Controls on biochemical oxygen demand in the upper Klamath River, Oregon

Sullivan, Annett B.; Snyder, Dean M.; Rounds, Stewart A.

doi:10.1016/j.chemgeo.2009.08.007

Cited by 44 publications

(27 citation statements)

References 24 publications

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“…In headwater streams with low levels of organic material, the DO concentration may drop by only 10%–20% below saturation levels. By contrast, in rivers or streams with high amounts of organic material, the DO concentration can drop by 90% [ Volkmar and Dahlgren , ; Sullivan et al ., ]. Further, increases in temperature will increase biological activity within a stream reach, and therefore, future DO concentrations will be likely lower than the concentrations presented within this paper.…”

Section: Resultsmentioning

confidence: 99%

Effects of climate change on stream temperature, dissolved oxygen, and sediment concentration in the Sierra Nevada in California

Ficklin

Stewart

Maurer

2013

Water Resources Research

154

118

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[1] Warmer temperatures are expected to raise mountain stream temperatures, affecting water quality and ecosystem health. We demonstrate the importance of climate-driven changes in hydrology as fundamental to understanding changes in the local water quality. In particular, we focus on changes in stream temperature, dissolved oxygen (DO) concentrations, and sediment transport in mountainous, snowmelt-dominated, and waterlimited systems, using the Sierra Nevada as our case study. Downscaled output from an ensemble of general circulation model projections for the A2 (higher greenhouse gas) emission scenario was used to drive the Soil and Water Assessment Tool with a new integrated stream temperature model on the subbasin scale. Spring and summer stream temperature increase by 1 C-5.5 C, with varying increases among subbasins. The highest projected stream temperatures are in the low-elevation subbasins of the southern Sierra Nevada, while the northern Sierra Nevada, with distinct impacts on snowmelt and subsurface flow contributions to streamflow, shows moderated increases. The spatial pattern of stream temperature changes was the result of differences in surface and subsurface hydrologic, snowmelt, and air temperature changes. Concurrent with stream temperature increases and decreases in spring and summer flows, simulations indicated decreases in DO (10%) and sediment (50%) concentrations by 2100. Stream temperature and DO concentrations for several major streams decline below survival thresholds for several native indicator species. These results highlight that climatic changes in water-limited mountain systems may drive changes in water quality that have to be understood on the reach scale for developing adaptive management options.Citation: Ficklin, D. L., I. T. Stewart, and E. P. Maurer (2013), Effects of climate change on stream temperature, dissolved oxygen, and sediment concentration in the Sierra Nevada in California, Water Resour.

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Section: Resultsmentioning

confidence: 99%

Effects of climate change on stream temperature, dissolved oxygen, and sediment concentration in the Sierra Nevada in California

Ficklin

Stewart

Maurer

2013

Water Resources Research

154

118

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“…Twenty miles (32 km) downstream, Keno Dam controls river elevation and downstream flow. [16] The Klamath River from the Link River to Keno Dam experiences poor water quality conditions on a seasonal basis, creating inhospitable conditions for fish and other aquatic organisms. The Link River, the Klamath Straits Drain, and the Klamath River at Keno all were classified as having 'very poor' water quality in summer by the Oregon Water Quality Index.…”

Section: Study Area and Data Collectionmentioning

confidence: 99%

“…Study area located at the Klamath River at Railroad Bridge at Lake Ewauna, Oregon, USA (adapted from Sullivan et al[16]). …”

mentioning

confidence: 99%

Generalized regression neural network-based approach for modelling hourly dissolved oxygen concentration in the Upper Klamath River, Oregon, USA

Heddam

2014

Environmental Technology

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In this study, a comparison between generalized regression neural network (GRNN) and multiple linear regression (MLR) models is given on the effectiveness of modelling dissolved oxygen (DO) concentration in a river. The two models are developed using hourly experimental data collected from the United States Geological Survey (USGS Station No: 421209121463000 [top]) station at the Klamath River at Railroad Bridge at Lake Ewauna. The input variables used for the two models are water, pH, temperature, electrical conductivity, and sensor depth. The performances of the models are evaluated using root mean square errors (RMSE), the mean absolute error (MAE), Willmott's index of agreement (d), and correlation coefficient (CC) statistics. Of the two approaches employed, the best fit was obtained using the GRNN model with the four input variables used.

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“…macrophytes or riparian trees). Recent work by Sullivan et al (2010) has further elucidated the oxygen demand of organic material in rivers, suggesting the existence of two key pools: labile and refractory. In their study, the labile component was predominantly associated with the more rapid decay of particulate organic matter, whereas the refractory component was associated with the dissolved organic fraction.…”

Section: Introductionmentioning

confidence: 99%

Sediment targets for informing river catchment management: international experience and prospects

Collins

Naden

Sear

et al. 2011

Hydrological Processes

121

112

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Abstract:Sediment plays a pivotal role in determining the physical, chemical and biological integrity of aquatic ecosystems. A range of factors influences the impacts of sediment pressures on aquatic biota, including concentration, duration of exposure, composition and particle size. In recognition of the need to assess environmental status for sediment and mitigate excessive sediment pressures on aquatic habitats, both water column and river substrate metrics have been proposed as river sediment targets. Water column metrics include light penetration, turbidity, sediment concentration summary statistics and sediment regimes. Substrate metrics include embeddedness, the fredle index and riffle stability. Identification of meaningful numeric targets along these lines has, however, been undermined by various issues including the uncertainty associated with toxicological dose-response profiles and the impracticalities of deploying statistically robust sampling strategies capable of supporting catchment-scale targets. Many of the thresholds reported are based on correlative relationships that fail to capture the specific mechanisms controlling sediment impacts on aquatic habitats and are stationary in nature. Temporal windows represented by the key life stages of specific species must be given greater emphasis. Given such issues and the need to support the revision of sediment targets for river catchment management, it is proposed that greater emphasis should be placed on developing generic modelling toolkits with the functionality for coupling current or future projected sediment regimes with biological response for a range of biota. Such tools should permit the identification of river catchment-specific targets within a national context, based on biological effect and incorporate sufficient flexibility for utilizing updated physical, chemical, biological and catchment attribute data. Confidence will continue to be required in compliance screening to ensure cost-effective management programmes for avoiding disproportionate investment in impacted river catchments.

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Controls on biochemical oxygen demand in the upper Klamath River, Oregon

Cited by 44 publications

References 24 publications

Effects of climate change on stream temperature, dissolved oxygen, and sediment concentration in the Sierra Nevada in California

Effects of climate change on stream temperature, dissolved oxygen, and sediment concentration in the Sierra Nevada in California

Generalized regression neural network-based approach for modelling hourly dissolved oxygen concentration in the Upper Klamath River, Oregon, USA

Sediment targets for informing river catchment management: international experience and prospects

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