Evaluation of spring flows using recession flow analysis techniques Article Swipe
YOU?
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· 2024
· Open Access
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· DOI: https://doi.org/10.2166/ws.2024.114
This study delves into the analysis of recession characteristics of spring base flow, focusing on the Hill campus spring (elevation of approximately 2,150 m) and Fakua spring (elevation of approximately 1,850 m) in the Tehri Garhwal district of Uttarakhand, India. Spanning from January 1999 to December 2004, discharge data from G.B. Pant University of Agriculture and Technology's Hill campus are employed. The research employs an automated, objective-based method to generate master recession curves (MRCs) and categorize them into early, intermittent, and late recession segments. Statistical parameters and low-flow indices from flow duration curves (FDCs) are utilized for flow assessment, while base flow indices (BFIs) are analyzed using the Web-based Hydrograph Analysis Tool (WHAT). The findings highlight the importance of water storage strategies during the rainy season for the sustainable utilization of spring water. The study suggests that the techniques applied are equally applicable for analyzing river flow recession characteristics, emphasizing the broader implications for integrated water resources planning and management in mountainous regions.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.2166/ws.2024.114
- https://iwaponline.com/ws/article-pdf/doi/10.2166/ws.2024.114/1423862/ws2024114.pdf
- OA Status
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- OpenAlex ID
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Raw OpenAlex JSON
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https://doi.org/10.2166/ws.2024.114Digital Object Identifier
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Evaluation of spring flows using recession flow analysis techniquesWork title
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articleOpenAlex work type
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enPrimary language
- Publication year
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2024Year of publication
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2024-05-27Full publication date if available
- Authors
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Ravindra Kale, Anuj Kumar Dwivedi, C. S. P. Ojha, Rituraj ShuklaList of authors in order
- Landing page
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https://doi.org/10.2166/ws.2024.114Publisher landing page
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https://iwaponline.com/ws/article-pdf/doi/10.2166/ws.2024.114/1423862/ws2024114.pdfDirect link to full text PDF
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YesWhether a free full text is available
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diamondOpen access status per OpenAlex
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https://iwaponline.com/ws/article-pdf/doi/10.2166/ws.2024.114/1423862/ws2024114.pdfDirect OA link when available
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Spring (device), Flow (mathematics), Recession, Computer science, Geology, Mechanics, Economics, Keynesian economics, Engineering, Mechanical engineering, PhysicsTop concepts (fields/topics) attached by OpenAlex
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0Total citation count in OpenAlex
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37Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.Tehri | 35 |
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| abstract_inverted_index.(MRCs) | 74 |
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| abstract_inverted_index.spring | 11, 19, 27, 132 |
| abstract_inverted_index.water. | 133 |
| abstract_inverted_index.(WHAT). | 113 |
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| abstract_inverted_index.January | 43 |
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| abstract_inverted_index.broader | 152 |
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| abstract_inverted_index.equally | 142 |
| abstract_inverted_index.indices | 89, 103 |
| abstract_inverted_index.storage | 121 |
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| abstract_inverted_index.Spanning | 41 |
| abstract_inverted_index.analysis | 6 |
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| abstract_inverted_index.low-flow | 88 |
| abstract_inverted_index.planning | 158 |
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| abstract_inverted_index.suggests | 136 |
| abstract_inverted_index.utilized | 96 |
| abstract_inverted_index.Web-based | 109 |
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| abstract_inverted_index.discharge | 48 |
| abstract_inverted_index.employed. | 61 |
| abstract_inverted_index.highlight | 116 |
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| abstract_inverted_index.segments. | 84 |
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| abstract_inverted_index.Statistical | 85 |
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| abstract_inverted_index.objective-based | 67 |
| abstract_inverted_index.characteristics, | 149 |
| cited_by_percentile_year | |
| corresponding_author_ids | https://openalex.org/A5008880170 |
| countries_distinct_count | 2 |
| institutions_distinct_count | 4 |
| corresponding_institution_ids | https://openalex.org/I4210147361 |
| citation_normalized_percentile.value | 0.09704536 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |