C-Q hysteresis analysis

Knowledge graph centered on C-Q hysteresis analysis with 72 nodes and 149 connections. Top connected: Spruce, Atriplex canescens, climate change, snowpack persistence, groundwater storage dynamics.

Method synopsis

A novel approach that captures the difference in concentration in a river segment over the difference in discharge, accounting for gains, losses or fractional solute turnover between sampling stations. This method examines spatial processes causing changes in solute concentrations across multiple sampling locations.

Synthesized from method descriptions across 2 papers using this protocol.

Procedure as described in the canonical source

Steps below were extracted from the paper that introduces this protocol — Differential C-Q Analysis: A New Approach to Inferring Lateral Transport and Hydrologic Transients Within Multiple Reaches of a Mountainous Headwater Catchment (2020), Frontiers in Water. Implementations in other papers (listed below) may differ.

1. Differential C-Q analysis calculation
   The difference in time (Δt) was first assessed across sampling stations that define the stream segment, then incorporated into differential analyses such that ΔQt = Qupstream,t+Δt − Qdownstream,t and ΔCt = Cupstream,t+Δt − Cdownstream,t. Hydrograph peaks were coincidental for EAQ and EBC stations, while the difference in hydrograph peak at PH was 1 day. These plots were interpreted according to Table 1 for analysis of gains and losses in solute turnover.
   Quantities: Calculated for all 14 different solutes across three sampling stationsDuration: Applied to entire dataset spanning 2015-2018Conditions: Data processing and analysis
   Equipment: computational analysis software

Typical Equipment

• computational analysis software

Output Measurements

• differential concentration (ΔC)
• differential discharge (ΔQ)
• solute behavior patterns

Papers Using This Protocol (3)

Species Studied With This Protocol

Places Where Used