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Groundwater and Surface Water Analysis and Predictions in the Environmental Landscape

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Computer Vision and Robotics (CVR 2024)

Part of the book series: Algorithms for Intelligent Systems ((AIS))

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Abstract

One of the most basic necessities for all living things is water. For a variety of daily tasks, including drinking, washing, taking baths, and cooking, humans require water. The water becomes unfit for drinking and other uses if its quality is poor. The quality of water is typically defined in the study of its physical, chemical, and biological properties. Finding water that is suitable for consumption, agriculture, and industrial use becomes imperative. The use of chemical pesticides and fertilizers in agriculture, along with rapid industrialization, is lowering water quality and destroying aquatic biota. The human population is afflicted with water-borne diseases as a result of using contaminated water. The study of physical characteristics, turbidity, pH, hardness, alkalinity, total dissolved solids, chloride, and fluoride are among the parameters that are measured in the study. This study enhances the insistence and improvements required in the environmental challenges of the ecological imbalance.

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Janarthanan, P., Sheena, A.D. (2025). Groundwater and Surface Water Analysis and Predictions in the Environmental Landscape. In: Shukla, P.K., Bhatt, A., Mittal, H., Engelbrecht, A. (eds) Computer Vision and Robotics. CVR 2024. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-97-8868-2_5

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