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Title: On the probabilistic structure of water age: Probabilistic Water Age

Journal Article · · Water Resources Research
DOI:https://doi.org/10.1002/2015WR017027· OSTI ID:1454928
 [1];  [1]
  1. Duke Univ., Durham, NC (United States). Department of Civil and Environmental Engineering

We report the age distribution of water in hydrologic systems has received renewed interest recently, especially in relation to watershed response to rainfall inputs. The purpose of this contribution is first to draw attention to existing theories of age distributions in population dynamics, fluid mechanics and stochastic groundwater, and in particular to the McKendrick-von Foerster equation and its generalizations and solutions. A second and more important goal is to clarify that, when hydrologic fluxes are modeled by means of time-varying stochastic processes, the age distributions must themselves be treated as random functions. Once their probabilistic structure is obtained, it can be used to characterize the variability of age distributions in real systems and thus help quantify the inherent uncertainty in the field determination of water age. Finally, we illustrate these concepts with reference to a stochastic storage model, which has been used as a minimalist model of soil moisture and streamflow dynamics.

Research Organization:
Duke Univ., Durham, NC (United States)
Sponsoring Organization:
USDOE Office of Science (SC), Biological and Environmental Research (BER)
Grant/Contract Number:
SC0006967
OSTI ID:
1454928
Journal Information:
Water Resources Research, Vol. 51, Issue 5; ISSN 0043-1397
Publisher:
American Geophysical Union (AGU)Copyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 22 works
Citation information provided by
Web of Science

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Cited By (8)

Fifty years of Water Resources Research : Legacy and perspectives for the science of hydrology: FIFTY YEARS OF WATER RESOURCES RESEARCH journal September 2015
Using high resolution tracer data to constrain water storage, flux and age estimates in a spatially distributed rainfall-runoff model: Tracers to Constrain Stores, Fluxes and Ages in Distributed Model journal June 2016
Characterization of mean transit time at large springs in the Upper Colorado River Basin, USA: a tool for assessing groundwater discharge vulnerability journal July 2016
Transit-time and age distributions for nonlinear time-dependent compartmental systems journal January 2018
Age distribution dynamics with stochastic jumps in mortality
  • Calabrese, Salvatore; Porporato, Amilcare; Laio, Francesco
  • Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, Vol. 473, Issue 2207 https://doi.org/10.1098/rspa.2017.0451
journal November 2017
The muddle of ages, turnover, transit, and residence times in the carbon cycle journal November 2016
Spatially distributed characterization of soil-moisture dynamics using travel-time distributions journal January 2017
The Demographics of Water: A Review of Water Ages in the Critical Zone text January 2019