干旱区生态环境知识资源中心(Arid): Prediction of Ground Water Level using SVM-WOA Approach: A Case Study

Arid

DOI	10.56042/jsir.v82i2.70212
	Prediction of Ground Water Level using SVM-WOA Approach: A Case Study
	Satapathy, Deba Prakash; Sahoo, Sujeet Kumar
通讯作者	Satapathy, DP
来源期刊	JOURNAL OF SCIENTIFIC & INDUSTRIAL RESEARCH
ISSN	0022-4456
EISSN	0975-1084
出版年	2023
卷号	82 期号:2 页码:269-277
英文摘要	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-2), 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.
英文关键词	Groundwater level OUAT RBFN Wilmott index
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:000934162500014
WOS关键词	NEURAL-NETWORK ; SIMULATION
WOS类目	Engineering, Multidisciplinary
WOS研究方向	Engineering
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/397536
推荐引用方式 GB/T 7714	Satapathy, Deba Prakash,Sahoo, Sujeet Kumar. Prediction of Ground Water Level using SVM-WOA Approach: A Case Study[J],2023,82(2):269-277.
APA	Satapathy, Deba Prakash,&Sahoo, Sujeet Kumar.(2023).Prediction of Ground Water Level using SVM-WOA Approach: A Case Study.JOURNAL OF SCIENTIFIC & INDUSTRIAL RESEARCH,82(2),269-277.
MLA	Satapathy, Deba Prakash,et al."Prediction of Ground Water Level using SVM-WOA Approach: A Case Study".JOURNAL OF SCIENTIFIC & INDUSTRIAL RESEARCH 82.2(2023):269-277.