Volume 77 (2024)
Volume 76 (2023)
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)
Calibration and validation SWMM model in order to simulate urban runoff (Case Study: Imam Ali Town in Mashhad)

Shahram Khalighi Sigarodi; Mohammad Rostami Khalaj; Mohammad Mahdavi; Ali Salajegheh

Volume 68, Issue 3 , October 2015, , Pages 487-498

https://doi.org/10.22059/jrwm.2015.56133

Abstract
  Large impervious surfaces and man-made waterways are the characteristic of urban area. Increasing urbanization and rapid growth of cities in recent decades towards the upstream watershed, has been severely affected on rainfall-runoff processes in urban area. Therefore, to computer models in order to ...  Read More

Trend analysis of streamflow in Karkheh Rivers upstream: An evidence for climate change impacts on water resources systems

Khaled Osati; Ali Salajegheh; Mohammad Mahdavi; Paul Koeniger; Kamran Chapi; Arash Malekian

Volume 68, Issue 3 , October 2015, , Pages 659-674

https://doi.org/10.22059/jrwm.2015.56344

Abstract
  Within the climate change debate and its probable impacts on water resources systems, design and operation of management plans based on the assumption of stationary hydrology may cause serious challenge to accurately predict future supplies. Therefore this case study is trying to assess trend in hydroclimatic ...  Read More

Application of linear moment methods for Hershfild method (Case study Halilrud watershed)

farshad soleimani sardou; Ali Salagegh; Mahdie Sanjari; Ali Azare

Volume 68, Issue 1 , June 2015, , Pages 95-108

https://doi.org/10.22059/jrwm.2015.53886

Abstract
  Nowadays, designing hydraulic structures for flood damage mitigation has a significant importance in water engineering. One of the necessary parameters for the design of flood control measures is the probable maximum 24-hour precipitation in a 1000-year return period. This research was done using Jiroft ...  Read More

Effect of slope length on spatially variation of concentration

Ali Golkarian

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

https://doi.org/10.22059/jrwm.2015.53476

Abstract
  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

https://doi.org/10.22059/jrwm.2014.52835

Abstract
  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

https://doi.org/10.22059/jrwm.2014.52838

Abstract
  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

https://doi.org/10.22059/jrwm.2014.50026

Abstract
  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

https://doi.org/10.22059/jrwm.2013.36514

Abstract
  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

https://doi.org/10.22059/jrwm.2013.35576

Abstract
  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

https://doi.org/10.22059/jrwm.2012.32045

Abstract
  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

https://doi.org/10.22059/jrwm.2012.30022

Abstract
  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

Abstract
  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

Abstract
  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

Abstract
  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