Probabilistic Modelling of Hourly Rainfall Data for Development of Intensity-Duration-Frequency Relationships | Zendy

N. Vivekanandan | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Probabilistic Modelling of Hourly Rainfall Data for Development of Intensity-Duration-Frequency Relationships

Author(s) -

N. Vivekanandan

Publication year - 2012

Publication title -

bonfring international journal of data mining

Language(s) - English

Resource type - Journals

eISSN - 2277-5048

pISSN - 2250-107X

DOI - 10.9756/bijdm.10084

Subject(s) - duration (music) , return period , environmental science , gumbel distribution , intensity (physics) , statistics , climatology , meteorology , mathematics , geography , extreme value theory , geology , physics , quantum mechanics , art , literature , archaeology , flood myth

The rainfall Intensity-Duration-Frequency (IDF) relationship is commonly required for planning and designing of various water resources projects. The IDF relationship is a mathematical relationship between the rainfall intensity, duration and return period. This relationship is determined through statistical analysis of recorded rainfall data. In this paper, annual n-hourly maximum rainfall for different duration of 'n' such as 1-hour (hr), 2-hr, 3-hr, 6-hr, 12-hr, 18-hr, 24-hr, 48-hr and 72-hr are extracted from hourly rainfall data recorded at Kalingapatnam and Hissar; and further used for estimation of rainfall for different return periods. Order statistics approach is applied for determination of estimators of Gumbel distribution. Regional IDF relationships to estimate rainfall intensity for different return periods for Hissar and Kalingapatnam regions are developed and presented in the paper

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research