Python-Driven Multivariate Analysis for Sustainable Irrigation Water - Tapa blanda

K N, Jakir Hussain; B R, Jagadeesh; Channavar, Vijayakumari Raveendra

 
9786209506376: Python-Driven Multivariate Analysis for Sustainable Irrigation Water
Tapa blanda
ISBN 10: 6209506372 ISBN 13: 9786209506376
Editorial: LAP Lambert Academic Publishing, 2026

Sinopsis

This book presents an integrated Python-driven multivariate framework for comprehensive groundwater quality assessment with a strong focus on irrigation suitability. Using Northern Ranebennur taluk of Haveri district, Karnataka, as a case study, it combines hydrochemical analysis of 150 groundwater samples with bibliometric review and advanced machine-learning techniques to link field-scale observations with global research trends. Key parameters including pH, EC, TDS, SAR, TH, MAR, Kelley's Index, and irrigation water quality indices are analyzed to evaluate salinity, sodicity, and soil permeability hazards. Results indicate significant spatial variability, with groundwater ranging from fresh to brackish and a majority of samples classified as moderately suitable to unsuitable for irrigation under standard hazard diagrams. Bibliometric insights reveal evolving research priorities in groundwater quality management, while predictive models such as PCR, LASSO, Ridge Regression, and SVMR highlight the strengths and limitations of data-driven approaches, particularly for complex indices.

"Sinopsis" puede pertenecer a otra edición de este libro.

Editorial
LAP Lambert Academic Publishing
Año de publicación
2026
Idioma
Inglés
ISBN 10 
6209506372
ISBN 13 
9786209506376
Encuadernación
Tapa blanda
Número de páginas
52
Contacto del fabricante
no disponible
Persona responsable
no disponible