[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-120049-en":3,"doc-seo-120049-105":30,"detail-sidebar-cat-0-en-105":91},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":4,"is_deleted":4,"is_public":20,"is_downloadable":20,"audit_status":20,"page_count":21,"language":22,"language_code":23,"site_id":24,"html_lang":23,"table_of_contents":25,"faqs":26,"seo_title":27,"seo_description":14,"update_tm":28,"read_time":29},120049,5909877438554,"Maeve","https://ap-avatar.wpscdn.com/avatar/5600025385ad2bf12a7?_k=1778553567797529272",8,"Research & Report","Groundwater Management Using IoT, Technology, Machine Learning, And Civil Engineering Approach","Groundwater is essential for industry, agriculture, and drinking water production, yet its management is increasingly challenged by climate change and rising demand. Conventional groundwater management methods often cannot deliver timely, real-time information or predictive insight, leading to ineffective decisions. This study proposes an integrated strategy combining IoT-enabled real-time monitoring, machine learning forecasting of patterns and anomalies, and civil engineering measures such as artificial recharge and advanced irrigation systems. The framework aims to improve monitoring accuracy, aquifer sustainability, and overall groundwater utilization while supporting long-term sustainable management.","Groundwater Management Using IoT, Technology, Machine Learning, And Civil Engineering Approach  \nEwemade Cornelius Enabulele 1, Peter Dayo Fakoyede 2, Moses Sodiq Sobajo 3, Eze Kelechi Nnaji 4, Oparinde Abdulsalam Olamilekan 5, Abdulmajid Ibrahim 6, Odenike Olumide Ayokanmi 2, Salaudeen Gafar 7, Mame Diarra Bousso Diouf 8  \n1 The Federal University of Technology Akure  \nP. M. B. 704, Akure, Ondo State, Nigeria  \n2 Federal University Oye-Ekiti  \nOye-Are Road, Oye Ekiti, Ekiti State, Nigeria  \n3 De Montfort University  \nThe Gateway House, Leicester, Leicestershire, LE1 9BH, United Kingdom  \n4 University of Nigeria, Nsukka  \nNsukka Road, 410001, Nsukka, Enugu State, Nigeria  \n5 Yaba College of Technology  \nHerbert Macaulay Road, Opposite WAEC office, Yaba, Lagos State, Nigeria  \n6 Ahmadu Bello University  \nP. M. B. 1045, Zaria Nigeria  \n7 Kwara State University  \nP.M .B. 1530 Ilorin, 23431, Malete, Kwara State, Nigeria  \n8 ESEBAT  \nRue de Ziguinchor Boulevard Sud Point E, Dakar Sénégal, Dakar, Senegal  \nDOI: 10.22178/pos.106-7  \nLCC Subject Category: T1-995  \nReceived 21.06.2024 Accepted 28.07.2024 Published online 31.07.2024  \nCorresponding Author:  \nEwemade Cornelius Enabulele  \n[ewemadeen@gmail.com](ewemadeen@gmail.com)  \n© 2024 The Authors. This article is licensed under a Creative Commons Attribution 4.0 License   \nAbstract. Groundwater is vital to industry, agriculture, and drinking water production. A growing amount of groundwater needs to be managed effectively because of the effects of climate change and growing demand. Conventional methods frequently prove inadequate for managing groundwater and tackling these issues. This study investigates how to use machine learning, Internet of Things (IoT) technologies, and civil engineering to create a more reliable and effective groundwater management strategy and Infrastructure in our environments. Real-time monitoring capabilities offered by IoT technology allow for ongoing data collection on groundwater levels, quality, and usage. Machine learning algorithms can use this data to forecast future patterns and anomalies, providing an initiative-taking groundwater management tool. Civil engineering solutions like artificial recharge and sophisticated irrigation systems are crucial for sustainable usage and replenishment. This paper thoroughly analyzes current developments in various domains and suggests a synergistic framework to improve groundwater management by fusing machine learning, IoT, and civil engineering. According to our research, integrating these technologies can maximize groundwater resource utilization, raise aquifer sustainability, and increase the accuracy of groundwater monitoring and forecasting. The suggested framework offers a comprehensive and innovative technological solution to overcome the shortcomings of current groundwater management techniques. Future  \nresearch should concentrate on improving integrated systems and investigating their applications across various geographical and climatic contexts to ensure the sustainable management of groundwater resources globally.  \nKeywords: Management of groundwater; The Internet of Things; Monitoring in real time; Machine learning; Civil engineering; Optimization of water resources; Adaptation to climate change.  \nINTRODUCTION  \nAs the primary water source for industrial processes, agricultural irrigation, and home use, groundwater is crucial to the world's water supply. The sustainable management of groundwater resources is not without its difficulties, though. Water availability and soil stability are threatened by over-extraction, which occurs when water is taken out more quickly than can be naturally supplied in our environments. Overextraction depletes aquifers and causes water tables to drop. Pollutants, including nitrates, heavy metals, and organic compounds, contaminate groundwater through industrial discharges, inappropriate waste management, and agricultural runoff. These contaminants pose a significant","cbCairEnQJfZmkaj","https://ap.wps.com/l/cbCairEnQJfZmkaj","pdf",364700,1,6,"English","en",105,"# Introduction\n## Objectives\n# Method\n## Data Acquisition and Monitoring","[{\"question\":\"Why is groundwater management becoming more difficult?\",\"answer\":\"Groundwater faces pressures from over-extraction, contamination, and climate change effects such as altered precipitation and droughts. Rising demand also increases the strain on available resources.\"},{\"question\":\"How does IoT contribute to groundwater monitoring in the proposed approach?\",\"answer\":\"IoT sensor networks enable continuous, real-time data collection on groundwater levels, quality, and usage. The data can be transmitted to centralized systems for analysis.\"},{\"question\":\"How do machine learning and civil engineering work together in this framework?\",\"answer\":\"Machine learning uses IoT data to forecast future conditions and detect anomalies. Civil engineering techniques such as artificial recharge and improved irrigation systems support sustainable replenishment and usage.\"}]","Groundwater Management Using IoT, Technology, Machine Learning, And Civil Engineering Approach | PDF",1785727879,15,{"code":4,"msg":31,"data":32},"ok",{"site_id":24,"language":23,"slug":33,"title":13,"keywords":34,"description":14,"schema_data":35,"social_meta":86,"head_meta":88,"extra_data":90,"updated_unix":28},"groundwater-management-using-iot-technology-machine-learning-and-civil-engineering-approach","",{"@graph":36,"@context":85},[37,54,68],{"@type":38,"itemListElement":39},"BreadcrumbList",[40,44,48,51],{"item":41,"name":42,"@type":43,"position":20},"https://docshare.wps.com","Home","ListItem",{"item":45,"name":46,"@type":43,"position":47},"https://docshare.wps.com/document/","Document",2,{"item":49,"name":12,"@type":43,"position":50},"https://docshare.wps.com/document/research-report/",3,{"item":52,"name":13,"@type":43,"position":53},"https://docshare.wps.com/document/groundwater-management-using-iot-technology-machine-learning-and-civil-engineering-approach/120049/",4,{"url":52,"name":13,"@type":55,"author":56,"headline":13,"publisher":58,"fileFormat":61,"inLanguage":23,"description":14,"dateModified":62,"datePublished":62,"encodingFormat":61,"isAccessibleForFree":63,"interactionStatistic":64},"DigitalDocument",{"name":9,"@type":57},"Person",{"url":41,"name":59,"@type":60},"DocShare","Organization","application/pdf","2026-08-03",true,{"@type":65,"interactionType":66,"userInteractionCount":4},"InteractionCounter",{"@type":67},"ViewAction",{"@type":69,"mainEntity":70},"FAQPage",[71,77,81],{"name":72,"@type":73,"acceptedAnswer":74},"Why is groundwater management becoming more difficult?","Question",{"text":75,"@type":76},"Groundwater faces pressures from over-extraction, contamination, and climate change effects such as altered precipitation and droughts. Rising demand also increases the strain on available resources.","Answer",{"name":78,"@type":73,"acceptedAnswer":79},"How does IoT contribute to groundwater monitoring in the proposed approach?",{"text":80,"@type":76},"IoT sensor networks enable continuous, real-time data collection on groundwater levels, quality, and usage. The data can be transmitted to centralized systems for analysis.",{"name":82,"@type":73,"acceptedAnswer":83},"How do machine learning and civil engineering work together in this framework?",{"text":84,"@type":76},"Machine learning uses IoT data to forecast future conditions and detect anomalies. Civil engineering techniques such as artificial recharge and improved irrigation systems support sustainable replenishment and usage.","https://schema.org",{"og:url":52,"og:type":87,"og:title":13,"og:site_name":59,"og:description":14},"article",{"robots":89,"canonical":52},"index,follow",{"doc_id":7,"site_id":24},{"code":4,"msg":5,"data":92},[93,97,101,105,110,114,119,122,127,130,134],{"id":20,"doc_module":4,"doc_module_name":46,"category_name":94,"show_sort_weight":95,"slug":96},"Story & Novel",90,"story-novel",{"id":47,"doc_module":4,"doc_module_name":46,"category_name":98,"show_sort_weight":99,"slug":100},"Literature",80,"literature",{"id":53,"doc_module":4,"doc_module_name":46,"category_name":102,"show_sort_weight":103,"slug":104},"Exam",70,"exam",{"id":106,"doc_module":4,"doc_module_name":46,"category_name":107,"show_sort_weight":108,"slug":109},5,"Comic",60,"comic",{"id":21,"doc_module":4,"doc_module_name":46,"category_name":111,"show_sort_weight":112,"slug":113},"Technology",50,"technology",{"id":115,"doc_module":4,"doc_module_name":46,"category_name":116,"show_sort_weight":117,"slug":118},7,"Healthcare",40,"healthcare",{"id":11,"doc_module":4,"doc_module_name":46,"category_name":12,"show_sort_weight":120,"slug":121},30,"research-report",{"id":123,"doc_module":4,"doc_module_name":46,"category_name":124,"show_sort_weight":125,"slug":126},9,"Religion & Spirituality",20,"religion-spirituality",{"id":125,"doc_module":4,"doc_module_name":46,"category_name":128,"show_sort_weight":125,"slug":129},"World Cup","world-cup",{"id":131,"doc_module":4,"doc_module_name":46,"category_name":132,"show_sort_weight":131,"slug":133},10,"Lifestyle","lifestyle",{"id":135,"doc_module":4,"doc_module_name":46,"category_name":136,"show_sort_weight":106,"slug":137},19,"General","general"]