H11R:
Discharge Predictions of Rainfall: Storm-Driven Diffusive Hydrography and Runoff Modeling Posters


Submit an Abstract to this Session


Session ID#: 53337

Session Description:
Simulation of time-dependent streamflow variability in river watersheds is a critical problem of hydrology. The variability of stream flows reflects the response of the watershed to several individual hydrological processes such as the rainfall duration and intensity, losses of rainfall due to infiltration and evapotranspiration, run-on/run-off, soil characteristics, topographic properties and vegetation coverage, aquifer hydraulic conductivity, and the ability of groundwater storage. These processes are difficult, if not impossible, to measure precisely. Moreover, limited database covered the large and rapid variations in streamflow and chemistry influences by rainfall storms. This session seek advances in the research areas of variability of rainfall-runoff responses to climate change; models for predicting future change in ecosystems and water-movement phenomena; flood production and the geomorphology of rivers; fate and transport of different agrochemical pollutants through surface-groundwater interactions; and separate flow studies.
Primary Convener:  Omar M Al-Qudah, Texas A&M University Kingsville, Environmental Engineering, Kingsville, TX, United States
Conveners:  Abdelmoula Haboub, Nikon Research Corporation of America, Belmont, United States and Hamed El-Mashad, University of California, Davis, Davis, CA, United States
Primary Liaison:  Omar M Al-Qudah, Texas A&M University Kingsville, Environmental Engineering, Kingsville, TX, United States
Chairs:  Omar M Al-Qudah, Lincoln University, Center of Nanotechnology and Cooperative Research, Lincoln, New Zealand and Abdelmoula Haboub, Nikon Research Corporation of America, Belmont, United States
OSPA Liaison:  Omar M Al-Qudah, Lincoln University, Center of Nanotechnology and Cooperative Research, Lincoln, New Zealand

Cross-Listed:
  • B - Biogeosciences
  • EP - Earth and Planetary Surface Processes
  • GC - Global Environmental Change
Index Terms:

1804 Catchment [HYDROLOGY]
1807 Climate impacts [HYDROLOGY]
1812 Drought [HYDROLOGY]
1816 Estimation and forecasting [HYDROLOGY]

Abstracts Submitted to this Session:

Analysis of Rainfall-Runoff-Inundation in a data-scarce flashy watershed: an application in Kandra River Basin, Nepal (352607)
Rocky Talchabhadel1, Bhesh Raj Thapa2, Revakant Yadav3, Tikaram Baral4 and Rajaram Prajapati1, (1)Smartphones For Water Nepal, Lalitpur, Nepal, (2)Pokhara University, Universal Engineering and Science College, Lalitpur, Nepal, (3)Government of Nepal, Water Resources Research and Development Centre, Kathmandu, Nepal, (4)Government of Nepal, Department of Irrigation, Lalitpur, Nepal
Assessing the Impact of Upstream Contribution Approximations on the Performance of Spatially Distributed Travel Time Methods Applied to Natural Catchments (407528)
Tomas Bunster, Pontifical Catholic University of Chile, Departamento de Ingeniería Hidráulica y Ambiental, Santiago, Chile, Jorge Gironás, Pontificia Universidad Católica de Chile, Departamento de Ingeniería Hidráulica y Ambiental, Santiago, Chile and Jeffrey D Niemann, Colorado State University, Department of Civil and Environmental Engineering, Fort Collins, United States
Unpacking the Influence of Warming on Hydrological Partitioning in Rain-Snow Transition Zones of the Western United States (433157)
Katherine Hale, University of Colorado Boulder, Boulder, CO, United States, Adam N Wlostowski, Colorado State University, Fort Collins, CO, United States, Andrew Badger, George Mason University Fairfax, Fairfax, VA, United States, Suzanne P Anderson, Univ of Colorado, Department of Geological Sciences and Institute of Arctic and Alpine Research, Boulder, United States, Sarah Godsey, Idaho State University, Department of Geosciences, Idaho Falls, ID, United States and Noah P Molotch, University of Colorado at Boulder, Geography / INSTAAR, Boulder, United States
The Influence of Spatial Variability of Width Functions on Regional Peak Flow Regressions (443413)
Gabriel Perez, University of Iowa, Iowa City, United States, Ricardo Mantilla, University of Manitoba, Manitoba, Canada and Witold F Krajewski, University of Iowa, Iowa Flood Center and IIHR-Hydroscience and Engineering, Iowa City, United States

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