GIS-Based Sub-Basin Scale Identification of Dominant Runoff Processes for Soil and Water Management in Anambra Area of Nigeria

• Autorzy: Fagbohun B. J. , Olabode O. F. , Adebola A. O. , Akinluy F. O.

Identyfikatory

DOI

10.1515/ctg-2017-0007

• Języki publikacji: EN

Abstrakty

EN

Identifying landscapes having comparable hydrological characteristics is valuable for the determination of dominant runoff process (DRP) and prediction of flood. Several approaches used for DRP-mapping vary in relation to data and time requirement. Manual approaches which are based on field investigation and expert knowledge are time demanding and difficult to implement at regional scale. Automatic GIS-based approach on the other hand require simplification of data but is easier to implement and it is applicable on a 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 should be considered to ensure continued sustainable utilization of groundwater in the study area.

Słowa kluczowe

EN

dominant runoff process; GIS; remote sensing

PL

proces; odpływ; GIS; teledetekcja

• Wydawca: De Gruyter
• Czasopismo: Contemporary Trends in Geoscience
• Rocznik: 2017
• Tom: Vol. 6, iss. 2
• Strony: 80--93
• Opis fizyczny: Bibliogr. 40 poz., rys., tab., wykr.

Twórcy

autor

Fagbohun B. J.

• Department of Remote Sensing and Geoscience Information System, Federal University of Technology, P.M.B 704, Akure, Nigeria

autor

Olabode O. F.

• Department of Applied Geology, Federal University of Technology, P.M.B 704, Akure, Nigeria

autor

Adebola A. O.

• Department of Remote Sensing and Geoscience Information System, Federal University of Technology, P.M.B 704, Akure, Nigeria

autor

Akinluy F. O.

• Department of Remote Sensing and Geoscience Information System, Federal University of Technology, P.M.B 704, Akure, Nigeria

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