Assessment, classification and mapping of groundwater quality for agriculture in selected farm settlements of southwestern Nigeria

Author:

Folarin Gbolahan Muyiwa1ORCID,Badmus Biodun Suraj12,Akinyemi Olukayode Dewunmi12,Idowu Olufemi Abiola13,Oke Adebayo Olubukola14,Omodele Taiwo5,Badmus Ganiyu Olabode16

Affiliation:

1. a Environmental Systems and Climate Change Programme, Centre of Excellence in Agricultural Development and Sustainable Environment, Federal University of Agriculture, Abeokuta, P.M.B. 2240, Alabata Road, Abeokuta, Ogun State, Nigeria

2. b Department of Physics, College of Physical Sciences, Federal University of Agriculture, Abeokuta, P.M.B. 2240, Alabata Road, Abeokuta, Ogun State, Nigeria

3. c Department of Water Resources and Agrometeorology, College of Environmental Resources Management, Federal University of Agriculture, Abeokuta, P.M.B. 2240, Alabata Road, Abeokuta, Ogun State, Nigeria

4. d Land and Water Resources Management Programme & Agricultural and Environmental Engineering Unit, Obafemi Awolowo University, Institute of Agricultural Research and Training, Moor Plantation, P.M.B. 5029, Ibadan, Oyo State, Nigeria

5. e Land Information Network Office (LINO)/GIS Laboratory, Obafemi Awolowo University, Institute of Agricultural Research and Training, Moor Plantation, P.M.B. 5029, Ibadan, Oyo State, Nigeria

6. f Department of Mathematical and Physical Sciences, Afe Babalola University, km 8.5, along Afe Babalola Way, Ado-Ekiti, Ekiti State, Nigeria

Abstract

Abstract Good water quality is very vital to the productivity and sustainability of irrigated agriculture. The suitability for irrigation of groundwater samples collected and analyzed during dry and wet seasons from Ajegunle, Akufo and Eruwa farm settlements of southwestern Nigeria were assessed using several irrigation water quality indices (IWQIs). The parameters were analyzed statistically and subjected to correlation. Seasonal spatial distribution maps were generated via GIS. All the water samples from the three farm settlements were found to be mostly soft, fresh, excellent, and suitable for irrigation in both seasons. Meanwhile, soluble sodium percentage (SSP) and Kelley's Ratio (KR) revealed them as unsuitable while other parameters showed different degrees of suitability for different samples from different farm settlements in different seasons. Significant correlations were seen between the selected parameters in both seasons. The distribution maps reveal the spatial distributions of selected parameters within Ajegunle and Akufo farm settlements. Utilizing these findings will enhance systematic groundwater exploitation for irrigation within the settlements. Furthermore, systematic irrigation management practices and crop choices, based on the concentrations and distribution of the parameters viz-a-viz crop requirements should be considered to limit potential dangers that may arise with the use of the water over a long period.

Funder

Centre of Excellence in Agricultural Development and Sustainable Environment (CEADESE), Federal University of Agriculture, Abeokuta, Ogun State, Nigeria.

Publisher

IWA Publishing

Subject

Water Science and Technology

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