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"Big Data in Water Resources Engineering"

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Big Data in Water Resources Engineering

₹3,000.00

P-ISSN:

2716-5655

E-ISSN:

2716-5655

Frequency:

Biannual

Edition:

2027

Language:

English

Subscription Agency:

National Press Associates
Category: Publisher/Printed By:

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    Journal Details

    About the Publisher

    AkiNik Publications, established in 2012, is a trusted name in the world of academic publishing, specializing in both journals and books. With a strong commitment to innovation and user experience, we provide a comprehensive platform for scholarly content, enhancing the visibility and citation of every publication. We are proud to hold a Printing Press License Number issued by Govt of India: (F-1 (A-4) Press 2016) and ISSN Numbers, ensuring our publications meet the highest standards in the industry.

    About the Journal

    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.

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