Open AccessExploring the Spatial Variation of the Relationship between Land Use and Water Quality in a Drainage Basin Using Geographically Weighted Regression
Author(s) -
S. Azua,
Taiye Oluwafemi Adewuyi,
Lazarus Mustapha Ojigi,
O. J. Mudiare
Publication year - 2020
Publication title -
ghana journal of geography
Language(s) - English
Resource type - Journals
ISSN - 2821-8892
DOI - 10.4314/gjg.v12i2.7
Subject(s) - drainage basin , turbidity , hydrology (agriculture) , water quality , environmental science , drainage , structural basin , land use , sampling (signal processing) , spatial variability , regression analysis , linear regression , pollution , sample (material) , geography , statistics , mathematics , geology , cartography , ecology , chemistry , biology , paleontology , geotechnical engineering , filter (signal processing) , computer science , computer vision , chromatography
The focus of this study is to determine the relationship between land use and water quality in the River Mu drainage basin for effective water quality management. Various land uses in the study area were identified and mapped using Landsat 8 OLI of 2016. Water samples were also collected from 112 sample sites using Stratified Random Sampling methods. The samples were analysed in terms of physicochemical parameters using standard methods. The results of land use and water quality parameters were regressed using Geographically Weighted Regression (GWR) to determine whether there exist spatially varying relationships. The results revealed that the local R2 values varied between 0.0 and 0.5, indicating a weak relationship between land use and water pollution, except for mixed forest and pH which recorded local R2 values of 0.7 towards the western region of the study area. This shows that the relationship between the two variables varied spatially across the drainage basin. The one-sample Kolmogorov Smirmov test-p<0.05 revealed that there were significant differences in pH (0.00), EC (0.00), turbidity (0.001), TDS (0.048), DO (0.003), NH4+ (0.002), Ca2+ (0.00), Cl- (0.036), Fe3+ (0.00) and Cr2+ (0.039) across the different sample points, whereas K+ (0.134), PO43- (0.715) and NO3- (0.501) were not significantly different across the different sample points. The study recommended that the procedure for water management be localized to sub-catchment and basin levels, to provide adequate attention to each sub-catchment depending on the level and nature of pollution identified.