A nonparametric model for stochastic generation of daily rainfall amounts

2003 ◽  
Vol 39 (12) ◽  
Author(s):  
Timothy I. Harrold ◽  
Ashish Sharma ◽  
Simon J. Sheather
Keyword(s):  
Daily Rainfall ◽  
Nonparametric Model ◽  
Stochastic Generation

scholarly journals Stochastic Generation of Daily Rainfall, in Kavala City Station, North-Eastern Greece

2016 ◽  
Vol 162 ◽  
pp. 162-171 ◽  
Author(s):  
Thomas Papalaskaris ◽  
Theologos Panagiotidis ◽  
Sotirios Papadopoulos ◽  
Athanasios Pantrakis
Keyword(s):  
Daily Rainfall ◽  
Stochastic Generation ◽  
North Eastern

Spatial interpolation of daily rainfall stochastic generation parameters over East Africa

2014 ◽  
Vol 59 (1) ◽  
pp. 39-60 ◽  
Author(s):  
P Camberlin ◽  
W Gitau ◽  
P Oettli ◽  
L Ogallo ◽  
B Bois
Keyword(s):  
East Africa ◽  
Spatial Interpolation ◽  
Daily Rainfall ◽  
Stochastic Generation

A nested multisite daily rainfall stochastic generation model

2009 ◽  
Vol 371 (1-4) ◽  
pp. 142-153 ◽  
Author(s):  
Ratnasingham (Sri) Srikanthan ◽  
Geoffrey G.S. Pegram
Keyword(s):  
Daily Rainfall ◽  
Generation Model ◽  
Stochastic Generation

Penentuan Metode Intensitas Hujan Berdasarkan Karakteristik Hujan dari Stasiun Pengamat Hujan Disekitar Kecamatan Karawang Timur

2019 ◽  
Vol 5 (1) ◽  
Author(s):  
Melisa Permatasari ◽  
M. Candra Nugraha ◽  
Etih Hartati
Keyword(s):  
Drainage System ◽  
Daily Rainfall ◽  
Intensity Analysis ◽  
Rain Intensity ◽  
Rainy Period ◽  
Discharge Plan ◽  
Calculation Results ◽  
Value Determination ◽  
Maximum Daily Rainfall ◽  
Method Approach

<p>The rain intensity is the high rainfall in unit of time. The length of rain will be reversed by the amount rain intensity. The shorter time the rain lasts, the greater of the intensity and re-period of its rain. The value of rain intensity is required to calculate the flood discharge plan on the drainage system planning area in East Karawang district. Determining the value rain intensity is required the maximum daily rainfall data obtained from the main observer stations in the Plawad station planning area. The method of determination rain intensity analysis can be done with three methods: Van Breen, Bell Tanimoto and Hasper der Weduwen. Selected method is based on the smallest deviation value. Determination deviation value is determined by comparing rain intensity value of Van Breen method, Bell Tanimoto, Hasper der Weduwen. By comparing rain intensity value of the Van Breen method, Bell Tanimoto, Hasper der Weduwen with the results of calculating three methods through the method approach Talbot, Sherman and Ishiguro. Calculation results show that the method of rain has smallest deviation standard is method Van Breen with Talbot approach for rainy period (PUH) 2, 5, 10, 25, 50 and 100 years.</p>

The Influence of Geographical Factors on Extreme Rainfalls in Lampung Province

2019 ◽  
Vol 1 (1) ◽  
pp. 33
Author(s):  
M Welly
Keyword(s):  
Geographical Location ◽  
Daily Rainfall ◽  
Extreme Rainfall ◽  
Design Flood ◽  
Extreme Rainfall Events ◽  
Rainfall Events ◽  
Ungauged Basin ◽  
Flood Discharge ◽  
Design Rainfall ◽  
Geographical Factors

Many people in Indonesia calculate design rainfall before calculating the design flooddischarge. The design rainfall with a certain return period will eventually be convertedinto a design flood discharge by combining it with the characteristics of the watershed.However, the lack of a network of rainfall recording stations makes many areas that arenot hydrologically measured (ungauged basin), so it is quite difficult to know thecharacteristics of rain in the area concerned. This study aims to analyze thecharacteristics of design rainfall in Lampung Province. The focus of the analysis is toinvestigate whether geographical factors influence the design rainfall that occurs in theparticular area. The data used in this study is daily rainfall data from 15 rainfallrecording stations spread in Lampung Province. The method of frequency analysis usedin this study is the Gumbel method. The research shows that the geographical location ofan area does not have significant effect on extreme rainfall events. The effect of risingearth temperatures due to natural exploitation by humans tends to be stronger as a causeof extreme events such as extreme rainfall.Keywords: Influence, geographical, factors, extreme, rainfall.

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