[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-123588-en":3,"doc-seo-123588-105":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},123588,1099513958762,"Logic","https://ap-avatar.wpscdn.com/avatar/1000023916a998db790?x-image-process=image/resize,m_fixed,w_180,h_180&k=1784791008015729253",8,"Research & Report","Assessment of Seismic Hazards in Underground Mine Operations using Machine Learning","Seismic hazards are key contributors to coal mining accidents, alongside fires, explosions, and landslips. Underground mines experience diverse seismic events such as rock bumps and tremors across multiple countries, where conventional monitoring still cannot deliver perfect prediction accuracy due to the complex seismic processes. Effective risk assessment requires discriminating seismicity across regions and improving forecasting reliability. The study applies machine learning classifiers to predict seismic hazards, supporting safer underground mine operations.","Assessment of Seismic Hazards in Underground Mine Operations using Machine Learning  \nPriti Shende1, Wankhede Vishal Ashok2, Suresh Limkar3, Mahadeo D. Kokate4, Santosh Lavate5, Ganesh Khedkar6  \n1Department of Electronics & Telecommunication Engineering, DYPIT, Pimpri, Pune, Maharastra, India  \n[priti.jawale@dypvp.edu.in](priti.jawale@dypvp.edu.in)  \n2Department of Electronics and Telecommunication Engineering, S.H.H.J.B. Polytechnic, Chandwad, Nashik  \nMaharastra, India  \n[wankhedeva@gmail.com](wankhedeva@gmail.com)  \n3Department of Artificial Intelligence & Data Science ,  \nAISSMS Institute of Information Technology, Pune  \nMaharastra, India  \n[sureshlimkar@gmail.com](sureshlimkar@gmail.com)  \n4Department of Electronics and Telecommunication Engineering, SNJBs K B Jain College of Engineering, Chandwad, Nashik  \nMaharastra, India  \n[mdkokate66@gmail.com](mdkokate66@gmail.com)  \n5Department of Electronics & Telecommunication,  \nAISSMS College of Engineering, Pune  \nMaharastra, India  \n[lavate.santosh@gmail.com](lavate.santosh@gmail.com)  \n6Senior Solution Architect, Fossgen Technologies Pvt. Ltd: Pune, Maharastra, India  \n[ganesh.khedkar@gmail.com](ganesh.khedkar@gmail.com)  \nAbstract  \nThe most common causes of coal mining accidents are seismic hazard, fires, explosions, and landslips. These accidents are usually caused by various factors such as mechanical and technical failures, as well as social and economic factors. An analysis of these accidents can help identify the exact causes of these accidents and prevent them from happening in the future. There are also various seismic events that can occur in underground mines. These include rock bumps and tremors. These have been reported in different countries such as Australia, China, France, Germany, India, Russia, and Poland. Through the use of advanced seismological and seismic monitoring systems, we can now better understand the rock mass processes that can cause a seismic hazard. Unfortunately, despite the advancements, the accuracy of these methods is still not perfect. One of the main factors that prevent the development of effective seismic hazard prediction techniques is the complexity ofthe seismic processes. In order to carry out effective seismic risk assessment in mines, it is important that the discrimination of seismicity in different regions is carried out. The widespread use of machine learning in analyzing seismic data, it provides reliability and feasibility for preventing major mishaps. This paper provides uses various machine learning classifiers to predict seismic hazards.  \nKeywords: Seismic activity, Seismic bumps, Tremor, Machine learning, underground mines.  \nI. INTRODUCTION  \nBesides being hazardous, mining has always been one of the most dangerous occupations. With the increasing demand for minerals and coal, safety in mines has become even more important. Some of these include accidents, roof fall, seismic hazards, dust, toxic gases, and high temperature[1] . The process of coal mining can cause severe risks to the mine's personnel and production. This is why it is important that the various hazards that are involved in the mining industry are studied and analyzed. Aside from these, other risks such as black lung and rock-bursts are also known to occur in coal mines[2] . These are very real issues that mining companies have to consider when it comes to providing safe working conditions for their employees. One of these is a seismic  \nhazard that occurs in underground mines[3] . This type of natural hazard is incredibly difficult to detect and predictable, making it one of the most common threats in the mining industry. Most challenging factors that mining companies have to consider when it comes to identifying and preventing these hazards is the presence of a seismic hazard[4] . Seismic monitoring and prediction [5]are the process that can be used to identify hidden risks and improve the safety ofmines. This method is commonly used to prevent fatal","cbCaiqqqSvw58Af6","https://ap.wps.com/l/cbCaiqqqSvw58Af6","pdf",464228,1,7,"English","en",105,"# I. INTRODUCTION\n## Seismic hazards and mining safety\n## Seismic monitoring and prediction\n## Role of machine learning","[{\"question\":\"Why are seismic hazards a major safety concern in underground coal mines?\",\"answer\":\"Seismic hazards can trigger or accompany serious accidents by causing dangerous seismic events such as rock bumps and tremors. Their natural occurrence and predictability challenges make them difficult to detect early.\"},{\"question\":\"What types of seismic events are discussed in the document?\",\"answer\":\"The document highlights rock bumps and tremors as common seismic events in underground mines, along with induced seismicity and related earthquakes caused by mining activities.\"},{\"question\":\"How does machine learning support seismic hazard prediction in underground mines?\",\"answer\":\"Machine learning classifiers analyze seismic monitoring data to predict the likelihood and severity of hazards, improving accuracy and reliability. The models can learn from variable and large datasets to capture patterns that may be hard for humans to discern.\"}]","Assessment of Seismic Hazards in Underground Mine Operations using Machine Learning | PDF",1785817509,18,{"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},"assessment-of-seismic-hazards-in-underground-mine-operations-using-machine-learning","",{"@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/assessment-of-seismic-hazards-in-underground-mine-operations-using-machine-learning/123588/",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","2026-08-04",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 are seismic hazards a major safety concern in underground coal mines?","Question",{"text":75,"@type":76},"Seismic hazards can trigger or accompany serious accidents by causing dangerous seismic events such as rock bumps and tremors. Their natural occurrence and predictability challenges make them difficult to detect early.","Answer",{"name":78,"@type":73,"acceptedAnswer":79},"What types of seismic events are discussed in the document?",{"text":80,"@type":76},"The document highlights rock bumps and tremors as common seismic events in underground mines, along with induced seismicity and related earthquakes caused by mining activities.",{"name":82,"@type":73,"acceptedAnswer":83},"How does machine learning support seismic hazard prediction in underground mines?",{"text":84,"@type":76},"Machine learning classifiers analyze seismic monitoring data to predict the likelihood and severity of hazards, improving accuracy and reliability. 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