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An Overview of Big Data Applications in Water Resources Engineering

机译:大数据在水资源工程中的应用概述

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One of the emerging challenges in the 21th century era is collecting and handling 'Big Data'. The definition of big data changes from one area to other over time. Big data as its name implies is unstructured data that is very big, fast, hard and comes in many forms. Though the applications of big data was confined to information technology before 21st technology, now it is of emerging area in almost all engineering specializations. But for water managers/engineers, big data is showing big promise in many water related applications such as planning optimum water systems, detecting ecosystem changes through big remote sensing and geographical information system, forecasting/predicting/detecting natural and manmade calamities, scheduling irrigations, mitigating environmental pollution, studying climate change impacts etc. This study reviewed the basic information about big data, applications of big data in water resources engineering related studies, advantages and disadvantages of big data. Further, this study presented some of review of literature which has been done on big data applications in water resources engineering.
机译:21世纪新出现的挑战之一是收集和处理“大数据”。随着时间的推移,大数据的定义从一个区域变为另一个区域。顾名思义,大数据是非常大,快速,困难且以多种形式出现的非结构化数据。尽管大数据的应用在21世纪技术之前仅限于信息技术,但如今它已成为几乎所有工程专业领域的新兴领域。但是对于水管理人员/工程师而言,大数据在许多与水相关的应用中显示出巨大的希望,例如规划最佳水系统,通过大型遥感和地理信息系统检测生态系统变化,预测/预测/检测自然灾害和人为灾害,安排灌溉,这项研究回顾了有关大数据的基本信息,大数据在水资源工程相关研究中的应用,大数据的优缺点。此外,本研究提出了一些有关水资源工程中大数据应用的文献综述。

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