A primer on stream temperature processes
Stream temperature is one of the most critical factors controlling aquatic ecosystem health.
Practitioners and researchers from a range of fields, including biology, ecology, hydrology …
Practitioners and researchers from a range of fields, including biology, ecology, hydrology …
[HTML][HTML] Local determinants influencing stream water quality
A Hamid, SU Bhat, A Jehangir - Applied Water Science, 2020 - Springer
It is important to have reliable information on various natural and anthropogenic factors
responsible for influencing and shaping stream water quality parameters as long as water …
responsible for influencing and shaping stream water quality parameters as long as water …
The NorWeST summer stream temperature model and scenarios for the western US: A crowd‐sourced database and new geospatial tools foster a user community …
Thermal regimes are fundamental determinants of aquatic ecosystems, which makes
description and prediction of temperatures critical during a period of rapid global change …
description and prediction of temperatures critical during a period of rapid global change …
[HTML][HTML] Machine-learning methods for stream water temperature prediction
M Feigl, K Lebiedzinski, M Herrnegger… - Hydrology and Earth …, 2021 - hess.copernicus.org
Water temperature in rivers is a crucial environmental factor with the ability to alter hydro-
ecological as well as socio-economic conditions within a catchment. The development of …
ecological as well as socio-economic conditions within a catchment. The development of …
Quantifying thermal exposure for migratory riverine species: Phenology of Chinook salmon populations predicts thermal stress
AM FitzGerald, SN John, TM Apgar… - Global Change …, 2021 - Wiley Online Library
Migratory species are particularly vulnerable to climate change because habitat throughout
their entire migration cycle must be suitable for the species to persist. For migratory species …
their entire migration cycle must be suitable for the species to persist. For migratory species …
The potential impacts of climate change on biodiversity in flowing freshwater systems
JH Knouft, DL Ficklin - Annual Review of Ecology, Evolution …, 2017 - annualreviews.org
Ongoing increases in air temperature and changing precipitation patterns are altering water
temperatures and flow regimes in lotic freshwater systems, and these changes are expected …
temperatures and flow regimes in lotic freshwater systems, and these changes are expected …
River temperature research and practice: Recent challenges and emerging opportunities for managing thermal habitat conditions in stream ecosystems
There is growing evidence that river temperatures are increasing under climate change,
which is expected to be exacerbated by increased abstractions to satisfy human water …
which is expected to be exacerbated by increased abstractions to satisfy human water …
A hybrid model for river water temperature as a function of air temperature and discharge
M Toffolon, S Piccolroaz - Environmental Research Letters, 2015 - iopscience.iop.org
Water temperature controls many biochemical and ecological processes in rivers, and
theoretically depends on multiple factors. Here we formulate a model to predict daily …
theoretically depends on multiple factors. Here we formulate a model to predict daily …
[HTML][HTML] A spatio-temporal statistical model of maximum daily river temperatures to inform the management of Scotland's Atlantic salmon rivers under climate change
The thermal suitability of riverine habitats for cold water adapted species may be reduced
under climate change. Riparian tree planting is a practical climate change mitigation …
under climate change. Riparian tree planting is a practical climate change mitigation …
[HTML][HTML] Impact of deep learning-based dropout on shallow neural networks applied to stream temperature modelling
AP Piotrowski, JJ Napiorkowski, AE Piotrowska - Earth-Science Reviews, 2020 - Elsevier
Although deep learning applicability in various fields of earth sciences is rapidly increasing,
shallow multilayer-perceptron neural networks remain widely used for regression problems …
shallow multilayer-perceptron neural networks remain widely used for regression problems …