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Sreeparvathy, Vijay, Srinivas, V.V. (2020) A fuzzy entropy approach for design of hydrometric monitoring networks. Journal of Hydrology, 586. 124797pp. doi:10.1016/j.jhydrol.2020.124797

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Reference TypeJournal (article/letter/editorial)
TitleA fuzzy entropy approach for design of hydrometric monitoring networks
JournalJournal of Hydrology
AuthorsSreeparvathy, VijayAuthor
Srinivas, V.V.Author
Year2020 (July)Volume586
PublisherElsevier BV
DOIdoi:10.1016/j.jhydrol.2020.124797Search in ResearchGate
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Mindat Ref. ID7247910Long-form Identifiermindat:1:5:7247910:4
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Full ReferenceSreeparvathy, Vijay, Srinivas, V.V. (2020) A fuzzy entropy approach for design of hydrometric monitoring networks. Journal of Hydrology, 586. 124797pp. doi:10.1016/j.jhydrol.2020.124797
Plain TextSreeparvathy, Vijay, Srinivas, V.V. (2020) A fuzzy entropy approach for design of hydrometric monitoring networks. Journal of Hydrology, 586. 124797pp. doi:10.1016/j.jhydrol.2020.124797
In(2020) Journal of Hydrology Vol. 586. Elsevier BV

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Sreeparvathy, Vijay, Srinivas, V. V. (2022) A Bayesian Fuzzy Clustering Approach for Design of Precipitation Gauge Network Using Merged Remote Sensing and Groundā€Based Precipitation Products. Water Resources Research, 58 (2) doi:10.1029/2021wr030612
Basu, Bidroha, Srinivas, V.V. (2015) Analytical approach to quantile estimation in regional frequency analysis based on fuzzy framework. Journal of Hydrology, 524. 30-43 doi:10.1016/j.jhydrol.2015.02.026
Satyanarayana, P., Srinivas, V.V. (2011) Regionalization of precipitation in data sparse areas using large scale atmospheric variables ā€“ A fuzzy clustering approach. Journal of Hydrology, 405 (3). 462-473 doi:10.1016/j.jhydrol.2011.05.044
Rao, A. Ramachandra, Srinivas, V.V. (2006) Regionalization of watersheds by fuzzy cluster analysis. Journal of Hydrology, 318 (1). 57-79 doi:10.1016/j.jhydrol.2005.06.004
Stosic, Tatijana, Stosic, Borko, Singh, Vijay P. (2017) Optimizing streamflow monitoring networks using joint permutation entropy. Journal of Hydrology, 552. 306-312 doi:10.1016/j.jhydrol.2017.07.003
Basu, Bidroha, Srinivas, V.V. (2015) A recursive multi-scaling approach to regional flood frequency analysis. Journal of Hydrology, 529. 373-383 doi:10.1016/j.jhydrol.2015.07.037
Sreeparvathy, Vijay, Srinivas, V. V. (2022) Global assessment of spatiotemporal variability of wet, normal and dry conditions using multiscale entropy-based approach. Scientific Reports, 12 (1) doi:10.1038/s41598-022-13830-w
Tripathi, Shivam, Srinivas, V.V., Nanjundiah, Ravi S. (2006) Downscaling of precipitation for climate change scenarios: A support vector machine approach. Journal of Hydrology, 330 (3). 621-640 doi:10.1016/j.jhydrol.2006.04.030
Li, Heshu, Wang, Dong, Singh, Vijay P., Wang, Yuankun, Wu, Jianfeng, Wu, Jichun (2021) Developing an entropy and copula-based approach for precipitation monitoring network expansion. Journal of Hydrology, 598. 126366pp. doi:10.1016/j.jhydrol.2021.126366
Salman, Reza, Nikoo, Mohammad Reza, Shojaeezadeh, Shahab Aldin, Beiglou, Pouyan Hatami Bahman, Sadegh, Mojtaba, Adamowski, Jan Franklin, Alamdari, Nasrin (2021) A novel Bayesian maximum entropy-based approach for optimal design of water quality monitoring networks in rivers. Journal of Hydrology, 603. 126822pp. doi:10.1016/j.jhydrol.2021.126822
Bhatt, Jaya, Srinivas, V.V. (2023) Re-inventing Bethlahmy method for estimating probable maximum precipitation. Journal of Hydrology, 626. 130344 doi:10.1016/j.jhydrol.2023.130344
 
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