Coeur d'Alene Lake, Idaho: Insights gained From limnological studies of 1991-92 and 2004-06

Wood, Molly S.; Beckwith, Michael A.

doi:10.3133/sir20085168

Cited by 5 publications

(9 citation statements)

References 8 publications

(47 reference statements)

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“…To estimate diffuse pollution, each land‐use category was assigned TN and TP export coefficient values (kg ha −1 yr −1 ). As these coefficients are not available for Ethiopia, we used values following a review of the literature for applicable land uses (Table 1) (USEPA, 2001; Lin, 2004; Yetunde, 2006; Wood and Beckwith, 2008; Ding et al, 2010). The land use and topography of Kombolcha includes areas of forest, grassland, and crops on hillsides, mountainous areas, and relatively flat lands (Zinabu, unpublished data, 2017).…”

Section: Methodsmentioning

confidence: 99%

Estimating Total Nitrogen and Phosphorus Losses in a Data‐Poor Ethiopian Catchment

et al. 2017

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Selecting a suitable model for a water quality study depends on the objectives, the characteristics of the study area, and the availability, appropriateness, and quality of data. In areas where in-stream chemical and hydrological data are limited but where estimates of nutrient loads are needed to guide management, it is necessary to apply more generalized models that make few assumptions about underlying processes. This paper presents the selection and application of a model to estimate total nitrogen (TN) and total phosphorus (TP) loads in two semiarid and adjacent catchments exposed to pollution risk in north-central Ethiopia. Using specific criteria to assess model suitability resulted in the use of the Pollution Load (PLOAD) model. The model relies on estimates of nutrient loads from point sources such as industries and export coefficients of land use, and it is calibrated using measured TN and TP loads from the catchments. The performance of the calibrated PLOAD model was increased, reducing the sum of errors by 89 and 5% for the TN and TP loads, respectively. The results were validated using independent field data. Next, two scenarios were evaluated: (i) use of riparian buffer strips, and (ii) enhanced treatment of industrial effluents. The model estimated that combined use of the two scenarios could reduce TN and TP loads by nearly 50%. Our modeling is particularly useful for initial characterization of nutrient pollution in catchments. With careful calibration and validation, PLOAD model can serve an important role in planning industrial and agricultural development in data-poor areas.

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Section: Methodsmentioning

confidence: 99%

Estimating Total Nitrogen and Phosphorus Losses in a Data‐Poor Ethiopian Catchment

et al. 2017

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“…Multiple previous works have used the LOAD ESTimator (LOADEST) software package (U.S. Geological Survey, 2016b) to estimate metal and nutrient loads and concentrations in the study area over 5-10 year intervals (Clark, 2003;Donato, 2006;Wood and Beckwith, 2008;Clark and Mebane, 2014). The LOADEST model uses maximum likelihood regression to develop regression relationships between concentration, discharge, time, and season (Runkel and others, 2004).…”

Section: Approaches For Load Calculation and Trend Detectionmentioning

confidence: 99%

“…However, over 50 samples were collected in calendar years 1991-92 in CDR near Harrison, and multiple authors have used these samples to estimate loads previously. Woods and Beckwith (1997) estimated annual loads of 22 and 10 metric tons in calendar years 1991 and 1992, respectively, using FLUX; Wood and Beckwith (2008) later estimated 33.6 and 10.9 metric tons in calendar years 1991 and 1992, respectively, using LOADEST. Although the prior estimates vary from each other, both estimates are drastically lower than the WRTDS_K (55 metric tons) and WRTDS flow-normalized annual loads (61.7 metric tons) calculated here for WY 1999 .…”

Section: Nutrientsmentioning

confidence: 99%

Trends in concentration, loads, and sources of trace metals and nutrients in the Spokane River Watershed, northern Idaho, water years 1990–2018

Zinsser¹

2020

Scientific Investigations Report

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“…The highest concentrations of metals in the Lake sediments are near the outlet of the Coeur d'Alene River (River) in the central part of the Lake (Figure 1), and lesser concentrations are present in the southern and northern parts of the Lake [7]. Seasonal changes in environmental conditions at the sediment-water interface (SWI) can remobilize S and metals that may be transported into the Lake water column [10][11][12][13][14][15][16][17][18][19][20]. The Lake undergoes seasonal thermal stratification [20,21] that induces changes in reduction-oxidation (redox) conditions at the SWI [22,23] where redox-sensitive As, Fe, Mn, and associated S are concentrated at an oxic-anoxic interface in this seasonally euxinic environment [24].…”

Section: Introductionmentioning

confidence: 99%

Sulfur Species, Bonding Environment, and Metal Mobilization in Mining-Impacted Lake Sediments: Column Experiments Replicating Seasonal Anoxia and Deposition of Algal Detritus

et al. 2020

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The oxidation state of sulfur [S] is a primary control on mobility of metals in sediments impacted by legacy mining practices. Coeur d’Alene Lake of northern Idaho, USA, has been impacted by upstream legacy mining practices that deposited an estimated 75 Mt of metal(loid)- and S-rich sediments into the lake. Future lake conditions are expected to include algal blooms, which may alter S and metal remobilization during the seasonal euxinic environment. Cores of the lake sediments were exposed to anoxic and anoxic + algal detritus conditions for eight weeks at 4.5 °C through introduction of a N2 atmosphere and addition of algal detritus. At a location 2.5 cm below the sediment-water interface, anoxic conditions promoted a shift in S species to continually larger concentrations of reduced species and an associated shift in the bonding environment reflective of increased S–metal bonds. Anoxic + algal detritus conditions suppressed the increasing trend of reduced S species and induced greater release of Mn compared to the anoxic-only conditions but did not appear to enhance the release of As, Cd, or Fe. The addition of algal detritus to the sediment-water interface of these Fe- and S-rich sediments enhanced mobilization of Mn likely because of dissimilatory metal reduction where the anaerobic oxidation of the algal detritus stimulated Mn reduction. Results of the study indicate that future metal release from the lake sediments will be altered with the likely deposition of algal detritus, but the effect may not enhance the release of acutely toxic metals, such as As or Cd, or substantially impact Fe cycling in the sediments.

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Coeur d'Alene Lake, Idaho: Insights gained From limnological studies of 1991-92 and 2004-06

Cited by 5 publications

References 8 publications

Estimating Total Nitrogen and Phosphorus Losses in a Data‐Poor Ethiopian Catchment

Estimating Total Nitrogen and Phosphorus Losses in a Data‐Poor Ethiopian Catchment

Trends in concentration, loads, and sources of trace metals and nutrients in the Spokane River Watershed, northern Idaho, water years 1990–2018

Sulfur Species, Bonding Environment, and Metal Mobilization in Mining-Impacted Lake Sediments: Column Experiments Replicating Seasonal Anoxia and Deposition of Algal Detritus

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