RIVERMET©: An Excel-based tool to calculate river metabolism from diel oxygen–concentration curves

Izagirre, Oihana; Bermejo, M.; Pozo, Jesús; Elosegi, Arturo

doi:10.1016/j.envsoft.2005.10.001

Cited by 42 publications

(44 citation statements)

References 67 publications

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“…Stream and river metabolism may, therefore, be a good indicator of perturbations associated with global climate change (Williamson et al 2008), including changes in hydrology (e.g., discharge [Reid et al 2006], floods [Uehlinger 2006). Advances in sensor technology, data collection, and analysis have only recently made it possible to generate data sets of daily metabolism for monthly or yearly intervals (Izagirre et al 2007). Thus, there is an opportunity to link hydrologic observations with continuous metabolism records to forecast the potential ramifications of altered hydrologic regimes for river ecosystem function.…”

Section: Introductionmentioning

confidence: 99%

Predicting effects of hydrologic alteration and climate change on ecosystem metabolism in a western U.S. river

Marcarelli

Kirk

Baxter

2010

Ecological Applications

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Abstract. We estimated past and future hydrographs and patterns of ecosystem metabolism in a fifth-order river of the western United States, where water use and climate change are both expected to alter hydrology in the immediate future. We first reconstructed the unregulated hydrograph to estimate how the current hydrograph has been altered. Due to consumptive use, 95% as irrigation, current discharge during summer (July-September) was 70% lower than would occur if the river was unregulated. We then predicted a future hydrograph including effects of consumptive use and climate change; the magnitude of flow changes were minor under this regime relative to those already manifested by consumptive uses. We used time-series regression and a six-year continuous record of open-water metabolism to demonstrate that, under the current hydrologic regime, gross primary production (GPP) was dependent on both water temperature and flow and that ecosystem respiration (ER) was most dependent on temperature. Monte Carlo simulations under the three hydrologic regimes and three temperature scenarios (current, þ28C, þ48C) suggested that flow, but not temperature, may have profound effects on the magnitude of metabolism. Linking temporally detailed analyses of ecological function and hydrology may lead to better understanding and management of changes due to basin-scale water use and/or global-scale climate change.

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Section: Introductionmentioning

confidence: 99%

Predicting effects of hydrologic alteration and climate change on ecosystem metabolism in a western U.S. river

Marcarelli

Kirk

Baxter

2010

Ecological Applications

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“…Negative ER is used to show oxygen consumption and a larger negative number indicates increased respiration. All metabolism calculations were performed using the RIVERMET© spreadsheet package (Izagirre et al, 2007). This analysis resulted in 198 estimates of open-water metabolism per year at GS and 224 at GC.…”

Section: Stream Metabolismmentioning

confidence: 99%

“…Accrual of ground water (A) was judged to be negligible (Izagirre et al, 2007). Daily GPP (mg m -2 day -1 ) was calculated from the sum of GPP rates for each time interval during daylight.…”

Section: Stream Metabolismmentioning

confidence: 99%

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Forest clearfelling effects on dissolved oxygen and metabolism in peatland streams

O’Driscoll

O’Connor

Asam

et al. 2016

Journal of Environmental Management

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Peatlands cover ~3% of the world's landmass and large expanses have been altered significantly as a consequence of land use change. Forestry activities are a key pressure on these catchments increasing suspended sediment and nutrient export to receiving waters. The aim of this study was to investigate stream dissolved oxygen (DO) and metabolic activity response following clearfelling of a 39-year-old lodgepole pine and Sitka spruce forestry in an upland peat catchment. Significant effects of clearfelling on water temperature, flows, DO and stream metabolic (photosynthesis, respiration) rates were revealed.Stream temperature and discharge significantly increased in the study stream following clearfelling.Instream ecosystem respiration increased significantly following clearfelling, indicating an increase in the net consumption of organic carbon.

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“…These subsets for the two rivers are indicated by the shaded rows of Table 5. For the remaining parameters, an adaptation of literature values based on prior knowledge was used, particularly for the reaeration constant K r (Hornberger and Kelly, 1975;Thomann and Mueller, 1987;Aalderink and Jovin, 1997;Chapra, 1997;Izagirre et al, 2005). The actual parameter estimation and the uncertainty analysis were carried out with the use of the PEAS toolbox (Checchi et al, 2007).…”

Section: Sensitivity Analysis and Identifiable Parametersmentioning

confidence: 99%

Water quality modelling for small river basins

Marsili-Libelli

Giusti

2008

Environmental Modelling & Software

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Water quality modelling in small rivers is often considered unworthy from a practical and economic viewpoint. This paper shows instead that a simple model structure can be set up to describe the stationary water quality in small river basins in terms of carbon and nitrogen compounds, when the use of complex models is unfeasible. In short rivers point and nonpoint sources play a key role in shaping the model response, being as important as the self-purification dynamics. Further, the varying river characteristics, in terms of morphology, hydraulics and vegetation, require the introduction of variable parameters, thus complicating the originally simple model structure. To determine the identifiability of the resulting model an identifiability assessment was carried out, based on sensitivity analysis and optimal experiment design criteria. The identifiable subset was determined by ranking the parameters in terms of sensitivity and computing the associated Fisher Information Matrices. It was found that the inclusion of the nonpoint sources as piecewise constant parameters affected the identifiability to a considerable extent. However, the combined parameteresources calibration was made possible by the use of a robust estimation algorithm, which also provided estimation confidence limits. The calibrated model responses are in good agreement with the data and can be used as scenario generators in a general strategy to conserve or improve the water quality.

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RIVERMET©: An Excel-based tool to calculate river metabolism from diel oxygen–concentration curves

Cited by 42 publications

References 67 publications

Predicting effects of hydrologic alteration and climate change on ecosystem metabolism in a western U.S. river

Predicting effects of hydrologic alteration and climate change on ecosystem metabolism in a western U.S. river

Forest clearfelling effects on dissolved oxygen and metabolism in peatland streams

Water quality modelling for small river basins

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