Article in Press

BIG DATA IN WATER RESOURCES ENGINEERING (BDWRE)

E-ISSN: 2716-5655
CODEN: BDWRAP

Creative Commons Attribution CC BY

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.

    1. CROP AREA MAPPING BY INTELLIGENT PIXEL INFORMATION INFERRED USING 250M MODIS VEGETATION TIMESERIES IN TRANSBOUNDARY INDUS BASIN
      Muhammad Mohsin Khan, Muhammad Jehanzeb Masud Cheema, Talha Mahmood, Saddam Hussain, Muhammad Sohail Waqas, Hafiz Muhammad Nauman, Mohsin Nawaz, Muhammad Saifullah

    2. ASSESSMENT OF SEDIMENT YIELD USING SWAT MODEL: CASE STUDY OF KEBIR WATERSHED, NORTHEAST OF ALGERIA
      Kamel Khanchoul, Amina Amamra, Bachir Saaidia

    3. ESTIMATING SEDIMENT YIELD AT TARBELA DAM AND FLOOD FORECASTING THROUGH CONTINUOUS PRECIPITATION-RUNOFF MODELING OF UPPER INDUS BASIN
      Rana Muhammad Amir, Sikandar Ali, Muhammad Jehanzeb Masud Cheema, Saddam Hussain, Muhammad Mohsin Waqas, Muhammad Sohail Waqas, Rao Husnain Arshad, Muhammad Salam, Ahsan Raza and Muhammad Aslam