Titlebook: Water Informatics; Challenges and Solut Supreeti Kamilya,Arindam Biswas,Sheng-Lung Peng Book 2024 The Editor(s) (if applicable) and The Aut

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Supreeti Kamilya,Arindam Biswas,Sheng-Lung PengDescribes various applications of water resource management using state-of-the-art technologies.Presents the analytical part of surface and groundwater body to control pollution and save ecology.Provi

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,An Analysis and?Monitoring of?Groundwater Quality and?Disaster Management,ding Waterbody Detection and Extraction, improvement and monitoring of ground and underground water quality, and sustainability management of water resources. Furthermore, a study has been reported on the utility of river and ocean water and the curse-based analysis. Detecting and extracting waterbo

摘要

,Identifying the?Changes of?Mine Water Bodies from?Landsat 8 OLI Images in?Automated Manner: A Case es are detected in the literature by several indexes such as normalized difference water index (NDWI), modified normalized water body index (MNDWI), automated water extraction index (AWEI), and others from multi-spectral satellite images. Identifying and separating different types of water bodies us

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IoT-Enabled Water Quality Management System for Rural Areas of Bharuch District,crease water pollution. When the quality of the water is anomalous, an intelligent procedure for monitoring it analyses the sensor data automatically using IoT and notifies the water analyst right away. The beginning of machine-to-machine communication makes data analysis and communication easy and

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,An Analysis and?Monitoring of?Groundwater Quality and?Disaster Management,ding Waterbody Detection and Extraction, improvement and monitoring of ground and underground water quality, and sustainability management of water resources. Furthermore, a study has been reported on the utility of river and ocean water and the curse-based analysis. Detecting and extracting waterbo

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,Identification of?Water Potability Using Machine Learning Techniques, on these ecosystems for nutrient cycling. Hence, water quality is highly desirable, but no single factor can be used to measure water potability. Machine learning (ML)- and deep learning (DL)-based techniques can be trained using datasets consisting of vital factors that affect water quality to pre