Prediction of groundwater level changes based on machine learning technique in highly groundwater irrigated alluvial aquifers of south-central Punjab, India-Reference-Cited by-同舟云学术

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Prediction of groundwater level changes based on machine learning technique in highly groundwater irrigated alluvial aquifers of south-central Punjab, India

Published:2024-10 Issue: Volume:135 Page:103603
ISSN:1474-7065
Container-title:Physics and Chemistry of the Earth, Parts A/B/C
language:en
Short-container-title:Physics and Chemistry of the Earth, Parts A/B/C

Author:

Gupta Sushindra Kumar^ORCID,Sahoo Sashikanta^ORCID,Sahoo Bibhuti Bhusan,Srivastava Prashant K.,Pateriya Brijendra,Santosh D.T.

Publisher

Elsevier BV

Reference100 articles.

1. Modeling long-term groundwater fluctuations by extreme learning machine using hydro-climatic data;Alizamir;Hydrological sciences journal,2018

2. Rapid flood inundation mapping and impact assessment using Sentinel-1 SAR data over Ghaggar River basin of Punjab, India;Arora;Journal of Earth System Science,2023

3. Forecasting of groundwater level fluctuations using ensemble hybrid multi-wavelet neural network-based models;Barzegar;Science of the Total Environment,2017

4. Water equity–Contrasting tourism water use with that of the local community;Becken;Water resources and industry,2014

5. Sectoral water use responses to droughts and heatwaves: analyses from local to global scales for 1990–2019;Belleza;Environmental Research Letters,2023

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