Predicting groundwater phosphate levels in coastal multi-aquifers: A geostatistical and data-driven approach-Reference-Cited by-同舟云学术

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Predicting groundwater phosphate levels in coastal multi-aquifers: A geostatistical and data-driven approach

Published:2024-11 Issue: Volume:953 Page:176024
ISSN:0048-9697
Container-title:Science of The Total Environment
language:en
Short-container-title:Science of The Total Environment

Author:

Mamun Md. Abdullah-Al,Islam Abu Reza Md Towfiqul^ORCID,Aktar Mst. Nazneen,Uddin Md Nashir,Islam Md. Saiful,Pal Subodh Chandra,Islam Aznarul,Bari A.B.M. Mainul,Idris Abubakr M.^ORCID,Senapathi Venkatramanan

Funder

King Khalid University Deanship of Scientific Research

Publisher

Elsevier BV

Reference184 articles.

1. Hydrochemical characterization of ground and surface water for irrigation application in Nigeria: a review of progress;Abugu;Chem. Afr.,2024

2. Hydrochemistry and quality assessment of groundwater in the Ardabil area, Iran;Aghazadeh;Appl Water Sci,2017

3. Hydrogeochemical characterization and quality evaluation of groundwater suitability for domestic and agricultural uses in the state of Qatar;Ahmad;Groundw. Sustain. Dev.,2020

4. Ensemble machine learning of gradient boosting (XGBoost, LightGBM, CatBoost) and attention-based CNN-LSTM for harmful algal blooms forecasting;Ahn;Toxins,2023

5. Performance of spatial interpolation methods in predicting GNSS zenith total delay;Akar;Measurement,2024

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