Evaluation of Stormwater Infrastructure Design Storms Developed Using Partial Duration and Annual Maximum Series Models

2018 ◽  
Vol 23 (12) ◽  
pp. 04018051 ◽  
Author(s):  
Sandra Vrban ◽  
Yi Wang ◽  
Edward A. McBean ◽  
Andrew Binns ◽  
Bahram Gharabaghi
2014 ◽  
Vol 18 (11) ◽  
pp. 4391-4401 ◽  
Author(s):  
J. L. Salinas ◽  
A. Castellarin ◽  
S. Kohnová ◽  
T. R. Kjeldsen

Abstract. This study aims to better understand the effect of catchment scale and climate on the statistical properties of regional flood frequency distributions. A database of L-moment ratios of annual maximum series (AMS) of peak discharges from Austria, Italy and Slovakia, involving a total of 813 catchments with more than 25 yr of record length is presented, together with mean annual precipitation (MAP) and basin area as catchment descriptors surrogates of climate and scale controls. A purely data-based investigation performed on the database shows that the generalized extreme value (GEV) distribution provides a better representation of the averaged sample L-moment ratios compared to the other distributions considered, for catchments with medium to higher values of MAP independently of catchment area, while the three-parameter lognormal distribution is probably a more appropriate choice for drier (lower MAP) intermediate-sized catchments, which presented higher skewness values. Sample L-moment ratios do not follow systematically any of the theoretical two-parameter distributions. In particular, the averaged values of L-coefficient of skewness (L-Cs) are always larger than Gumbel's fixed L-Cs. The results presented in this paper contribute to the progress in defining a set of "process-driven" pan-European flood frequency distributions and to assess possible effects of environmental change on its properties.


2019 ◽  
Vol 4 (1) ◽  
pp. 10
Author(s):  
Fakhrul Rozi Yamali ◽  
Amri Syakban ◽  
Eko Sugianto

Permasalahan yang terjadi pada sistim drainase Kecamatan Jambi Timur yaitu setiap tahunnya selalu tergenang air, khususnya pada musim penghujan. Pada sejumlah saluran drainase, begitu hujan besar terjadi air meluap keluar dan menggenangi ruas jalan. Faktor yang mempengaruhi daya tampung air tersebut, salah satunya adalah banyak saluran yang sudah menebal endapan lumpurnya.Dalam analisa curah hujan untuk menentukan debit banjir rencana, data curah hujan yang dipergunakan adalah curah hujan maksimum tahunan (Annual Maximum Series). Untuk perhitungan curah hujan rencana, digunakan Metode Distribusi Normal, Distribusi Log Normal, Distribusi Log–Pearson III dan Distribusi Gumbel. Untuk  hujanyang terjadi selama 5 menit sampai 2 jam, persamaan intensitas durasi hujan menggunakan Rumus Talbot, Ishiguro, dan Sherman. Luas area daerah tangkapan (Catchment Area) didapat dengan menggunakan Software Global Mapper 12 berdasarkan data Digital Elevation Model SRTM_57_13. Penggunaan Metode Rasional pada daerah pengaliran dengan beberapa sub daerah pengaliran dapat dilakukan dengan pendekatan nilai C gabungan atau C rata–rata. Adapun rumusan perhitungan debit rencana menggunakan Metode Rasional. Nilai debit rencana akan dibandingkan dengan nilai debit kapasitas yang telah dianalisa berdasarkan analisis hidrologi dan hidrolika. Jika nilai Debit Kapasitas (Qsaluran) lebih kecil dari nilai Debit Rencana (Qrencana), maka dilakukan dimensi ulang saluran drainase.


2013 ◽  
Vol 10 (5) ◽  
pp. 6321-6358 ◽  
Author(s):  
J. L. Salinas ◽  
A. Castellarin ◽  
S. Kohnová ◽  
T. R. Kjeldsen

Abstract. This study addresses the question of the existence of a parent flood frequency distribution on a European scale and aims to better understand the effect of catchment scale and climate on the statistical properties of regional flood frequency distributions. A new database of L-moment ratios of annual maximum series (AMS) of peak discharges from 4105 catchments was compiled by joining 13 national datasets. Using this database and additional Monte Carlo simulations, the Generalised Extreme Value (GEV) distribution appears as a potential pan-European flood frequency distribution, being the 3-parameter statistical model with the closest resemblance to the estimated average of the sample L-moment ratios, but failing to represent the kurtosis dispersion, especially for high skewness values. A more detailed investigation performed on a subset of the database (Austria, Italy and Slovakia, involving a total of 813 catchments with more than 25 yr of record length) confirms that the GEV distribution provides a better representation of the averaged sample L-moment ratios compared to the other distributions considered, for catchments with medium to high values of mean annual precipitation (MAP) independently of catchment area, while the 3-parameter Lognormal distribution is probably a more appropriate choice for dry (low MAP) intermediate-sized catchments, which presented higher skewness values. Sample L-moment ratios do not follow systematically any of the theoretical 2-parameter distributions. In particular, the averaged values of L-coefficient of skewness (L-Cs) are always larger than Gumbel's fixed L-Cs. The results presented in this paper contribute to progress towards the definition of a set of pan-European flood frequency distributions and to assess possible effects of environmental change on its properties.


Proceedings ◽  
2018 ◽  
Vol 7 (1) ◽  
pp. 15
Author(s):  
Luis Mediero

Currently, there is general concern about the non-stationary behaviour of flood series. Consequently, several studies have been conducted to identify large-scale patterns of change in such flood series. In Spain, a general decreasing trend was found in the period 1959–2009. However, a multi-temporal trend analysis, with varying starting and ending years, showed that trend signs depended on the period considered. Flood oscillations could influence the results, especially when flood-rich and flood-poor periods are located at the beginning or end of the series. In Spain, a flood- rich period in 1950–1970 seemed to lead to the generalised decreasing trend, as it was located at the beginning of the flood series. Nevertheless, the multi-temporal test can only find potential flood- rich and flood-poor periods qualitatively. A methodology has been developed to identify statistically significant flood-rich and flood-poor periods. The expected variability of floods under the stationarity assumption is compared with the variability of floods in observed flood series. The methodology is applied to the longest streamflow series available in Spain. Seven gauging stations located in near-natural catchments, with continuous observations in the period 1942–2014, are selected. Both annual maximum and peak-over-threshold series are considered. Flood-rich and flood-poor periods in terms of flood magnitudes and the annual count of exceedances over a given threshold are identified. A flood-rich period in the beginning of the series and a flood-poor period at its end are identified in most of the selected sites. Accordingly, a flood-rich period placed at the beginning of the series, followed by a flood-poor period, influence the generalised decreasing trend in the flood series previously found in Spain.


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