Prioritizing Suitable Lands for Flood Spreading for Artificial Discharge using Integrated Model AHP / Fuzzy (Case Study: Shourdasht Basin)

Document Type: Research Paper

Authors

1 Master of Remote Sensing and Geographic Information Systems, Faculty of Planning and Environmental Sciences, Tabriz University

2 Ph.D. of Geomorphology, Department of Geography, Razi University of Kermanshah

Abstract

During recent years, increasing exploitation of groundwater aquifers has caused a substantial and sharp drop in groundwater table in the plains of Iran. Artificial discharge of aquifer using flood spreading in plains is an approach that has been implemented in many parts of the country so far. In this method, by flowing flood into the aquifer, will control flooding and soil conservation. In addition, increasing the volume of the reservoir and preventing a sharp decline in groundwater level do the same work. This research has been used to integrate the AHP / Fuzzy model in order to evaluate suitable land for flood spreading in the Shourdasht watershed in the Ghahavand, Hamadan province. To this end, after the selection of effective indicators in the location of these areas such as slope, permeability, alluvial thickness, transmission capacity, flooding, and hydraulic conductivity, using the analytical hierarchy process (AHP) were weighted and their importance was identified. The fuzzy method was used to normalize the effective measures in the zoning of flood spreading areas. Then, based on the integration of fuzzy layers, a final map of the land suitability for locating the flood spreading areas was determined. The results showed that in the relevant classification it was found that 42.46% accounted for completely unsuitable, 19.27% in the classes with a moderately suitable, and finally 37.78% were in a suitable and completely suitable class.

Keywords


Alesheikh, A. A., Soltani, M. J., Nouri, N., Khalilzadeh, M. (2008). Land assessment for
flood spreading site selection using the geospatial information system. Environmental Science &Technology, 5 (4), 455-462.

Amiri, M..P.)2010(. Project selection for oil-fields development by using the AHP and fuzzy TOPSIS
methods. Expert Systems with Applications, 37, 6218-6224.

Aryafar, A., Yousefi, S., Doulati Ardejani, F., (2013). The weight of interaction of mining activities: groundwater in environmental impact assessment using fuzzy analytical hierarchy process (FAHP). Environmental Earth Sciences, 68:2313–2324.

Asgharpour, M.J. (2006). Multiple Criteria Decision Making.5th Edition. University Tehran
Press.399pp (In Persian).

Aydi, A., Abichou, T., Nasr, I.H. et al. (2016).  Assessment of land suitability for olive mill wastewater disposal site selection by integrating fuzzy logic, AHP, and WLC in a GIS.Environmental Monitoring and Assessment, 188: 59.

Bellman, B.E., Zadeh, L.A. (1970). Decision-making in a fuzzy environment. Management Science, 17(4):141–164.

Bouwer, H., (2002). Artificial recharge of groundwater: hydrogeology and engineering.
Hydrogeology Journal, 10,121-142.

Bhowmick, Prasenjit. (2014). A review on GIS-based Fuzzy and Boolean logic modeling approach to identify the suitable sites for Artificial Recharge. Scholars Journal of Engineering and Technology (SJET). Volume 2. 316-319.

Cavallaro, F. (2010). Fuzzy TOPSIS approach for assessing thermal-energy storage in concentrated solar power (CSP) systems. Applied Energy, 87, 496-503.

Chakrabortty, R., Pal, S.C, Malik, S. et al. (2018). Modeling and mapping of groundwater potentiality zones using AHP and GIS technique: a case study of Raniganj Block, Paschim Bardhaman, West Bengal. Model. Earth Syst. Environ. 4(3): 1085-1110.

Chowdhury, A., Jha, M.K., Chowdary, V.M. (2010). Delineation of groundwater recharge zones and identification of artificial recharge sites in West Medinipur district, West Bengal using RS, GIS and -MCDM techniques. Environmental Earth Sciences, 59(6):1209–1222.

Chen, G., Pham, T.T. (2001). Introduction to fuzzy sets fuzzy logic and fuzzy control systems. CRC Press, Florida.

Dabral, S., Sharma, N., Bhatt, B., Joshi, J. P. (2013). A geospatial technique for demarcating groundwater recharge potential zones: A study of Mahi - Narmada Inter stream region, Gujarat. International Journal of Geomatics and Geosciences, 4(1), 177-185.

Das, D. (2003). Integrated Remote Sensing and Geographical Information System Based Approach towards Groundwater Development through Artificial Recharge in Hard-RockTerrain. District, Tamilnadu, India. International Journal of Geomatics and Geosciences.
1(1).

Dar, IA, Sankar, K, Dar, MA. (2010). Remote sensing technology and geographic information system modeling: an integrated approach towards the mapping of groundwater potential zones in Hardrock terrain, Mamundiyar basin. Hydrology, 394:285–295.

Eden, S, Gelt, J., Megdal, S., Shipman, T., Smart, A., & Escobedo, M. (2007). Artificial recharge: A multi-purpose water management tool. Arroyo (Water Resources Research Center, College of Life Sciences, University of Arizona), Winter 2007.

Gdoura, kh, Anane, M, Jellali, S. (2015).Geospatial and AHP-multicriteria analyses to locate and rank suitable sites for groundwater recharge with reclaimed water Resources, conservation, and recycling, 104,19-30.

Gaur, S, Chahar, BR, Graillot, D. (2011).Combined use of groundwater modeling and potential zone analysis for management of groundwater. Int J Appl Earth Obs, 13,127–139.

Ghodsipour, S.H. (2005). Analytical Hierarchy Process. Industrial Amir Kabir University press.230 pp.

Ibrahim E. H., Mohamed S. E., Atwan A. A. (2011). Combining Fuzzy Analytic Hierarchy Process and GIS to Select the Best Location for a Wastewater Lift Station in El-Mahalla ElKubra, North Egypt, International Journal of Engineering & Technology, 11 (05):37-43

Imran, A, Mörtberg, U, Olofsson, B, Shafique, M.A. (2014).Spatial Multi-Criteria Analysis Approach for Locating Suitable Sites for Construction of Subsurface Dams in Northern Pakistan, Water Resour Manage, 28,5157–5174.

Israil, M, Al-hadithi, M, Singhal, DC. (2006). Application of a resistivity survey and geographical information system (GIS) analysis for hydrogeological zoning of a piedmont area, Himalayan foothill region, India. Hydrogeology, 14,753–759.

Jha, M.K, Chowdary, V.M, Chowdhury, A. (2010). Groundwater assessment in salboni block, West Bengal (India) using remote sensing, geographical information system and multi-criteria decision analysis techniques. Hydrogeology, 18, 1713–1728.

Magesh, N.S, Chandrasekar, N, Soundranayagam, J.P. (2012). Delineation of groundwater potential zones in theni district, Tamil Nadu, using remote sensing, GIS and MIF techniques. Geosci Front, 3(2):189–196.

Manap, M.A, Sulaiman, W.NA, Ramli, M.F, Pradhan, B, Surip, N. (2013). A knowledge-driven GIS modeling technique for groundwater potential mapping at the Upper Langat Basin, Malaysia. Arabian Journal of Geoscience, 6, 1621–1637.

Moghaddam, H., Dehghani, M., Rahimzadeh, Kivi, Z., Kardan Moghaddam H, Hashemi R, Efficiency assessment of AHP and fuzzy logic methods in suitability mapping for artificial recharging (Case study: Sarbisheh basin, Southern Khorasan, Iran).Water Harvesting Research, 2017, 2(1): 57-67.

Pourmand, E, Mahjouri, N. (2018).  A fuzzy multi-stakeholder multi-criteria methodology for water allocation and reuse in metropolitan areas. Environ Monit Assess, 190: 444.

Razandi, Y., Pourghasemi, H., Samani Neisani, N., Rahmati, O. (2015).Application of analytical hierarchy process, frequency ratio, and certainty factor models for groundwater potential mapping using GIS.Earth Science Informatic.8(4).

Sargaonkar, A., Rathi, B., Bail., A. (2011).Identifying potential sites for artificial groundwater recharge in sub-watershed of River Kanhan, India. Environmental Earth Science, 62, 1099–1108.

Saravi, M. M., Malekian, A., Nouri, b., (2006). Identification of Suitable Sites for Groundwater Recharge, The 2 nd International Conf. on Water Resources & Arid Environment.

Saaty, T.L. 1980. The Analytical Hierarchy Process. McGraw Hill, New York

Saaty, T.L, Vargas, L.G. (1990). The analytic hierarchy process series. The University of Pittsburg.The USA.

Shailaja, G., Kadam, A.K., Gupta, G. et al., (2019). Integrated geophysical, geospatial and multiple-criteria decision analysis techniques for delineation of groundwater potential zones in a semi-arid hard-rock aquifer in Maharashtra, India. Hydrogeol J, 27(2): 639-654.

Vaidya, O.S, Kumar, S. (2006). Analytic hierarchy process: an overview of applications. The European Journal of Operational Research, 169, 1–29.Zadeh, L. A., 1965, Fuzzy sets. Information and Control, 8: 338–353