Multivariate Hydrologic Analysis

Multivariate Hydrologic Analysis is a systematic methodology within hydrologic data analysis that simultaneously examines multiple interrelated hydrological variables to characterize complex water system behaviors and dependencies, distinguishing it from univariate approaches by integrating multivariate statistical or modeling techniques to capture joint probabilistic, spatial, or temporal dynamics in hydrological processes.

317

Publications

21.6K

Citations

1K

Authors

440

Institutions

Publications per year

2017–2026

107

Authors

1K

  1. FC
    Fateh Chebana

    Institut National de la Recherche Scientifique, Canada

    11 publications · 716 citations

    11

    h-index

  2. TB
    Taha B. M. J. Ouarda

    Institut National de la Recherche Scientifique, Canada

    11 publications · 720 citations

    11

    h-index

  3. VP
    Vijay P. Singh

    Texas A&M University, United States

    6 publications · 521 citations

    6

    h-index

  4. YF
    Yurui Fan

    University of Regina, Canada

    6 publications · 198 citations

    6

    h-index

  5. SG
    Salvatore Grimaldi

    Università degli Studi della Tuscia, Italy

    6 publications · 592 citations

    6

    h-index

1–5 of 1K

Venues

  1. Environmental Monitoring and Assessment

    31 publications · 2K citations

    24

    h-index

  2. Water Resources Research

    24 publications · 3.4K citations

    20

    h-index

  3. Journal of Hydrology

    18 publications · 1.2K citations

    17

    h-index

  4. Environmental Earth Sciences

    14 publications · 675 citations

    12

    h-index

  5. Journal of Hydrologic Engineering

    11 publications · 1K citations

    11

    h-index

1–5