nilsson A. Round water dams for small scale supply. Int J Adv Manuf Technol. 1988;3:253-80. [Link] [DOI:10.3362/9781780442297.000]
12. Kamash Z. Irrigation technology, society and environment in the Roman Near East. J Arid Environ. 2012;86:65-74. [Link] [DOI:10.1016/j.jaridenv.2012.02.002]
13. Feizizadeh B, Blaschke T, Roodposhti MS. Integrating GIS based fuzzy set theory in multicriteria evaluation methods for landslide susceptibility mapping. Int J Geo Eng. 2013;9(3):49-57. [Link]
14. Azizi SH, Kheirkhah Zarkesh MM, Sharifi E. Suitable site selection for groundwater dams construction using spatial and non-spatial analytical hierarchy process (Case study: Taft's Pishkuh catchments, Yazd province). J RS GIS Nat Resour. 2011;2(2):27-38. [Persian] [Link]
15. Mehrabi H, Zeinivand H, Hadidi M. Site selection for groundwater artificial recharge in Silakhor rangelands using GIS technique. J Rangel Sci. 2012;2(4):687-95. [Link]
16. Dortaj A, Maghsoudy S, Ardejan FD, Eskandari Z. Locating suitable sites for construction of subsurface dams in semiarid region of Iran: using modified ELECTRE III. J Sustain Water Resour Manag. 2020;6:7. [Link] [DOI:10.1007/s40899-020-00362-2]
17. Talebi A, Zahedi E, Hassan MA, Lesani MT. Locating suitable sites for the construction of underground dams using the subsurface flow simulation (SWAT model) and analytical network process (ANP) (case study: Daroongar watershed, Iran). J Sustain Water Resour Manag. 2019;5:1369-78. [Link] [DOI:10.1007/s40899-019-00314-5]
18. Mashayekhan A, Salman Mahiny A. A multi-criteria evaluation approach to Delineation of suitable areas for planting trees (case study: Juglans regia in Gharnaveh watershed of Golestan province). J Rangel Sci. 2011;1(2):225-34. [Link]
19. Yen J. Fuzzy logic-a modern perspective. IEEE Transact Knowl Data Eng, 1999;11:1153-4. [Link] [DOI:10.1109/69.755624]
20. Al-Jarrah O, Abu-Qdais H. Municipal solid waste landfill sitting using intelligent system. Waste Manag. 2006;26(3):299-306. [Link] [DOI:10.1016/j.wasman.2005.01.026]
21. Hadidi M, Ariapour A, Faramarzi M. Study on the trend of range cover changes using fuzzy ARTMAP method and GIS. J Rangel Sci. 2013;3(2):129-44. [Link]
22. Li P, Tian R, Xue C, Wu J. Progress, opportunities and key fields for groundwater quality research under the impacts of human activities in China with a special focus on western China. Environ Sci Pollut Res Int. 2017;24(15):13224-34. [Link] [DOI:10.1007/s11356-017-8753-7]
23. Gorsevski PV, Jankowski P. An optimized solution of multi-criteria evaluation analysis of landslide susceptibility using fuzzy sets and Kalman filter. Computer Geosci. 2010;36(8):1005-20. [Link] [DOI:10.1016/j.cageo.2010.03.001]
24. Jiang H, Eastman JR. Application of fuzzy measures in multi-criteria evaluation in GIS. Int J Geo Inf Sci. 2000;14(2):173-84. [Link] [DOI:10.1080/136588100240903]
25. Malczewski J. GIS-based multicriteria decision analysis: a survey of the literature. Int J Geo Inf Sci. 2006;20(7):703-26. [Link] [DOI:10.1080/13658810600661508]
26. Wang Y, Zhang J, Guo E, Sun Z. Fuzzy comprehensive evaluation-based disaster risk assessment of desertification in Horqin Sand land, China. Int J Environ Res Public Health. 2015;12(2):1703-25. [Link] [DOI:10.3390/ijerph120201703]
27. Kahraman C, Cebeci U, Ulukan Z. Multi-criteria supplier selection using fuzzy AHP. Logist Inf Manag. 2003;16(6):382-94. [Link] [DOI:10.1108/09576050310503367]
28. Nouri H, Faramarzi M. Soil moisture estimation in rangelands using remote sensing (case study: Malayer, west of Iran). J Rangel Sci. 2017;7(1):67-78. [Link]
29. Onder H, Yilmaz M. Underground dams: A tool of sustainable development and management of groundwater resources. Eur Water. 2005;11:35-45. [Link]
30. Esavi V, Karami J, Alimohammadi A, Niknezhad SA. Comparison the AHP and fuzzy-AHP decision making methods in underground dam site selection in Taleghan basin. J Geosci. 2013;22(85):27-34. [Persian] [Link]
31. Jamali AA, Randhir TO, Nosrati J. Site suitability analysis for subsurface dams using Boolean and fuzzy logic in arid watersheds. J Water Resour Plann Manag. 2018;144(8):418-27. [Link] [DOI:10.1061/(ASCE)WR.1943-5452.0000947]
32. Farokhzadeh B, Akhzari D, Razandi Y, Bazrafshan O. Combination of boolean logic and analytical hierarchy process methods for locating underground dam construction. ECOPERSIA. 2015;(3)3:1065-75. [Link]
33. Alam N, Olsthoorn TN. Sustainable conjunctive use of surface and ground water: modelling on the basin scale. ECOPERSIA. 2011;(1):1-12. [Link]
Send email to the article author
| Rights and permissions | |
 |
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. |