Role of Artificial Intelligence (AI) in Combined Disaster Management

M. Arfan, Zara Khan, Nael Qadri, M. H. Hameed, Abdul Rehman Amir
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引用次数: 1

Abstract

Disaster management is an important part in case of catastrophe for the wellbeing of humanity to save them from severe effects. For active disaster management combined approaches may be used such as applications of artificial intelligence, e.g. geographical analysis, risk mapping and tracking, obscure sensing ability, advance technologies for drone and machine learning and urban planning based on smart cities technology, analysis of hotspots and analysis of environmental impacts are modern technologies which needs to be studied more in the context of disaster management. Researchers of social sciences used different procedures and technology to analyze the hazards, risks and catastrophe between disciplinal.They utilized empirical and evaluative collection of data and itsanalysis techniques. The current study is an overview of present applications of AI being helpful in disaster management throughout its tetrahedral states. AI is important in all states of disaster management as it's a faster solution than other technologies. Integration of two basic supportive tools which are Remote Sensing (RS) and Geographically Information System (GIS) in disaster management provides higher level of planning and its analysis. It can help authorities to take quick and effective decisions in case of natural disaster.
人工智能(AI)在综合灾害管理中的作用
灾害管理是灾难发生时人类福祉的重要组成部分,可以使人类免受严重影响。对于主动灾害管理,可以采用人工智能的应用,如地理分析、风险测绘和跟踪、模糊感知能力、无人机和机器学习的先进技术以及基于智慧城市技术的城市规划等组合方法,热点分析和环境影响分析是灾害管理背景下需要更多研究的现代技术。社会科学研究者采用不同的程序和技术来分析学科间的危害、风险和巨灾。他们利用经验和评估收集数据及其分析技术。目前的研究概述了人工智能在整个四面体状态下有助于灾害管理的当前应用。人工智能在灾难管理的所有状态中都很重要,因为它比其他技术更快。遥感和地理信息系统这两种基本辅助工具在灾害管理中的整合提供了更高水平的规划和分析。它可以帮助当局在发生自然灾害时做出快速有效的决定。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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