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<p>Prediction of Ground Water Level using SVM-WOA Approach: A Case Study</p>

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Title Statement <p>Prediction of Ground Water Level using SVM-WOA Approach: A Case Study</p>
 
Added Entry - Uncontrolled Name Satapathy, Deba Prakash; Department of Civil Engineering, OUTR Bhubaneswar, 753 014, Odisha, India
Sahoo, Sujeet Kumar; Department of Civil Engineering, OUTR Bhubaneswar, 753 014, Odisha, India
 
Uncontrolled Index Term Groundwater level, OUAT, RBFN, Wilmott index
 
Summary, etc. <p>Reliable and accurate estimation of Groundwater Level (GWL) fluctuations is essential and vital for sustainable water resources management. Due to uncertainties and interdependencies in hydro-geological processes, GWL prediction is complex by the fact that fluctuation of GWL is extremely nonlinear and non-stationary. Utilising novel methods for accurately predicting GWL is of vital significance in arid regions. In present work, Support Vector Machine (SVM), in combination with Whale Optimisation Algorithm (SVM-WOA), is applied to forecast GWL in Bhubaneswar region (Odisha University of Agricultural Technology). Three quantitative statistical performance assessment indices, coefficient of determination (R<sup>2</sup>), Mean Squared Error (MSE), and Wilmott Index (WI), is used to assess model performances. Based on the assessment with conventional SVM and RBFN models, the performance of hybrid SVM-WOA model is preeminent. SVM-WOA is capable of predicting nonlinear behavior of GWLs. Proposed modelling technique can be applied in different regions for proper management of groundwater resources and provides significant information, at a short time scale, to estimate variability in groundwater at local level.</p> <p><strong> </strong></p>
 
Publication, Distribution, Etc. Journal of Scientific & Industrial Research
2023-02-09 21:08:13
 
Electronic Location and Access application/pdf
http://op.niscair.res.in/index.php/JSIR/article/view/70212
 
Data Source Entry Journal of Scientific & Industrial Research; ##issue.vol## 82, ##issue.no## 02 (2023)
 
Language Note en