On the consideration of scaling properties of extreme rainfall in Madrid (Spain) for developing a generalized intensity-duration-frequency equation and assessing probable maximum precipitation estimates

Storm separation is a key step when carrying out storm transposition analysis for Probable Maximum Precipitation (PMP) estimation in mountainous areas. The World Meteorological Organization (WMO) has recommended the step-duration-orographic-intensification-factor (SDOIF) method since 2009 as an effective storm separation technique to identify the amounts of precipitation caused by topography from those caused by atmospheric dynamics. The orographic intensification factors (OIFs) are usually developed based on annual maximum rainfall series under such assumption that the mechanism of annual maximum rainfalls is close to that of the PMP-level rainfall. In this paper, an alternative storm separation technique using rainfall quantiles, instead of annual maximum rainfalls, with rare return periods estimated via Regional L-moments Analysis (RLMA) to calculate the OIFs is proposed. Based on Taiwan’s historical 4- and 24-h precipitation data, comparisons of the OIFs obtained from annual maximum rainfalls with that from extreme rainfall quantiles at different return periods, as well as the PMP estimates of Hong Kong from transposing the different corresponding separated nonorographic rainfalls, were conducted. The results show that the OIFs obtained from rainfall quantiles with certain rare probabilities are more stable and reasonable in terms of stability and spatial distribution pattern.

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Assessing of IDF curves for hydrological design by simple scaling of 1-day precipitation totals

Slovak Journal of Civil Engineering ◽

10.2478/v10189-010-0010-8 ◽

2010 ◽

Vol 18 (3) ◽

pp. 1-6 ◽

Cited By ~ 2

Author(s):

M. Bara ◽

S. Kohnová ◽

J. Szolgay ◽

L. Gaál ◽

K. Hlavčová

Keyword(s):

Extreme Rainfall ◽

Meteorological Station ◽

Short Term ◽

Scaling Properties ◽

Daily Data ◽

Design Values ◽

Simple Scaling ◽

Recurrence Intervals ◽

Idf Curves ◽

Intensity Duration Frequency

Assessing of IDF curves for hydrological design by simple scaling of 1-day precipitation totalsIn this paper the scaling properties of short term extreme rainfall in Slovakia were investigated. The simple scaling theory was applied to the intensity-duration-frequency (IDF) characteristics of a short duration rainfall. This method allows for the estimation of the design values of rainfall of selected recurrence intervals and durations shorter than a day by using only the daily data. The scaling behavior of rainfall intensities was examined, and the possibility of using simple scaling in Slovakia was verified. The methodology for the simple scaling of rainfall is demonstrated using an example of the meteorological station in Ilava.

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1 to 10 days extreme rainfall studies for Kerala state

MAUSAM ◽

10.54302/mausam.v46i2.3225 ◽

2022 ◽

Vol 46 (2) ◽

pp. 175-180

Author(s):

S. A. SASEENDRAN ◽

K. K. SINGH ◽

J. BAHADUR ◽

O. N. DHAR

Keyword(s):

Extreme Precipitation ◽

Daily Rainfall ◽

Extreme Rainfall ◽

Statistical Technique ◽

Rainfall Data ◽

Hydraulic Structures ◽

Annual Maximum ◽

Probable Maximum Precipitation ◽

Maximum Precipitation ◽

Kerala State

The daily rainfall data for 80 years from 98 stations in Kerala region have been analysed to arrive at the Probable Maximum Precipitation (PMP) estimates for rainfall durations or 1 to 10 days. Hershfield's statistical technique has been adopted for the estimation of PMP from annual maximum data. The study will be useful in the estimation of extreme precipitation for computation of design floods, required for design of spillways of dams and other major hydraulic structures in the Kerala state.

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Estimation of probable maximum precipitation for tropical catchment

MATEC Web of Conferences ◽

10.1051/matecconf/201816203012 ◽

2018 ◽

Vol 162 ◽

pp. 03012 ◽

Cited By ~ 2

Author(s):

Saad Sammen ◽

Thamer Mohamed ◽

Abd Alhalim Ghazali ◽

Lariyah Sideq ◽

Azlan Abdul Aziz

Keyword(s):

Return Period ◽

Statistical Approach ◽

Extreme Rainfall ◽

Physical Method ◽

Hydraulic Structures ◽

Probable Maximum Precipitation ◽

Maximum Precipitation ◽

Storm Duration ◽

Probable Maximum Flood

Probable Maximum Precipitation (PMP) is the maximum precipitation depth for specific region or station within a certain time. The main purpose of PMP estimation is calculate the Probable Maximum Flood (PMF). The PMF is considered necessary for design and manage the hydraulic structures. PMP can be estimate using two methods, either using a physical method or by using statistical method. In this study, statistical approach was used to estimate the PMP for Temengor catchment in Perak state, Malaysia. Extreme value type-1 distribution (EV1) is adopted to estimate the extreme rainfall and Hershfeid method was used to estimate PMP value. Also, intensity duration curve (IDC) was derived for 1, 2 and 3 days storm duration with return period 5, 10, 50, 100, 500 years. The results showed that the values of PMP for 1000 return period are 222.361mm, 311.847mm and 348.307mm for 1, 2 and 3 days respectively.

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