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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.

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 » may switch to more opportunistic and younger sources of water, changing the composition of outflow.« less

Authors:
ORCiD logo [1]; ORCiD logo [2]; ORCiD logo [3];  [4]
  1. Colorado School of Mines, Golden Colorado USA
  2. University of Arizona, Tucson Arizona USA
  3. Sharif University of Technology, Tehran Iran
  4. 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}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record
https://doi.org/10.1002/eco.2042

Citation Metrics:
Cited by: 32 works
Citation information provided by
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Works referenced in this record:

Hillslope response to insect-induced land-cover change: an integrated model of end-member mixing: Modelling the Hillslope Mixing Response to Land-Cover Change
journal, February 2016

  • Bearup, Lindsay A.; Maxwell, Reed M.; McCray, John E.
  • Ecohydrology, Vol. 9, Issue 2
  • DOI: 10.1002/eco.1729

Catchment residence and travel time distributions: The master equation: CATCHMENT RESIDENCE TIMES
journal, June 2011

  • Botter, Gianluca; Bertuzzo, Enrico; Rinaldo, Andrea
  • Geophysical Research Letters, Vol. 38, Issue 11
  • DOI: 10.1029/2011GL047666

Water Flux Tracking With a Distributed Hydrological Model to Quantify Controls on the Spatiotemporal Variability of Transit Time Distributions
journal, April 2018

  • Remondi, Federica; Kirchner, James W.; Burlando, Paolo
  • Water Resources Research, Vol. 54, Issue 4
  • DOI: 10.1002/2017WR021689

Direct observations of rock moisture, a hidden component of the hydrologic cycle
journal, February 2018

  • Rempe, Daniella M.; Dietrich, William E.
  • Proceedings of the National Academy of Sciences, Vol. 115, Issue 11
  • DOI: 10.1073/pnas.1800141115

Transient age distributions in subsurface hydrologic systems
journal, December 2016


Feedbacks between managed irrigation and water availability: Diagnosing temporal and spatial patterns using an integrated hydrologic model
journal, March 2014

  • Condon, Laura E.; Maxwell, Reed M.
  • Water Resources Research, Vol. 50, Issue 3
  • DOI: 10.1002/2013WR014868

Contrasting the hydrologic response due to land cover and climate change in a mountain headwaters system: Contrasting hydrologic response from land cover and climate change
journal, September 2016

  • Pribulick, Christine E.; Foster, Lauren M.; Bearup, Lindsay A.
  • Ecohydrology, Vol. 9, Issue 8
  • DOI: 10.1002/eco.1779

Hydrological effects of forest transpiration loss in bark beetle-impacted watersheds
journal, April 2014

  • Bearup, Lindsay A.; Maxwell, Reed M.; Clow, David W.
  • Nature Climate Change, Vol. 4, Issue 6
  • DOI: 10.1038/nclimate2198

Modeling chloride transport using travel time distributions at Plynlimon, Wales: CHLORIDE TRANSPORT AND TTDS
journal, May 2015

  • Benettin, Paolo; Kirchner, James W.; Rinaldo, Andrea
  • Water Resources Research, Vol. 51, Issue 5
  • DOI: 10.1002/2014WR016600

Connections between groundwater flow and transpiration partitioning
journal, July 2016


Transport in the hydrologic response: Travel time distributions, soil moisture dynamics, and the old water paradox: A THEORY OF TRANSPORT IN THE HYDROLOGIC RESPONSE
journal, March 2010

  • Botter, Gianluca; Bertuzzo, Enrico; Rinaldo, Andrea
  • Water Resources Research, Vol. 46, Issue 3
  • DOI: 10.1029/2009WR008371

Factors controlling seasonal groundwater and solute flux from snow-dominated basins
journal, June 2018

  • Carroll, Rosemary W. H.; Bearup, Lindsay A.; Brown, Wendy
  • Hydrological Processes, Vol. 32, Issue 14
  • DOI: 10.1002/hyp.13151

Hydrologic regulation of plant rooting depth
journal, September 2017

  • Fan, Ying; Miguez-Macho, Gonzalo; Jobbágy, Esteban G.
  • Proceedings of the National Academy of Sciences, Vol. 114, Issue 40
  • DOI: 10.1073/pnas.1712381114

Bridging the gap between numerical solutions of travel time distributions and analytical storage selection functions
journal, March 2018

  • Danesh-Yazdi, Mohammad; Klaus, Julian; Condon, Laura E.
  • Hydrological Processes, Vol. 32, Issue 8
  • DOI: 10.1002/hyp.11481

Effects of root water uptake formulation on simulated water and energy budgets at local and basin scales
journal, February 2016

  • Ferguson, Ian M.; Jefferson, Jennifer L.; Maxwell, Reed M.
  • Environmental Earth Sciences, Vol. 75, Issue 4
  • DOI: 10.1007/s12665-015-5041-z

Revisiting the Cape Cod Bacteria Injection Experiment Using a Stochastic Modeling Approach
journal, August 2007

  • Maxwell, Reed M.; Welty, Claire; Harvey, Ronald W.
  • Environmental Science & Technology, Vol. 41, Issue 15
  • DOI: 10.1021/es062693a

From engineering hydrology to Earth system science: milestones in the transformation of hydrologic science
journal, January 2018


Mechanisms controlling the impact of multi-year drought on mountain hydrology
journal, January 2018


Catchment travel time distributions and water flow in soils: CATCHMENT TRAVEL TIMES
journal, July 2011

  • Rinaldo, A.; Beven, K. J.; Bertuzzo, E.
  • Water Resources Research, Vol. 47, Issue 7
  • DOI: 10.1029/2011WR010478

Stochastic environmental risk analysis: an integrated methodology for predicting cancer risk from contaminated groundwater
journal, April 1999

  • Maxwell, R. M.; Kastenberg, W. E.
  • Stochastic Environmental Research and Risk Assessment (SERRA), Vol. 13, Issue 1-2
  • DOI: 10.1007/s004770050030