BIG DATA IN WATER RESOURCES ENGINEERING (BDWRE)
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.
Zibeline International invites you to submit manuscripts for consideration in this scholarly journal. The journal welcomes research papers, reviews, reports and other manuscript types for the related interdisciplinary areas.
Big Data In Water Resources Engineering (BDWRE) is empowered by eminent group of editors and reviewers. The board comprises eminent scholars with extensive publications.
The Editorial Board oversee the stringent multi-level Peer-Review process including evaluating submissions, selecting reviewers and assessing their comments and making editorial decisions.