Python-Driven Multivariate Analysis for Sustainable Irrigation Water

Language: English

Published by LAP LAMBERT Academic Publishing Jan 2026, 2026

6209506372 / 9786209506376

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This item is printed on demand - Print on Demand Titel. Neuware -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.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 52 pp. Englisch.

Seller Inventory # 9786209506376

Title
Python-Driven Multivariate Analysis for Sustainable Irrigation Water
Author
Jakir Hussain K. N.
Publisher
LAP LAMBERT Academic Publishing Jan 2026
Publication year
2026
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
6209506372
ISBN 13
9786209506376
Item weight
96 grams
Dimensions
220x150x4 mm

buchversandmimpf2000

Emtmannsberg, BAYE, Germany

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