A Cumulative Rainfall Function for Subhourly Design Storm in Mediterranean Urban Areas
Design storms are very useful in many hydrological and hydraulic practices and are obtained from statistical analysis of precipitation records. However considering design storms, which are often quite unlike the natural rainstorms, may result in designing oversized or undersized drainage facilities....
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| Format: | Article |
| Language: | English |
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Wiley
2015-01-01
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| Series: | Advances in Meteorology |
| Online Access: | http://dx.doi.org/10.1155/2015/528564 |
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| author | Marco Carbone Michele Turco Giuseppe Brunetti Patrizia Piro |
| author_facet | Marco Carbone Michele Turco Giuseppe Brunetti Patrizia Piro |
| author_sort | Marco Carbone |
| collection | DOAJ |
| description | Design storms are very useful in many hydrological and hydraulic practices and are obtained from statistical analysis of precipitation records. However considering design storms, which are often quite unlike the natural rainstorms, may result in designing oversized or undersized drainage facilities. For these reasons, in this study, a two-parameter double exponential function is proposed to parameterize historical storm events. The proposed function has been assessed against the storms selected from 5-year rainfall time series with a 1-minute resolution, measured by three meteorological stations located in Calabria, Italy. In particular, a nonlinear least square optimization has been used to identify parameters. In previous studies, several evaluation methods to measure the goodness of fit have been used with excellent performances. One parameter is related to the centroid of the rain distribution; the second one is related to high values of the standard deviation of the kurtosis for the selected events. Finally, considering the similarity between the proposed function and the Gumbel function, the two parameters have been computed with the method of moments; in this case, the correlation values were lower than those computed with nonlinear least squares optimization but sufficiently accurate for designing purposes. |
| format | Article |
| id | doaj-art-3825c3ae4eb744549ed23e2b13f38bb5 |
| institution | Kabale University |
| issn | 1687-9309 1687-9317 |
| language | English |
| publishDate | 2015-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Meteorology |
| spelling | doaj-art-3825c3ae4eb744549ed23e2b13f38bb52025-02-03T05:44:01ZengWileyAdvances in Meteorology1687-93091687-93172015-01-01201510.1155/2015/528564528564A Cumulative Rainfall Function for Subhourly Design Storm in Mediterranean Urban AreasMarco Carbone0Michele Turco1Giuseppe Brunetti2Patrizia Piro3Department of Civil Engineering, University of Calabria, Via P. Bucci, Cubo 42/b, 87036 Rende, ItalyDepartment of Civil Engineering, University of Calabria, Via P. Bucci, Cubo 42/b, 87036 Rende, ItalyDepartment of Civil Engineering, University of Calabria, Via P. Bucci, Cubo 42/b, 87036 Rende, ItalyDepartment of Civil Engineering, University of Calabria, Via P. Bucci, Cubo 42/b, 87036 Rende, ItalyDesign storms are very useful in many hydrological and hydraulic practices and are obtained from statistical analysis of precipitation records. However considering design storms, which are often quite unlike the natural rainstorms, may result in designing oversized or undersized drainage facilities. For these reasons, in this study, a two-parameter double exponential function is proposed to parameterize historical storm events. The proposed function has been assessed against the storms selected from 5-year rainfall time series with a 1-minute resolution, measured by three meteorological stations located in Calabria, Italy. In particular, a nonlinear least square optimization has been used to identify parameters. In previous studies, several evaluation methods to measure the goodness of fit have been used with excellent performances. One parameter is related to the centroid of the rain distribution; the second one is related to high values of the standard deviation of the kurtosis for the selected events. Finally, considering the similarity between the proposed function and the Gumbel function, the two parameters have been computed with the method of moments; in this case, the correlation values were lower than those computed with nonlinear least squares optimization but sufficiently accurate for designing purposes.http://dx.doi.org/10.1155/2015/528564 |
| spellingShingle | Marco Carbone Michele Turco Giuseppe Brunetti Patrizia Piro A Cumulative Rainfall Function for Subhourly Design Storm in Mediterranean Urban Areas Advances in Meteorology |
| title | A Cumulative Rainfall Function for Subhourly Design Storm in Mediterranean Urban Areas |
| title_full | A Cumulative Rainfall Function for Subhourly Design Storm in Mediterranean Urban Areas |
| title_fullStr | A Cumulative Rainfall Function for Subhourly Design Storm in Mediterranean Urban Areas |
| title_full_unstemmed | A Cumulative Rainfall Function for Subhourly Design Storm in Mediterranean Urban Areas |
| title_short | A Cumulative Rainfall Function for Subhourly Design Storm in Mediterranean Urban Areas |
| title_sort | cumulative rainfall function for subhourly design storm in mediterranean urban areas |
| url | http://dx.doi.org/10.1155/2015/528564 |
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