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

Bangladesh Coastal region Data mining Groundwater resource Phosphate Spherical semivariogram

Journal

The Science of the total environment
ISSN: 1879-1026
Titre abrégé: Sci Total Environ
Pays: Netherlands
ID NLM: 0330500

Informations de publication

Date de publication:
04 Sep 2024
Historique:
received: 11 07 2024
revised: 19 08 2024
accepted: 02 09 2024
medline: 7 9 2024
pubmed: 7 9 2024
entrez: 6 9 2024
Statut: aheadofprint

Résumé

The groundwater (GW) resource plays a central role in securing water supply in the coastal region of Bangladesh and therefore the future sustainability of this valuable resource is crucial for the area. However, there is limited research on the driving factors and prediction of phosphate concentration in groundwater. In this work, geostatistical modeling, self-organizing maps (SOM) and data-driven algorithms were combined to determine the driving factors and predict GW phosphate content in coastal multi-aquifers in southern Bangladesh. The SOM analysis identified three distinct spatial patterns: K

Identifiants

DOI: 10.1016/j.scitotenv.2024.176024 PMID: 39241889
pubmed: 39241889
pii: S0048-9697(24)06180-1
doi: 10.1016/j.scitotenv.2024.176024
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

176024

Informations de copyright

Copyright © 2024. Published by Elsevier B.V.

Auteurs

Md Abdullah-Al Mamun (MA)

Department of Data Science, Tampere University, Finland.

Abu Reza Md Towfiqul Islam (ARMT)

Department of Disaster Management, Begum Rokeya University, Rangpur 5400, Bangladesh; Department of Development Studies, Daffodil International University, Dhaka 1216, Bangladesh. Electronic address: towfiq_dm@brur.ac.bd.

Mst Nazneen Aktar (MN)

Department of Disaster Management, Begum Rokeya University, Rangpur 5400, Bangladesh.

Md Nashir Uddin (MN)

Department of Civil Engineering, Dhaka University of Engineering and Technology, Gazipur, Bangladesh.

Md Saiful Islam (MS)

Department of Soil Science, Patuakhali Science and Technology University, Dumki, Patuakhali 8602, Bangladesh.

Subodh Chandra Pal (SC)

Department of Geography, The University of Burdwan, Purba Bardhaman, West Bengal 713104, India.

Aznarul Islam (A)

Department of Geography, Aliah University, 17 Gora Chand Road, Kolkata 700 014, India.

A B M Mainul Bari (ABMM)

Department of Industrial and Production Engineering, Bangladesh University of Engineering and Technology, Dhaka 1000, Bangladesh.

Abubakr M Idris (AM)

Department of Chemistry, College of Science, King Khalid University, Abha 62529, Saudi Arabia; Research Center for Advanced Materials Science (RCAMS), King Khalid University, Abha, Saudi Arabia.

Venkatramanan Senapathi (V)

PG and Research Department of Geology, National College (Autonomous), Tiruchirappalli 620001, Tamil Nadu, India. Electronic address: venkatramanan@nct.ac.in.

Classifications MeSH