Impact of surficial factors on groundwater quality for irrigation using spatial techniques: emerging evidence from the northeast region of Ghana

The need for quality water in Africa for agriculture cannot be overemphasized amidst the current global water crises. The focus of this study sought to evaluate the quality of groundwater for irrigation purposes while unearthing the emerging challenges in the study area. In total, 202 groundwater sa...

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Main Authors: Prosper Kpiebaya, Abdul-Ganiyu Shaibu, Ebenezer Ebo Yahans Amuah, Raymond Webrah Kazapoe, Eliasu Salifu, Benjamin Wullobayi Dekongmen
Format: Article
Language:English
Published: IWA Publishing 2023-09-01
Series:H2Open Journal
Subjects:
Online Access:http://h2oj.iwaponline.com/content/6/3/387
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author Prosper Kpiebaya
Abdul-Ganiyu Shaibu
Ebenezer Ebo Yahans Amuah
Raymond Webrah Kazapoe
Eliasu Salifu
Benjamin Wullobayi Dekongmen
author_facet Prosper Kpiebaya
Abdul-Ganiyu Shaibu
Ebenezer Ebo Yahans Amuah
Raymond Webrah Kazapoe
Eliasu Salifu
Benjamin Wullobayi Dekongmen
author_sort Prosper Kpiebaya
collection DOAJ
description The need for quality water in Africa for agriculture cannot be overemphasized amidst the current global water crises. The focus of this study sought to evaluate the quality of groundwater for irrigation purposes while unearthing the emerging challenges in the study area. In total, 202 groundwater samples were collected, and several parameters were tested. The study employed QGIS and multi-criteria decision analysis to examine zones of suitable groundwater quality for agriculture. Findings from the study indicate that the primary water types were Na–HCO3 and Ca–HCO3. The overall accuracy (OV) of the land use land cover (LULC) map using the Random Forest (RF) algorithm was 94.5%. The analysis revealed that SpH influences GpH at p = 0.02891 (p < 0.05) and SOM and SOC influence GNO3 at p = 0.044 (p < 0.05). The overlay analysis spatially classified the groundwater in the study area into three categories of suitability with ariel coverage showing areas of good quality (1,534.34 km2), moderate quality (1,933.35 km2), and poor quality (1,815.21 km2). The results from this study uncovered that 72.33% of the samples were within the desirable limits and it can be concluded that the quality of groundwater in the area is acceptable for irrigation. HIGHLIGHTS This paper examines different surficial factors.; This study presents several cases (quality versus LULC, slope, and soil).; The paper examines the suitable areas for irrigation as per the available groundwater quality.;
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spelling doaj.art-1e8621abcf4e48ec99110bcde638abc02024-01-02T09:45:52ZengIWA PublishingH2Open Journal2616-65182023-09-016338740210.2166/h2oj.2023.156156Impact of surficial factors on groundwater quality for irrigation using spatial techniques: emerging evidence from the northeast region of GhanaProsper Kpiebaya0Abdul-Ganiyu Shaibu1Ebenezer Ebo Yahans Amuah2Raymond Webrah Kazapoe3Eliasu Salifu4Benjamin Wullobayi Dekongmen5 University for Development Studies – Nyankpala Campus, Tamale, Ghana 1882, Ghana University for Development Studies – Nyankpala Campus, Tamale, Ghana 1882, Ghana Department of Environmental Science, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana, Ghana Department of Geological Engineering, School of Engineering, University for Development Studies, P. O. Box TL 1350, Tamale, Ghana, Ghana University for Development Studies – Nyankpala Campus, Tamale, Ghana 1882, Ghana Department of Agricultural Engineering, Ho Technical University, P. O. Box HP 217, Ho, Ghana, Ghana The need for quality water in Africa for agriculture cannot be overemphasized amidst the current global water crises. The focus of this study sought to evaluate the quality of groundwater for irrigation purposes while unearthing the emerging challenges in the study area. In total, 202 groundwater samples were collected, and several parameters were tested. The study employed QGIS and multi-criteria decision analysis to examine zones of suitable groundwater quality for agriculture. Findings from the study indicate that the primary water types were Na–HCO3 and Ca–HCO3. The overall accuracy (OV) of the land use land cover (LULC) map using the Random Forest (RF) algorithm was 94.5%. The analysis revealed that SpH influences GpH at p = 0.02891 (p < 0.05) and SOM and SOC influence GNO3 at p = 0.044 (p < 0.05). The overlay analysis spatially classified the groundwater in the study area into three categories of suitability with ariel coverage showing areas of good quality (1,534.34 km2), moderate quality (1,933.35 km2), and poor quality (1,815.21 km2). The results from this study uncovered that 72.33% of the samples were within the desirable limits and it can be concluded that the quality of groundwater in the area is acceptable for irrigation. HIGHLIGHTS This paper examines different surficial factors.; This study presents several cases (quality versus LULC, slope, and soil).; The paper examines the suitable areas for irrigation as per the available groundwater quality.;http://h2oj.iwaponline.com/content/6/3/387irrigationmodelingqgissavannahspatialwater quality
spellingShingle Prosper Kpiebaya
Abdul-Ganiyu Shaibu
Ebenezer Ebo Yahans Amuah
Raymond Webrah Kazapoe
Eliasu Salifu
Benjamin Wullobayi Dekongmen
Impact of surficial factors on groundwater quality for irrigation using spatial techniques: emerging evidence from the northeast region of Ghana
H2Open Journal
irrigation
modeling
qgis
savannah
spatial
water quality
title Impact of surficial factors on groundwater quality for irrigation using spatial techniques: emerging evidence from the northeast region of Ghana
title_full Impact of surficial factors on groundwater quality for irrigation using spatial techniques: emerging evidence from the northeast region of Ghana
title_fullStr Impact of surficial factors on groundwater quality for irrigation using spatial techniques: emerging evidence from the northeast region of Ghana
title_full_unstemmed Impact of surficial factors on groundwater quality for irrigation using spatial techniques: emerging evidence from the northeast region of Ghana
title_short Impact of surficial factors on groundwater quality for irrigation using spatial techniques: emerging evidence from the northeast region of Ghana
title_sort impact of surficial factors on groundwater quality for irrigation using spatial techniques emerging evidence from the northeast region of ghana
topic irrigation
modeling
qgis
savannah
spatial
water quality
url http://h2oj.iwaponline.com/content/6/3/387
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