Concepedia

Process-based Wetness Modeling

Process-Based Wetness Modeling is a hydrological modeling approach that belongs to the class of topographic wetness analysis methods and is distinguished by its incorporation of physical watershed processes—such as rainfall infiltration, subsurface flow dynamics, and topographically driven runoff generation—to quantitatively simulate spatial patterns of soil wetness.

19

Publications

1K

Citations

72

Authors

39

Institutions

Publications per year

2017–2026

5

Parents

Publications

19

Simulation of soil wetting pattern with subsurface drip irrigation from line source

T.B.S. Rajput, D. K. Singh, Harman S. Sikarwar et al. · Agricultural Water Management · 2005 · 130 citations

, , +14

A multi-scale, mechanistic model of a wet granulation process using a novel bi-directional PBM–DEM coupling algorithm

Dana Barrasso, Thomas Eppinger, Frances E. Pereira et al. · Chemical Engineering Science · 2014 · 92 citations

, , +11

A stable 2D unstructured shallow flow model for simulations of wetting and drying over rough terrains

Jingming Hou, Qiuhua Liang, Franz Simons et al. · Computers & Fluids · 2013 · 91 citations

, , +16

Simulation of point source wetting pattern of subsurface drip irrigation

Weiwei Yao, Yi Xiao, Juan Li et al. · Irrigation Science · 2010 · 80 citations

, , +14

Neuro-Drip: estimation of subsurface wetting patterns for drip irrigation using neural networks

A. C. Hinnell, Naftali Lazarovitch, Alex Furman et al. · Irrigation Science · 2010 · 77 citations

, , +16

1–5 of 19

Authors

72

  1. JL
    Juan Li

    Beihang University, China

    1 publications · 80 citations

    1

    h-index

  2. JS
    J. Starzmann

    Siemens (Germany), Germany

    1 publications · 57 citations

    1

    h-index

  3. TE
    Thomas Eppinger

    Technische Universität Berlin, Germany

    1 publications · 92 citations

    1

    h-index

  4. AF
    Ahmad Fikri Abdullah

    Universiti Putra Malaysia, Malaysia

    1 publications · 77 citations

    1

    h-index

  5. RA
    Ravindra Aglave

    Technische Universität Berlin, Germany

    1 publications · 92 citations

    1

    h-index

1–5 of 72

Institutions

39

  1. Indian Agricultural Statistics Research Institute

    New Delhi, India

    1 h-index

    3 publications

    390 citations

  2. Indian Agricultural Research Institute

    New Delhi, India

    1 h-index

    6 publications

    780 citations

  3. Southeast University

    Nanjing, China

    1 h-index

    3 publications

    171 citations

  4. Newcastle University

    Newcastle upon Tyne, United Kingdom

    1 h-index

    2 publications

    182 citations

  5. Process Systems Enterprise (United Kingdom)

    London, United Kingdom

    1 h-index

    2 publications

    184 citations

  6. Universiti Putra Malaysia

    Seri Kembangan, Malaysia

    1 h-index

    3 publications

    231 citations

  7. CD-adapco (Germany)

    Nuremberg, Germany

    1 h-index

    1 publications

    92 citations

  8. Arizona Geological Survey

    Tucson, United States

    1 h-index

    1 publications

    77 citations

1–8 of 39

Venues

  1. Irrigation Science

    3 publications · 175 citations

    3

    h-index

  2. Agricultural Water Management

    3 publications · 246 citations

    3

    h-index

  3. International Journal of Pharmaceutics

    2 publications · 66 citations

    2

    h-index

  4. Agricultural and Forest Meteorology

    2 publications · 91 citations

    2

    h-index

  5. Journal of Applied Sciences

    1 publications · 22 citations

    1

    h-index

1–5