A Comparison of Time‐Frequency Signal Processing Methods for Identifying Non‐Perennial Streamflow Events From Streambed Surface Temperature Time Series-Reference-Cited by-同舟云学术

A Comparison of Time‐Frequency Signal Processing Methods for Identifying Non‐Perennial Streamflow Events From Streambed Surface Temperature Time Series

Published:2021-09 Issue:9 Volume:57 Page:
ISSN:0043-1397
Container-title:Water Resources Research
language:en
Short-container-title:Water Resources Research

Author:

Partington D.¹^ORCID,Shanafield M.¹^ORCID,Turnadge C.²^ORCID

Affiliation:

1. College of Science and Engineering and National Centre for Groundwater Research and Training Flinders University Adelaide SA Australia

2. CSIRO Land and Water Adelaide SA Australia

Publisher

American Geophysical Union (AGU)

Subject

Water Science and Technology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1029/2020WR028670

Reference78 articles.

1. Daily Mean Streamflow Prediction in Perennial and Non-Perennial Rivers Using Four Data Driven Techniques

2. Electrical Resistance Sensors Record Spring Flow Timing, Grand Canyon, Arizona

3. Multiscale characterization of streamflow and suspended sediment concentration data using Hilbert–Huang transform and time dependent intrinsic correlation analysis

4. Climatic and hydrological variations during the last 117–166 years in the south of the Iberian Peninsula, from spectral and correlation analyses and continuous wavelet analyses

5. Transient or steady-state? Using vertical temperature profiles to quantify groundwater-surface water exchange

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