PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
May 20, 2019Reviews of Geophysics360 citationsOpen Access

The Demographics of Water: A Review of Water Ages in the Critical Zone

View Full Paper
MSMatthias SprengerCSChristine StumppMWMarkus Weiler

Key Points

Key points are not available for this paper at this time.

Abstract

Abstract The time that water takes to travel through the terrestrial hydrological cycle and the critical zone is of great interest in Earth system sciences with broad implications for water quality and quantity. Most water age studies to date have focused on individual compartments (or subdisciplines) of the hydrological cycle such as the unsaturated or saturated zone, vegetation, atmosphere, or rivers. However, recent studies have shown that processes at the interfaces between the hydrological compartments (e.g., soil‐atmosphere or soil‐groundwater) govern the age distribution of the water fluxes between these compartments and thus can greatly affect water travel times. The broad variation from complete to nearly absent mixing of water at these interfaces affects the water ages in the compartments. This is especially the case for the highly heterogeneous critical zone between the top of the vegetation and the bottom of the groundwater storage. Here, we review a wide variety of studies about water ages in the critical zone and provide (1) an overview of new prospects and challenges in the use of hydrological tracers to study water ages, (2) a discussion of the limiting assumptions linked to our lack of process understanding and methodological transfer of water age estimations to individual disciplines or compartments, and (3) a vision for how to improve future interdisciplinary efforts to better understand the feedbacks between the atmosphere, vegetation, soil, groundwater, and surface water that control water ages in the critical zone.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Sprenger et al. (2019) studied this question.

synapsesocial.com/papers/69d97208a1d151c65f6841d2https://doi.org/10.1029/2018rg000633
Ask AI
Helpful
Bookmark
Share
View Full Paper

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Bayesian analysis of input uncertainty in hydrological modeling: 1. Theory2006 · 600 citations
  2. 2Model-aided quantification of dissolved carbon and nitrogen release after windthrow disturbance in an Austrian karst system2016 · 57 citations
  3. 3Soil moisture variation and plant water stress at the Hartheim Scots pine plantation1996 · 29 citations
  4. 4Effect of biotic and abiotic factors on inter- and intra-event variability in stemflow rates in oak and pine stands in a Mediterranean mountain area2018 · 71 citations
  5. 5Mechanisms of consistently disconnected soil water pools over (pore)space and time2019 · 8 citations