Zibeline International invites researchers, academicians, and practitioners to submit original manuscripts for consideration in this scholarly journal. The journal welcomes research papers, review articles, reports, and other relevant manuscript types covering interdisciplinary areas related to water resources and big data applications.
Aims and Scope
Big Data In Water Resources Engineering (BDWRE) focuses on research in water resources management, hydrology, environmental engineering, big data analytics, modeling, simulation, and interdisciplinary studies linking data science with sustainable water resource solutions. The journal encourages studies that advance knowledge in water engineering and the application of big data technologies to environmental and resource management.
BDWRE is supported by an eminent group of editors and reviewers comprising distinguished scholars with extensive academic and research publications. The Editorial Board oversees a stringent, multi-level single-blind peer-review process, including manuscript evaluation, reviewer selection, assessment of reviewers’ comments, and final editorial decisions to ensure high scholarly standards.
