H21F:
Hydrochronology: Advances in Tracer Methods, Modeling Techniques, and Applications of Residence Times in Hydrology Research I Posters


Session ID#: 9161

Session Description:
Residence times - or water ages - are an important characteristic of hydrological systems, controlling water rock interaction, contaminant transport and breakthrough, and water supply sustainability. The intrinsic link between residence time and storage volume provides a unique insight into the vulnerability of a hydrological system or water supply to droughts and climate change. This session is aimed at the integration of residence time studies of surface water and groundwater systems and catchment hydrology. We invite new contributions characterizing the residence times in hydrological systems from multiple tracers and/or tracer and chemical time series, theoretical evaluations and statistical modeling of residence time distributions, and applications of numerical models to investigate residence times. Studies demonstrating how residence time distributions increase our understanding of the hydrological system are encouraged.
Primary Convener:  Ate Visser, Lawrence Livermore National Laboratory, Livermore, CA, United States
Conveners:  Arash Massoudieh, Catholic University of America, Washington, United States, Chris T Green, USGS Western Regional Offices Menlo Park, Menlo Park, CA, United States and Ype Van der Velde, Wageningen University, Wageningen, Netherlands
Chairs:  Ate Visser, Lawrence Livermore National Laboratory, Livermore, CA, United States and Chris T Green, USGS Western Regional Offices Menlo Park, Menlo Park, CA, United States
OSPA Liaison:  Ate Visser, Lawrence Livermore National Laboratory, Livermore, CA, United States
Index Terms:

1804 Catchment [HYDROLOGY]
1805 Computational hydrology [HYDROLOGY]
1829 Groundwater hydrology [HYDROLOGY]
1830 Groundwater/surface water interaction [HYDROLOGY]

Abstracts Submitted to this Session:

Tracer Cycles and Water Ages in Heterogeneous Catchments and Aquifers (86552)
James W Kirchner, ETH Swiss Federal Institute of Technology Zurich, Department of Environmental Systems Science, Zurich, Switzerland; WSL Swiss Federal Institute for Forest, Snow and Landscape Research, Birmensdorf, Switzerland and Scott Jasechko, University of Calgary, Geography, Calgary, AB, Canada
Why Does the Convolution Integral Method Provide Systematically Biased Estimates of Watershed Residence Times? (86305)
John L Wilson, New Mexico Tech, Socorro, NM, United States, Marty D Frisbee, Purdue University, Earth, Atmospheric and Planetary Sciences, West Lafayette, IN, United States, Jesus D Gomez-Velez, Vanderbilt University, Civil and Environmental Engineering, Nashville, United States and Fred M Phillips, New Mexico Institute of Mining and Technology, Socorro, NM, United States
Implications of an "Inverse Storage Effect" on the Sensitivity of Watershed Transit Times to Rainfall Variability at Plynlimon, Wales (78688)
Daniel C Wilusz1, Ciaran J Harman2 and William P Ball1, (1)Johns Hopkins University, Geography and Environmental Engineering, Baltimore, MD, United States, (2)Johns Hopkins University, Department of Geography and Environmental Engineering, Baltimore, MD, United States
Storage Mixing Variability Across Seasons and Scales in Tanzania (61762)
Alexander Jiannis Koutsouris, Stockholm University, Stockholm, Sweden and Steve W Lyon, Stockholm University, Bolin Centre for Climate Research, Stockholm, Sweden
Relative controls of external and internal variability on time-variable transit time distributions, and the importance of StorAge Selection function approaches (71953)
Minseok Kim, Johns Hopkins University, Environmental Health and Engineering, Baltimore, MD, United States, Luke A Pangle, University of Arizona, Tucson, United States, Charlene Cardoso, Biosphere2, University of Arizona, Tucson, AZ, United States, Marco Lora, University of Padua, Padua, Italy, Antonio Alves Meira Neto, University of Arizona, Hydrology and Atmospheric Sciences, Tucson, AZ, United States, Till H M Volkmann, University of Arizona, Biosphere 2, Tucson, AZ, United States; Biosphere 2, University of Arizona, Tucson, United States, Yadi Wang, University of Arizona, Environmental Science, Tucson, United States, Ciaran J Harman, Johns Hopkins University, Department of Geography and Environmental Engineering, Baltimore, MD, United States and Peter A A Troch, University of Arizona, Hydrology and Atmospheric Sciences, Tucson, United States
The Relative Importance of Time-Variable Transport through Hillslope and Riparian Hydrogeomorphic Units on the Emergent TTD of a Small Forested Piedmont Watershed (82843)
Shane M Putnam, Johns Hopkins University, Environmental Health and Engineering, Baltimore, MD, United States and Ciaran J Harman, Johns Hopkins University, Department of Geography and Environmental Engineering, Baltimore, MD, United States
What Is the Age of Transpiring Fluxes? Exploring the Impact of Vegetation on Water and Solute Mass Balance (71827)
Paolo Benettin1, Pierre Queloz2, Andrea Rinaldo2 and Gianluca Botter3, (1)Swiss Federal Institute of Technology Lausanne, ENAC/IIE/ECHO, Lausanne, Switzerland, (2)Swiss Federal Institute of Technology Lausanne, Lausanne, Switzerland, (3)University of Padua, Department of Civil, Environmental and Architectural Engineering, Padua, Italy
Variability of Residence Time tracer Concentrations at the Southern Sierra Critical Zone Observatory during the California Drought (76346)
Ate Visser1, Melissa Thaw2, Erin Stacy2, Carolyn T Hunsaker3, Richard K Bibby1, Amanda L Deinhart1, Kerri Schorzman4, Christine M Egnatuk1, Martha H Conklin5 and Brad Esser1, (1)Lawrence Livermore National Laboratory, Livermore, CA, United States, (2)University of California Merced, Merced, CA, United States, (3)USDA Forest Service, Vallejo, CA, United States, (4)Lawrence Livermore National Lab, Livermore, CA, United States, (5)University of California Merced, Civil and Environmental Engineering, Merced, United States
Factors influencing water transit times in snowmelt-dominated, headwater catchments of the western U.S. (71150)
David W Clow and Alisa Mast, USGS Colorado Water Science Center Denver, Denver, CO, United States
Tracer-aided modelling using long-term and high resolution data to assess non-stationarity in stream water age (64767)
Christian Birkel, University of Costa Rica, Department of Geography and Water and Global Change Observatory, San Jose, Costa Rica, Chris Soulsby, University of Aberdeen, Aberdeen, United Kingdom and Doerthe Tetzlaff, University of Aberdeen, Northern Rivers Institute, Aberdeen, United Kingdom
Combining Empirical Relationships with Data Based Mechanistic Modeling to Inform Solute Tracer Investigations across Stream Orders (84387)
Cameron Herrington, University of New Mexico Main Campus, Albuquerque, NM, United States, Ricardo Gonzalez-Pinzon, University of New Mexico Main Campus, Gerald May Department of Civil, Construction & Environmental Engineering, Albuquerque, United States, Tim P Covino, Montana State University, Department of Land Resources and Environmental Sciences, Bozeman, MT, United States and Jacob Mortensen, University of New Mexico Main Campus, Civil Engineering, Albuquerque, NM, United States
REGIONAL EVALUATION OF GROUNDWATER AGE DISTRIBUTIONS USING LUMPED PARAMETER MODELS WITH LARGE, SPARSE DATASETS: EXAMPLE FROM THE CENTRAL VALLEY, CALIFORNIA, USA (81193)
Bryant C. Jurgens1, John Karl Bohlke2, Stefan Voss1, Miranda S Fram1 and Brad Esser3, (1)USGS California Water Science Center Sacramento, Sacramento, CA, United States, (2)USGS, 431 National Center, Reston, VA, United States, (3)Lawrence Livermore National Laboratory, Livermore, CA, United States
Watershed Influences on Residence Time and Oxygen Reduction Rates in an Agricultural Landscape (73271)
Christopher L Shope, US Geological Survey, Utah Water Science Center, Salt Lake City, UT, United States and Anthony J Tesoriero, USGS Oregon Water Science Center, Portland, United States
Evaluating the information content of multiple groundwater age tracers in projecting nitrate vulnerability (81328)
Jamal Alikhani1, Arash Massoudieh2, Amanda L Deinhart3, Ate Visser3, Brad Esser3 and Jean E Moran4, (1)The Catholic University of America, Civil Engineering, Washington, DC, United States, (2)The Catholic University of America, Civil Engineering, Washington, United States, (3)Lawrence Livermore National Laboratory, Livermore, CA, United States, (4)California State University East Bay, Department of Earth and Environmental Sciences, Hayward, United States
36Cl ages of deep saline groundwater in coastal sedimentary areas in Japan (64226)
Yuki Tosaki1, Noritoshi Morikawa1, Kohei Kazahaya1, Masaya Yasuhara2, Hiroshi Takahashi1, Keika Horiguchi1, Tsutomu Sato1, Masaaki Takahashi1 and Akihiko Inamura1, (1)Geological Survey of Japan, AIST, Research Institute of Earthquake and Volcano Geology, Tsukuba, Japan, (2)Rissho University, Faculty of Geo-Environmental Science, Kumagaya, Japan
Laboratory for Radiokrypton Dating (75341)
Jake Christopher Zappala1,2, Wei Jiang3, Kevin G Bailey1, Zheng-Tian Lu2,3, Peter Mueller3 and Thomas P. O'Connor1, (1)Argonne National Laboratory, Physics Division, Lemont, United States, (2)University of Chicago, Department of Physics and Enrico Fermi Institute, Chicago, IL, United States, (3)Argonne National Laboratory, Physics Division, Argonne, IL, United States
Sources and Residence Times of Groundwater in Shasta County, CA Determined by Isotopic Tracers (75496)
Elizabeth Peters1, Jean E Moran2, Amanda L Deinhart3, Sarah Kealy Roberts3, Brad Esser3 and Ate Visser3, (1)California State University East Bay, Hayward, CA, United States, (2)California State University East Bay, Department of Earth and Environmental Sciences, Hayward, United States, (3)Lawrence Livermore National Laboratory, Livermore, CA, United States
Analytical solutions for in the subsurface environment solute transport in a convergent flow tracer test. (68986)
Bing-Rui Xie, National Central University, Kanagawa, Japan, Keng-Hsin Lai, National Central University, Jhongli City, Taoyua County, Taiwan and Jui-Sheng Chen, NCU National Central University of Taiwan, Graduate Institute of Applied Geology, Jhongli, Taiwan
Velocity and Celerity Characteristics in the MIPs model (75217)
Keith Beven, University of Lancaster, Lancaster, United Kingdom
Towards a Fully Distributed Characterization of Water Residence and Transit Time by Coupled Hydrology-Transport Modeling (78117)
Federica Remondi1, Simone Fatichi2 and Paolo Burlando1, (1)ETH Swiss Federal Institute of Technology Zurich, Institute of Environmental Engineering, Zurich, Switzerland, (2)ETH Zurich, Institute of Environmental Engineering, Zurich, Switzerland

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