Arturo Sanchez-Azofeifa_Challenges and opportunities in the implementation of wireless sensor networks for environmental monitoring: carbon fluxes at the Victorian Dry Eucalypt Supersite

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1. Challenges and opportunities in the implementationof wireless sensor networks for environmentalmonitoringDr. Arturo Sánchez-Azofeifa, P.Eng., SM IEEEEarth and…
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  • 1. Challenges and opportunities in the implementationof wireless sensor networks for environmentalmonitoringDr. Arturo Sánchez-Azofeifa, P.Eng., SM IEEEEarth and Atmospheric Science DepartmentUniversity of Alberta, Edmonton, Alberta,
  • 2. Are we facing a change in our environmental monitoring paradigm?1. The science of environmental monitoring is evolving as well as the technology that supports it. • How do we conduct new synthesis?2. Environmental monitoring science is facing a disproportioned increase on data availability. • How do we manage, analyze and visualize TBs of information?3. The way that we communicate and divulge environmental monitoring data is also changing. • How do we accurate communicate environmental trends using clear language?
  • 3. Evolution of Science Paradigms1st Paradigm  Thousand years ago: • Science was empirical and aimed to describe natural phenomena.2nd Paradigm  Last few hundred years: • 2 . The theoretical branch of a 4 G c2 using models, generalizations a 3 a23rd Paradigm Last few decades: • A computational branch paradigm emerged aimed at simulating complex phenomena4th Paradigm Today: • Data exploration (eScience): unify theory of experiment, and simulation, taking into consideration that: – Data captured by instruments or generated by simulator – Processed by software – Information/Knowledge stored in computer – Scientist analyzes database / files using data management and statistics
  • 4. Wireless Sensor Networks (WSNs) Great potential and numerous advantages over wired ecosystem monitoring and part of the 4th Paradigm of Science
  • 5. Interdisciplinary Nature of WSN research and development• Sensor design and field testing: hardware and software integration.• Sensor power management: power optimization and harvesting.• Network architecture design: optimal area coverage and architecture design of network topology• Advance cyber- infrastructure: intelligent data query and analyses.• Integration into Environmental monitoring programs: ground and remote sensing. From node - to site - to decision making.
  • 6. WSN Design and Field Testing Modification of WSNs For specific environmental applications Land, Water, Life, and Air applications
  • 7. Australia’s field testing site:Whroo, VIC. TERN Supersite
  • 8. Sensor Power Management1. Remote monitoring systems have to operate within a limited energy budget2. Need to manage the available resources • Collect available energy (energy harvesting) • Store excess energy (batteries) • Be efficient (avoid energy waste)3. Power management • Extend life • Reduce maintenance
  • 9. Network Architecture Design and Network Spatial Topologies
  • 10. Advanced Cyber- Infrastructure1. Upload your field data 3. Visualize and analyze your data 2. Data query (QC) 4. Retrieve selected data
  • 11. PHOTOSYNTHETICALLY ACTIVE RADIATION (PAR uE) 0 500 1000 1500 2000 2500 3000 6:47 7:18 7:49 8:20 8:52 9:23 9:54 10:25 10:57 11:28 11:59 12:30 13:01 13:32 14:03 14:34 15:05 15:36 16:07 16:38 17:09 17:40 18:11 18:42 19:13 Quantification of Spatial Variability of Micro-IN P9 P8 P7 P6 P5 P4 P3 P2 P1REF P12 P11 P10 Meteorological Variables at High Temporal RatesTOWTOW
  • 12. Optimal VPD from 7-12 hPa Daytime VPD > 10 at Whroo Super Site July-Sept 2% Sept-Nov Nov-Feb 74%
  • 13. Baseline Definition & Long TermMonitoring: Ecosystem Succession Metrics New approaches for data exploration and trend detection are necessary given the large size of emerging datasets: Machine Learning, Probabilistic distribution analysis, non-parametric statistics…
  • 14. Baseline Definition & Long Term Monitoring: Ecosystem Succession Metrics Surface albedo • Changes on micro- meteorological variables as a result of ecological succession. • Responses to Ecological Restoration Relative Humidity • Key tool to monitor changes on the restoration of Oil sands.
  • 15. Derived information: Event Detection (Brazil) Normal Productivity Insect attack Storm event Optical sensor network captures anomalous events in detail
  • 16. Challenges on the development of WSNs1. Remote outdoor durability2. Component miniaturization • Integration of Nanotechnology3. Improved communication and coverage4. Sub-second sampling and sampling on demand; • Specialized software for event detection5. Enhanced memory capacity6. Advanced cyber-infrastructure --> cloud computing data management • Data analytics approaches for data analysis in real time.
  • 17. Nano Materials for water Temperature & pH Courtesy of Dr. Mike Serpe, Chemistry Department, UAlberta.
  • 18. Thank You!
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