Abstract
Water is an essential natural resource that is vital for sustaining every form of life existence. Availability of groundwater is spatially and temporally dependent upon the terrain of an area. In order to improve efficiency and effectiveness in water availability, supply and use, the construction of water harvesting structures across streams/watersheds is gaining drive in recent years. The increase in demand for water has led to the construction of water storage dams for various purposes such as community and industrial use, irrigation, flood control, hydropower and river canalization. Safety is the key consideration than cost and capacity as the failure of a dam often results to severe loss of lives and properties, hence the need to consider some important criteria for suitable dam siting. In this study, potential sites for construction of dams in Imo State, Nigeria, have been identified by using geographical information system and remote sensing techniques which were integrated with fuzzy logic to achieve the study objectives. Climatic and geophysical factors such as rainfall, runoff, stream order, soil type, geology type and land use were considered. These factors assigned fuzzy membership classes according to their contribution in locating suitable dam sites. The fuzzy members for all the factors were combined using the fuzzy overlay technique to produce the suitable dam site selection map. Majority of the selected sites were located in the northwestern part of Imo State which is characterized by high elevation and gentle slope.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
References
Abellavia (2018) Prototype land cover map over Africa at 20 m released. Climate change initiative. European Space Agency. https://www.esa-landcover-cci.org/?q=node/187
Abushandi E, Alatawi S (2015) Dam site selection using remote sensing techniques and geographical information system to control flood events in Tabuk City. Hydrol Curr Res 6(1):189. https://doi.org/10.4172/2157-7587.1000189
Abushandi E, Merkel B (2011) Rainfall estimation over the Wadi Dhuliel arid catchment, Jordan from GSMaP_MVK+. Hydrol Earth Syst Sci 8:1665–1704. https://doi.org/10.5194/hessd-8-1665-2011
Adham A, Riksen M, Ouessar M, Ritsema C (2016) Identification of suitable sites for rainwater harvesting structures in arid and semi-arid regions: a review. Int Soil Water Conserv Res 4(2):108–120. https://doi.org/10.1016/j.iswcr.2016.03.001
Adham A, Sayl KN, Abed R, Abdeladhim MA, Wesseling JG, Riksen M, Fleskens L, Karim U, Ritsema CJ (2018) A GIS-based Approach for identifying potential sites for harvesting rainwater in the western desert of Iraq. Int Soil Water Conserv Res 6(4):294–304. https://doi.org/10.1016/j.iswcr.2018.07.003
Ahmadullah R, Dongshik K (2015) Assessment of potential dam sites in the Kabul river basin using GIS. Int J Adv Comput Sci Appl 6(2):83–89. https://doi.org/10.14569/IJACSA.2015.060213
Ajibade FO, Adewumi JR, Ojo OM, Babatola JO, Oguntuase AM (2015) Issues, challenges and management of water supply and sanitation in Nigeria: an overview. In: 13th International civil engineering conference and annual general meeting held at Kwara Hotel, Ilorin, Nigeria, October 28–30 2015, Nigerian Institution of Civil Engineers, pp 19–34
Akosile SI, Ajibade FO, Lasisi KH, Ajibade TF, Adewumi JR, Babatola JO, Oguntuase AM (2020) Performance evaluation of locally produced ceramic filters for household water treatment in Nigeria. Sci African 7:e00218. https://doi.org/10.1016/j.sciaf.2019.e00218
Dai X (2016) Dam site selection using an integrated method of AHP and GIS for decision making support in Bortala, Northwest China. Sölvegatan 12, S-223 62 Lund, Sweden, Department of Physical Geography and Ecosystem Science, Lund University
Danilenko A, Dickson E, Jacobsen M (2010) Climate change and urban water utilities: challenges and opportunities. Water Work Notes 24:54235
Esri (n.a.) Flow direction function. https://pro.arcgis.com/en/pro-app/help/data/imagery/flow-direction-raster-function.htm
Forzieri G, Gardenti M, Caparrini F, Castelli F (2008) 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. Phys Chem Earth 33:74–85
Ibrahim GRF, Rasul A, Hamid AA, Ali ZF, Dewana AA (2019) Suitable site selection for rainwater harvesting and storage case study using Dohuk Governorate. Water 11:864. https://doi.org/10.3390/w11040864
Ilori BA, Adewumi JR, Lasisi KH, Ajibade FO (2019) Qualitative assessment of some available water resources in Efon-Alaaye, Nigeria. J Appl Sci Environ Manag 23(1):29–34. https://doi.org/10.4314/jasem.v23i1.5
IPCC (2014) Summary for policymakers. In: Field CB, Barros VR, Dokken DJ, Mach KJ, Mastrandrea MD, Bilir TE, Chatterjee M, Ebi KL, Estrada YO, Genova RC, Girma B, Kissel ES, Levy AN, MacCracken S, Mastrandrea PR, White LL (eds) Climate change 2014: impacts, adaptation, and vulnerability. Part A: Global and sectoral aspects. Contribution of Working Group II to the fifth assessment report of the intergovernmental panel on climate change. Cambridge University Press, Cambridge, pp 1–32
Jozaghi A, Alizadeh B, Hatami M, Flood I, Khorrami M, Khodaei N, Tousi EG (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 8:494. https://doi.org/10.3390/geosciences8120494
Kite W, Pietroniro A (1996) Remote sensing applications in hydrological modelling. Hydrol Sci 41:563–591
Kumar M, Agarwal A, Bali R (2009) Delineation of potential sites for water harvesting structures using remote sensing and GIS. J Indian Soc Remote Sens 36:323–334
Liu J, Chen JM, Cihlar J (2003) Mapping evapotranspiration based on remote sensing: an application to Canada’s landmass. Water Resour Res 39(7):1189. https://doi.org/10.1029/2002WR001680
Mahmoud S (2014) Investigation of rainfall-runoff modeling for Egypt by using remote sensing and GIS integration. CATENA 120:111–121. https://doi.org/10.1016/j.catena.2014.04.011
Manugula SS, Veeranna B, Patel S (2015) Geo-spatial data foundation for dam sites. Int J Civil Eng Technol 6(7):59–66
Mugo GM, Odera PA (2019) Site selection for rainwater harvesting structures in Kiambu County-Kenya. Egypt J Remote Sens Space Sci 22(2):155–164. https://doi.org/10.1016/j.ejrs.2018.05.003
Nilsson A (1988) Groundwater dams for small-scale water supply, vol 69. Intermediate Technology Publications Limited, London
Noori A, Bonakdari H, Morovati K, Gharabaghi B (2018) The optimal dam site selection using a group decision-making method through fuzzy TOPSIS model. Environ Syst Decis 38:471–488. https://doi.org/10.1007/s10669-018-9673-x
Nwachukwu OM (2016) Characterization, classification and evaluation of soils of four geomorphic surfaces in Oguta Imo State, South Eastern Nigeria. Unpublished M.Sc. Thesis Submitted to the Postgraduate School, Department of Soil Science and Technology, Federal University of Technology, Owerri, pp 1–226
Nwachukwu PC, Okoro BC, Osuagwu JC, Nwankwo SI (2015) Correlation of surface geophysical and logging data of some selected boreholes in Imo State, South Eastern Nigeria. J Geogr Geol 7(4):1–6. https://doi.org/10.5539/jgg.v7n4p1
Nwosu LI, Nwankwo CN, Ekine AS (2013) Geoelectric investigation of the hydraulic properties of the aquiferous zones for evaluation of groundwater potentials in the complex geological area of Imo State, Nigeria. Asian J Earth Sci 6:1–15. https://doi.org/10.3923/ajes.2013.1.15
Onu NN, Ibezim CU (2004) Hydrogeophysical investigation of Southern Anambra Basin Nigeria. Global J Geolog Sci 2(2):221–233. https://doi.org/10.4314/gjgs.v2i2.18699
Opafola OT, Oladepo KT, Ajibade FO, David AO (2020) Potability assessment of packaged sachet water sold within a tertiary institution in southwestern Nigeria. J King Saud Univ Sci. https://doi.org/10.1016/j.jksus.2020.02.004
Rahimi S, Gholami SM, Raeini-Sarjaz M (2014) Estimation of actual evapotranspiration by using MODIS images (a case study: Tajan catchment). Arch Agron Soil Sci 6(5):695–709. https://doi.org/10.1080/03650340.2014.944904
Ramakrishnan D, Bandyopadhyay A, Kusuma K (2009) SCS-CN and GIS-based approach for identifying potential water harvesting sites in the Kali Watershed, Mahi River Basin. India J Earth Syst Sci 118(4):355–368. https://doi.org/10.1007/s12040-009-0034-5
Rezaei A, Karimi H, Zhan H (2017) The importance of understanding the hydrogeology and geochemistry of karst terrains for safely siting dams. J Cave Karst Stud 79(1):48–58. https://doi.org/10.4311/2016ES0121
Rockström J, Falkenmark M (2015) Increasing water harvesting in Africa. Nature 519:283–285
Salih S, Al-Tarif A (2012) Using of GIS spatial analyses to study the selected location for dam reservoir on Wadi Al-Jirnaf, West of Shirqat area. Iraq J Geogr Inf Syst 4(2):117–127. https://doi.org/10.4236/jgis.2012.42016
Sanyal J, Lu X (2004) Application of remote sensing in flood management with special reference to monsoon asia: a review. Nat Hazard 33(2):283–301. https://doi.org/10.1023/B:NHAZ.0000037035.65105.95
Sentinel Online (n.a.) SENTINEL-2. European Space Agency. https://sentinel.esa.int/web/sentinel/missions/sentinel-2
Sharma S (2006) Soil moisture estimation using active and passive microwave remote sensing techniques. Indian Instutute of Remote Sensing (IIRS), National Remote Sensing Agency, Department of Space, Andhra Universty, Dehraden
Singh P, Singh D, Litoria P (2009) Selection of suitable sites for water harvesting structures in Soankhad Watershed, Punjab using remote sensing and geographical information system (RS&GIS) approach—a case study. J Indian Soc Remote Sens 37(1):21–35. https://doi.org/10.1007/s12524-009-0009-7
Udoka NA, Onyemeziri AC, Duru IA (2016) Public participation in solid waste management practices within Owerri Urban of Imo State, Nigeria. Int J Sci Res 5(3):1749–1754
UN (2015) Water for a sustainable world. The United Nations World Water Development Report. United Nations
USGS (n.a.) USGS EROS archive-digital elevation-shuttle radar topography mission (SRTM) void filled. United States Geological Survey. https://www.usgs.gov/centers/eros/science/usgs-eros-archive-digital-elevation-shuttle-radar-topography-mission-srtm-void?qt-science_center_objects=0#qt-science_center_objects
Acknowledgements
The authors acknowledge the technical support provided by the Centre for Space Research and Applications, Federal University of Technology, Akure, Nigeria. This research received no specific grant from any funding agency in the public, commercial or not-for-profit sectors.
Author information
Authors and Affiliations
Corresponding author
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
About this article
Cite this article
Ajibade, T.F., Nwogwu, N.A., Ajibade, F.O. et al. Potential dam sites selection using integrated techniques of remote sensing and GIS in Imo State, Southeastern, Nigeria. Sustain. Water Resour. Manag. 6, 57 (2020). https://doi.org/10.1007/s40899-020-00416-5
Received:
Accepted:
Published:
DOI: https://doi.org/10.1007/s40899-020-00416-5