Cyber-physical systems for water sustainability: challenges and opportunities

Water plays a vital role in the proper functioning of the Earth's ecosystems, and practically all human activities, such as agriculture, manufacturing, transportation, and energy production. The proliferation of industrial and agricultural activities in modern society, however, poses threats to water resources in the form of chemical, biological, and thermal pollution. On the other hand, tremendous advancements in science and technology offer valuable tools to address water sustainability challenges. Key technologies, including sensing technology, wireless communications and networking, hydrodynamic modeling, data analysis, and control, enable intelligently wireless networked water cyber-physical systems (CPS) with embedded sensors, processors, and actuators that can sense and interact with the water environment. This article provides an overview of water CPS for sustainability from four critical aspects: sensing and instrumentation; communications and networking; computing; and control. The article also explores opportunities and design challenges of relevant techniques.

[1]  Chong H. Ahn,et al.  State-of-the-art lab chip sensors for environmental water monitoring , 2011 .

[2]  Dario Pompili,et al.  Deployment analysis in underwater acoustic wireless sensor networks , 2006, Underwater Networks.

[3]  C. Choi,et al.  The effect of vibration frequency and amplitude on biofouling deterrence , 2013, Biofouling.

[4]  Eyal Brill Implementing Machine Learning Algorithms for Water Quality Event Detection: Theory and Practice , 2014 .

[5]  Avi Ostfeld,et al.  Securing Water and Wastewater Systems: An Overview , 2011 .

[6]  Lindsey Lyons Research in Sustainability , 2014 .

[7]  Balaji Rajagopalan,et al.  Incorporating probabilistic seasonal climate forecasts into river management using a risk‐based framework , 2013 .

[8]  Zhi Shang,et al.  Impact of mesh partitioning methods in CFD for large scale parallel computing , 2014 .

[9]  R. Clark,et al.  Securing Water and Wastewater Systems: Global Experiences , 2014 .

[10]  Changsheng Chen,et al.  An Unstructured Grid, Finite-Volume, Three-Dimensional, Primitive Equations Ocean Model: Application to Coastal Ocean and Estuaries , 2003 .

[11]  Emily M Zechman Agent-based modeling to simulate contamination events and evaluate threat management strategies in water distribution systems. , 2011, Risk analysis : an official publication of the Society for Risk Analysis.

[12]  M. Storey,et al.  Advances in on-line drinking water quality monitoring and early warning systems. , 2011, Water research.

[13]  Roy C. Haught,et al.  On–Line water quality parameters as indicators of distribution system contamination , 2007 .

[14]  Sue Ellen Haupt,et al.  A Genetic Algorithm Method to Assimilate Sensor Data for a Toxic Contaminant Release , 2007, J. Comput..

[15]  Tzihong Chiueh,et al.  Directionally unsplit hydrodynamic schemes with hybrid MPI/OpenMP/GPU parallelization in AMR , 2011, Int. J. High Perform. Comput. Appl..

[16]  Xianming Shi,et al.  Carbon and steel surfaces modified by Leptothrix discophora SP-6: characterization and implications. , 2007, Environmental science & technology.