An Overview of Big Data Applications in Water Resources Engineering

Sirisha Adamala

doi:doi:10.11648/j.mlr.20170201.12

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An Overview of Big Data Applications in Water Resources Engineering

Sirisha Adamala

Published in Machine Learning Research (Volume 2, Issue 1)

Received: 23 January 2017 Accepted: 7 February 2017 Published: 1 March 2017

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Abstract

One of the emerging challenges in the 21^th 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 21^st 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.

Published in	Machine Learning Research (Volume 2, Issue 1)
DOI	10.11648/j.mlr.20170201.12
Page(s)	10-18
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2017. Published by Science Publishing Group

Keywords

Big Data, Petabytes, Gigabyte, Water Resources, Climate, Artificial Neural Network, Remote Sensing

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APA Style

Sirisha Adamala. (2017). An Overview of Big Data Applications in Water Resources Engineering. Machine Learning Research, 2(1), 10-18. https://doi.org/10.11648/j.mlr.20170201.12

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ACS Style

Sirisha Adamala. An Overview of Big Data Applications in Water Resources Engineering. Mach. Learn. Res. 2017, 2(1), 10-18. doi: 10.11648/j.mlr.20170201.12

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Sirisha Adamala. An Overview of Big Data Applications in Water Resources Engineering. Mach Learn Res. 2017;2(1):10-18. doi: 10.11648/j.mlr.20170201.12

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@article{10.11648/j.mlr.20170201.12,
  author = {Sirisha Adamala},
  title = {An Overview of Big Data Applications in Water Resources Engineering},
  journal = {Machine Learning Research},
  volume = {2},
  number = {1},
  pages = {10-18},
  doi = {10.11648/j.mlr.20170201.12},
  url = {https://doi.org/10.11648/j.mlr.20170201.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.mlr.20170201.12},
  abstract = {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.},
 year = {2017}
}

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TY  - JOUR
T1  - An Overview of Big Data Applications in Water Resources Engineering
AU  - Sirisha Adamala
Y1  - 2017/03/01
PY  - 2017
N1  - https://doi.org/10.11648/j.mlr.20170201.12
DO  - 10.11648/j.mlr.20170201.12
T2  - Machine Learning Research
JF  - Machine Learning Research
JO  - Machine Learning Research
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PB  - Science Publishing Group
SN  - 2637-5680
UR  - https://doi.org/10.11648/j.mlr.20170201.12
AB  - 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.
VL  - 2
IS  - 1
ER  -

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Author Information

Sirisha Adamala

Applied Engineering Department, Vignan’s Foundation for Science, Technology and Research University (VFSTRU), Vadlamudi, Andhra Pradesh

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APA Style

Sirisha Adamala. (2017). An Overview of Big Data Applications in Water Resources Engineering. Machine Learning Research, 2(1), 10-18. https://doi.org/10.11648/j.mlr.20170201.12

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ACS Style

Sirisha Adamala. An Overview of Big Data Applications in Water Resources Engineering. Mach. Learn. Res. 2017, 2(1), 10-18. doi: 10.11648/j.mlr.20170201.12

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AMA Style

Sirisha Adamala. An Overview of Big Data Applications in Water Resources Engineering. Mach Learn Res. 2017;2(1):10-18. doi: 10.11648/j.mlr.20170201.12

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@article{10.11648/j.mlr.20170201.12,
  author = {Sirisha Adamala},
  title = {An Overview of Big Data Applications in Water Resources Engineering},
  journal = {Machine Learning Research},
  volume = {2},
  number = {1},
  pages = {10-18},
  doi = {10.11648/j.mlr.20170201.12},
  url = {https://doi.org/10.11648/j.mlr.20170201.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.mlr.20170201.12},
  abstract = {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.},
 year = {2017}
}

Copy | Download

TY  - JOUR
T1  - An Overview of Big Data Applications in Water Resources Engineering
AU  - Sirisha Adamala
Y1  - 2017/03/01
PY  - 2017
N1  - https://doi.org/10.11648/j.mlr.20170201.12
DO  - 10.11648/j.mlr.20170201.12
T2  - Machine Learning Research
JF  - Machine Learning Research
JO  - Machine Learning Research
SP  - 10
EP  - 18
PB  - Science Publishing Group
SN  - 2637-5680
UR  - https://doi.org/10.11648/j.mlr.20170201.12
AB  - 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.
VL  - 2
IS  - 1
ER  -

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