Exploring source water mixing and transient residence time distributions of outflow and evapotranspiration with an integrated hydrologic model and Lagrangian particle tracking approach: Source water mixing and transient residence time distributions ET and Q.
Abstract
Understanding the time water takes as it moves from rain or snowmelt through the terrestrial system to arrive as stream discharge, or evapotranspiration (ET) is an important hydrologic quantity. We develop a Lagrangian particle tracking method to capture transient residence times from source to either ET or outflow in an integrated hydrologic model. This method is parallel and efficiently captures time evolution of parcels of water in the model and tracks the source of water for hydrograph or ET separation. We demonstrate this model using hypothetical hillslope simulations driven by snow or rain dominated forcing and two different land cover types. We show that land cover and forcing both impact the outflow residence time distribution, which spans many years. We also introduce the idea of ET residence time distributions and show that while mean ET residence times are typically less than 1 year, land cover affects this quantity and simulated ET processes draw from much older water (many years old) depending on location on the hillslope or seasonal cycle. Finally, we study source water contribution to outflow and ET and explore assumptions about a residence time-based definition of older, pre-event, or groundwater end member. We show that simulated plant processesmore »
- Authors:
-
- Colorado School of Mines, Golden Colorado USA
- University of Arizona, Tucson Arizona USA
- Sharif University of Technology, Tehran Iran
- US Bureau of Reclamation, Denver Federal Center, Denver Colorado USA
- Publication Date:
- Research Org.:
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), Biological and Environmental Research (BER); USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR)
- OSTI Identifier:
- 1477126
- Alternate Identifier(s):
- OSTI ID: 1477127; OSTI ID: 1764740
- Grant/Contract Number:
- AC02-05CH11231
- Resource Type:
- Published Article
- Journal Name:
- Ecohydrology
- Additional Journal Information:
- Journal Name: Ecohydrology Journal Volume: 12 Journal Issue: 1; Journal ID: ISSN 1936-0584
- Publisher:
- Wiley
- Country of Publication:
- United Kingdom
- Language:
- English
- Subject:
- 59 BASIC BIOLOGICAL SCIENCES; modelling; numerical; plant water use; residence time; source water contribution
Citation Formats
Maxwell, Reed M., Condon, Laura E., Danesh-Yazdi, Mohammad, and Bearup, Lindsay A. Exploring source water mixing and transient residence time distributions of outflow and evapotranspiration with an integrated hydrologic model and Lagrangian particle tracking approach: Source water mixing and transient residence time distributions ET and Q.. United Kingdom: N. p., 2018.
Web. doi:10.1002/eco.2042.
Maxwell, Reed M., Condon, Laura E., Danesh-Yazdi, Mohammad, & Bearup, Lindsay A. Exploring source water mixing and transient residence time distributions of outflow and evapotranspiration with an integrated hydrologic model and Lagrangian particle tracking approach: Source water mixing and transient residence time distributions ET and Q.. United Kingdom. https://doi.org/10.1002/eco.2042
Maxwell, Reed M., Condon, Laura E., Danesh-Yazdi, Mohammad, and Bearup, Lindsay A. Wed .
"Exploring source water mixing and transient residence time distributions of outflow and evapotranspiration with an integrated hydrologic model and Lagrangian particle tracking approach: Source water mixing and transient residence time distributions ET and Q.". United Kingdom. https://doi.org/10.1002/eco.2042.
@article{osti_1477126,
title = {Exploring source water mixing and transient residence time distributions of outflow and evapotranspiration with an integrated hydrologic model and Lagrangian particle tracking approach: Source water mixing and transient residence time distributions ET and Q.},
author = {Maxwell, Reed M. and Condon, Laura E. and Danesh-Yazdi, Mohammad and Bearup, Lindsay A.},
abstractNote = {Understanding the time water takes as it moves from rain or snowmelt through the terrestrial system to arrive as stream discharge, or evapotranspiration (ET) is an important hydrologic quantity. We develop a Lagrangian particle tracking method to capture transient residence times from source to either ET or outflow in an integrated hydrologic model. This method is parallel and efficiently captures time evolution of parcels of water in the model and tracks the source of water for hydrograph or ET separation. We demonstrate this model using hypothetical hillslope simulations driven by snow or rain dominated forcing and two different land cover types. We show that land cover and forcing both impact the outflow residence time distribution, which spans many years. We also introduce the idea of ET residence time distributions and show that while mean ET residence times are typically less than 1 year, land cover affects this quantity and simulated ET processes draw from much older water (many years old) depending on location on the hillslope or seasonal cycle. Finally, we study source water contribution to outflow and ET and explore assumptions about a residence time-based definition of older, pre-event, or groundwater end member. We show that simulated plant processes may switch to more opportunistic and younger sources of water, changing the composition of outflow.},
doi = {10.1002/eco.2042},
journal = {Ecohydrology},
number = 1,
volume = 12,
place = {United Kingdom},
year = {Wed Oct 10 00:00:00 EDT 2018},
month = {Wed Oct 10 00:00:00 EDT 2018}
}
https://doi.org/10.1002/eco.2042
Web of Science
Works referenced in this record:
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Effects of root water uptake formulation on simulated water and energy budgets at local and basin scales
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Revisiting the Cape Cod Bacteria Injection Experiment Using a Stochastic Modeling Approach
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From engineering hydrology to Earth system science: milestones in the transformation of hydrologic science
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Combined Use of Groundwater Dating, Chemical, and Isotopic Analyses to Resolve the History and Fate of Nitrate Contamination in Two Agricultural Watersheds, Atlantic Coastal Plain, Maryland
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Stochastic environmental risk analysis: an integrated methodology for predicting cancer risk from contaminated groundwater
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