Matches in SemOpenAlex for { <https://semopenalex.org/work/W1830286544> ?p ?o ?g. }
- W1830286544 abstract "Design rainfall time series are a critical input for urban flood modeling and require depth-duration-frequency curves along with a design temporal pattern. The association between rainfall depth and duration, which depicts the inherent structure of rainfall patterns, plays an important role in flood-causing potential; this association can be revealed through a bivariate rainfall frequency analysis to obtain the depth-duration-frequency curves. Unlike earlier approaches that use either parametric or nonparametric models, the present study proposes a new semiparametric model approach, which can evaluate all possible combinations of the parametric-nonparametric marginals without restrictions. A comparison between the copula-based bivariate frequency analysis and the generalized least-squares regression shows the former to be better in performance. The first three best-fit models—Gaussian kernel, triangle kernel, and Burr type XII combined with the generalized Pareto distribution—yield consistently similar results, indicating the robustness of the approach. Realistic design rainfall temporal pattern could also be derived from the observed set of temporal patterns using their skew, kurtosis, and bimodality measure to quantify the maximum flood-causing potential and also to generate the design rainfall time series. The proposed framework has been demonstrated for a severely flood-prone coastal megacity, Mumbai, in India." @default.
- W1830286544 created "2016-06-24" @default.
- W1830286544 creator A5044373337 @default.
- W1830286544 creator A5056489340 @default.
- W1830286544 creator A5078112656 @default.
- W1830286544 creator A5090492425 @default.
- W1830286544 date "2016-01-01" @default.
- W1830286544 modified "2023-10-16" @default.
- W1830286544 title "Design Rainfall Framework Using Multivariate Parametric-Nonparametric Approach" @default.
- W1830286544 cites W1822348759 @default.
- W1830286544 cites W1972168428 @default.
- W1830286544 cites W1982112918 @default.
- W1830286544 cites W1986495142 @default.
- W1830286544 cites W1986530573 @default.
- W1830286544 cites W1989243075 @default.
- W1830286544 cites W1997817740 @default.
- W1830286544 cites W2012391227 @default.
- W1830286544 cites W2012912804 @default.
- W1830286544 cites W2021884894 @default.
- W1830286544 cites W2023786425 @default.
- W1830286544 cites W2032610713 @default.
- W1830286544 cites W2036810058 @default.
- W1830286544 cites W2036983007 @default.
- W1830286544 cites W2037382076 @default.
- W1830286544 cites W2038862999 @default.
- W1830286544 cites W2048509646 @default.
- W1830286544 cites W2057752370 @default.
- W1830286544 cites W2060260612 @default.
- W1830286544 cites W2061668675 @default.
- W1830286544 cites W2072386594 @default.
- W1830286544 cites W2076092328 @default.
- W1830286544 cites W2080185330 @default.
- W1830286544 cites W2090112696 @default.
- W1830286544 cites W2093230975 @default.
- W1830286544 cites W2102592963 @default.
- W1830286544 cites W2110978023 @default.
- W1830286544 cites W2111532873 @default.
- W1830286544 cites W2111741784 @default.
- W1830286544 cites W2114760186 @default.
- W1830286544 cites W2121514142 @default.
- W1830286544 cites W2127031627 @default.
- W1830286544 cites W2132789303 @default.
- W1830286544 cites W2139071050 @default.
- W1830286544 cites W2142635246 @default.
- W1830286544 cites W2144572124 @default.
- W1830286544 cites W2149923950 @default.
- W1830286544 cites W2168175751 @default.
- W1830286544 cites W2180970328 @default.
- W1830286544 cites W2507039649 @default.
- W1830286544 cites W392875559 @default.
- W1830286544 cites W4239065789 @default.
- W1830286544 cites W4300187280 @default.
- W1830286544 doi "https://doi.org/10.1061/(asce)he.1943-5584.0001256" @default.
- W1830286544 hasPublicationYear "2016" @default.
- W1830286544 type Work @default.
- W1830286544 sameAs 1830286544 @default.
- W1830286544 citedByCount "28" @default.
- W1830286544 countsByYear W18302865442016 @default.
- W1830286544 countsByYear W18302865442017 @default.
- W1830286544 countsByYear W18302865442018 @default.
- W1830286544 countsByYear W18302865442019 @default.
- W1830286544 countsByYear W18302865442020 @default.
- W1830286544 countsByYear W18302865442021 @default.
- W1830286544 countsByYear W18302865442022 @default.
- W1830286544 countsByYear W18302865442023 @default.
- W1830286544 crossrefType "journal-article" @default.
- W1830286544 hasAuthorship W1830286544A5044373337 @default.
- W1830286544 hasAuthorship W1830286544A5056489340 @default.
- W1830286544 hasAuthorship W1830286544A5078112656 @default.
- W1830286544 hasAuthorship W1830286544A5090492425 @default.
- W1830286544 hasConcept C102366305 @default.
- W1830286544 hasConcept C105795698 @default.
- W1830286544 hasConcept C117251300 @default.
- W1830286544 hasConcept C133514767 @default.
- W1830286544 hasConcept C147581598 @default.
- W1830286544 hasConcept C149782125 @default.
- W1830286544 hasConcept C161584116 @default.
- W1830286544 hasConcept C166957645 @default.
- W1830286544 hasConcept C166963901 @default.
- W1830286544 hasConcept C17618745 @default.
- W1830286544 hasConcept C19539793 @default.
- W1830286544 hasConcept C205649164 @default.
- W1830286544 hasConcept C33923547 @default.
- W1830286544 hasConcept C41008148 @default.
- W1830286544 hasConcept C64341305 @default.
- W1830286544 hasConcept C74256435 @default.
- W1830286544 hasConcept C97118885 @default.
- W1830286544 hasConceptScore W1830286544C102366305 @default.
- W1830286544 hasConceptScore W1830286544C105795698 @default.
- W1830286544 hasConceptScore W1830286544C117251300 @default.
- W1830286544 hasConceptScore W1830286544C133514767 @default.
- W1830286544 hasConceptScore W1830286544C147581598 @default.
- W1830286544 hasConceptScore W1830286544C149782125 @default.
- W1830286544 hasConceptScore W1830286544C161584116 @default.
- W1830286544 hasConceptScore W1830286544C166957645 @default.
- W1830286544 hasConceptScore W1830286544C166963901 @default.
- W1830286544 hasConceptScore W1830286544C17618745 @default.
- W1830286544 hasConceptScore W1830286544C19539793 @default.
- W1830286544 hasConceptScore W1830286544C205649164 @default.
- W1830286544 hasConceptScore W1830286544C33923547 @default.