Alan Mickelson
ABSTRACT
The use of water quality sensors for the prediction of the coupling of urban food, energy and water (FEW) subsystems is discussed. A high level model of FEW coupling is presented. The role of fine grained sensing in determination of system coupling is introduced. An archetypical water quality sensing element is demonstrated and calibrated. A physical model for an environmentally stressed water system is presented. Sensor calibration data is applied to the problem of using an array of a water quality sensors for determining system stressors and thereby FEW couplings. The requirements for resource management derived from smart city control system data and FEW system coupling is discussed.
- 1996. Water Quality Monitoring - A practical Guide to the Design and Implementation of Freshwater Quality Studies and Monitoring Programmes. (1996), 348 pages.Google Scholar
- Erhan Alparslan, Gonca Coskun, and Ugur Alganci. 2009,9. Water quality determination of Küçükçekmece Lake, Turkey by using multispectral satellite data. The Scientific World Journal (2009,9), 1215--29.Google Scholar
- Seongjoon Byeon, Gyewoon Choi, Seungjin Maeng, and Philippe Gourbesville. 2015. Sustainable Water Distribution Strategy with Smart Water Grid. Sustainability (Switzerland) 7,4 (2015), 4240 -- 4259.Google ScholarCross Ref
- J. V. Capella, a. Bonastre, R. Ors, and M. Peris. 2010. A Wireless Sensor Network approach for distributed in-line chemical analysis of water. Talanta 80,5 (2010), 1789--1798.Google ScholarCross Ref
- Ni-Bin Chang, Sanaz Imen, and Benjamin Hannah. 2015. Remote Sensing for Monitoring Surface Water Quality Statan15,us and Ecosystem State in Relation to the Nutrient Cycle: A 40-Year Perspective. Critical Reviews in Environmental Science and Technology 45 (2015), 101--166.Google ScholarCross Ref
- Ni-Bin Chang, Sanaz Imen, and Benjamin Vannah. 2014. Remote Sensing for Monitoring Surface Water Quality Status and Ecosystem State in Relation to the Nutrient Cycle: a 40-year Perspective. Critical Reviews in Environmental Science and Technology 3389, July 2015 (2014).Google Scholar
- Ni Bin Chang, Zhemin Xuan, and Brent Wimberly. 2012. Remote sensing spatiotemporal assessment of nitrogen concentrations in Tampa bay, Florida due to a drought. Terrestrial, Atmospheric and Oceanic Sciences 23, 5 (2012), 467--479.Google ScholarCross Ref
- Yirgalem Chebud, Ghinwa M. Naja, Rosanna G. Rivero, and Assefa M. Melesse. 2012. Water Quality Monitoring Using Remote Sensing and an Artificial Neural Network. Water, Air, & Soil Pollution 223,8 (2012), 4875--4887.Google ScholarCross Ref
- J. E. Cloern. 2001. Our evolving conceptual model of the coastal eutrophication problem. Marine Ecology Progress Series 210 (2001), 223--253.Google ScholarCross Ref
- Abel Rodriguez de la Conception, Riccardo Stefanelli, and Daniele Trinchero. October 10--13 2014. A Wireless Sensor Network Platform Optimized for Assisted Sustainable Agriculture. In Proceedings of the IEEE Global Humanitarian Technology Conference (GHTC 14). 159 -- 165.Google Scholar
- Ziqian Dong, Fang Li, Babak Beheshti, Alan Mickelson, Marta Panero, and Nada Anid. 2016. Autonomous Real-time Water Quality Sensing as an Alternative to Conventional Monitoring to Improve the Detection of Food, Energy and Water Indicators. Journal of Environmental Studies and Sciences 6 (2016), 200--207.Google ScholarCross Ref
- Angel Miguel Villegas Erazo, Seok Yee Tang, and Yi Qian. 2006. Wireless Sensor Network Communication Architecture for Wide-Area Large Scale Soil Moisture Estimation and Wetlands Monitoring. Walsip Research Project: Technical Report TR-NCIG-0501 (2006), 24.Google Scholar
- Etimad Fadel, V. C. Gungor, Laila Nassef, Nadine Akkari, M. G. Abbas Maik, Suleiman Almasri, and Ian F. Akyildiz. 2015. A Survey of Wireless Sensor Networks for Smart Grid. Computer Communications 71 (2015), 22--33. Google ScholarDigital Library
- John W. Finley and James N. Seiber. 2014. The nexus of food, energy, and water. Journal of Agricultural and Food Chemistry 62, 27 (2014), 6255--6262.Google ScholarCross Ref
- Peter Fox-Penner. 2014. Smart Power Anniversary Edition: Climate Change, The Smart Grid and the Future of Electric Utilities, Second Edition. Island Press.Google Scholar
- Jose Antonio Dominguez Gomez, Covadonga Alonso Alonso, and Ana Alonso Garcia. 2011. Remote sensing as a tool for monitoring water quality parameters for Mediterranean Lakes of European Union water framework directive (WFD) and as a system of surveillance of cyanobacterial harmful algae blooms (SCyanoHABs). Environmental Monitoring and Assessment 181, 1--4 (2011), 317--334.Google Scholar
- Helen P Jarvie, Andrew N Sharpley, Don Flaten, Peter J a Kleinman, Alan Jenkins, and Tarra Simmons. 2015. The Pivotal Role of Phosphorus in a Resilient Water-Energy-Food Security Nexus. Journal of Environmental Quality 44,4 (2015), 1049--1062.Google ScholarCross Ref
- Cary W. King and Michael Carbajales-Dale. 2016. Food-Energy-Water Metrics Across Scales: Project to System Level. Journal of Environmental Studies and Science 6 (2016), 39--49.Google ScholarCross Ref
- Victor Klemas. 2013. Remote sensing of emergent and submerged wetlands: an overview. International Journal of Remote Sensing 34,18 (2013), 6286--6320. Google ScholarDigital Library
- A. Kumar, M. O. Arshad, S. Mathavan, K. Kamal, and T. Vadamala. October 10--13 2014. Smart Irrigation Using Low-Cost Moisture Sensors and XBee-Based Communication. In Proceedings of the IEEE Global Humanitarian Technology Conference (GHTC 14). 333 -- 337.Google Scholar
- Mathew Kurian and Reza Ardakanian. 2015. Governing the nexus: Water, soil and waste resources considering global change. Governing the Nexus: Water, Soil and Waste Resources Considering Global Change (2015), 1--230. Google ScholarDigital Library
- Abdulazeez T. Las and Samuel B. Adeloju. 2013. Progress and recent advances in phosphate sensors: A review. Talanta 114 (2013), 191--203.Google ScholarCross Ref
- Eunhyoung Lee, Sanghoon Han, and Hyunook Kim. January, 2013. Development of software sensors for determining total phosphorus and total nitrogen in waters. International journal of environmental research and public health 10,1 (January, 2013), 219--36.Google Scholar
- Bruce E. Logan. 2015. Urgency at the Nexus of Food, Energy and Water Systems. Environmental Letters 2 (2015), 149--150.Google Scholar
- Alan Mickelson and Daniel Tsvankin. 2017 in press. Information Systems for Real-Time Water Quality Monitoring. In Encyclopedia of Sustainable Technology, Martin Abraham (Ed.). Elsevier.Google Scholar
- Alan Mickelson and Daniel Tsvankin. 2017 under review. Water Quality Monitoring for Coupled Food, Energy and Water (FEW) Systems. Environmental Progress and Sustainable Energy (2017 under review). Issue Special Issue on the FEW Nexus.Google Scholar
- Michele Mutchek and Eric Williams. 2014. Moving Towards Sustainable and Resilient Smart Water Grids. Challenges 5 (2014), 123 -- 137.Google ScholarCross Ref
- B. O'Flynn, Rafael Martinez-Catala, S. Harte, C. O'Mathuna, John Cleary, C. Slater, F. Reagan, D. Diamond, and Heather Murphy. 2007. Smart Coast: A Wireless Sensor Network for Water Quality Monitoring. In Proceedings of the 32nd IEEE Conference on Local Computer Networks. 815 -- 816. Google ScholarDigital Library
- B O'Flynn, F Regan, A Lawlor, J Wallace, J Torres, and C O'Mathuna. 2010. Experiences and recommendations in deploying a real-time, water quality monitoring system. Measurement Science and Technology 21, 12 (2010), 124004.Google ScholarCross Ref
- Christie Ritter, Mallory Cottingham, Jared Leventhal, and Alan Mickelson. 2014. Remote Delay Tolerant Water Quality Monitoring. In Proceedings of the 2014 Global Humanitarian Technology Conference. 462--468.Google Scholar
- Florina Ungureanu, Robert Gabriel Lupu, Andrei Stan, Ioan Craciun, and Carmen Teodosiu. 2010. Towards Real Time Monitoring of Water Quality in River Basins. Environmental Engineering and Management Journal 9, 9 (2010), 232430.Google ScholarCross Ref
- B. van de Kerkhof, M. can Persie, H. Noorbergen, L. Schouten, and R. Ghauharali. 2015. Spatio-temporal Analysis of Remote Sensing and Field Measurements for Smart Farming. Procedia Environmental Sciences 27 (2015), 21--25.Google ScholarCross Ref
- B. van de Kerkhof, M. van Persie, H. Noorbergen, L. Schouten, and R. Ghauharali. 2015. Spatio-temporal Analysis of Remote Sensing and Field Measurements for Smart Farming. Procedia Environmental Sciences 27 (2015), 21--25.Google ScholarCross Ref
- Christopher Warwick, Antonio Guerreiro, and Ana Soares. 2013. Sensing and analysis of soluble phosphates in environmental samples: A review. Biosensors and Bioelectronics 41,1 (2013), 1--11.Google ScholarCross Ref
- Chunfa Wu, Jiaping Wu, Jiaguo Qi, Lisu Zhang, Huiqing Huang, Liping Lou, and Yingxu Chen. 2010. Empirical estimation of total phosphorus concentration in the mainstream of the Qiantang River in China using Landsat TM data. International Journal of Remote Sensing 31 (2010), 2309--2324. Google ScholarDigital Library
- Sungwook Yoon and Hyenki Kim. 2014. Design and Implementation of Mobile Integration System for Smart Farming. International Journal of Multimedia and Ubiquitous Engineering 9(10) (2014), 223--230.Google Scholar
- Marco Zennaro. 2010. Wireless Sensor Networks for Development: Potentials and Open Issues. Ph.D. Dissertation. KTH, School of Information and Communication Technology (ICT).Google Scholar
- Marco Zennaro, Antoine Bagula, and Mayamiko Nkoloma. 2012. From Training to Projects: Wireless Sensor Networks in Africa. In Proceedings of the Global Humanitarian Technology Conference (GHTC) 2012. 417-- 422. Google ScholarDigital Library
- Marco Zennaro, Athanasios Floros, Gotham Dogan, Tao Sun, Zhichao Cao, Chen Huang, Manzoor Bahader, Herve Ntareme, and Antoine Bagula. September 22 -- 25, 2009. On the Design of a Water Quality Wireless Sensor Network (WQWSN): an Application in Water Quality Monitoring in Malawi. In Proceedings of the IEEE Conference on on Parallel Processing Workshops (ICPPW 09). 330 -- 336. Google ScholarDigital Library
- M. Zennaro, H. Ntareme, and A. Bagula. 2008. Experimental Evaluation of Temporal and Energy Characteristics of an Outdoor Sensor Network. In Mobility Conference 2008 - The International Conference of Mobile Technology, Applications and Systems. Google ScholarDigital Library
- Lihua Zheng, Minzan Li, Caicong Wu, Haijian Ye, Ronghua Ji, Xiaolei Deng, Yanshuang Che, Cheng Fu, and Wei Guo. 2011. Development of a Smart Mobile Farming Service. Mathematical and Computer Modelling 54, 3--4 (2011), 1194--1203. Google ScholarDigital Library
- Serge Zhuiykov. 2012. Solid-state sensors monitoring parameters of water quality for the next generation of wireless sensor networks. Sensors and Actuators, B: Chemical 161,1 (2012), 1--20.Google Scholar
- Huma Zia, Nick R. Harris, and Geoff Merrett. 2014. Water Quality Monitoring, Control and Management (WQMCM) Framework Using Collaborative Wireless Sensory Networks. In Proceedings of 11th International Conference on Hydroinfomatics (HIC 2014).Google Scholar
- Huma Zia, Nick R. Harris, Geoff V. Merrett, Mark Rivers, and Neil Coles. 2013. The impact of agricultural activities on water quality: A case for collaborative catchment-scale management using integrated wireless sensor networks. Computers and Electronics in Agriculture 96 (2013), 126--138. Google ScholarDigital Library
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