{"id":6395,"date":"2025-06-24T08:56:04","date_gmt":"2025-06-24T03:26:04","guid":{"rendered":"https:\/\/www.bhumipublishing.com\/jsri\/jsri-issue\/advanced-simulation-techniques-for-forest-fire-and-natural-hazard-prediction-a-computational-science-perspective\/"},"modified":"2025-06-24T08:56:04","modified_gmt":"2025-06-24T03:26:04","slug":"advanced-simulation-techniques-for-forest-fire-and-natural-hazard-prediction-a-computational-science-perspective","status":"publish","type":"jsri-issue","link":"https:\/\/www.bhumipublishing.com\/jsri\/jsri-issue\/advanced-simulation-techniques-for-forest-fire-and-natural-hazard-prediction-a-computational-science-perspective\/","title":{"rendered":"ADVANCED SIMULATION TECHNIQUES FOR FOREST FIRE AND NATURAL HAZARD PREDICTION: A COMPUTATIONAL SCIENCE PERSPECTIVE"},"content":{"rendered":"","protected":false},"excerpt":{"rendered":"<p>This paper synthesizes current advances in computational techniques for natural hazard simulation and showcases their application through real-world case studies from California, Australia, and the Himalayas. In doing so, it highlights key challenges such as data scarcity, model interpretability, and interoperability. The paper concludes with a discussion on future research directions, advocating for the development of hybrid models, ethical frameworks in AI-driven hazard forecasting, and interdisciplinary collaboration to enhance global resilience to natural disasters.<\/p>\n","protected":false},"featured_media":0,"parent":0,"menu_order":0,"template":"","issues_type":[40],"class_list":["post-6395","jsri-issue","type-jsri-issue","status-publish","hentry","issues_type-vol-11-4-2025","has-post-title","has-post-date","has-post-category","has-post-tag","has-post-comment","has-post-author",""],"ptb_metabox":{"ptb_jsri_issue_upload_pdf":{"url":["https:\/\/www.bhumipublishing.com\/jsri\/wp-content\/uploads\/2025\/06\/3.-Forest-Fire-Simulation.pdf"],"title":[""]},"ptb_jsri_issue_author":"Rajesh Kumar Mishra, Divyansh Mishra and Rekha Agarwal","ptb_jsri_issue_keywords":"Forest Fire Simulation, Natural Hazard Prediction, High-Performance Computing (HPC), Machine Learning (ML), Physics-Based Models, Remote Sensing, GIS, Physics-Informed Neural Networks (Pinns), Disaster Resilience, Environmental Modeling"},"ptb_taxonomy":{"issues_type":[{"term_id":40,"name":"Vol. 11 (4) 2025","slug":"vol-11-4-2025","term_group":0,"term_taxonomy_id":40,"taxonomy":"issues_type","description":"","parent":0,"count":11,"filter":"raw"}]},"ptb_featured_image":null,"builder_content":"","_links":{"self":[{"href":"https:\/\/www.bhumipublishing.com\/jsri\/wp-json\/wp\/v2\/jsri-issue\/6395","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.bhumipublishing.com\/jsri\/wp-json\/wp\/v2\/jsri-issue"}],"about":[{"href":"https:\/\/www.bhumipublishing.com\/jsri\/wp-json\/wp\/v2\/types\/jsri-issue"}],"wp:attachment":[{"href":"https:\/\/www.bhumipublishing.com\/jsri\/wp-json\/wp\/v2\/media?parent=6395"}],"wp:term":[{"taxonomy":"issues_type","embeddable":true,"href":"https:\/\/www.bhumipublishing.com\/jsri\/wp-json\/wp\/v2\/issues_type?post=6395"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}