date: 2026-03-19T00:16:38Z pdf:PDFVersion: 1.7 pdf:docinfo:title: A novel spatiotemporal and machine learning framework for sustainable groundwater monitoring and management xmp:CreatorTool: Elsevier access_permission:can_print_degraded: true subject: Groundwater for Sustainable Development, 33 (2026) 101612. doi:10.1016/j.gsd.2026.101612 language: English dc:format: application/pdf; version=1.7 pdf:docinfo:custom:robots: noindex pdf:docinfo:creator_tool: Elsevier access_permission:fill_in_form: true pdf:docinfo:custom:CreationDate--Text: 19th March 2026 pdf:encrypted: false dc:title: A novel spatiotemporal and machine learning framework for sustainable groundwater monitoring and management modified: 2026-03-19T00:16:38Z cp:subject: Groundwater for Sustainable Development, 33 (2026) 101612. doi:10.1016/j.gsd.2026.101612 pdf:docinfo:custom:CrossMarkDomains[1]: elsevier.com robots: noindex pdf:docinfo:subject: Groundwater for Sustainable Development, 33 (2026) 101612. doi:10.1016/j.gsd.2026.101612 pdf:docinfo:creator: Sheraz Maqbool meta:author: Muhammad Imran Khan meta:creation-date: 2026-03-18T21:44:39Z created: 2026-03-18T21:44:39Z access_permission:extract_for_accessibility: true Creation-Date: 2026-03-18T21:44:39Z pdf:docinfo:custom:CrossMarkDomains[2]: sciencedirect.com ElsevierWebPDFSpecifications: 7.0.1 pdf:docinfo:custom:doi: 10.1016/j.gsd.2026.101612 Author: Muhammad Imran Khan producer: Acrobat Distiller 8.1.0 (Windows) pdf:docinfo:producer: Acrobat Distiller 8.1.0 (Windows) CreationDate--Text: 19th March 2026 doi: 10.1016/j.gsd.2026.101612 pdf:unmappedUnicodeCharsPerPage: 0 dc:description: Groundwater for Sustainable Development, 33 (2026) 101612. doi:10.1016/j.gsd.2026.101612 Keywords: Agriculture,Geographical information system (GIS),Groundwater,Interpolation,Machine learning (ML),Deep learning (DL) access_permission:modify_annotations: true dc:creator: Muhammad Imran Khan description: Groundwater for Sustainable Development, 33 (2026) 101612. doi:10.1016/j.gsd.2026.101612 dcterms:created: 2026-03-18T21:44:39Z Last-Modified: 2026-03-19T00:16:38Z dcterms:modified: 2026-03-19T00:16:38Z title: A novel spatiotemporal and machine learning framework for sustainable groundwater monitoring and management xmpMM:DocumentID: uuid:1b499bed-4ce8-4c0c-b682-0d58baae1cbe Last-Save-Date: 2026-03-19T00:16:38Z CrossMarkDomains[1]: elsevier.com pdf:docinfo:keywords: Agriculture,Geographical information system (GIS),Groundwater,Interpolation,Machine learning (ML),Deep learning (DL) pdf:docinfo:modified: 2026-03-19T00:16:38Z meta:save-date: 2026-03-19T00:16:38Z Content-Type: application/pdf X-Parsed-By: org.apache.tika.parser.DefaultParser creator: Muhammad Imran Khan dc:language: English dc:subject: Agriculture,Geographical information system (GIS),Groundwater,Interpolation,Machine learning (ML),Deep learning (DL) pdf:docinfo:custom:ElsevierWebPDFSpecifications: 7.0.1 access_permission:assemble_document: true xmpTPg:NPages: 16 pdf:charsPerPage: 3107 access_permission:extract_content: true access_permission:can_print: true CrossMarkDomains[2]: sciencedirect.com meta:keyword: Agriculture,Geographical information system (GIS),Groundwater,Interpolation,Machine learning (ML),Deep learning (DL) access_permission:can_modify: true pdf:docinfo:created: 2026-03-18T21:44:39Z