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Geoinformatics Approach to Water Allocation Planning and Prognostic Scenarios Sustainability: Case Study of Lower Benue River Basin, Nigeria

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Innovations in Smart Cities Applications Edition 3 (SCA 2019)

Abstract

Water allocation planning in an equitable and sustainable way is intrinsically complex. This study proposes a water resource allocation system using an integrated Soil and Water Assessment Tool and Water Evaluation and Planning tool (SWAT-WEAP) model for hydrological simulation and prognostic scenarios sustainability prediction. The study explores the use of Digital Elevation Model (DEM), soil and land raster image in deriving physiographic information for land degradation impact assessment, quantification of optimal water allocation and generation of minimum ecosystem water requirement. Consequently, the SWAT quantifies the catchment water yield before been allocated optimally based on percentage dependable flow rates of 70% and 85% reliability flow regime at Makurdi, Nigeria discharge station. The WEAP model assesses the water resources utilization following scenarios adaptation by riparian users. Both models performed satisfactorily for streamflow and water yield prediction and resource sharing both in the calibration and validation phases with a correlation coefficient (R2) of 0.57–0.74 and root squared error (RSR) of 0.66–0.82. The results show how drainage network, channel length, drainage boundary, slope, and sub-catchment geometric properties demonstrate Geographic Information Systems (GIS) utility in morphoclimatic impacts assessment as a data management, scenario analysis, and decision support tool in water management for the Lower Benue River Basin, Nigeria. Planners and decision-makers need to consider several integrated plans as alternatives to adapting to climate change impacts and anthropogenic human activities in resolving the unmet demands.

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Acknowledgments

We are grateful to the National Water Resources Capacity Building Network, North Central Regional Centre (NWRCBNet- NC) at the University of Ilorin, Ilorin, Nigeria who provided the required data and support for this research.

Author information

Authors and Affiliations

  1. Department of Water Resources and Environmental Engineering, University of Ilorin, Ilorin, Nigeria

    Zainab Abdulmalik, Adebayo Wahab Salami, Solomon Olakunle Bilewu & Ayanniyi Mufutau Ayanshola

  2. Department of Civil Engineering and Building Technology, Vaal University of Technology, Johannesburg, South Africa

    Oseni Taiwo Amoo

  3. ICT and Society Research Group, Department of Information Technology, Durban University of Technology, Durban, South Africa

    Abayomi Abdultaofeek & Israel Edem Agbehadji

Authors
  1. Zainab Abdulmalik
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  2. Adebayo Wahab Salami
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  3. Solomon Olakunle Bilewu
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  4. Ayanniyi Mufutau Ayanshola
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  5. Oseni Taiwo Amoo
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  6. Abayomi Abdultaofeek
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  7. Israel Edem Agbehadji
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Corresponding authors

Correspondence to Zainab Abdulmalik or Abayomi Abdultaofeek .

Editor information

Editors and Affiliations

  1. Faculty of Sciences and Techniques of Tangier, Mediterranean Association of Sciences and Technologies, Tangier, Morocco

    Mohamed Ben Ahmed

  2. Faculty of Sciences and Techniques of Tangier, Abdelmalek Essaadi University, Tangier, Morocco

    Anouar Abdelhakim Boudhir

  3. Polytechnic Institute of Castelo Branco, Castelo Branco, Portugal

    Domingos Santos

  4. Hassania School of Public Works, Casablanca, Morocco

    Mohamed El Aroussi

  5. Computer Engineering Department, Faculty of Engineering, Karabuk University, Karabük, Turkey

    İsmail Rakıp Karas

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Abdulmalik, Z. et al. (2020). Geoinformatics Approach to Water Allocation Planning and Prognostic Scenarios Sustainability: Case Study of Lower Benue River Basin, Nigeria. In: Ben Ahmed, M., Boudhir, A., Santos, D., El Aroussi, M., Karas, İ. (eds) Innovations in Smart Cities Applications Edition 3. SCA 2019. Lecture Notes in Intelligent Transportation and Infrastructure. Springer, Cham. https://doi.org/10.1007/978-3-030-37629-1_91

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  • DOI: https://doi.org/10.1007/978-3-030-37629-1_91

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  • Publisher Name: Springer, Cham

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  • Online ISBN: 978-3-030-37629-1

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