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首页> 外文期刊>Canadian water resources journal >Modeling of the thermal regime of rivers subject to seasonal ice cover using data from different sources and temporal resolutions
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Modeling of the thermal regime of rivers subject to seasonal ice cover using data from different sources and temporal resolutions

机译:Modeling of the thermal regime of rivers subject to seasonal ice cover using data from different sources and temporal resolutions

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摘要

A comprehensive picture of the spatial and temporal patterns of river thermal regimes requires temperaturerecorded over continuous long time series and across various environments. Unfortunately,these data are generally scarce in extended areas. In Canada, the first attempt to a general large-scalecharacterization of river thermal regimes was done using a standardized three-parameter Gaussianfunction and continuous temperature records collected in 158 Qu ebec rivers. This model provided estimatesof the river temperature annual maximum, the date of the annual maximum occurrence andthe duration of the warm season, with confidence intervals linked to the duration of the available timeseries. This resulting thermal map was however limited spatially by the geographical location of themonitoring stations, restricted to the eastern portion of the province. It was also based on relativelyshort and recent temperature series, with most records shorter than five years and starting after 2010.In thiswork,we expanded both the space and time spans of the Qu ebec rivers thermal map by addingnew temperature data sources, namely satellite thermal data and spot measurements. Satellite dataprovided thermal information in remote northern regions where in situ data acquisition is difficult,from early 1980s until today. Spot measurements from the Banque de donn ees sur la qualit e desmilieux aquatiques allowed to add nearly 250 rivers to the Qu ebec thermal regimes characterization,with several stations operating since 1979. These three data sources were combined to characterizeQu ebec rivers thermal regimes in more than 400 rivers and streams, over an extended geographicaldistribution. Uncertainty brought by the coarser temporal resolution of the spot and combined timeseries was assessed and found to result in substantially larger confidence intervals on the estimatedmodel parameters, as compared with the confidence intervals obtained when using continuous timeseries of similar length.

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