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Please use this identifier to cite or link to this item: http://lrcdrs.bennett.edu.in:80/handle/123456789/4292
Title: Data-Driven Solutions for Assessing Water Accessibility in Diverse Ecosystems
Authors: Bhardwaj, Arpit
Choudhary, Yash
Issue Date: 2023
Publisher: CYBER TECH PUBLICATIONS
Abstract: Water, also known as "blue gold," is an important resource for ecosystems, businesses, habitats, and ecosystem services. The board's water asset is fundamental given the increasing demands of today and the emerging problems brought forth by environmental change. This analysis provides insights into data-driven solutions to address this problem by creating predictive models that measure water accessibility in various types of waterbodies, such as lakes, streams, and springs. These recurring water sources have unique behaviors that are impacted by a number of factors, including location, environment, and sporadic changes. Our project uses information explicit approaches, with a focus on time series demonstrating and information science, to overcome this entanglement._x000D_ The goal is to develop precise numerical models that capture the unique characteristics of each type of waterbody and result in significant water supply expectations. This endeavor, which sits at the intersection of ecological stewardship and information science, aims to provide chiefs with reliable estimations that will assist in supporting the board's water asset. Our models, which estimate monthly water levels or daily fluctuations, are an important tool for protecting these waterbodies and providing a consistent supply of water. By harnessing the power of knowledge, we strengthen the defense of the "blue gold" that sustains life and the ultimate destiny of our planet.
URI: http://lrcdrs.bennett.edu.in:80/handle/123456789/4292
ISSN: 978-93-5053-925-5
Appears in Collections:Book Chapters_ SCSET

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