2012
DOI: 10.1016/j.scitotenv.2012.06.072
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Impact of sampling frequency on mean concentrations and estimated loads of suspended sediment in a Norwegian river: Implications for water management

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Cited by 52 publications
(27 citation statements)
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“…TSM transports nutrients and contaminants, reduces light transmission through a water column and influences entire aquatic ecosystems [12]. Accurate spatiotemporal information on TSM distribution patterns is therefore important for understanding Lake Ecosystem dynamics and for the development of effective and quantitative monitoring of aquatic environments, in order to both protect the lake ecosystem and improve water quality management [13][14][15]. Station 8 recorded low TSM (11.93), and Station 10 recorded highest TSM (114.03).…”
Section: Dissolved Oxygen (Do)mentioning
confidence: 99%
“…TSM transports nutrients and contaminants, reduces light transmission through a water column and influences entire aquatic ecosystems [12]. Accurate spatiotemporal information on TSM distribution patterns is therefore important for understanding Lake Ecosystem dynamics and for the development of effective and quantitative monitoring of aquatic environments, in order to both protect the lake ecosystem and improve water quality management [13][14][15]. Station 8 recorded low TSM (11.93), and Station 10 recorded highest TSM (114.03).…”
Section: Dissolved Oxygen (Do)mentioning
confidence: 99%
“…Spectral bands for the Landsat sensors, whose SRF functions were obtained from USGS and used to simulate Landsat-based derived Rrs using in situ measured Rrs through Equation (4). In order to determine the best band or band combination, correlation analysis between in situ TSM measurements and simulated Landsat-based derived Rrs (calculated by Equation [4] and using the visible and NIR Band values) was carried out, and the linear, quadratic, cubic, power, and exponential models of TSM against a single band or their combinations were then calibrated, respectively, with the least-squares technique. The determination coefficient (R 2 ), MAPE and RMSE were employed to evaluate the derived model.…”
Section: Algorithm Development and Validation For Landsatmentioning
confidence: 99%
“…TSM transports nutrients and contaminants, reduces light transmission through a water column and influences entire aquatic ecosystems [1]. Accurate spatiotemporal information on TSM distribution patterns is therefore important for understanding lake ecosystem dynamics and for the development of effective and quantitative monitoring of aquatic environments, in order to both protect the lake ecosystem and improve water quality management [2][3][4].…”
Section: Introductionmentioning
confidence: 99%
“…Braskerud, 2001;Thomas and Lewis, 1995), whilst surrogate technologies may generate meaningful high-resolution datasets (Collins et al, 2011;Owen et al, 2012). However, the application of such technology across catchments is currently unfeasible, or restricted, due to authorities seeking to reduce the cost of non-essential monitoring where possible (Skarbøvik et al, 2012). Whilst this is cause for concern, it does present an important opportunity to develop and test low-cost tools and technologies that are capable of capturing suspended sediment data at an appropriate scale for detecting changes in fine sediment dynamics, and at a resolution sufficient to inform specific catchment management strategies.…”
Section: Introductionmentioning
confidence: 99%