Reference number : GC-2017-Q1-01728, amendment number : , agreement type : G, recipient legal name : Rudra, Ramesh (University of Guelph), recipient country : CA, recipient province : nan, recipient city : Ontario, recipient postal code : nan, program name english : Discovery Grants Program - Individual, program name french : Programme de subventions à la découverte - individuelles, program purpose english : The long-term research goals have been to develop practical approaches for environmentally sustainable nonpoint source pollution control, including watershed based source water protection and nutrient management. Development of such approach; needed for food security, environmental sustainability, soil resilience for sustainable food production and for future capacity building; will provide means to assess the effect of water management practices on the health of the water bodies in a watershed. Development of such approach also requires better understanding and description of seasonal hydrology, its impact on stream flow pattern and the impact of adopted best management practice on nutrients loads. This research focuses on the quantification of the changes in the stream flow regimes due to climate change, development of a simple and easily useable approach for the application of best management practices, and the development of an innovative approach to evaluate the performance of structural and non-structural best management practices to control and improve stream water quality in unique Ontario seasonal climatic conditions,. This approach will lead to the development of tools for effective management of sediment and nutrient nonpoint source pollution due to agricultural land use activities.
 
 
The proposed goals will be achieved by (i) quantification of the effect of climate change on seasonal stream flow pattern, (ii) by development of an easily usable screening approach to identify the location of sediment and phosphorus sources for application of best management practices in a watershed, (iii) by development of working relationships to quantify the effects of seasonal hydrology, surface inlets, blind inlets, within watershed filter strips, road side ditches and variable field boundaries on the nutrients delivered to the stream and (iv) by development of an event based modelling approach to simulate the effect seasonal rainfall events on the performance of structural and non-structural best management practices adopted for nonpoint source pollution control. This research will provide a relatively simple tool to identify the location for the application of best management practices in agricultural watersheds and an approach to evaluate the performance of structural and non-structural adopted for nonpoint source pollution control in agricultural watersheds. Though the focus of this research has been the Ontario conditions, the results will be applicable to other regions of the country. The ultimate beneficiary will be society and humanity, who will be benefited from potential source water protection and water quality improvements., program purpose french : The long-term research goals have been to develop practical approaches for environmentally sustainable nonpoint source pollution control, including watershed based source water protection and nutrient management. Development of such approach; needed for food security, environmental sustainability, soil resilience for sustainable food production and for future capacity building; will provide means to assess the effect of water management practices on the health of the water bodies in a watershed. Development of such approach also requires better understanding and description of seasonal hydrology, its impact on stream flow pattern and the impact of adopted best management practice on nutrients loads. This research focuses on the quantification of the changes in the stream flow regimes due to climate change, development of a simple and easily useable approach for the application of best management practices, and the development of an innovative approach to evaluate the performance of structural and non-structural best management practices to control and improve stream water quality in unique Ontario seasonal climatic conditions,. This approach will lead to the development of tools for effective management of sediment and nutrient nonpoint source pollution due to agricultural land use activities.
 
 
The proposed goals will be achieved by (i) quantification of the effect of climate change on seasonal stream flow pattern, (ii) by development of an easily usable screening approach to identify the location of sediment and phosphorus sources for application of best management practices in a watershed, (iii) by development of working relationships to quantify the effects of seasonal hydrology, surface inlets, blind inlets, within watershed filter strips, road side ditches and variable field boundaries on the nutrients delivered to the stream and (iv) by development of an event based modelling approach to simulate the effect seasonal rainfall events on the performance of structural and non-structural best management practices adopted for nonpoint source pollution control. This research will provide a relatively simple tool to identify the location for the application of best management practices in agricultural watersheds and an approach to evaluate the performance of structural and non-structural adopted for nonpoint source pollution control in agricultural watersheds. Though the focus of this research has been the Ontario conditions, the results will be applicable to other regions of the country. The ultimate beneficiary will be society and humanity, who will be benefited from potential source water protection and water quality improvements., agreement title english : Mechanics and Modelling of Nonpoint Source Pollution, agreement title french : Mechanics and Modelling of Nonpoint Source Pollution, agreement number : RGPIN, agreement value : 21000.0, agreement start date : 2017-05-10, agreement end date : nan, description english : nan, description french : nan, expected results english : nan, expected results french : nan, additional information english : Grant or Award spanning more than one fiscal year. (2017-2018 to 2018-2019), additional information french : Subvention ou bourse octroyée s'appliquant à plus d'un exercice financier. (2017-2018 à 2018-2019), owner organization : nserc-crsng, owner organization title : Natural Sciences and Engineering Research Council of Canada | Conseil de recherches en sciences naturelles et en génie du Canada