Extraction of Intensity-Duration-Frequency Curves Using Fractal Theory and Evaluation of Climate Change on it (Case Study: Bushehr)
Climate change has caused changes in the frequency and magnitude of heavy rainfall, which affects the design standards of some hydrological structures (Yousef and Taha, 2015). Rainfall intensity-duration-frequency (IDF) curves are a standard tool for hydrological risk analysis and design (Mohymont, 2004; Veneziano, 2002). IDF curves show useful information about the occurrence of floods in an area and that in the future a certain amount of rainfall or a certain volume of flow will return again (Basumatary and Sil, 2018). Because the trend of severe rainfall events is expected to change in the future, this affects IDF curves, so these curves need to be updated (Srivastav et al. 2014). The need for such an understanding stems from the fact that existing drainage systems are designed to deal with past rainfall events and may not be sufficient to compensate for future rainfall characteristics (Shrestha et al. 2017). In developing countries such as Iran, the large country area as well as the shortage of rain gauge stations and/or the statistical period of the recorded data, makes it difficult to estimate IDF curves (Zamani Nouri, 2011).
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Estimation Missing Stream Flow Data of Hydrometric Gauge Using Support Vector Regression and Ensemble Kalman Filter (EnKF) Technique (Case Study: Upstream Zayandehrud Basin)
Alireza Kazemzadeh Varzaneh, *, Hossein Montaseri
Iran Water Resources Research, -
Production and Effect of Phosphoric Acid (H3PO4) on the Properties of Activated Carbon Obtained from Fig Wood
M. Khaze, M. Fazeli *, M. Ghaedi, A. S. Javanmard, Hakimeh Sharififard
Iranian Chemical Engineering Journal, -
Evaluation of Multivariate Rainfall Disaggregation Performance Using MuDRain Model (Case Study: North East of Hormozgan Province
, *
Amirkabir Journal of Civil Engineering, -
Investigating the trend of some climatic parameters in three south coast provinces of Iran, and identifying the areas most affected by climate change
, *, Mehdi Sharifzadeh
Journal of Climate Change Research,