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Modelling nutrient transport in Currency Creek,NSW with AnnAGNPS and PEST
Affiliation:1. NSW EPA, Waters and Catchments Science Section, 59–61 Goulburn Street, Sydney, NSW 2000, Australia;2. University of Technology, Sydney, Australia;3. University of Western Sydney, Richmond, NSW, Australia;1. Sichuan Provincial Engineering Laboratory of Monitoring and Control for Soil Erosion on Dry Valleys, China West Normal University, Nanchong 637009, PR China;2. School of Land and Resources, China West Normal University, Nanchong 637009, PR China;3. Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu 610045, PR China;3. Department of Civil Engineering, Delhi Technological University, Delhi, India;1. GIS Technology Research Center of Resource and Environment in Western China, Ministry of Education, School of Information Science and Technology, Yunnan Normal University, Yunnan 650092, China;2. The Higher Educational Key Laboratory for Measuring & Control Technology and Instrumentations of Heilongjiang Province, School of Measurement-Control Tech & Communications Engineering, Harbin University of Science and Technology, Harbin 150080, China;1. Sapienza University of Rome, Department of Environmental Biology, P. le Aldo Moro, 5, 00185 Rome, Italy;2. Department of Science for Nature and Environmental Resources, University of Sassari, Sassari, Italy;3. Euro-Mediterranean Center on Climate Change (CMCC), Impacts on Agriculture, Forests and Natural Ecosystems (IAFES) Division, Sassari, Italy;1. Agricultural University of Athens, Department of Natural Resources and Agricultural Engineering, 75 Iera odos street, 11855, Athens, Greece;2. Ricreation IKE, Technological Park “Lefkippos”, Patriarchou Grigoriou & Neapoleos 27, 15341, Agia Paraskevi, Greece;1. Department of Agricultural and Biological Engineering, Mississippi State University, MS 39762, United States;2. Department of Forestry, Mississippi State University, Mississippi State University, MS 39762, United States
Abstract:The modelling package Annualized Agricultural Nonpoint Source Model (AnnAGNPS) was applied to the prediction of export of nitrogen and phosphorus from Currency Creek, a small experimental catchment within the Hawkesbury–Nepean drainage basin of the Sydney Region. The catchment is 255 ha in area and has experienced extensive soil erosion and losses of nutrients from intensive vegetable cultivation, irrigated dairy pasture and poultry farms. Simulations of nitrogen and phosphorus loads in the Currency Creek catchment were performed at various temporal scales and the degree of calibration was quantified by comparing the simulated data with the monitoring results. In addition, the model independent, nonlinear parameter estimation code PEST, was applied for sensitivity testing to determine and assess the relative importance of the key parameters of the model. Event flows were simulated satisfactorily with AnnAGNPS but only moderate accuracy was achieved for prediction of event-based nitrogen and phosphorus exports. The biggest deviations from the measured data were observed for daily simulations but trends in the generated nutrients matched observed data. Despite achieving good resemblance between measured and predicted phosphorus loads the model showed high level of sensitivity to assigned pH values for topsoil. Increase in pH by one unit resulted in up to 34% increase in model generated particulate phosphorus load.
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