Watershed and Data Management Platforms

Transcription

1 Southern Ontario Water Consortium Watershed and Data Management Platforms Latornell Conservation Symposium November 20, 2014 David Rudolph and Odum Idika Dept. of Earth and Environmental Sciences Southern Ontario Water Consortium University of Waterloo 1

2 Grand Challenge in Water Management Robust nature of water as a resource is rapidly declining. There is very little remaining head room. Storage depletion Reduced assimilation capacity Demand exceeding supply Impact of legacy contaminants Chronic impact on ecosystems 2

3 Complexity of Water Management Diverse stakeholders requiring wide range of information for decision making. Water management decisions require: integration of complex hydrologic data streams measurements made at the watershed scale advanced analytics 3

4 Tools for Water Management sensors and monitoring networks analytics for emerging contaminants numerical modeling platforms cumulative risks assessment governance and economic models sustainable land management practices data bases and data accessibility 4

5 Made in Ontario Initiatives Source Water Protection Program Assessment of threats to public water quantity and quality at watersheds scale province wide Remaining Challenges (pre Latornell Symposium, 2014) improved parameter estimation (e.g., ET, Recharge) model comparison and performance assessment sustainable land use alternatives (BMPs) enhanced and integrated data streams optimal data value near real time delivery data management and accessibility 5

6 A Platform for Innovation Establish a watershed scale research facility: 1. Provide field scale infrastructure for collaborative R&D. 2. Facilitate partnering and collaboration between key stakeholders: Industry Government NGOs (CAs) Academics 6

7 Watersheds Node SOWC Develop a network of instrumented Field Laboratories for monitoring and investigating integrated hydrologic processes at the watershed scale. 1. Integrated hydrologic and climatic monitoring networks. 2. Most current sensors/wireless communication technologies. 3. Flexible and versatile to stakeholder interests. 4. Efficient and user friendly data management. 5. Connect to advanced analytics and computational power. 6. Facilitate collaborative partnering and projects. 7

8 Watershed Facility Locations Individual Subwatersheds Research Facilities 1. Fully Urbanized Mimico Creek 4. Guelph Bedrock Facility 2. Rural/Agricultural Hopewell Creek 5. Borden GW Remediation 3. Urbanizing Alder Creek 8

9 1). Mimico Creek (97% Urban Cover) Monitoring: Flow Surface Water Quality Groundwater Levels/Quality Eddy Covariance MET Stations Wireless data communication Especially suitable for in stream testing of pollution control technologies, sensors, automation technologies, model calibration and validation.

10 2). Hopewell Creek (rural) 75 km 2 in largely agricultural, drains to the Grand River. 5 municipal wells, major recharge area Hydrologic/hydrometric infrastructure: Eddy covariance (H2O, CO2) MET stations Soil moisture and tension Well network Streamflow and stream chemistry

11 3). Alder Creek Watershed (urban and rural) (~80 Km 2 ) Instrumentation Groundwater monitoring network Soil moisture measurements Stream flow and water sampling MET Stations Wireless data transmission 120 sensors 15,000 measurements per day 5,500,000 measurements each year 11

12 Example Projects and Partners Solinst Canada: Watershed data collection and transmission ComDev: Satellite based data transfer Eramosa: Data stream management Matrix Solutions: Groundwater model assessment MOECC: phosphorous monitoring IBM: Data and advanced analytics 12

13 Example Projects and Partners Solinst Canada: Watershed data collection and transmission ComDev: Satellite based data transfer Eramosa: Data stream management Matrix Solutions: Groundwater model assessment MOECC: phosphorous monitoring IBM: Data and advanced analytics 13

14 Example #1 Integrated Hydrologic Monitoring Hydrologic Cycle is linked but data collection systems are not Groundwater Stations Met / Hydro Base station Unsaturated Surface Zone Stations Water Stations 14

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16 Integrated Watershed Monitoring 1. Collection of dense, integrated data streams at the watershed scale: Widely dispersed instrument network Real time communication/transmission 2. Optimize data collection with an event based triggering system that informs the hydrologic sensory networks. In field response to specified hydrologic events Data Logger Prototype 16

17 Triggers Precipitation Temperature Groundwater levels Base Station Stage 2 Transmission Data Management & Processing Stage 1 Data Collection Stage 3 GW Station GW /SW Station Unsat Zone Station Conant, 2006

18 Extreme Climatic Variability Summer Winter Spring Runoff 18

19 Example #2: Stream Water Quality During a Transient Hydrologic Event Sampling Frequency and Nutrient Loads Nitrate Turbidity 3hr, 15 min and 3 min intervals 19

20 Nitrate N (mg/l) Surface Water Nitrate Date and Time 3hrs

21 Nitrate N (mg/l) Surface Water Nitrate Date and Time 15min 3hrs

22 Nitrate N (mg/l) Surface Water Nitrate Date and Time 5min 15min 3hrs

23 Turbidity (FNU) Surface Water Turbidity Date and Time 3hrs

24 Turbidity (FNU) Surface Water Turbidity Date and Time 15min 3hrs

25 Turbidity (FNU) Surface Water Turbidity Date and Time 5min 15min 3hrs

26 Managing Dense Spatial and Temporal Data Streams Collection and wireless transmission of widely variable data formats Assembly and storage of cumulative data streams Accessibility and visual display Ingestion into advance analytics platform Seamless and User Friendly Data Management Platform sowcdata.ca 26