scholarly journals Spatial and temporal dynamics of cyanotoxins and their relation to other water quality variables in Upper Klamath Lake, Oregon, 2007-09

2012 ◽  
Author(s):  
Sara L. Caldwell Eldridge ◽  
Tamara M. Wood ◽  
Kathy R. Echols
Keyword(s):  
Water Quality ◽  
Temporal Dynamics ◽  
Water Quality Variables ◽  
Spatial And Temporal Dynamics ◽  
Upper Klamath Lake ◽  
Klamath Lake

Health and condition of endangered young-of-the-year Lost River and Shortnose suckers relative to water quality in Upper Klamath Lake, Oregon, 2014–2015

2017 ◽  
Author(s):  
Summer M. Burdick ◽  
Carla M. Conway ◽  
Diane G. Elliott ◽  
Marshal S. Hoy ◽  
Amari Dolan-Caret ◽  
...  
Keyword(s):  
Water Quality ◽  
Upper Klamath Lake ◽  
Young Of The Year ◽  
Klamath Lake

scholarly journals Water quality in two Australian dryland rivers: spatial and temporal variability and the role of flow

2010 ◽  
Vol 61 (8) ◽  
pp. 864 ◽  
Author(s):  
Fran Sheldon ◽  
Christine S. Fellows
Keyword(s):  
Water Quality ◽  
Temporal Variability ◽  
Temporal Dynamics ◽  
Spatial And Temporal Variability ◽  
Quality Guidelines ◽  
Spatial And Temporal Dynamics ◽  
Flow Phase ◽  
Ecological Patterns ◽  
Patterns And Processes ◽  
Dryland Rivers

Water quality, along with hydrology, plays an important role in the spatial and temporal dynamics of a range of ecological patterns and processes in large rivers and is also often a key component of river health assessments. Geology and land use are significant drivers of water quality during flow periods while during periods of no-flow, local-scale factors such as evaporation, groundwater influence and the concentration and precipitation of compounds are important. This study explored the water quality changes in two Australian dryland rivers, the Cooper Creek (Lake Eyre Basin) and the Warrego River (Murray–Darling Basin), across different hydrological phases over several years. Water quality varied both spatially and temporally; the greatest spatial variability occurred during the no-flow phase, with temporal changes driven by flow. Concentrations of major anions and cations also varied spatially and temporally, with an overall cation dominance of calcium and magnesium and an anion dominance of bicarbonate. This bicarbonate dominance contrasts with previous data from inland lentic systems where sodium chloride was found to dominate. Such extreme spatial and temporal variability hampers successful derivation of water quality guidelines for these variable rivers and suggests such guidelines would need to be developed with respect to ‘flow phase’.

scholarly journals Spatial and temporal dynamics of water quality in Batticaloa lagoon in Sri Lanka

2017 ◽  
Vol 28 (3) ◽  
pp. 281
Author(s):  
M. Sugirtharan ◽  
S. Pathmarajah ◽  
M. I. M. Mowjood
Keyword(s):  
Water Quality ◽  
Sri Lanka ◽  
Temporal Dynamics ◽  
Spatial And Temporal Dynamics

scholarly journals Algal toxins in Upper Klamath Lake, Oregon: Linking water quality to juvenile sucker health

Fact Sheet ◽  
2010 ◽  
Author(s):  
S.P. VanderKooi ◽  
S.M. Burdick ◽  
K.R. Echols ◽  
C.A. Ottinger ◽  
B.H. Rosen ◽  
...  
Keyword(s):  
Water Quality ◽  
Algal Toxins ◽  
Upper Klamath Lake ◽  
Klamath Lake

Effects of a Forested State Park on Suspended Solid and Dissolved Organic Carbon Concentrations in an Agriculturally Impacted Watershed

2021 ◽  
Author(s):  
Eileen Rintsch ◽  
Tessa Farthing ◽  
Bartosz Grudzinski
Keyword(s):  
Water Quality ◽  
Organic Carbon ◽  
Dissolved Organic Carbon ◽  
Agricultural Land ◽  
Temporal Dynamics ◽  
Suspended Solid ◽  
Spatial And Temporal Dynamics ◽  
Agricultural Areas ◽  
Work Done ◽  
Carbon Concentrations

<p>Previous research has indicated that agricultural land use can reduce water quality in streams. This includes: 1) an increase in suspended solids (SS) due to elevated erosion and 2) shifts in dissolved organic carbon (DOC) particularly due to different C:N between agricultural crops and natural vegetation. We examine spatial and temporal dynamics of SS and DOC in four rivers, located in an agriculturally impacted watershed in SW Ohio, as they flow from agricultural land cover through a naturally forested State Park. Nineteen surface water sites were sampled bimonthly from December 2019 to December 2020. Results will be presented to determine if a forested state park improved the water quality in SW Ohio. We will further discuss how the work done in SW Ohio could be replicated in other intensive agricultural areas of Europe with similar climate patterns.</p>

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