Pulse Brain · Growing Health Evidence Index
Tier 4 — Narrative / commentaryPeer-reviewed

Where Is the Bottom of a Watershed?

Laura E. Condon, Katherine H. Markovich, Christa Kelleher, Jeffrey J. McDonnell, Grant Ferguson, Jennifer C. McIntosh

Water Resources Research · 2020

Read source ↗ All evidence

Summary

This commentary addresses a fundamental gap in hydrological science: how to define the lower boundary of a watershed. The authors document substantial inconsistency between surface water and groundwater hydrological communities in conceptualising watershed depth and subsurface flow paths. The paper calls for improved interdisciplinary dialogue and identifies research priorities needed to develop realistic watershed models that account for deep subsurface hydrological processes.

UK applicability

UK watershed management and hydrological assessment frameworks may benefit from clearer definitions of watershed boundaries and integration of deep groundwater flow considerations, particularly in regions with complex hydrogeology or significant groundwater-surface water interactions. The paper's call for standardised approaches could inform UK guidance on catchment characterisation and environmental assessment.

Key measures

Conceptual and physical model approaches to watershed depth definition; variability in how 'deep' is defined across hydrological disciplines; identification of situations where deep flow paths are essential to watershed conceptualisation

Outcomes reported

The paper reviews existing approaches to defining watershed lower boundaries across surface water and groundwater hydrological communities, identifying substantial variability in conceptualisation of depth and watershed extent. It identifies key research priorities at the interface of catchment hydrology and hydrogeology where deep subsurface flow paths influence realistic watershed system models.

Theme
Measurement & metrics
Subject
Measurement methods & nutrient profiling
Study type
Commentary
Study design
Narrative review
Source type
Peer-reviewed study
Status
Published
System type
Other
DOI
10.1029/2019wr026010
Catalogue ID
SNmokymahk-2a1wi4

Topic tags

Pulse AI · ask about this record

Dig deeper with Pulse AI.

Pulse AI has read the whole catalogue. Ask about this record, its theme, or how the findings apply to UK farming and policy — every answer cites the underlying studies.