Application of bagging and boosting ensemble machine learning techniques for groundwater potential mapping in a drought-prone agriculture region of eastern India

Environmental Sciences Europe, Journal Year: 2024, Volume and Issue: 36(1)

Published: Sept. 2, 2024

Groundwater is a primary source of drinking water for billions worldwide. It plays crucial role in irrigation, domestic, and industrial uses, significantly contributes to drought resilience various regions. However, excessive groundwater discharge has left many areas vulnerable potable shortages. Therefore, assessing potential zones (GWPZ) essential implementing sustainable management practices ensure the availability present future generations. This study aims delineate with high Bankura district West Bengal using four machine learning methods: Random Forest (RF), Adaptive Boosting (AdaBoost), Extreme Gradient (XGBoost), Voting Ensemble (VE). The models used 161 data points, comprising 70% training dataset, identify significant correlations between presence absence region. Among methods, (RF) (XGBoost) proved be most effective mapping potential, suggesting their applicability other regions similar hydrogeological conditions. performance metrics RF are very good precision 0.919, recall 0.971, F1-score 0.944, accuracy 0.943. indicates strong capability accurately predict minimal false positives negatives. (AdaBoost) demonstrated comparable across all (precision: recall: F1-score: accuracy: 0.943), highlighting its effectiveness predicting accurately; whereas, outperformed slightly, higher values metrics: (0.944), (0.971), (0.958), (0.957), more refined model performance. (VE) approach also showed enhanced performance, mirroring XGBoost's 0.958, 0.957). that combining strengths individual leads better predictions. potentiality zoning varied significantly, low accounting 41.81% at 24.35%. uncertainty predictions ranged from 0.0 0.75 area, reflecting variability need targeted strategies. In summary, this highlights critical managing resources effectively advanced techniques. findings provide foundation practices, ensuring use conservation beyond.

Language: Английский

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Hydrochemical composition and hydrodynamics as proxies to identify the stream water sources and pathways in high-altitude catchments

Applied Geochemistry, Journal Year: 2025, Volume and Issue: unknown, P. 106344 - 106344

Published: March 1, 2025

Language: Английский

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Appraisal of Groundwater Potential Zones at Melur in Madurai District (Tamil Nadu State) in India for Sustainable Water Resource Management

Water, Journal Year: 2025, Volume and Issue: 17(8), P. 1235 - 1235

Published: April 21, 2025

Overextraction of groundwater, as well rapidly changing land use patterns, climatic change, and anthropogenic activities, in the densely populated Melur Tamil Nadu state India, has led to aquifer degradation. This study maps groundwater potential (GWPZ) by evaluating 678 km2 this region Analytical Hierarchy Processes (AHP) using remote sensing GIS tools part SDG 6 for sustainable management drinking, irrigation, industrial uses future generations. Data information layers, such (a), topography (t), lineaments (l), land-use/land-cover (LuLc), soil (s), rainfall (r), drainage (d) characteristics, separated area between poor excellent zones with 361 or 53% remaining low GWP prospective zone covering only 9 (1.3% total area). The integrated approach GWPZ Water Quality Index (WQI) can effectively identify different based on their suitability extraction consumption better understanding. also evaluates performance three machine learning models, Random Forest (RF), Gradient Boosting, Support Vector Machine (SVM), a classification method same layers that govern potential. results indicate both RF model Boosting achieved 100% accuracy, while SVM had lower accuracy 50%. Performance metrics precision, recall, F1-score were analyzed assess effectiveness. findings highlight importance selection, dataset size, feature achieving optimal performance. Results system reserve, it requires adequate water resource strategies artificial recharge, pumping restriction, implementation tariffs sustainability.

Language: Английский

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Biodiversity Conservation as an Optimistic Approach to Tackle Climate Change in the Indian Himalayan Region

Published: Jan. 1, 2025

Language: Английский

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A review on temporal changes in the water quality of Leh Ladakh region (India): Impact of urbanization

Environmental Research and Technology, Journal Year: 2024, Volume and Issue: 7(4), P. 637 - 664

Published: June 2, 2024

Water is a valuable and limited resource in semi-arid regions like Ladakh. Effective management conservation of water are crucial to prevent negative consequences on the area's quality life. Since becoming Union territory, Leh, district Ladakh, has undergone rapid urbanization due its administrative status, air service facilities, tourism, increasing population. However, this tourism boom have resulted higher demand for decline quality. Glacial-fed primary source drinking agriculture As Ladakh become popular tourist destination, distribution been negatively affected. Construction hotels guest houses agricultural lands, could further harm Ladakh's fragile ecological environment. Due challenging terrain harsh conditions, there research region andare confined Leh only. Despite lack comprehensive information, review aims address three important questions: hydrochemistry resources, impact quality, existing gap significant areas resources. The objective establish fundamental data future contribute better understanding resources region.

Language: Английский

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Inventorying rock glaciers in the Western Himalaya, India, and assessing their hydrological significance

Geomorphology, Journal Year: 2024, Volume and Issue: unknown, P. 109514 - 109514

Published: Nov. 1, 2024

Language: Английский

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Enhancing tomato (Solanum lycopersicum) yield and nutrition quality through hydroponic cultivation with treated wastewater

Food Chemistry, Journal Year: 2024, Volume and Issue: 463, P. 141079 - 141079

Published: Sept. 3, 2024

Language: Английский

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