TY  - GEN
N2  - 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.
DO  - 10.1007/978-3-031-35279-9
DO  - doi
AB  - 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.
T1  - Emerging Technologies for Water Supply, Conservation and Management /
DA  - 2023.
CY  - Cham :
AU  - Balaji, Etikala.
AU  - Veeraswamy, Golla.
AU  - Mannala, Prasad.
AU  - Madhav, Sughosh.
CN  - TD353
PB  - Springer International Publishing AG,
PP  - Cham :
PY  - 2023.
ID  - 1472157
KW  - Water-supply
KW  - Water-supply
KW  - Water conservation
KW  - Water conservation
SN  - 9783031352799
SN  - 3031352793
TI  - Emerging Technologies for Water Supply, Conservation and Management /
LK  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-35279-9
UR  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-35279-9
ER  -