Volume 75 (2022)
Volume 74 (2021)
Volume 73 (2020)
Volume 72 (2019)
Volume 71 (2018)
Volume 70 (2017)
Volume 69 (2016)
Volume 68 (2015)
Volume 67 (2014)
Volume 66 (2013)
Volume 65 (2012)
Volume 63 (2010)
Volume 62 (2009)
Flood Forecasting Using Artificial Neural Networks and Nonlinear Multivariate Regression (Case Study: Taleghan Watershed)

Maryam Khosravi; Ali Salajegheh; Mohammad Mahdavi; Mohsen Mohseni Saravi

Volume 65, Issue 3 , December 2012, , Pages 341-349


  It is necessary to use empirical models for estimating of instantaneous peak discharge because of deficit of gauging stations in the country. Hence, at present study, two models including Artificial Neural Networks and nonlinear multivariate regression were used to predict peak discharge in Taleghan ...  Read More

Assesment of the Standard Index of Annual Precipitation,Standardized Precipitation Index and Palmer Drought Severity Index in the Rangelands of Qom Province

Maryam Azarakhshi; Behnoush Farokhzadeh; Mohammad Mahdavi; Hossein Arzani; Hassan Ahmadi

Volume 65, Issue 2 , September 2012, , Pages 159-174


  Iran is located in dry belt of the earth and always involved with drought in different sections. Drought has already caused many losses to natural plant cover, agriculture and human society. For drought monitoring, we can use some drought indecies. In this research, the Standard Index of Annual Precipitation)SIAP),Sandardized ...  Read More

Comparison of Regional Flood Analysis Methods in Central Alborz Region

v Payravand; ali Salajegheh; mohamad Mahdavi; mohamad ali Zare Chahouki

Volume 63, Issue 2 , September 2010, , Pages 131-18

  One of the most appropriate approaches for flood forecasting is using peak discharge data of hydrometric stations in each region. However, lack of such stations or short duration of data in most parts of the country, make it necessary to use some alternative methods in order to estimate the flood discharge ...  Read More

Calibration of data from Class A pan with Thornthwaite method in arid regions of Iran

A. Afzali; M. Mahdavi; M. A. Zare Chahoki

Volume 62, Issue 2 , October 2009, , Pages 187-196

  The most precise and simple method of evaporation measurement is application of pans in which class A pan is used in Iran. In contrast, there are many empirical methods which are used for estimating the evapotraspiration. In this study, Thornthwaite method was used due to the simplicity of its parameters ...  Read More

Modeling river suspended load using fuzzy logic approach (Case study: Zanjanroud Basin)

B. Motamedvaziri; H. Ahmadi; M. Mahdavi; F. Sharifi; N. Javaheri

Volume 62, Issue 2 , October 2009, , Pages 283-298

  Estimation of river sediment load is one of the most important issues in design of hydraulic structures, investigating water quality, conserving fish habitat, estimating erosion and determining watershed management effects. There are two methods for estimating sediment load: empirical and hydrological ...  Read More

Determining Origin of groundwater recharge resources, drought and wet periods by isotopic tracers in Hashtgerd plain

H. Saadati; F. Sharifi; M. Mahdavi; H. Ahmadi; M. Mohseni Saravi

Volume 62, Issue 1 , June 2009

  The main structure of this study includes; isotopic tracer evaluation and measuring, to identify and origin of groundwater recharge, contributions determine of diffused recharge (DR) and concentrated recharge (CR) as well as determine drought and wet periods in Hashtgerd plain. The hydrochemical study ...  Read More

Investigation on the efficiency of neuro-fuzzy method and statistical models in simulation of rainfall-runoff process

A. Salajegheh; A. Fathabadi; M. Mahdavi

Volume 62, Issue 1 , June 2009

  Rainfall-runoff is one of complex hydrological processes that is affected by a variety of physical and hydrological factors. In this study statistical method ARMAX model, neural network, neuro-fuzzy (ANFIS subtractive clustering and grid partition) and two hybrid models of this methods were used to simulate ...  Read More

A comparison of degree-day and radiation base of Snowmelt Runoff Model (SRM)

A. Fathzadeh; M. Mahdavi; R.C. Bales; A. A. Abkar; Askari Shirazi

Volume 62, Issue 1 , June 2009

  In highland watersheds, runoff generated by snow melting plays an important role in stream water supply. SRM (Snowmelt Runoff Model) is a hydrologic model which simulates and predicts daily flow in mountain watersheds dominated by snow melting process. The SRM is based on the degree-day procedure which, ...  Read More