@article{1472157,
      recid = {1472157},
      author = {Balaji, Etikala. and Veeraswamy, Golla. and Mannala,  Prasad. and Madhav, Sughosh.},
      title = {Emerging Technologies for Water Supply, Conservation and  Management /},
      publisher = {Springer International Publishing AG,},
      address = {Cham :},
      pages = {1 online resource (xiv, 384 pages) :},
      year = {2023},
      abstract = {This book deals with the role of emerging technologies  such as remote sensing and GIS and artificial  intelligence/machine learning in water supply, conservation  and management for sustainable development. These are  low-cost new technologies that address current challenges  dealing with large data sets, such as identifying spatial  and temporal variations in water quality parameters and  contaminants, groundwater potential zones and water supply  and management issues. This book is helpful to show the  paths of reducing the burden of time and cost and is the  alternative options for the conventional practices in water  supply, conservation and management. Further, the  outcomings of this book are helpful for policy makers,  researchers and readers.},
      url = {http://library.usi.edu/record/1472157},
      doi = {https://doi.org/10.1007/978-3-031-35279-9},
}