A NUMERICAL FORMULA AND COST BENEFIT OF GROUNDWATER RECHARGE IN MAIDUGURI, NIGERIA

Authors

  • M. D. IDI Land, Air and Water Consulting, F6 Ibrahim Taiwo Estate, Baga Road, Maiduguri, Borno State, Nigeria
  • T. A. ALADESANMI Information Technology and Communications Unit, Obafemi Awolowo University, Ile- Ife, Nigeria
  • S. LUKMAN Civil Engineering Department, University of Hafr Al-Batin, Hafr Al-Batin, Saudi Arabia
  • M. A. ASANI 4 Department of Urban and Regional Planning, Ladoke Akintola University Technology, Ogbomoso, Nigeria
  • Y. M. USMAN Department of Agricultural Engineering, Ramat Polyechnic Maiduguri
  • I. A. OKE Department of Civil and Environmental Engineering, Elizade University, Ilara- Mokin, Nigeria

Keywords:

Groundwater recharge, soil –moisture, , numerical solution, Microsoft Excel Solver, Maiduguri

Abstract

In this paper, relationship between rainfall and groundwater recharge (GR)  was established and evaluated with cost benefit. Rainfall measured in Maiduguri, Nigeria was used to fix the unknown constants of the numerical formula (NF) using Microsoft Excel Solver. The constants were used to establish NF. The NF was used to estimate GR from the rainfall. Accuracy of the NF was evaluated statistically (relative error; the degree of accuracy, numerical reliability, Model of Selection Criterion (MSC) and Akaike Information Criterion (AIC)) and compared with the formulae in use using field GR Uttar Pradesh (UP) method as the reference GR. A basic cost benefit of GR was conducted.

The study revealed that GR using the current models were similar to GR using  UP, Chaturvedi, Kumar and Seethapathi and Rao, but different in magnitude of GR. NF provided the lowest relative error of 0.146 %, the highest MSC of 13.436; the degree of accuracy of 99. 854 % and the lowest AIC of 43.348 with Rao formula having   highest relative error of 56.56 %, the lowest MSC of  0.96; the degree of accuracy of  43.44 % and the lowest AIC of 1403.43. The present average cost benefit of groundwater recharge in Maiduguri was found to be 619.60US $ m-2Yr-1. It was concluded that GR using the numerical formula is a promising tool for GR with minimum error in water resources management.

References

Adeleke, O. O, Makinde, V.; Ayobami O. E.;, Oluwaseun F. D., Akintayo O. O. and Taiwo J. A. (2015). Estimation of Groundwater Recharges Using Empirical Formulae in Odeda Local Government Area, Ogun State, Nigeria. Challenges, 6, 271-281

Akaike, H. (1976). An information criterion (AIC), Math. Sci. 14,1-5.

Akintola, J.O 1986 .: Rainfall Distribution in Nigeria 1892–1983, 1st edn. Impact Publishers Nigeria Ltd, Ibadan.

Ala-aho, P. , Rossi, P. M. and Kløve, B. 2015. Estimation of temporal and spatial variations in groundwater recharge in unconfined sand aquifers using Scots pine inventories. Hydrol. Earth Syst. Sci., 19, 1961–1976

Andreo, B., Vías, J., Durán, J. J., Jiménez, P., López-Geta, J. A., and Carrasco, F.(2008): Methodology for groundwater recharge assessment in carbonate aquifers: application to pilot sites in southern Spain, Hydrogeol. J., 16, 911–925, 2008

Asani, M. A. Lukman, S. and Oke, I.. A 2019. Application of Software in Soil and Groundwater Recharge Estimation in Ilorin Nigeria: Application of Software in Soil and Groundwater

Brian F. T., Ali B. and James S. F.(2016) Precipitation Intensity Effects on Groundwater Recharge in the Southwestern United States. Water, 8, 90- 105
Chandra, S. 1979. Groundwater studies project. Final report, School of Hydrology, University of Roorkee publication.

Chaturvedi, R.S. (1973). A note on the investigation of ground water resources in western districts of Uttar Pradesh. In Annual Report. U.P. Irrigation Research Institute. pp. 86-122.

Dripps, W. R. and Bradbury, K. R.(2010): The spatial and temporal variability of groundwater recharge in a forested basin in northern Wisconsin, Hydrol. Process., 24, 383–392

Hartmann, A., Lange, J.,Weiler, M., Arbel, Y., and Greenbaum, N (2012).: A new approach to model the spatial and temporal variability of recharge to karst aquifers, Hydrol. Earth Syst. Sci., 16, 2219– 2231, doi:10.5194/hess-16-2219-2012.

Hartmann, A., Weiler, M., Wagener, T., Lange, J., Kralik, M., Humer, F., Mizyed, N., Rimmer, A., Barberá, J. A., Andreo, B., Butscher, C., and Huggenberger, P.( 2013) Process-based karst modelling to relate hydrodynamic and hydrochemical characteristics to system properties, Hydrol. Earth Syst. Sci., 17, 3305–3321.

Hui, Z., Xue, Z., Luobin W., Kai, W. and Wendong, W. 2018 Development of a software tool for teaching real‐time state simulation of water distribution networks, Computer Applications in Engineering Education, 26 (3), 577-588.

Islam, M. R, Anupam C., Kazi M. Islam, M. and Ziaur R. (2014). Development of rainfall recharge model for natural groundwater recharge estimation in Godagari Upazila of Rajshahi district, Bangladesh. American Journal of Civil Engineering, 2(2): 48-52

Islam, M. R, Anupam C., Kazi M. Islam, M. and Ziaur R. (2014). Development of rainfall recharge model for natural groundwater recharge estimation in Godagari Upazila of Rajshahi district, Bangladesh. American Journal of Civil Engineering, 2(2): 48-52

Islam, S.; Ram K. S. and Roohul A. K. (2015). Methods of Estimating Ground water Recharge. International Journal of Engineering Associates 5 (2), 6 – 13

Islam, S.; Ram K. S. and Roohul A. K. 2015 . Methods of Estimating Ground water Recharge. International Journal of Engineering Associates 5 (2), 6 – 13

Israil, M · M.,. Singha, D. C and Kumar, B 2016 . Groundwater-recharge estimation usinga surface electrical resistivity methodin the Himalayan foothill region, India. Hydrogeology Journal 2016) 14:44–5

Jumadi, Y. P. 2015. Development and Evaluation of Web GIS Application for Groundwater Management of Karanganyar Regency. Forum Geografi , Vol 29 (2) December 2015: 164-173

Kumar, C.P. (2000). Groundwater Assessment Methodology. 21: National Institute of Hydrology.

Kumar, C.P. and Seethapathi, P.V. (2002). Assessment of natural ground water recharge in upper Ganga canal command area. Journal of Applied Hydrology 15(4): 13-20.

Kung, W-J., Yeh, H-F., Lin, H-I., Chen, W-P. and Lee, C-H. (2013) ‘An approach to evaluate groundwater recharge from streamflow and groundwater records’, Geosciences Journal, Vol. 17, No. 3, pp.353–362.

Lukman, S, Asani, MA and Oke, I. A. (2018). Estimated Relationship for Groundwater Recharge from Rainfall in Sokoto, Nigeria. Nigerian Journal of Hydrologica1-Sciences. 6, 160 -172

Natarajan P., S. V. Kottiswaran, A. Balasubramanian and Palanikumaran B. 2018. Groundwater Recharge Estimation Using Comparison of Methods in Sirumugai Area of Coimbatore, Tamil Nadu, India. Int.J.Curr.Microbiol.App.Sci. 7(06): 1433-1440.

Oke , M.O. O. Martins, F. K. Salako and O. A. Idowu 2016. Estimation of Groundwater Rechargein the Lower-Ogun River Basin using Two indenpendat Methods. Nigerian Journal of Hydrological Sciences Vol: 181 – 200

Oke, I. A.; Lukman, S. and Ismail, A(2017). Development And Performance Evaluation Of A New Numerical Model For Groundwater Recharge Estimation. Nigeria Journal of Engineering , 23(2), 56 -65.

Oke, M.O. , Martins, O. , Idowu, O.A. and Aiyelokun, O. (2015). Comparative Analysis Of Groundwater Recharge Estimation Value Obtained Using Empirical Methods In Ogun And Oshun River Basins. Ife Journal of Science vol. 17(1), 53- 64

Qinghua, W., Guiling, W., Wei, Z., Haodong, C. and Wei Z. Estimation of Groundwater Recharge Using Tracers and Numerical Modeling in the North China Plain. Water 2016, 8, 353- 373

Rana C. and Ray, R K (2014). Assessment of Ground Water Resources: A Review of International PracticesA Review of International Practices. Govt. of India Ministry of Water Resources Central Ground Water Board. Faridabad

Sabri B., Lahbassi O. and Mehdi K. (2015). Combination of two evolutionary methods for groundwater recharges estimation in semi-arid regions, Northeastern Algeria. Int. J. Water, Vol. 9, No. 3, 286- 297

Scanlon, B. R., Healy, R.W., and Cook, P. G.: Choosing appropriate techniques for quantifying groundwater recharge, Hydrogeol. J., 10, 18–39, 2002.

Scanlon, B. R., Keese, K. E., Flint, A. L., Flint, L. E., Gaye, C. B., Edmunds, W. M., and Simmers, I.: Global synthesis of groundwater recharge in semiarid and arid regions, Hydrol. Process., 20, 3335–3370, 2006.

Seyed R.; Saghravani, I. Y., Sa’ar i M. and Seyed F. S. 2013 . Estimating Groundwater Recharge Using Empirical Method: A Case Study in the Tropical Zone Sains Malaysiana 42(5): 553–560

TetraTech 2016. Estimating Monetized Benefits of Groundwater Recharge from Stormwater Retention Practices. Prepared for United States Environmental Protection Agency Nonpoint Source Control Branch (4503T), 1200 Pennsylvania Avenue, NW Washington, DC 20460 Contract Number: EP-C-11-009

Umaru, A. B, Lukman, S, Oke, I. A And Umara, B.G 2018 .A New Numerical Method for Groundwater Recharge Estimation In Yola, Nigeria. A paper submitted to Arid Zone Journal of Engineering, Technology and Environment (AZOJETE)

Downloads

Published

2020-11-18