Dynamic water quality modelling and uncertainty analysis of phytoplankton and nutrient cycles for the upper South Saskatchewan River
详细信息 查看全文
- 作者：Eric Akomeah ; Kwok Pan Chun…
- 关键词：Water quality modelling ; Calibration ; Local sensitivity analysis ; South Saskatchewan River ; WASP
- 刊名：Environmental Science and Pollution Research
- 出版年：2015
- 出版时间：November 2015
- 年：2015
- 卷：22
- 期：22
- 页码：18239-18251
- 全文大小：1,274 KB
- 参考文献：Ambrose RB (1992) Technical guidance manual for performing waste load allocations, book III: estuaries, Part 4: critical review of coastal embayment and estuarine waste load allocation modeling. USEPA, Office of Water, Washington, pp 10-8
Ambrose RB, Wool TA (2009) WASP7 stream transport - model theory and user's guide. U.S. Environmental Protection Agency, Athens, GA. http://?nepis.?epa.?gov/?Adobe/?PDF/?P1005O7C.?PDF
Ambrose RB, Wool TA, Martin JL (1993) The water quality simulation program, WASP5: model theory, user’s manual, and programmer’s guide. U.S. Environmental Protection Agency, Athens, GA. http://?sdi.?odu.?edu/?mbin/?wasp/?dos/?wasp5_?model.?pdf
Babin J, Trew DO (1985) The impact of the proposed Sand River reservoir on winter dissolved oxygen levels in the Beaver and Sand rivers. Pollution Control Div., Water Quality Control Branch, Alberta Environment, Edmonton
Bierman VJ, Dolan DM (1986) Modeling of phytoplankton in Saginaw Bay—calibration phase. J Environ Eng 112(2):400-03CrossRef
Burke A (2013) Water quality in the South Saskatchewan River basin. South Saskatchewan River WatershedStewards.http://?southsaskriverst?ewards.?ca/?water-quality-assessment.?html . Accessed 27 June 2014
Byrne J, Kienzle S, Johnson D, Duke G, Gannon V, Selinger B, Thomas J (2006) Current and future water issues in the Oldman river basin of Alberta, Canada. Water Sci Technol 53(10):327-34CrossRef
Carr M, Lacho C, Pollock M, Watkinson D, Lindenschmidt K-E (2014) A first tier desktop approach for identifying lake sturgeon (Acipenser fulvescens) habitat in the Saskatchewan River System. River Systems: 1-4. doi: 10.-127/-868-5749/-014/-086
Casey A (2010) The drying South Saskatchewan River. Can Geogr. http://?www.?canadiangeograph?ic.?ca/?magazine/?oct10/?south_?saskatchewan_?river.?asp
Chapra SC (1997) Surface water-quality modeling. McGraw Hill Companies, Inc
Chen C-H, Lung W-S, Li S-W, Lin C-F (2011) Technical challenges with BOD/DO modeling of rivers in Taiwan. J Hydro Environ Res 6(1):3-. doi:10.-016/?j.?jher.-011.-8.-01 , March 2012CrossRef
Chen Q, Wu W, Blanckaert K, Ma J, Huang G (2012) Optimization of water quality monitoring network in a large river by combining measurements, a numerical model and matter-element analyses. J Environ Manag 110(2012):116e124. doi:10.-016/?j.?jenvman.-012.-5.-24
Darbellay GA, Wuertz D (2000) The entropy as a tool for analysing statistical dependences in financial time series. Phys A 87:429-39CrossRef
Diduck S (1989) South Saskatchewan River water quality modeling. technical report D.10. Canada-Saskatchewan South River basin study. Water Quality Branch, Saskatchewan Environment and Public Safety, Regina, Saskatchewan
EPA (1997) Technical guidance manual for performing wasteload allocations, book II: streams and rivers. EPA#: 823/B-97-002
EPA (2013) Model set-up and calibration for Mckay Bay. U.S. Environmental Protection Agency
Kelso JRM, MacCrimmon HR (1969) Diel and seasonal variations in physiochemical limnology, Speed River, Ontario. Water Resour Res 5(6):1388-394CrossRef
Koning CW, Saffran KA, Little JL, Fent L (2006) Water quality monitoring: the basis for watershed management in the Oldman River basin, Canada. Water Sci Technol 53(10):153-61CrossRef
Kwak J, Khang B, Kim E, Kim H (2013) Estimation of biochemical oxygen demand based on dissolved organic carbon, UV absorption and fluorescence measurements. J Chem 2013:1-CrossRef
Lindenschmidt K-E, Chun KP (2014) Geospatial modelling to determine the behaviour of ice cover formation during freeze-up of the Dauphin River in Manitoba. Hydrol Res 45(4-):645-59CrossRef
Lindenschmidt K-E, Pech I, Baborowski M (2009) Environmental risk of dissolved oxygen depletion of diverted flood waters in river polder systems—a quasi-2D flood modelling approach. Sci Total Environ 407(5):1598-612CrossRef
MacKay DJC (2003) Information theory, inference, and learning algorithms. Cambridge University Press, Cambridge. ISBN 0-521-64298-1
Martin N, McEachern P, Yu T, Zhu DZ (2012) Model development for prediction and mitigation of dissolved oxygen sags in the Athabasca River, Canada. Sci Total Environ 443:403-12. doi:10.-016/?j.?scitotenv.-012.-0.-30 CrossRef
McConkey S, Bartosova A, Lin L-S, Andrew A, Machesky M, Jennings C (2004) Fox river watershed investigation -Stratton dam to the Illinois river: water quality issues and data report to the Fox River Study Group Inc., Illinois State Water Survey, contract 2004-06. http://?www.?sws.?uiuc.?edu/?pubdoc/?cr/?iswscr2004-06.?pdf
McDonals D, Muricken D (2009) North Saskatchewan River water quality model: Alberta Environment Technical Report. Water Policy Branch, Alberta Environment
Morales-Marin L, Wheater H, Lindenschmidt K-E (2015) Assessing the transport of total phosphorus from a prairie river basin using SPARROW. http://?onlinelibrary.?wiley.?com/?doi/-0.-002/?hyp.-0555/?asbstract - 作者单位：Eric Akomeah (1)
Kwok Pan Chun (1) (2)
Karl-Erich Lindenschmidt (1)
1. Global Institute for Water Security, University of Saskatchewan, 11 Innovation Boulevard, Saskatoon, Saskatchewan, S7N 3H5, Canada
2. Department of Geography, Hong Kong Baptist University, Kowloon, Hong Kong - 刊物类别：Earth and Environmental Science
- 刊物主题：Environment
Environment
Atmospheric Protection, Air Quality Control and Air Pollution
Waste Water Technology, Water Pollution Control, Water Management and Aquatic Pollution
Industrial Pollution Prevention - 出版者：Springer Berlin / Heidelberg
- ISSN：1614-7499
文摘
The surface water quality of the upper South Saskatchewan River was modelled using Water Quality Analysis Simulation Program (WASP) 7.52. Model calibration and validation were based on samples taken from four long-term water quality stations during the period 2007-009. Parametric sensitivities in winter and summer were examined using root mean square error (RMSE) and relative entropy. The calibration and validation results show good agreement between model prediction and observed data. The two sensitivity methods confirmed pronounced parametric sensitivity to model state variables in summer compared to winter. Of the 24 parameters examined, dissolved oxygen (DO) and ammonia (NH3-N) are the most influenced variables in summer. Instream kinetic processes including nitrification, nutrient uptake by algae and algae respiration induce a higher sensitivity on DO in summer than in winter. Moreover, in summer, soluble reactive phosphorus (SRP) and chlorophyll-a (Chla) variables are more sensitive to algal processes (nutrient uptake and algae death). In winter however, there exists some degree of sensitivity of algal processes (algae respiration and nutrient uptake) to DO and NH3-N. Results of this study provide information on the state of the river water quality which impacts Lake Diefenbaker and the need for additional continuous monitoring in the river. The results of the sensitivity analysis also provide guidance on most sensitive parameters and kinetic processes that affect eutrophication for preliminary surface water quality modelling studies in cold regions. Keywords Water quality modelling Calibration Local sensitivity analysis South Saskatchewan River WASP