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)
Effect of slope length on spatially variation of concentration

Ali Golkarian

Volume 67, Issue 4 , May 2015, , Pages 587-601


  Erosion is one of the important factors in soil degradation and decrease fertility and slope length is one of the most effective factors in land form and amount of erosion. The objective of this study was investigation of spatially variation of sediment concentration in slope length until to receive ...  Read More

Selection of the best empirical formula to estimate time of concentration in urban watersheds (Case study: Mahdasht town)

ali shahbazi; Shahram khaliqi sygarodi; Arash Malekian; Ali Salajegheh

Volume 67, Issue 3 , December 2014, , Pages 419-435


  In order to decrease the risks associated with the management of urban watersheds, the use of proper methods is an essential task to estimate the runoff with a high degree of confidence. Time of concentration is one of factors that impacts on peak discharge and runoff volume. The objective of this study ...  Read More

Comparisons of different models for landslide susceptibility mapping in Zangvan watershed, Ilam province

Haji Karimi; Fathollah Naderi; Behrooz Naseri; Ali Salajeqeh

Volume 67, Issue 3 , December 2014, , Pages 459-485


  Distinguishing the susceptible areas to landslide using different landslide susceptibility mapping (LSM) models is one of the primitive and basic works to reduce probable damages and reduce risk. The main purpose of this research is the efficiency evaluation of four methods including Information value ...  Read More

Comparison of stochastic models and conceptual models in hydrological drought forecast (case study: Karkheh River Basin)

Ommolbanin Bazrafshan; Ali Salajegheh; Ahmad Fatehi; Abolghasem Mahdavi; Javad Bazrafshan; Somayeh Hejabi

Volume 66, Issue 4 , March 2014, , Pages 493-508


  Drought is random and nonlinear phenomenon and using linear stochastic models, nonlinear artificial neural network and hybrid models is advantaged for drought forecasting. This paper presents the performances of autoregressive integrated moving average (ARIMA), Direct multi-step neural network (DMSNN), ...  Read More

Effects of land use changes on flood characteristics using HEC-HMS model (Case study: Taleghan watershed)

Samaneh Razavizadeh; Ali Salajegheh; Shahram Khalighi Sigaroudi; Mohammad Jafari

Volume 66, Issue 3 , November 2013, , Pages 373-386


  Land use change is one of the main factors in the process of changing the regime of flood in watersheds. Taleghan watershed has been subjected to many land use changes over years, which probably effects on flood characteristics of Taleghan River. In present study the effects of land use change on some ...  Read More

Regional flow duration curve in arid regions for ungauged basins (Case study: Central Iran)

Asghar Zare Chahouki; Ali Salajegheh; Mohammad Mahdavi; Sharam Khalighi; Said Asadi

Volume 66, Issue 2 , July 2013, , Pages 251-265


  A flow-duration curve (FDC) illustrates the relationship between the frequency and magnitude of streamflow. Applications of FDC are of interest for many hydrological problems related to hydropower generation, river and reservoir sedimentation, water quality assessment, water-use assessment, water allocation ...  Read More

Spatial variation of nitrate concentrations in groundwater by Geostatistics (Case Study: Kurdan Plain)

Kh. Osati; A. Salajegheh; S. Arekhi

Volume 65, Issue 4 , March 2013, , Pages 461-472


  Spatiality assessment of groundwater pollution is very important to determine water quality condition, pollution sources and management decisions. In this case, GIS and geostatistics methods can be useful tools. Spatiality of groundwater quality parameters, in relation with various land uses, can be ...  Read More

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

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

Estimation of the suspended sediment loud of Karaj River using fuzzy logic and neural networks

A. Salajegheh; A. Fathabadi

Volume 62, Issue 2 , October 2009, , Pages 271-282

  Correct estimation of suspended sediment transported by a river is an important practice in water structure design, environmental problems and water quality issues. Conventionally, sediment rating curve used for suspended sediment estimation in rivers. In this method discharge and sediment discharge ...  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