Identifying landscapes with similar hydrological characteristics is useful for the determination of dominant runoff process (DRP) and flood prediction. Several approaches used for DRP-mapping differ in respect to time and data requirement. Manual approaches based on field investigation and expert knowledge are time consuming and difficult to implement at regional scale. Automatic GIS-based approach on the other hand require simplification of data but are easier to implement and it is applicable on regional scale. In this study, GIS-based automated approach was used to identify the DRPs in Anambra area. The result showed that Hortonian Overland Flow (HOF) has the highest coverage of 1508.3 Km2 (33.5%) followed by Deep Percolation (DP) with coverage of 1455.3 Km2 (32.3%). Subsurface Flow (SSF) is the third dominant runoff process covering 920.6 Km2 (20.4%) while Saturated Overland Flow (SOF) covers the least area of 618.4 Km2 (13.7%) of the study area. The result reveal that considerable amount of precipitated water would be infiltrated into the subsurface through deep percolation process contributing to groundwater recharge in the study area. However, it is envisaged that HOF and SOF will continue to increase due to the continuous expansion of built-up area. With the expected increase in HOF and SOF and the change in rainfall pattern associated with perpetual problem of climate change, it is paramount that groundwater conservation practices be considered to ensure continued sustainable utilization of groundwater in the study area.
Aladejana, O. O., Anifowose, A. Y. B., and Fagbohun, B. J. 2016. Testing the ability of an empirical hydrological model to verify a knowledge based groundwater potential zone mapping methodology. Modelling Earth Systems and Environment, 2: 174. doi 10.1007/s40808-016-0234-3
Antonetti, M., Buss, R., Scherrer, S., Margreth, M., and Zappa, M. 2016. Mapping dominant runoff processes: an evaluation of different approaches using similarity measures and synthetic runoff simulations. Hydrol. Earth Syst. Sci., 20, 2929-2945. doi:
Bonell, M.1998. Selected challenges in runoff generation research in forests from the hillslope to headwater drainage basin scale. Journal of the American Water Resources Association 34 (4), 765-785.
Faeh, A. O. 1997. Understanding the processes of discharge formation under extreme precipitation; A study based on the numerical simulation of hillslope experiments, Mitteilung der Versuchsanstalt für Wasserbau, Hydrology und Glaciology, ETH Zürich, 150.
Fagbohun, B. J., Anifowose, A. Y. B., Odeyemi, C., Aladejana, O. O., and Aladeboyeje, A. I. 2016. GIS-based estimation of soil erosion rates and identification of critical areas in Anambra sub-basin, Nigeria. Modelling Earth Systems and Environment, 2: 159. doi 10.1007/s40808-016-0218-3
Gharari, S., Hrachowitz, M., Fenicia, F., and Savenije, H. H. G. 2011. Hydrological landscape classification: investigating the performance of HAND based landscape classifications in a central European meso-scale catchment, Hydrol. Earth Syst. Sci., 15, 3275-3291, doi:
Gideon, Y. B., Fatoye, F. B., and Omada, J. I. 2014. Sedimentological characteristics and geochemistry of Ajali Sandstone exposed at Ofe-Jiji and environs northern Anambra Basin, Nigera. Research Journal of Environmental and Earth Sciences, 6(1), 10-17.
Gliński, J., Horabik, J., and Lipiec, J. (Eds). 2011. Encyclopaedia of Agrophysics. Institute of Agrophysics, Polish Academy of Sciences, Lublin, Poland.
Hümann, M. and Müller, C. 2013. Improving the GIS-DRP approach by means of delineating runoff characteristics with new discharge relevant parameters, ISPRS International Journal of Geo- Information, 2, 27-49, doi:
Igwe, C. A. 2012. Gully Erosion in Southeastern Nigeria: Role of Soil Properties and Environmental Factors. In Research on Soil Erosion. Danilo Godone (Ed), InTech, doe; 10.5772/51020
Müller, C., Hellebrand, H., Seeger, M., and Schobel, S. 2009. Identification and regionalization of dominant runoff processes - a GIS-based and a statistical approach. Hydrol. Earth Syst. Sci., 13, 779-792, 2009.
Naef, F., Scherrer, S., and Weiler, M. 2002. A process based assessment of the potential to reduce flood runoff by land use change. Journal of Hydrology 267, 74-79.
Nigerian Geologic Survey Agency. 2006. Geological Map of Nigeria Nwajide, C. S. 1990. Cretaceous sedimentation and palaeogeography of Central Bnue Trough. In C. O. Ofoegbu (Ed.), The Benue Trough Structure and Evolution. (pp. 19-38). Braunchweig/Wiesbaden: Friedr. Viewed and Sohn
Oboh-Ikuenobe, F. E., Obi, C. G., and Jaramillo, C. A. 2005. Lithofacies, palynofacies, and sequence stratigraphy of Palaeogene strata in Southeastern Nigeria. Journal of African Earth Sciences, 41, 79-101
Offodile, M. E. 2014. Hydrogeology: Ground water study and development in Nigeria. Third Edition. Mecon Geology & Engineering Services Ltd. ISBN: 978-30956-4-1
Ofomata, G. E. K. 1981. Actual and potential erosion in Nigeria and measures for control. Soil Science Society of Nigeria Special Monograph, 1, 151-165.
Onwuka, S. U., Okoye, C. O., and Nwogbo, N. 2012. The place of soil characteristics on soil erosion in Nanka and Ekwulobia communities in Anambra State. Journal of Environmental Management and Safety, 3(3), 31-50.
Reyment, R. A. 1965. Aspect of the Geology of Nigeria. University of Ibadan Press, Nigeria.
Sharma, T., Satya, K. P. V., Singh, T. P., Trivedi, A. V., Navalgund, R. R. (2001). Hydrologic Response of a watershed to land use changes. Int J Remote Sens 22(11):2095-2108
Scherrer, S. and Naef, F. 2001. A decision scheme to identify dominant flow processes at the plotscale for the evaluation of contributing areas at the catchment-scale, in: Runoff generation and implications for river basin modelling, edited by: Leibungut, C., Uhlenbrook, S., and McDonnell, J., (Freiburger Schriften fur Hydrology, 13), Freiburg, Germany, 11-16.
Scherrer, S. and Naef, F. 2003. A decision scheme to indicate dominant hydrological flow processes on temperate grassland, Hydrol. Process. 17, 391-401, doi:
Selvam S, Dar FA., Magesh, NS, Singaraja, C., and Venkatramanan, S. 2015. Application of remote sensing and GIS for delineating groundwater recharge potential zones of Kovilpatti Municipality, Tamil Nadu using IF technique. Earth Sci Inform. doe 10.1007/s12145-015-0242-2