Next Article in Journal
Potential Effects of the COVID-19 Pandemic through Changes in Outbound Tourism on Water Demand: The Case of Liège (Belgium)
Next Article in Special Issue
Effects of Wave-Induced Processes in a Coupled Wave–Ocean Model on Particle Transport Simulations
Previous Article in Journal
Study of Snap Loads for Idealized Mooring Configurations with a Buoy, Inextensible and Elastic Cable Combinations for the Multi-Float M4 Wave Energy Converter
Previous Article in Special Issue
Timescale Methods for Simplifying, Understanding and Modeling Biophysical and Water Quality Processes in Coastal Aquatic Ecosystems: A Review
Article

Age of Water Particles as a Diagnosis of Steady-State Flows in Shallow Rectangular Reservoirs

1
Research Unit Urban & Environmental Engineering (UEE), Hydraulics in Environmental and Civil Engineering (HECE), University of Liège, 4000 Liège, Belgium
2
SGI Ingénieurs, 5032 Isnes, Belgium
3
Research Unit Aerospace & Mechanical Engineering (A&M), Mathematical Modelling & Methods, University of Liège, 4000 Liège, Belgium
4
Institute of Mechanics, Materials and Civil Engineering (IMMC) & Earth and Life Institute (ELI), Université Catholique de Louvain, 1348 Louvain-la-Neuve, Belgium
*
Author to whom correspondence should be addressed.
Water 2020, 12(10), 2819; https://doi.org/10.3390/w12102819
Received: 20 July 2020 / Revised: 2 October 2020 / Accepted: 5 October 2020 / Published: 11 October 2020
The age of a water particle in a shallow man-made reservoir is defined as the time elapsed since it entered it. Analyzing this diagnostic timescale provides valuable information for optimally sizing and operating such structures. Here, the constituent-oriented age and residence time theory (CART) is used to obtain not only the mean age, but also the water age distribution function at each location. The method is applied to 10 different shallow reservoirs of simple geometry (rectangular), in a steady-state framework. The results show that complex, multimodal water age distributions are found, implying that focusing solely on simple statistics (e.g., mean or median age) fails to reflect the complexity of the actual distribution of water age. The latter relates to the fast or slow pathways that water particles may take for traveling from the inlet to the outlet of the reservoirs. View Full-Text
Keywords: age distribution function; shallow reservoir; water age; numerical modeling age distribution function; shallow reservoir; water age; numerical modeling
Show Figures

Graphical abstract

MDPI and ACS Style

Dewals, B.; Archambeau, P.; Bruwier, M.; Erpicum, S.; Pirotton, M.; Adam, T.; Delhez, E.; Deleersnijder, E. Age of Water Particles as a Diagnosis of Steady-State Flows in Shallow Rectangular Reservoirs. Water 2020, 12, 2819. https://doi.org/10.3390/w12102819

AMA Style

Dewals B, Archambeau P, Bruwier M, Erpicum S, Pirotton M, Adam T, Delhez E, Deleersnijder E. Age of Water Particles as a Diagnosis of Steady-State Flows in Shallow Rectangular Reservoirs. Water. 2020; 12(10):2819. https://doi.org/10.3390/w12102819

Chicago/Turabian Style

Dewals, Benjamin, Pierre Archambeau, Martin Bruwier, Sebastien Erpicum, Michel Pirotton, Tom Adam, Eric Delhez, and Eric Deleersnijder. 2020. "Age of Water Particles as a Diagnosis of Steady-State Flows in Shallow Rectangular Reservoirs" Water 12, no. 10: 2819. https://doi.org/10.3390/w12102819

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop