Please use this identifier to cite or link to this item: http://ir.nbu.ac.in/handle/123456789/5132
Title: Change Detection in Hydrological Time Series Data
Other Titles: Geography as a Discipline Opportunities & Challenges, 2022, p 131
Authors: Paul, Rupak Kumar
Keywords: Change detection
Time series
Issue Date: 2022
Publisher: R K Books
Abstract: Scientists are accustomed to use statistical tools and techniques to detect change in hydrological time series, but these available techniques are not the panacea for resolving such issues since the concerned techniques provide expressions of probability and not certainty. For instance, the change in annual discharge has been detected for long term dataset but this change might not be due to alteration of any one or more components like land use land cover, or climate or change in agri-technology - of the system in basin scale, rather it happened due to change in methodology of concerned data generation or shifting of gauge station etc...
URI: http://ir.nbu.ac.in/handle/123456789/5132
ISBN: 978-81-956639-1-0
Appears in Collections:Book Chapters

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