D1.1 Technology survey: Prospective and challenges - Revised version (2018)
10 References
“ICT for Water” Roadmap (2014 and 2015): https://ec.europa.eu/digital- agenda/en/news/ict-water-resources-management-experts-consultation- 4022014, http://ec.europa.eu/newsroom/dae/document.cfm?doc_id=9672
Othman, Mazliza, Sajjad Ahmad Madani, and Samee Ullah Khan. "A survey of mobile cloud computing application models." IEEE Communications Surveys & Tutorials 16, no. 1 (2014): 393-413.
Abernethy, R. B., R. P. Benedict, and R. B. Dowdell. "ASME measurement uncertainty." Journal of Fluids Engineering 107, no. 2 (1985): 161-164.
Abudu, Shalamu, J. Phillip King, and A. Salim Bawazir. "Forecasting monthly streamflow of Spring-Summer runoff season in rio grande headwaters basin using stochastic hybrid modeling approach." Journal of Hydrologic Engineering 16, no. 4 (2010): 384-390.
Standard, A. I. A. A. Assessment of wind tunnel data uncertainty. AIAA S-071-1995, Washington DC, 1995.
Allen, James F., and George Ferguson. "Actions and events in interval temporal logic." In Spatial and temporal Reasoning, pp. 205-245. Springer Netherlands, 1997.
Anicic, Darko, Paul Fodor, Nenad Stojanovic, and Roland Stühmer. "Computing complex events in an event-driven and logic-based approach." In Proceedings of the Third ACM International Conference on Distributed Event-Based Systems, p. 36. ACM, 2009.
Assumpção, Thaine H., et al. "Citizen observations contributing to flood modelling: opportunities and challenges." Hydrology and Earth System Sciences 22.2 (2018): 1473-1489.
Bean, Howard Stewart, ed. Fluid meters: Their theory and application. Vol. 2. American Society of Mechanical Engineers, 1971.
Chiu, Bill, Eamonn Keogh, and Stefano Lonardi. "Probabilistic discovery of time series motifs." In Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining, pp. 493-498. ACM, 2003.
Ballweber, Jeffery A. "A comparison of IWRM frameworks: the United States and South Africa." Journal of Contemporary Water Research & Education 135, no. 1 (2006): 74-79.
Berk, Richard A. Regression analysis: A constructive critique. Vol. 11. Sage, 2004.
Blass, W. E., and P. B. Crilly. "An introduction to neural networks based on the feed forward, backpropagation error correction network with weight space limiting based on a priori knowledge." In Instrumentation and Measurement Technology Conference, 1992. IMTC'92., 9th IEEE, pp. 631-634. IEEE, 1992.
Buishand, T. Adri, and Theo Brandsma. "Multisite simulation of daily precipitation and temperature in the Rhine basin by nearest‐neighbor resampling." Water Resources Research 37, no. 11 (2001): 2761-2776.
Li, Cheng, Daniel Porto, Allen Clement, Johannes Gehrke, Nuno Preguiça, and Rodrigo Rodrigues. "Making geo-replicated systems fast as possible, consistent when necessary." In Presented as part of the 10th USENIX Symposium on Operating Systems Design and Implementation (OSDI 12), pp. 265-278. 2012.
Mayfield, Chris, Jennifer Neville, and Sunil Prabhakar. "ERACER: a database approach for statistical inference and data cleaning." In Proceedings of the 2010 ACM SIGMOD International Conference on Management of data, pp. 75-86. ACM, 2010.
Matos, Rafaela, Adriana Cardoso, P. Duarte, R. Ashley, Alejo Molinari, and Andreas Schulz. "Performance indicators for wastewater services-towards a manual of best practice." Water science and technology: water supply 3, no. 1-2 (2003): 365-371.
Lakshman, Avinash, and Prashant Malik. "Cassandra: a decentralized structured storage system." ACM SIGOPS Operating Systems Review 44, no. 2 (2010): 35-40.
Chakravarthy, Sharma, and Raman Adaikkalavan. "Ubiquitous nature of event-driven approaches: a retrospective view." In Dagstuhl Seminar Proceedings. Schloss Dagstuhl-Leibniz-Zentrum für Informatik, 2007.
Chakravarthy, Sharma, Vidhya Krishnaprasad, Eman Anwar, and Seung-Kyum Kim. "Composite events for active databases: Semantics, contexts and detection." In VLDB, vol. 94, pp. 606-617. 1994.
Chandrasekaran, Sirish, and Michael J. Franklin. "Streaming queries over streaming data." In Proceedings of the 28th international conference on Very Large Data Bases, pp. 203-214. VLDB Endowment, 2002.
Zhang, Changkuan, and Hongwu Tang. Advances in Water Resources & Hydraulic Engineering: Proceedings of 16th IAHR-APD Congress and 3rd Symposium of IAHR-ISHS. Springer Science & Business Media, 2010.
Chattopadhyay, Surajit, and Goutami Chattopadhyay. "Univariate modelling of summer-monsoon rainfall time series: comparison between ARIMA and ARNN." Comptes Rendus Geoscience 342, no. 2 (2010): 100-107.
Chen, S. M., Y. M. Wang, and I. Tsou. "Using artificial neural network approach for modelling rainfall–runoff due to typhoon." Journal of Earth System Science 122, no. 2 (2013): 399-405.
Coleman, Hugh W., and W. Glenn Steele. Experimentation, validation, and uncertainty analysis for engineers. John Wiley & Sons, 2009.
Damle, Chaitanya, and Ali Yalcin. "Flood prediction using time series data mining." Journal of Hydrology 333, no. 2 (2007): 305-316.
Peng, Daniel, and Frank Dabek. "Large-scale Incremental Processing Using Distributed Transactions and Notifications." In OSDI, vol. 10, pp. 1-15. 2010.
Dasgupta, Sourish, Satish Bhat, and Yugyung Lee. "Event Semantics for Service Composition in Pervasive Computing." In AAAI Spring Symposium: Intelligent Event Processing, pp. 27-34. 2009.
Diamantopoulos (2008) - Diamantopoulos A., Riefler P., Roth, K.P., 2008. Advancing formative
Dinh, Hoang T., Chonho Lee, Dusit Niyato, and Ping Wang. "A survey of mobile cloud computing: architecture, applications, and approaches." Wireless communications and mobile computing 13, no. 18 (2013): 1587-1611.
Dionysios Logothetis, Chris Trezzo, Kevin C. Webb, and Kenneth Yocum. In-situ MapReduce for log processing. In USENIX ATC, 2011.
Elnahrawy and B. Nath. Cleaning and querying noisy sensors. In WSNA, pages 78–87, 2003
EIP on Smart Cities and Communities: http://ec.europa.eu/eip/smartcities/
EIP on Water: http://www.eip-water.eu/
Engle, Cliff, Antonio Lupher, Reynold Xin, Matei Zaharia, Michael J. Franklin, Scott Shenker, and Ion Stoica. "Shark: fast data analysis using coarse-grained distributed memory." In Proceedings of the 2012 ACM SIGMOD International Conference on Management of Data, pp. 689-692. ACM, 2012.
Chu, Y. Wang, S. Parker, and C. Zaniolo. Data cleaning using belief propagation. In IQIS, pages 99–104, 2005.
Fread, D.L., (1975). “Computation of Stage-Discharge Relation-ships Affected by Unsteady Flow”. Water Resources Bulleting, 11(2), 213-228
French N (1992) - French, M. N., Krajewski, W. F., and Cuykendal, R. R. (1992). “Rainfall forecasting in space and time using a neural network. ‘‘ J. Hydrol., Amsterdam, 137, 1–37.
DeCandia, D. Hastorun, M. Jampani, G. Kakulapati, A. Lakshman, A. Pilchin, S. Sivasubramanian, P. Vosshall, and W. Vogels, “Dynamo: amazon’s highly available key-value store,” in Proceedings of twenty- first ACM SIGOPS symposium on Operating systems principles, ser. SOSP ’07. New York, NY, USA: ACM, 2007, pp. 205–220.
Ghorbani (2010) - Ghorbani, M.A., Khatibi, R., Aytek, A., Makarynskyy, O. and Shiri, J., 2010. Sea water level forecasting using genetic programming and comparing the performance with artificial neural networks. Computers & Geosciences, 36(5), pp.620-627.
Global Risk (2015) - World Economic Forum, “The Global Risks Report 2015”, http://reports.weforum.org/global-risks-2015/part-1-global-risks-2015/environment-high-concern-little-progress/
Goyal (2010) - Goyal, M.K. and Ojha, C.S.P., 2010. Analysis of mean monthly rainfall runoff data of Indian catchments using dimensionless variables by neural network. Journal of Environmental Protection, 1(02), p.155.
Granell, Carlos, Laura Díaz, and Michael Gould. "Service-oriented applications for environmental models: Reusable geospatial services." Environmental Modelling & Software 25, no. 2 (2010): 182-198.
GUM (1993). “Guide to the Expression of Uncertainty in Measurement”, ISBN 92-67-10188-9, BIPM, IEC, IFCC, ISO, IUPAC, IUPAP, OIML, International Organization for Standardization, Geneva, Switzerland.
GWP (2004). Catalyzing change: A handbook for developing integrated water resources management (IWRM) and water efficiency strategies. Global Water Partnership, Elanders, Svensk Information, Stockholm, Sweden. Available at http://www.unwater.org/downloads/Catalyzing_change-final.pdf (accessed on 21 January 2013).
H.-E. Chihoub, S. Ibrahim, G. Antoniu, and M. S. Pe ́rez-Herna ́ndez, “Harmony: Towards automated self-adaptive consistency in cloud storage,” in 2012 IEEE International Conference on Cluster Com- puting (CLUSTER’12), Beijing, China, 2012, pp. 293–301.
Herlihy, Daniel R., Bruce F. Hillard, and Timothy D. Rulon. "National Oceanic and Atmospheric Administration Sea Beam System 'Patch Test'." The International Hydrographic Review 66, no. 2 (2015).
Huayong Wang, Li-Shiuan Peh, Emmanouil Koukoumidis, Shao Tao, and Mun Choon Chan. Meteor shower: A reliable stream processing system for commodity data centers. In IPDPS ’12, 2012.
Huiqun (2008) - Huiqun, M. and Ling, L., 2008, December. Water quality assessment using artificial neural network. In 2008 International Conference on Computer Science and Software Engineering (pp. 13-15). IEEE.
IDNR, Proposals for the creation of watershed management authorities, Iowa Department of Natural Resources, Des Moines, Iowa.
INSPIRE Directive: http://inspire.ec.europa.eu/
ISO (1967). ISO/R541 “Measurement of Fluid Flow by Means of Orifice Plates and Nozzles”, International Organization for Standardization, Geneva, Switzerland.
ISO (1997). ISO/TR 8363 “Measurement of Liquid Flow in Open Channels – General Guidelines for Selection of Method”, International Organization for Standardization, Geneva, Switzerland.
Chakrabarti, E. Keogh, S. Mehotra, and M. Pazzani. Localy adaptive dimensionality reduction for indexing large time series databases. TODS, 27(2), 2002.
K.W. Chau (2007) - Chau, Kwok-Wing. "An ontology-based knowledge management system for flow and water quality modelingmodelling." Advances in Engineering Software, Vol. 38, No. 3, pp. 172-181, 2007
Karnouskos, Stamatis, and Armando Walter Colombo. "Architecting the next generation of service-based SCADA/DCS system of systems." IECON 2011-37th Annual Conference on IEEE Industrial Electronics Society. IEEE, 2011.
Kastner, K., Hoitink, A.J.F., Vermeulen, B., Hydayat, Sassi, M.G., Pramulya, and Ningsih, N.S. (2015). “Comparison of discharge estimates from a rating curve and ADCP measure-ments”, Proceedings 36th IAHR World Congress, 28 June-3 July, 2015, The Hague, the Netherlands.
Krutov, Ilya, Gereon Vey, and Martin Bachmaier. In-memory Computing with SAP HANA on IBM eX5 Systems. IBM Redbooks, 2014.
Le Coz J. (2014). “A literature review of methods for estimating uncertainty associated with stage-discharge relations”, Progress Report for the Word Meteorological Organization project “Assessment of the Performance of Flow Measurement Instrumentation and Techniques” January 14, 2014
Le Coz, J., Blanquart, B., Pobanz, K., Dramais, G., Pierrefeu, G., Hauet, A. and Despax, A. (2015). “Estimating the uncertainty of streamgauging techniques using field interlaboratory experiments,” J. Hydraulic Engineering, under review.
Lee, K. N. (1993). Compass and gyroscope: Integrating science and politics for the environment. Washington, DC: Island Press.
Levesque, V.A., and K.A. Oberg (2012), Computing discharge using the index velocity method. U.S. Geological Survey Techniques and Methods, 3–A23, 148. available online at http://pubs.usgs.gov/tm/3a23.
Lowry, C. S. and Fienen, M. N.: CrowdHydrology: crowdsourcing hydrologic data and engaging citizen scientists, Ground Water, 51, 151–156, https://doi.org/10.1111/j.1745-6584.2012.00956.x, 2013.
Zaharia, “An Architecture for Fast and General Data Processing on Large Clusters,” p. 128, 2014.
Zaharia, M. Chowdhury, T. Das, and A. Dave, “Resilient distributed datasets: A fault-tolerant abstraction for in-memory cluster computing,” NSDI’12 Proc. 9th USENIX Conf. Networked Syst. Des. Implement., pp. 2–2, 2012.
Zaharia, T. Das, H. Li, T. Hunter, S. Shenker, and I. Stoica, “Discretized streams: fault-tolerant streaming computation at scale,” Sosp, no. 1, pp. 423–438, 2013.
Mackay, E.B., Wilkinson, M.E., MacLeod, C.J.A., Beven, K., Percy, B.J., Macklin, M.G., Quinn, P.F., Stutter, M., Haygarth, P.M., (2015). “Digital catchment observatories: A platform for engagement and knowledge exchange between catchment scientists, policy makers, and local communities,” Water Resources Research, 51, pp. doi: 10.1002/2014WR016824; 4815-4822.
Maier (1996) - Maier, H.R. and Dandy, G.C., 1996. The use of artificial neural networks for the prediction of water quality parameters. Water Resour Res, 32(4), pp.1013-1022.
Marmorek, D. R. and Murray, C. (2003). Adaptive management and ecological restoration. In Friederici, P. (ed.) Ecological restoration of Southwestern ponderosa pine forests, pp. 417–428. Flagstaff, AZ: Ecological Restoration Institute.
Measurement models, Journal of Business Research, Vol. 61, pp. 1203-1218.
Michelsen, N., et al. "YouTube as a crowd-generated water level archive." Science of the Total Environment 568 (2016): 189-195.
Mirzoev, Timur, and Craig Brockman. "SAP HANA and its performance benefits." arXiv preprint arXiv:1404.2160 (2014).
Missbach, Michael, Thorsten Staerk, Cameron Gardiner, Joshua McCloud, Robert Madl, Mark Tempes, and George Anderson. "SAP and the Internet of Things." In SAP on the Cloud, pp. 139-151. Springer Berlin Heidelberg, 2016.
Mühl, G., Fiege, L., & Pietzuch, P. (2006). Distributed Event-Based Systems. Springer 2006.
Muste M. and Lee K. (2013). “Quantification of Hysteretic Be-havior in Streamflow Rating Curves”. Proceedings of the 35 IAHR World Congress, September 8 -13, Chengdu, China.
Muste, M and Cheng, Z. (2015). “Assessment of the Accuracy of Streamflow gauging Stations on Snake River,” Report for Idaho Power Company, Boise, ID
Muste, M. (2012). Information-centric systems for underpinning sustainable watershed resource management, Water Quality and Sustainability, 21 pp. 270-298
Muste, M. (2014). “Information-Centric Systems for Underpinning Sustainable Watershed Resource Management,” Chapter 13 in “Comprehensive Water Quality and Purification,” Ahuja S. (Ed), vol 4, Elsevier, pp. 270-298.
Muste, M., Kim, D., Arnold, N., et al. (2010). Digital watershed inception using community project components. Proceedings of Institution of Civil Engineers – Water Management 163(1), 13–25.
Muste, M., Lee, K. and Bertrand-Krajewski, J-L. (2012). “Standardized Uncertainty Analysis Frameworks for Hydrometry: Review of Relevant Approaches and Implementation Examples,” Hydrological Sciences Journal, available on line; doi:10.1080/0262667.2012.675064.
Muste, M., Z. Cheng, J. Hulme, and P. Vidmar (2015), Consider-ations on discharge estimation using index-velocity rating curves, Proceedings of the 35 IAHR World Congress, June 28 – July 3, Delft – The Hague, the Netherlands.
Nayak (2006) - Nayak, P.C., Rao, Y.S. and Sudheer, K.P., 2006. Groundwater level forecasting in a shallow aquifer using artificial neural network approach. Water Resources Management, 20(1), pp.77-90.
NCS - National Communications System, Supervisory Control and Data Acquisition (SCADA) Systems, Technical Information Bulletin NCS TIB 04-1 (2004), Arlington, Virginia.
O'Callaghan, J. R. "NELUP: an introduction." (1995): 5-20.
OGC. Web Processing Service - http://www.opengeospatial.org/standards/wps
Indyk, N. Koudas, and S. Muthukrishnan. Identifying represen tative trends in massive time series data sets using sketches. In VLDB, 2000.
Pangare, V., Pangare, G., Shah, V., Neupane, B. R. and Rao, S. (2006). Global perspectives on integrated water resources management: A resource kit. New Delhi, India: Academic Foundation.
Paschke, A. (2008) Design Patterns for Complex Event Processing, In Proceedings of the 2nd International Conference on Distributed Event-Based Systems (DEBS'08), Rome, Italy, 2008, Retrieved 15 Januaruy 2010 from http://arxiv.org/ftp/arxiv/papers/0806/0806.1100.pdf.
Perumal, M. and Raju, R. (1999). “Approximate convection-diffusion equations” J. Hydrologic Engn., 4(2), pp. 160-164.
Pilon, P.J., Fulford, J.M., Kopaliani, Z., McCurry, P.J., Ozbey, N., Caponi, C. (2007). “Proposal for the Assessment of Flow Measurement Instruments and Techniques”, Proceedings XXXII IAHR Congress, Venice, Italy.
Plattner, Hasso, and Alexander Zeier. In-memory data management: technology and applications. Springer Science & Business Media, 2012.
Puccinelli, Daniele, and Martin Haenggi. "Wireless sensor networks: applications and challenges of ubiquitous sensing." Circuits and Systems Magazine, IEEE 5, no. 3 (2005): 19-31.
Agrawal, C. Faloutsos, and A. N. Swami. Efficient similarity search in sequence databases. In FODO, 1993.
Aversa, B. Di Martino, M. Ficco, and S. Venticinque. Simulation and Support of Critical Activities by Mobile Agents in Pervasive and Ubiquitous Scenarios. 10th IEEE Int. Symp. on Parallel and Distributed Processing with Applications (ISPA 2012), Leganes, Madrid, 10-13 July 2012, pp. 815-822. IEEE CS Press.
Raadgever, G. T., Mostert, E. and van de Giesen, N. C. (2006). Measuring adaptive river basin management. In: Colosimo, M. and Potts, D. F. (eds.) Proceedings of the AWRA 2006 Summer Specialty Conference ‘Adaptive Management of Water Resources’. Middleburg, VA: American Water Resources Association (AWRA).
Rantz, S.E. and others., (1982). “Measurement and computation of streamflow”. US Geological Survey Water Supply Paper 2175, 1, 2.
Roland P. (2005) - Donald Knight, Asaad Shamseldin "River Basin Modelling for Flood Risk Mitigation" CRC Press, Nov 17, 2005
Ruhl, C.A., and M.R. Simpson (2005), “Computation of dis-charge using the index-velocity method in tidally affected are-as”. U.S. Geological Survey, Scientific Investigations Report 2005-5004, Reston, VA.
Ghemawat, H. Gobioff, and S.-T. Leung, “The Google file system,” SIGOPS - Operating Systems Review, vol. 37, no. 5, pp. 29–43, 2003.
Papadimitriou, A. Brockwell, and C. Faloutsos. Adaptive, unsupervised stream mining. VLDB J., 13(3), 2004.
Savenije, H. H. G. and Hoekstra, A. Y. (2002). Water resources management. In knowledge for sustainable development: An insight into the encyclopedia of life support systems, vol. II, pp. 155–180. Paris, France: UNESCO Publishing/Oxford, UK: EOLSS Publishers.
Schmidt A. R., (2002). “Analysis of stage-discharge relations for open channel flows and their associated uncertainties”. Ph.D. Thesis, U of Illinois at Urbana-Champaign, Champaign, IL
Sikka, Vishal, Franz Färber, Wolfgang Lehner, Sang Kyun Cha, Thomas Peh, and Christof Bornhövd. "Efficient transaction processing in SAP HANA database: the end of a column store myth." In Proceedings of the 2012 ACM SIGMOD International Conference on Management of Data, pp. 731-742. ACM, 2012.
Simonovic, S. (2009). Managing water resources. Paris, France: UNESCO Publishing.
Smith, C.F., Cordova, J.T. and Wiele, S.M. (2010). “The contin-uous slope-area method for computing event hydrographs”, U.S. Geological Survey Scientific Investigation Report 2010-5241, Reston, VA, 37p.
Song, T. and W. H. Graf (1996), “Velocity and turbulence distri-bution in unsteady open-channel flows”, J. Hydraul. Eng., 122(3), 141-154, doi: 10.1061/(ASCE)0733-9429(1996)122:3(141)
Sreekanth (2012) - Sreekanth, J. and Datta, B., 2012. Genetic programming: efficient modelingmodelling tool in hydrology and groundwater management.
Stanford, 2016- Stanford CS class - Convolutional Neural Networks for Visual Recognition url: http://cs231n.github.io/neural-networks-1/. Last access May 2016
Starkey, E., Parkin, G., Birkinshaw, S., Large, A., Quinn, P., and Gibson, C.: Demonstrating the value of community- based (“citizen science”) observations for catchment modelling and characterisation, J. Hydrol., 548, 801–817, https://doi.org/10.1016/j.jhydrol.2017.03.019, 2017.
Ide and K. Inoue. Knowledge discovery from heterogeneous dynamic systems using change-point correlations. In SDM, 2005.
Talei (2010) - Talei, A., Chua, L.H.C. and Wong, T.S., 2010. Evaluation of rainfall and discharge inputs used by Adaptive Network-based Fuzzy Inference Systems (ANFIS) in rainfall–runoff modelingmodelling. Journal of Hydrology, 391(3), pp.248-262.
Tanty R. (2015) -Tanty, Rakesh, and Tanweer S. Desmukh. "Application of Artificial Neural Network in Hydrology-A Review." International Journal of Engineering Research and Technology. Vol. 4. No. 06, June-2015. ESRSA Publications, 2015.
TCHME (2003). “Annotated Bibliography on Uncertainty Analysis”, Task Committee on Experimental Uncertainty and Measurement Errors in Hydraulic Engineering, EWRI, ASCE, Available on line at: http://www.dri.edu/People/Mark.Stone/Tchme/task.html
Tyler Akidau, Alex Balikov, Kaya Bekiroglu, Slava Chernyak, Josh Haberman, Reuven Lax, Sam McVeety, Daniel Mills, Paul Nordstrom, and Sam Whittle. MillWheel: Fault-tolerant stream processing at internet scale. In VLDB, 2013.
Tyson Condie, Neil Conway, Peter Alvaro, and Joseph M. Hellerstein. Map- Reduce online. NSDI, 2010.
Walker, D., Forsythe, N., Parkin, G., and Gowing, J.: Filling the observational void: scientific value and quantitative validation of hydrometeorological data from a community-based monitoring programme, J. Hydrol., 538, 713–725, https://doi.org/10.1016/j.jhydrol.2016.04.062, 2016.
Wan, Jiangwen, Yang Yu, Yinfeng Wu, Renjian Feng, and Ning Yu. "Hierarchical leak detection and localization method in natural gas pipeline monitoring sensor networks." Sensors 12, no. 1 (2011): 189-214.
Wang (2006) - Wang, W., Van Gelder, P.H., Vrijling, J.K. and Ma, J., 2006. Forecasting daily streamflow using hybrid ANN models. Journal of Hydrology, 324(1), pp.383-399.
WATERS, (2008), Water and Environmental Research Systems Network, Science Plan, National Science Foundation, Reston, VA, USA
Williams, B. K., Szaro, R. C. and Shapiro, C. D. (2007). Adaptive management: The U.S. department of interior technical guide. Washington, DC: Adaptive Management Working Group, U.S. Department of Interior.
WISE – The Water Information System for Europe: http://water.europa.eu/
WMO (2007). “Exploratory Meeting on CHy’s Proposal for the Assessment of the Performance of Flow Measurement Instruments and Techniques,” 04/25-27/2007 Meeting Final Report, (available at: http://www.wmo.int/pages/prog/hwrp/FlowMeasurement.html), World Meteorological Organization, Geneva, Switzerland.
WMO (2008). “Guide to Hydrological Practices,” Commission for Hydrology, WMO-No 168, Sixth edition, World Meteorological Organization, Geneva, Switzerland, available on line at: http://www.whycos.org/hwrp/guide/index.php.
Wu X. (2014) - Wu, Xindong, Xingquan Zhu, Gong-Qing Wu, and Wei Ding. "Data mining with big data." Knowledge and Data Engineering, IEEE Transactions on 26, no. 1 (2014): 97-107
Xin, Reynold S., Joseph E. Gonzalez, Michael J. Franklin, and Ion Stoica. "Graphx: A resilient distributed graph system on spark." In First International Workshop on Graph Data Management Experiences and Systems, p. 2. ACM, 2013.
Xu, H., Hameed, H., Shen, B., Demir, I., Muste, M., Stevenson, M.B. and Hunemuller, T. (2016). “Prototype Decision Support System for Interjurisdictional Collaboration in Water Resource Management,” August 21-26, 2016, Hydroinformatics Conference, Incheon, Korea.
Zhang, N. Meratnia, and P. Havinga. Outlier detection techniques for wireless sensor networks: A survey. IEEE Communications Survey & Tutorials, 12(2), 2010.
Yoon (2011) - Yoon, H., Jun, S.C., Hyun, Y., Bae, G.O. and Lee, K.K., 2011. A comparative study of artificial neural networks and support vector machines for predicting groundwater levels in a coastal aquifer. Journal of Hydrology, 396(1), pp.128-138.
Zaheer (2003) - Zaheer, I. and Bai, C.G., 2003. Application of artificial neural network for water quality management. Lowl Technol Int, 5(2), pp.10-15.
Zhengping Qian, Yong He, Chunzhi Su, ZhuojieWu, Hongyu Zhu, Taizhi Zhang, Lidong Zhou, Yuan Yu, and Zheng Zhang. Timestream: Reliable stream computation in the cloud. In EuroSys ’13, 2013.
A. Ostfeld, "Enhancing Water-Distribution System Security through Modeling.", Journal of Water Resource Planning Management, 10.1061/ (ASCE) 0733-9496, vol:132, no:4, pp.209-210, 2006.
C. Copeland and B. A. Cody, “Terrorism and security issues facing the water infrastructure sector”, 2005.
P. H. Gleick, “Water and terrorism”, Journal Water Policy, vol: 8, pp.481–503, 2006.
D. Kuipers, M. Fabro, “Control Systems Cyber Security: Defense in Depth Strategies”, INL, U.S. Department of Energy National Laboratory, Battelle Energy Alliance, 2006.
E. Byres, P. Eng. J. Lowe, “The Myths and Facts behind Cyber Security Risks for Industrial Control Systems”, British Columbia Institute of Technology, 2008.
J. Phelan, P. Sholander, B. Smith, “Risk assessment for physical and cyber-attacks on critical infrastructures”, J. Depoy, Sandia Nat. Labs., Albuquerque, NM, 2007, USA.
Manimaran Govindarasu, Adam Hahn, Peter Sauer, “Cyber-Physical Systems Security for Smart Grid”, University of Illinois at Urbana-Champaign, PSERC, May 2012.
Garcia, CE Roa, and S. Brown. "Assessing water use and quality through youth participatory research in a rural Andean watershed." Journal of Environmental Management, vol:90, no:10, pp. 3040-3047, 2009.
Reddy, Sasank, Deborah Estrin, and Mani Srivastava. "Recruitment framework for participatory sensing data collections." Pervasive Computing. Springer Berlin Heidelberg, pp.138-155, 2010.
Kim, Sunyoung, et al. "Creek watch: pairing usefulness and usability for successful citizen science." Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. ACM, 2011.
Lu, Hong, et al. "Bubble-sensing: Binding sensing tasks to the physical world." Pervasive and Mobile Computing, vol:6, no:1, pp. 58-71, 2010.
Dan Huru and Catalin Leordeanu and Elena Apostol and Valentin Cristea. BigClue: Towards a generic IoT cross-domain data processing platform. Published 2018 IEEE 14th International conference on Intelligent Computer Communication and Processing, ICCP, hold September 6-9, 2018 in Cluj-Napoca, Romania.
Andrei Dincu and Elena Apostol and Catalin Leordeanu and Mariana Mocanu and Dan Huru. Real-time processing of Heterogeneous Data in Sensor-based Systems. Published 2016 by IEEE in Proceedings of 10th International Conference on Complex, Intelligent, and Software Intensive Systems (CISIS), pp 290-295.
Ciolofan, Sorin N., Aurelian Draghia, Radu Drobot, Mariana Mocanu, and Valentin Cristea. "Decision support tool for accidental pollution management." Environmental Science and Pollution Research Volume 25, no. 7 (2018), pp 7090-7097. ISSN: 0944-1344, DOI: 10.1007/s11356-017-1028-5, IF 2,8
Ciolofan, Sorin N., Gheorghe Militaru, Aurelian Draghia, Radu Drobot and Monica Dragoicea, "Optimization of Water Reservoir Operation to Minimize the Economic Losses Caused by Pollution" DOI 10.1109/ACCESS.2018.2879571, IEEE Access (2018). IF 3.557
Ciolofan, SN; Mocanu, M.; Cristea, V., Cloud based large scale multidimensional cubic spline interpolation for water quality estimation, University Politehnica of Bucharest Scientific Bulletin Series C-Electrical Engineering and Computer Science, Volume 79, Issue 2, Pages 25-36, Published: 2017, ISSN: 2286-3540, eISSN: 2286-3559
GWP (2004). Catalyzing change: A handbook for developing integrated water resources management (IWRM) and water efficiency strategies. Global Water Partnership, Elanders, Svensk Information, Stockholm, Sweden. Available at http://www.unwater.org/downloads/Catalyzing_change-final.pdf (accessed on 21 January 2013).
Jollymore, Ashlee, Morgan J. Haines, Terre Satterfield, and Mark S. Johnson. "Citizen science for water quality monitoring: Data implications of citizen perspectives." Journal of environmental management 200 (2017): 456-467.
Computing, Fog. "the Internet of Things: Extend the Cloud to Where the Things are." Cisco White Paper (2015).
Gyrard, Amelie, Martin Serrano, and Pankesh Patel. "Building interoperable and cross-domain semantic web of things applications." In Managing the Web of Things, pp. 305-324. 2017.