Artan nüfus nedeniyle Akure Federal Teknoloji Üniversitesi'nde (FUTA) su kaynaklarına yönelik artan talebin karşılanması, veri odaklı bir çözüm gerektirmektedir. Bu çalışmada, beş tematik faktör (drenaj yoğunluğu, eğim, yükseklik, arazi örtüsü ve toprak dokusu) ve Coğrafi Bilgi Sistemleri (CBS) tabanlı Çok Kriterli Karar Analizi (ÇKKA) yaklaşımı kullanılarak FUTA'daki su kıtlığı sorununa alternatif bir çözüm olarak mini barajlar için uygun yerler belirlemiştir. Kriterlere baraj için önemlerine göre tercih değerleri atanmıştır. Kriterlerin ağırlıklarını belirlemek için Analitik Hiyerarşi Proses (AHP) yöntemi kullanılmış ve çalışma alanında bir mini baraj uygunluk haritası üretmek için ağırlıklı toplam yöntemi uygulanmıştır. Uygun alanlar beş sınıfa ayrılmıştır: çok uygun (%9), uygun (%18), marjinal olarak uygun (%30), en az uygun (%26) ve uygun değil (%17). Uygunluk haritası, çalışma alanındaki mevcut barajların konumlarına göre doğrulanmıştır. Bu çalışma, FUTA'da artan nüfus için su kaynaklarını yönetme çabalarına ve küçük bir çalışma alanı için baraj yerleşimi için CBS-AHP yaklaşımının değerlendirilmesine katkıda bulunmaktadır.
Abushandi, E., & Alatawi, S. (2015). Dam Site Selection Using Remote Sensing Techniques and Geographical Information System to Control Flood Events in Tabuk City. Hydrology Current Research, 6(1), 1000189. https://doi.org/10.4172/2157-7587.1000189
Akeju, S. B., Ojo, O. M., & Adewumi, J. R. (2021). Current and Future Potable Water Demand and Supply at the Federal University of Technology, Akure, Nigeria. FUOYE Journal of Engineering and Technology, 6(3), 77–81. https://doi.org/10.46792/fuoyejet.v6i3.669
Aldaya, M. M., Allan, J. A., & Hoekstra, A. Y. (2010). Strategic importance of green water in international crop trade. Ecological Economics, 69(4), 887–894. https://doi.org/10.1016/j.ecolecon.2009.11.001
Al-Ruzouq, R., Shanableh, A., Yilmaz, A. G., Idris, A., Mukherjee, S., Khalil, M. A., & Gibril, M. B. A. (2019a). Dam Site Suitability Mapping and Analysis Using an Integrated GIS and Machine Learning Approach. Water, 11, 1880. https://doi.org/10.3390/w11091880
Al-Ruzouq, R., Shanableh, A., Merabtene, T., Siddique, M., Khalil, M. A., Idris, A., & Almulla, E. (2019b). Potential groundwater zone mapping based on geo-hydrological considerations and multi-criteria spatial analysis: North UAE. Catena, 173, 511–524. https://doi.org/10.1016/j.catena.2018.10.037
Al-shabeeb, A. R. (2016). The Use of AHP within GIS in Selecting Potential Sites for Water Harvesting Sites in the Azraq Basin—Jordan. Journal of Geographic Information System, 8(1), 73–88. https://doi.org/10.4236/jgis.2016.81008
Amadi, A. N., Olasehinde, P. I., Ameh, I. M., okunlola, I. A., & Dan-Hassan, M. A. (2015). Investigating the Groundwater Potential at The Boys Hostel, Bosso Campus, Federal University of Technology Minna, Using Electrical Resistivity Method. Water Resources, 25, 92–107.
Boroushaki, S., & Malczewski, J. (2008). Implementing an extension of the analytical hierarchy process using ordered weighted averaging operators with fuzzy quantifiers in ArcGIS. Computers & Geosciences, 34(4), 399–410. https://doi.org/10.1016/j.cageo.2007.04.003
Cosgrove, W. J., & Loucks, D. P. (2015). Water management: Current and future challenges and research directions. Water Resources Research, 51(6), 4823–4839. https://doi.org/10.1002/2014WR016869
Dai, X. (2016). Dam site selection using an integrated method of AHP and GIS for decision making support in Bortala, Northwest China [Master’s thesis, Lund University]. http://lup.lub.lu.se/student-papers/record/8886448
Egbinola, C. N., & Amanambu, A. C. (2014). Groundwater contamination in Ibadan, South-West Nigeria. SpringerPlus, 3, 448. https://doi.org/10.1186/2193-1801-3-448
Etikala, B., Golla, V., Li, P., & Renati, S. (2019). Deciphering groundwater potential zones using MIF technique and GIS: A study from Tirupati area, Chittoor District, Andhra Pradesh, India. HydroResearch, 1, 1–7. https://doi.org/10.1016/j.hydres.2019.04.001
Gallego-Ayala, J., & Juízo, D. (2011). Strategic implementation of integrated water resources management in Mozambique: An A’WOT analysis. Physics and Chemistry of the Earth, Parts A/B/C, 36(14–15), 1103–1111. https://doi.org/10.1016/j.pce.2011.07.040
Goepel, K. D. (2018). Implementation of an Online Software Tool for the Analytic Hierarchy Process (AHP-OS). International Journal of the Analytic Hierarchy Process, 10(3), 469–487. https://doi.org/10.13033/ijahp.v10i3.590
Hagos, Y. G., Andualem, T. G., Mengie, M. A., Ayele, W. T., & Malede, D. A. (2022). Suitable dam site identification using GIS-based MCDA: A case study of Chemoga watershed, Ethiopia. Applied Water Science, 12(4), 69. https://doi.org/10.1007/s13201-022-01592-9
Jozaghi, A., Alizadeh, B., Hatami, M., Flood, I., Khorrami, M., Khodaei, N., & Ghasemi Tousi, E. (2018). A Comparative Study of the AHP and TOPSIS Techniques for Dam Site Selection Using GIS: A Case Study of Sistan and Baluchestan Province, Iran. Geosciences, 8(12), 494. https://doi.org/10.3390/geosciences8120494
Karakuş, C. B., & Yıldız, S. (2022). GIS-multi criteria decision analysis-based land suitability assessment for dam site selection. International Journal of Environmental Science and Technology, 19(12), 12561–12580. https://doi.org/10.1007/s13762-022-04323-4
Luís, A. D. A., & Cabral, P. (2021). Small dams/reservoirs site location analysis in a semi-arid region of Mozambique. International Soil and Water Conservation Research, 9(3), 381–393. https://doi.org/10.1016/j.iswcr.2021.02.002
Malczewski, J. (2006). GIS‐based multicriteria decision analysis: A survey of the literature. International Journal of Geographical Information Science, 20(7), 703–726. https://doi.org/10.1080/13658810600661508
Njiru, F. M., & Siriba, D. N. (2018). Site Selection for an Earth Dam in Mbeere North, Embu County—Kenya. Journal of Geoscience and Environment Protection, 06(07), 113–133. https://doi.org/10.4236/gep.2018.67009
Noori, A. M., Pradhan, B., & Ajaj, Q. M. (2019). Dam site suitability assessment at the Greater Zab River in northern Iraq using remote sensing data and GIS. Journal of Hydrology, 574, 964–979. https://doi.org/10.1016/j.jhydrol.2019.05.001
Nzelibe, I. U., Akinboyewa, T. E., Nzelibe, T. N., & Inekwe, G. G. (2022). Geospatial Assessment of The Potentials of Rooftop Rainwater Harvest at The Federal University of Technology, Akure, Nigeria. FUOYE Journal of Engineering and Technology, 7(2), 249–256. https://doi.org/10.46792/fuoyejet.v7i2.839
Olujumoke, A. O., Folorunso, M. A., Valerie, G., & Christian, B. (2016). Descriptive analysis of rainfall and temperature trends over Akure, Nigeria. Journal of Geography and Regional Planning, 9(11), 195–202. https://doi.org/10.5897/JGRP2016.0583
Ouma, Y., & Tateishi, R. (2014). Urban Flood Vulnerability and Risk Mapping Using Integrated Multi-Parametric AHP and GIS: Methodological Overview and Case Study Assessment. Water, 6(6), 1515–1545. https://doi.org/10.3390/w6061515
Rincón, D., Khan, U., & Armenakis, C. (2018). Flood Risk Mapping Using GIS and Multi-Criteria Analysis: A Greater Toronto Area Case Study. Geosciences, 8(8), 275. https://doi.org/10.3390/geosciences8080275
Saaty, R. W. (1987). The analytic hierarchy process—What it is and how it is used. Mathematical Modelling, 9(3–5), 161–176. https://doi.org/10.1016/0270-0255(87)90473-8
Saaty, T. L. (1990). How to make a decision: The analytic hierarchy process. European Journal of Operational Research, 48(1), 9–26. https://doi.org/10.1016/0377-2217(90)90057-I
Saaty, T. L. (2008). Decision making with the analytic hierarchy process. International Journal of Services Sciences, 1(1), 83. https://doi.org/10.1504/IJSSCI.2008.017590
Shao, Z., Jahangir, Z., Muhammad Yasir, Q., Atta-ur-Rahman, & Mahmood, S. (2020). Identification of Potential Sites for a Multi-Purpose Dam Using a Dam Suitability Stream Model. Water, 12(11), 3249. https://doi.org/10.3390/w12113249
Wang, Y., Tian, Y., & Cao, Y. (2021). Dam Siting: A Review. Water, 13(15), 2080. https://doi.org/10.3390/w13152080
Winter, T. C., Harvey, J. W., Franke, O. L., & Alley, W. M. (1998). Ground water and surface water: A single resource (Report 1139; Circular). U.S. Geological Survey; USGS Publications Warehouse. https://doi.org/10.3133/cir1139
Yasser, M., Jahangir, K., & Mohmmad, A. (2013). Earth dam site selection using the analytic hierarchy process (AHP): A case study in the west of Iran. Arabian Journal of Geosciences, 6(9), 3417–3426. https://doi.org/10.1007/s12517-012-0602-x
Optimizing Mini Dam Placement for Sustainable Water Management in FUTA: A GIS-MCDA Approach
Addressing the increasing demand for water resources at the Federal University of Technology, Akure (FUTA) due to the growing population requires a data-driven solution. This study determined the suitable locations for the siting of mini-dams as an alternative solution to the problem of water scarcity in FUTA using a Geographical Information Systems (GIS)-based Multi-Criteria Decision Analysis (MCDA) approach by integrating five thematic factors: drainage density, slope, elevation, land cover and soil texture. Preference values were assigned to the criteria based on their importance to a dam. Analytical Hierarchy Process (AHP) was used to assign weights to these criteria, and they were combined using a weighted sum to produce a mini dam suitability map within the study area. The suitable areas were divided into five classes: highly suitable (9%), suitable (18%), marginally suitable (30%), least suitable (26%) and not suitable (17%). The suitability map was validated against the locations of existing dams in the study area. This study contributes to the efforts to manage water resources for a growing population in FUTA and to evaluate the GIS-AHP approach for dam siting for a small study area.
Abushandi, E., & Alatawi, S. (2015). Dam Site Selection Using Remote Sensing Techniques and Geographical Information System to Control Flood Events in Tabuk City. Hydrology Current Research, 6(1), 1000189. https://doi.org/10.4172/2157-7587.1000189
Akeju, S. B., Ojo, O. M., & Adewumi, J. R. (2021). Current and Future Potable Water Demand and Supply at the Federal University of Technology, Akure, Nigeria. FUOYE Journal of Engineering and Technology, 6(3), 77–81. https://doi.org/10.46792/fuoyejet.v6i3.669
Aldaya, M. M., Allan, J. A., & Hoekstra, A. Y. (2010). Strategic importance of green water in international crop trade. Ecological Economics, 69(4), 887–894. https://doi.org/10.1016/j.ecolecon.2009.11.001
Al-Ruzouq, R., Shanableh, A., Yilmaz, A. G., Idris, A., Mukherjee, S., Khalil, M. A., & Gibril, M. B. A. (2019a). Dam Site Suitability Mapping and Analysis Using an Integrated GIS and Machine Learning Approach. Water, 11, 1880. https://doi.org/10.3390/w11091880
Al-Ruzouq, R., Shanableh, A., Merabtene, T., Siddique, M., Khalil, M. A., Idris, A., & Almulla, E. (2019b). Potential groundwater zone mapping based on geo-hydrological considerations and multi-criteria spatial analysis: North UAE. Catena, 173, 511–524. https://doi.org/10.1016/j.catena.2018.10.037
Al-shabeeb, A. R. (2016). The Use of AHP within GIS in Selecting Potential Sites for Water Harvesting Sites in the Azraq Basin—Jordan. Journal of Geographic Information System, 8(1), 73–88. https://doi.org/10.4236/jgis.2016.81008
Amadi, A. N., Olasehinde, P. I., Ameh, I. M., okunlola, I. A., & Dan-Hassan, M. A. (2015). Investigating the Groundwater Potential at The Boys Hostel, Bosso Campus, Federal University of Technology Minna, Using Electrical Resistivity Method. Water Resources, 25, 92–107.
Boroushaki, S., & Malczewski, J. (2008). Implementing an extension of the analytical hierarchy process using ordered weighted averaging operators with fuzzy quantifiers in ArcGIS. Computers & Geosciences, 34(4), 399–410. https://doi.org/10.1016/j.cageo.2007.04.003
Cosgrove, W. J., & Loucks, D. P. (2015). Water management: Current and future challenges and research directions. Water Resources Research, 51(6), 4823–4839. https://doi.org/10.1002/2014WR016869
Dai, X. (2016). Dam site selection using an integrated method of AHP and GIS for decision making support in Bortala, Northwest China [Master’s thesis, Lund University]. http://lup.lub.lu.se/student-papers/record/8886448
Egbinola, C. N., & Amanambu, A. C. (2014). Groundwater contamination in Ibadan, South-West Nigeria. SpringerPlus, 3, 448. https://doi.org/10.1186/2193-1801-3-448
Etikala, B., Golla, V., Li, P., & Renati, S. (2019). Deciphering groundwater potential zones using MIF technique and GIS: A study from Tirupati area, Chittoor District, Andhra Pradesh, India. HydroResearch, 1, 1–7. https://doi.org/10.1016/j.hydres.2019.04.001
Gallego-Ayala, J., & Juízo, D. (2011). Strategic implementation of integrated water resources management in Mozambique: An A’WOT analysis. Physics and Chemistry of the Earth, Parts A/B/C, 36(14–15), 1103–1111. https://doi.org/10.1016/j.pce.2011.07.040
Goepel, K. D. (2018). Implementation of an Online Software Tool for the Analytic Hierarchy Process (AHP-OS). International Journal of the Analytic Hierarchy Process, 10(3), 469–487. https://doi.org/10.13033/ijahp.v10i3.590
Hagos, Y. G., Andualem, T. G., Mengie, M. A., Ayele, W. T., & Malede, D. A. (2022). Suitable dam site identification using GIS-based MCDA: A case study of Chemoga watershed, Ethiopia. Applied Water Science, 12(4), 69. https://doi.org/10.1007/s13201-022-01592-9
Jozaghi, A., Alizadeh, B., Hatami, M., Flood, I., Khorrami, M., Khodaei, N., & Ghasemi Tousi, E. (2018). A Comparative Study of the AHP and TOPSIS Techniques for Dam Site Selection Using GIS: A Case Study of Sistan and Baluchestan Province, Iran. Geosciences, 8(12), 494. https://doi.org/10.3390/geosciences8120494
Karakuş, C. B., & Yıldız, S. (2022). GIS-multi criteria decision analysis-based land suitability assessment for dam site selection. International Journal of Environmental Science and Technology, 19(12), 12561–12580. https://doi.org/10.1007/s13762-022-04323-4
Luís, A. D. A., & Cabral, P. (2021). Small dams/reservoirs site location analysis in a semi-arid region of Mozambique. International Soil and Water Conservation Research, 9(3), 381–393. https://doi.org/10.1016/j.iswcr.2021.02.002
Malczewski, J. (2006). GIS‐based multicriteria decision analysis: A survey of the literature. International Journal of Geographical Information Science, 20(7), 703–726. https://doi.org/10.1080/13658810600661508
Njiru, F. M., & Siriba, D. N. (2018). Site Selection for an Earth Dam in Mbeere North, Embu County—Kenya. Journal of Geoscience and Environment Protection, 06(07), 113–133. https://doi.org/10.4236/gep.2018.67009
Noori, A. M., Pradhan, B., & Ajaj, Q. M. (2019). Dam site suitability assessment at the Greater Zab River in northern Iraq using remote sensing data and GIS. Journal of Hydrology, 574, 964–979. https://doi.org/10.1016/j.jhydrol.2019.05.001
Nzelibe, I. U., Akinboyewa, T. E., Nzelibe, T. N., & Inekwe, G. G. (2022). Geospatial Assessment of The Potentials of Rooftop Rainwater Harvest at The Federal University of Technology, Akure, Nigeria. FUOYE Journal of Engineering and Technology, 7(2), 249–256. https://doi.org/10.46792/fuoyejet.v7i2.839
Olujumoke, A. O., Folorunso, M. A., Valerie, G., & Christian, B. (2016). Descriptive analysis of rainfall and temperature trends over Akure, Nigeria. Journal of Geography and Regional Planning, 9(11), 195–202. https://doi.org/10.5897/JGRP2016.0583
Ouma, Y., & Tateishi, R. (2014). Urban Flood Vulnerability and Risk Mapping Using Integrated Multi-Parametric AHP and GIS: Methodological Overview and Case Study Assessment. Water, 6(6), 1515–1545. https://doi.org/10.3390/w6061515
Rincón, D., Khan, U., & Armenakis, C. (2018). Flood Risk Mapping Using GIS and Multi-Criteria Analysis: A Greater Toronto Area Case Study. Geosciences, 8(8), 275. https://doi.org/10.3390/geosciences8080275
Saaty, R. W. (1987). The analytic hierarchy process—What it is and how it is used. Mathematical Modelling, 9(3–5), 161–176. https://doi.org/10.1016/0270-0255(87)90473-8
Saaty, T. L. (1990). How to make a decision: The analytic hierarchy process. European Journal of Operational Research, 48(1), 9–26. https://doi.org/10.1016/0377-2217(90)90057-I
Saaty, T. L. (2008). Decision making with the analytic hierarchy process. International Journal of Services Sciences, 1(1), 83. https://doi.org/10.1504/IJSSCI.2008.017590
Shao, Z., Jahangir, Z., Muhammad Yasir, Q., Atta-ur-Rahman, & Mahmood, S. (2020). Identification of Potential Sites for a Multi-Purpose Dam Using a Dam Suitability Stream Model. Water, 12(11), 3249. https://doi.org/10.3390/w12113249
Wang, Y., Tian, Y., & Cao, Y. (2021). Dam Siting: A Review. Water, 13(15), 2080. https://doi.org/10.3390/w13152080
Winter, T. C., Harvey, J. W., Franke, O. L., & Alley, W. M. (1998). Ground water and surface water: A single resource (Report 1139; Circular). U.S. Geological Survey; USGS Publications Warehouse. https://doi.org/10.3133/cir1139
Yasser, M., Jahangir, K., & Mohmmad, A. (2013). Earth dam site selection using the analytic hierarchy process (AHP): A case study in the west of Iran. Arabian Journal of Geosciences, 6(9), 3417–3426. https://doi.org/10.1007/s12517-012-0602-x
There are 32 citations in total.
Details
Primary Language
English
Subjects
Geospatial Information Systems and Geospatial Data Modelling
Tata, H., Lateef, L., & Nzelibe, I. U. (2024). Optimizing Mini Dam Placement for Sustainable Water Management in FUTA: A GIS-MCDA Approach. Türk Uzaktan Algılama Ve CBS Dergisi, 5(1), 41-53. https://doi.org/10.48123/rsgis.1366317