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Nasim Hosseini Kwok Pan Chun Howard Wheater Karl-Erich Lindenschmidt 《Environmental Modeling and Assessment》2017,22(4):291-307
Little is known about seasonal differences (ice-on vs. ice-off periods) and the sensitivity of in-stream processes to surface water quality constituents in rivers that have a persistent ice cover in winter. The goal of this study is to investigate the sensitivity of nutrient transformation processes on surface water quality, especially rivers in cold regions where ice-covered conditions persist for a substantial part of the year. We established a sensitivity analysis framework for water quality modelling and monitoring of rivers in cold regions using the Water Quality Analysis Program WASP7. The lower South Saskatchewan River in the interior of western Canada, from the Gardiner Dam at Lake Diefenbaker to the confluence of the North and South Saskatchewan rivers, is used as a test case for this purpose. The study reveals that parameter sensitivities differ between ice-covered and ice-free periods and biological model parameters related to nutrient-phytoplankton dynamics can still be sensitive during the ice-covered season. For example, sediment oxygen demand is an important parameter during the ice-on period, whereas parameters related to nitrification are more sensitive in the ice-off period. These results provide insight into important water quality monitoring aspects in cold regions during different seasons. 相似文献
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Monitoring, assessment and modelling using water quality data in the Saale River Basin, Germany 总被引:1,自引:0,他引:1
Bongartz K Steele TD Baborowski M Lindenschmidt KE 《Environmental monitoring and assessment》2007,135(1-3):227-240
The European Water Framework Directive (WFD) is the overall driver for this environmental study and currently requires the
identification of patterns and sources of pollution (monitoring) to support objective ecological sound decision making and
specific measures to enhance river water quality (modelling). The purpose of this paper is to demonstrate in a case study
the interrelationship between (1) hydrologic and water quality monitoring data for river basin characterization and (2) modelling
applications to assess resources management alternatives. The study deals with monitoring assessment and modelling of river
water quality data of the main stem Saale River and its principal tributaries. For a period of 6 years the data, which was
sampled by Environmental Agencies of the German states of Thuringia, Saxony and Saxony-Anhalt, was investigated to assess
sources and indicators of pollution. In addition to the assessment a modelling exercise of the routing of different pollutants
was carried out in the lower part of the test basin. The modelling is a tool to facilitate the evaluation of alternative measures
to reduce contaminant loadings and improve ecological status of a water body as required by WFD. The transport of suspended
solids, salts and heavy metals was modelled along a selected Saale reach under strong anthropogenic influence in terms of
contaminants and river morphology between the city of Halle and the confluence with the Elbe River. The simulations were carried
out with the model WASP5 which is a dynamic flood-routing and water quality model package developed by the US Environmental
Protection Agency. 相似文献
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