Concepedia

Runoff Quantity Modeling

Runoff Quantity Modeling is a computational method that belongs to the class of hydrological modeling techniques, specifically distinguished by its focus on simulating the volume and timing of surface water flow generated from precipitation in urban or natural catchments.

84

Publications

3.9K

Citations

254

Authors

134

Institutions

Publications per year

2017–2026

20

Parents

Publications

84

Rainwater runoff quantity and quality performance from a greenroof: The effects of short-term events

Alar Teemusk, Ülo Mander · Ecological Engineering · 2007 · 296 citations

, , +16

Monthly runoff time series prediction by variational mode decomposition and support vector machine based on quantum-behaved particle swarm optimization

Zhong-kai Feng, Wenjing Niu, Zhengyang Tang et al. · Journal of Hydrology · 2020 · 245 citations

, , +17

Calibration of discrete element parameters and the modelling of silo discharge and bucket filling

C.J. Coetzee, D.N.J. Els · Computers and Electronics in Agriculture · 2008 · 210 citations

, , +11

A comparative study of artificial neural networks and neuro-fuzzy in continuous modeling of the daily and hourly behaviour of runoff

Muhammad Aqil, Ichiro Kita, Akira Yano et al. · Journal of Hydrology · 2007 · 197 citations

, , +17

Validation and experimental calibration of 3D discrete element models for the simulation of the discharge flow in silos

C. González-Montellano, Eutiquio Gallego, Francisco Ayuga · Chemical Engineering Science · 2011 · 192 citations

, , +12

1–5 of 84

Authors

254

  1. SM
    Sumeet Mishra

    Indian Institute of Technology Roorkee, India

    3 publications · 144 citations

    3

    h-index

  2. JW
    J. W. Delleur

    Purdue University West Lafayette, United States

    3 publications · 68 citations

    3

    h-index

  3. MJ
    Manoj Jain

    Indian Institute of Technology Roorkee, India

    2 publications · 133 citations

    2

    h-index

  4. HF
    Hiroaki Furumai

    The University of Tokyo, Japan

    2 publications · 38 citations

    2

    h-index

  5. RH
    Richard H. Hawkins

    University of Arizona, United States

    2 publications · 26 citations

    2

    h-index

1–5 of 254

Institutions

134

  1. Indian Institute of Technology Roorkee

    Roorkee, India

    4 h-index

    13 publications

    614 citations

  2. The University of Tokyo

    Tokyo, Japan

    3 h-index

    9 publications

    150 citations

  3. Louisiana State University

    Baton Rouge, United States

    3 h-index

    9 publications

    480 citations

  4. Purdue University West Lafayette

    West Lafayette, United States

    2 h-index

    2 publications

    55 citations

  5. University of Tehran

    Tehran, Iran

    2 h-index

    5 publications

    194 citations

  6. Institute of Geographic Sciences and Natural Resources Research

    Beijing, China

    2 h-index

    4 publications

    177 citations

  7. University of California, Davis

    Davis, United States

    2 h-index

    2 publications

    77 citations

  8. Griffith University

    Brisbane, Australia

    2 h-index

    2 publications

    66 citations

1–8 of 134

Venues

  1. Journal of Hydrology

    8 publications · 729 citations

    7

    h-index

  2. Water Resources Management

    4 publications · 216 citations

    4

    h-index

  3. Journal of Environmental Engineering

    4 publications · 136 citations

    4

    h-index

  4. Journal of Irrigation and Drainage Engineering

    3 publications · 196 citations

    3

    h-index

  5. Journal of Hydrologic Engineering

    2 publications · 77 citations

    2

    h-index

1–5