Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Nilotpal Debbarma"'
Publikováno v:
Aqua, Vol 72, Iss 12, Pp 2201-2215 (2023)
The machine learning techniques of Multiple Linear Regression (MLR), Generalized Additive Models (GAMs), and the Random Forest (RF) Method have been used to analyze the extreme annual rainfall in the six states of Assam, Meghalaya, Tripura, Mizoram,
Externí odkaz:
https://doaj.org/article/06de8e2f4b3f467f9fad16ed2e421aed
Publikováno v:
Water Policy, Vol 25, Iss 12, Pp 1113-1124 (2023)
Analysis of extreme annual rainfall in the six north-east Indian states of Assam, Meghalaya, Nagaland, Manipur, Mizoram, and Tripura using the deterministic interpolation technique of inverse distance weighting (IDW), the geospatial interpolation tec
Externí odkaz:
https://doaj.org/article/d6c892a447a44aa8b4e4c9bd76db8b0d
Publikováno v:
Journal of Water and Climate Change, Vol 13, Iss 9, Pp 3323-3337 (2022)
Flood flow forecasting is essential for mitigating damage in flood-prone areas all over the world. Advanced actions and methodology to optimize peak flow criteria can be adopted based on forecasted discharge information. This paper applied the models
Externí odkaz:
https://doaj.org/article/f726493f03ca4bc8b257333565bebbaf
Publikováno v:
Water Practice and Technology, Vol 16, Iss 4, Pp 1446-1464 (2021)
Non-availability of adequate extreme rainfall information at any place of interest are solved using regionalization where subjective grouping of similar attributes of nearby gauged stations is performed. K-Means and Fuzzy C-Means are commonly used me
Externí odkaz:
https://doaj.org/article/af804a94df7f4a3bb410dcc63fe7dd40
Publikováno v:
Civil Engineering Journal. 7:1817-1835
Estimation of rainfall quantile is an important step in regional frequency analysis for planning and design of any water resources project. Related evaluations of accuracy and uncertainty help to further assist in enhancing the reliability of design
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ddb44375980047abb492a0b021026d5f
https://doi.org/10.28991/cej-2021-03091762
https://doi.org/10.28991/cej-2021-03091762
Publikováno v:
Water Practice and Technology, Vol 16, Iss 4, Pp 1446-1464 (2021)
Non-availability of adequate extreme rainfall information at any place of interest are solved using regionalization where subjective grouping of similar attributes of nearby gauged stations is performed. K-Means and Fuzzy C-Means are commonly used me
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7b42b3bda5bf06566900550b2c533bbe
https://doi.org/10.2166/wpt.2021.086
https://doi.org/10.2166/wpt.2021.086
Publikováno v:
Water Supply. 19:1491-1499
The detection of appropriate homogeneous regions is an important step in regional frequency analysis with the determination of homogeneity depending to a great extent on the type of method used in grouping. So, the study considers a genetic-algorithm
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4002a33dead21a5f1de956a258759cc0
https://doi.org/10.2166/ws.2019.018
https://doi.org/10.2166/ws.2019.018
Autor:
Sandeep Kumar Naidu, Nilotpal Debbarma
Extreme rainfall event occurrence and its impact on hydrological systems and society is a critical scrutiny in the design and study of water resources projects and with the sparsity often observed with precipitation records in most of the regionaliza
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5d86203e7e5aeabbae3c3f7a3261d4b8
