Volume 38 (2024)
Volume 37 (2023)
Volume 36 (2022)
Volume 35 (2021)
Volume 34 (2020)
Volume 33 (2019)
Volume 32 (2018)
Volume 31 (2017)
Volume 30 (2016)
Volume 29 (2015)
Volume 28 (2014)
Volume 27 (2013)
Volume 26 (2012)
Volume 25 (2011)
Volume 24 (2010)
Volume 23 (2009)
Volume 22 (2008)
Irrigation
Environmental Flow Assessment of Karun River in Upstream and Downstream of Beheshtabad Dam

F. Hayatgheibi; N. Shahnoushi; B. Ghahreman; H. Samadi; M. Ghorbani; Mahmood Sabouhi

Volume 35, Issue 3 , July and August 2021, , Pages 319-333

https://doi.org/10.22067/jsw.2021.67064.0

Abstract
  Introduction: The development of water resources in many cases has led to increased economic welfare, improved living and health standards, food production, etc. However, in some cases due to the insufficient attention to all aspects of these projects, the irreparable environmental effects and subsequent ...  Read More

Evaluation and Separation between Urban Heat Island and Global Warming in Mashhad Region

H. Bondar; Mohammad Mousavi baygi; B. Ghahraman

Volume 35, Issue 1 , March and April 2021, , Pages 137-151

https://doi.org/10.22067/jsw.2020.14683.0

Abstract
  Introduction: In arid and semi-arid regions such as Iran, water is the most important limiting factor in economic development, and its management is of high importance. In recent years, due to irrigation expansion, low productivity in agricultural sector, and the rainfall shortage, water resources have ...  Read More

Application of Space-time Geostatistics on Drought Monitoring in Northeast of Iran

Mahsa Sameti; Seied Hosein Sanaei-Nejad; Firoozeh Rivaz; Bijan Ghahraman

Volume 33, Issue 5 , November and December 2020, , Pages 779-793

https://doi.org/10.22067/jsw.v33i5.73766

Abstract
    Introduction: Drought is a very complex natural phenomenon which changes with time and space. Spatial and temporal variations of drought are analyzed separately. Geostatistical methods can be used for spatiotemporal analyses to find related spatial and temporal pattern changes. These methods, ...  Read More

Imputation of Missing Meteorological Data with Evolutionary and Machine Learning Methods Case Study: Long-term Monthly Precipitation and Temperature of Mashhad

mahboobeh farzandi; Seyed Hossein Sanaeinejad; Bijan Ghahraman; Majid Sarmad

Volume 33, Issue 2 , May and June 2019, , Pages 361-377

https://doi.org/10.22067/jsw.v33i2.74125

Abstract
    Introduction: Temperature and precipitation are two of the main variables in meteorology and climatology. These are basic inputs in water resource management. The length of the statistical period plays a pivotal role in the accurate analysis of these variables. Observation data at Iran's first ...  Read More

Computation of Evaporation (Stages 1 and 2) from a Bare Saline Soil

mahdi selahvarzi; B. Ghahraman; H. Ansari; K. Davari

Volume 32, Issue 2 , May and June 2018, , Pages 229-237

https://doi.org/10.22067/jsw.v32i2.31830

Abstract
  Introduction: Evaporation takes place from vegetation cover, from bare soil, or water bodies. In the absence of a vegetation cover, soil surface is exposed to atmosphere which increases the rate of evaporation. Evaporation of soil moisture will not only lead to water losses but also increase the risk ...  Read More

Effect of Geological Feature on Regional Flood Frequency of Watersheds of North-East of Iran

tayebe taherpour; bijan Ghahraman2; kamran davary

Volume 31, Issue 6 , January and February 2018, , Pages 1526-1537

https://doi.org/10.22067/jsw.v31i6.28972

Abstract
  Introduction: Finding out homogeneous watersheds based on their flood potential mechanisms, is needed for conducting regional flood frequency analysis. Similarity of watersheds based on flood potential severity depends on many factors such as physiographic and meteorological features of the watershed, ...  Read More

The Effect of Different Approaches of Distance Between Two Sets on Fractal Downscaling of Temperature in Mashhad

shima tajabadi; Bijan Ghahraman; Ali Naghi Ziaei

Volume 31, Issue 1 , March and April 2017, , Pages 331-344

https://doi.org/10.22067/jsw.v31i1.52049

Abstract
  Introduction: The range of meteorological parameters, such as temperature, are different at different scales. Fractal geometry is a branch of mathematics that has many applications in the field of discrete and continuous domains. Downscaling may be done by different methods, including univariate, multivariate ...  Read More

Identification of Homogeneous Stations for Quality Monitoring Network of Mashhad Aquifer Based on Nitrate Pollution

Moslem Akbarzadeh; Bijan Ghahraman; Kamran Davary

Volume 30, Issue 5 , November and December 2016, , Pages 1382-1393

https://doi.org/10.22067/jsw.v0i0.44678

Abstract
  Introduction: For water resources monitoring, Evaluation of groundwater quality obtained via detailed analysis of pollution data. The most fundamental analysis is to identify the exact measurement of dangerous zones and homogenous station identification in terms of pollution. In case of quality evaluation, ...  Read More

Evaluation of the Performance of ClimGen and LARS-WG models in generating rainfall and temperature time series in rainfed research station of Sisab, Northern Khorasan

najmeh khalili; Kamran Davary; Amin Alizadeh; Hossein Ansari; Hojat Rezaee Pazhand; Mohammad Kafi; Bijan Ghahraman

Volume 30, Issue 1 , March and April 2016, , Pages 322-333

https://doi.org/10.22067/jsw.v30i1.45058

Abstract
  Introduction:Many existing results on water and agriculture researches require long-term statistical climate data, while practically; the available collected data in synoptic stations are quite short. Therefore, the required daily climate data should be generated based on the limited available data. ...  Read More

Development and application of the Qausi Distributed Water Balance model (QDWB) in the Neishaboor-Rokh watershed

sajjad razavi; kamran davary; Bijan Ghahraman; Ali Naghi Ziaei; azizallah izady; kazem esahgian; mehri shahedy; fatemeh taleby

Volume 30, Issue 6 , January and February 2016, , Pages 1888-1904

https://doi.org/10.22067/jsw.v30i6.47416

Abstract
  Limitation of water resources in Iran motivates sustaining and preserving of the resources in order to supply future water needs. Fulfilling these objectives will not be possible unless having accurate water balance of watersheds. The purpose of this study is to estimate the water balance parameters ...  Read More

Uncertainty Analysis in Prediction of Soil Water Balance Components in two Irrigated Field in Arid Region

M. Shafiei; B. Ghahraman; B. Saghafian; K. Davary; M. Vazifedust

Volume 28, Issue 5 , November and December 2015, , Pages 909-917

https://doi.org/10.22067/jsw.v0i0.29617

Abstract
  Uncertainty analysis is a useful tool to evaluate soil water simulations in order to get more information about the models output. These information provide more confidence for decision making processes. In this study, SWAP model is applied for soil water balance simulations in two fields which are planted ...  Read More

Using Hierarchical Clustering in Order to Increase Efficiency of Self-Organizing Feature Map to Identify Hydrological Homogeneous Regions for Flood Estimation

F. Farsadnia; B. Ghahreman

Volume 29, Issue 5 , November and December 2015, , Pages 1207-1218

https://doi.org/10.22067/jsw.v29i5.34143

Abstract
  Introduction: Hydrologic homogeneous group identification is considered both fundamental and applied research in hydrology. Clustering methods are among conventional methods to assess the hydrological homogeneous regions. Recently, Self Organizing feature Map (SOM) method has been applied in some studies. ...  Read More

Combined Effects of Numerical Method Type and Time Step on Water Stressed Actual Crop ET

B. Ghahraman

Volume 29, Issue 4 , September and October 2015, , Pages 776-786

https://doi.org/10.22067/jsw.v0i0.20585

Abstract
  Introduction: Actual crop evapotranspiration (Eta) is important in hydrologic modeling and irrigation water management issues. Actual ET depends on an estimation of a water stress index and average soil water at crop root zone, and so depends on a chosen numerical method and adapted time step. During ...  Read More

Estimating Soil Water Retention Curve Using The Particle Size Distribution Based on Fractal Approach

M.M. Chari; B. Ghahraman; K. Davary; A. A. Khoshnood Yazdi

Volume 29, Issue 3 , July and August 2015, , Pages 604-614

https://doi.org/10.22067/jsw.v0i0.34661

Abstract
  Introduction: Water and soil retention curve is one of the most important properties of porous media to obtain in a laboratory retention curve and time associated with errors. For this reason, researchers have proposed techniques that help them to more easily acquired characteristic curve. One of these ...  Read More

Validation of AquaCrop Model for Simulation of Winter Wheat Yield and Water Use Efficiency under Simultaneous Salinity and Water Stress

M. Mohammadi; B. Ghahraman; K. Davary; H. Ansari; A. Shahidi

Volume 29, Issue 1 , March and April 2015, , Pages 67-84

https://doi.org/10.22067/jsw.v0i0.31304

Abstract
  Introduction: FAO AquaCrop model (Raes et al., 2009a; Steduto et al., 2009) is a user-friendly and practitioner oriented type of model, because it maintains an optimal balance between accuracy, robustness, and simplicity; and it requires a relatively small number of model input parameters. The FAO AquaCrop ...  Read More

Spatiao – Temporal Evaluation and Comparison of MM5 Model using Similarity Algorithm

N. Siabi; S.H. Sanaeinejad; B. Ghahraman

Volume 29, Issue 1 , March and April 2015, , Pages 225-238

https://doi.org/10.22067/jsw.v0i0.27442

Abstract
  Introduction temporal and spatial change of meteorological and environmental variables is very important. These changes can be predicted by numerical prediction models over time and in different locations and can be provided as spatial zoning maps with interpolation methods such as geostatistics (16, ...  Read More

Sensitivity Analysis of ETo for Five Current Models Using Monte-Carlo Simulation Case study: Bojnourd Synoptic Station

M. Makari; B. Ghahraman; S.H. Sanaeinejad

Volume 28, Issue 6 , January and February 2015, , Pages 1126-1136

https://doi.org/10.22067/jsw.v0i0.27969

Abstract
  The objective of this study is to analyze the sensitivity of ETo for five models including FAO-Penman-Monteith, modified Blaney-Criddle, Hargreaves, Hargreaves-Samani and Priestley –Taylor. Daily meteorological data of Bojnourd synoptic station including air temperature, relative humidity, actual duration ...  Read More

Modeling and Prediction of Monthly Max & MinTemperatures of Mashhad Plain Using Time Series Models

B. Shabani; M. Mousavi Baygi; Mehdi Jabbari Nooghabi; B. Ghareman

Volume 27, Issue 5 , November and December 2014, , Pages 896-906

https://doi.org/10.22067/jsw.v0i0.31183

Abstract
  Nowadays, modeling and prediction of climatic parameters due to climate change, global warming and the recent droughts is inevitable. Maximum and minimum temperatures are including climatic parameters that are important in water resources management and agriculture. In order to model the maximum and ...  Read More

Adopting Hierarchial Cluster Analysis to Improve The Performance of K-mean Algorithm

B. Ghahraman; K. Davary

Volume 28, Issue 3 , July and August 2014, , Pages 471-480

https://doi.org/10.22067/jsw.v0i0.20583

Abstract
  Due to inadequate flood data it is not always possible to fit a frequency analysis to at-site stations. Reliable results are not always guaranteed by a single clustering algorithm, so a combination of methods may be used. In this research, we considered three clustering algorithms: single linkge, complete ...  Read More

Estimating Reference Evapotranspiration by Using Principal Component Analysis (PCA) and The Development of a Regression Model (MLR-PCA) (Case Study: Mashhad Station)

nona sheikholeslami

Volume 28, Issue 2 , May and June 2014, , Pages 420-429

https://doi.org/10.22067/jsw.v0i0.25711

Abstract
  Evapotranspiration is one of the most important parameters that its understanding is necessary for estimating crop water requirement and design of irrigation systems. This phenomenon is greatly influenced by climatic parameters. In this study, the relative importance of variables affecting this phenomenon ...  Read More

Optimal Interpolation of Daily Rainfall Equations with Fuzzy Theory and Genetic Algorithms in Mashhad Plain Basin

nafise seyednezhad; Seied Hosein Sanaei-Nejad; B. Ghahraman; H. Rezaee Pazhand

Volume 28, Issue 1 , March and April 2014, , Pages 1-9

https://doi.org/10.22067/jsw.v0i0.35726

Abstract
  Regional analysis, estimating missing values, areal rainfall, estimating PMP and rainfall- runoff models in daily scale are essential in water resources and climatological researches. Modified inverse distance interpolation method based on Fuzzy Mathematics (MIDW-F) is a new, efficient method and independent ...  Read More

Using Fractal Interpolation Functions for Temporal Downscaling of Temperature Data

N. Validi; Alinaghi Ziaei; B. Ghahraman; H. Ansari

Volume 27, Issue 6 , January and February 2014, , Pages 1123-1132

https://doi.org/10.22067/jsw.v0i0.33119

Abstract
  For optimal management of a catchment, the time and space downscaling of hydrological properties is essential. To achieve accurate energy and water budget equations in every time or space resolution, spatial and temporal downscaled information of water budget's components are used. The fractal geometry ...  Read More

Performance of some Different Methods of Computing Hurst Exponent for Climatological Time Series

B. Ghahraman

Volume 27, Issue 4 , September and October 2013, , Pages 850-859

https://doi.org/10.22067/jsw.v0i0.28207

Abstract
  Fractional Gaussian noise (fGn) is an important and widely used self-similar process, which is mainly parametrized by its Hurst exponent (H) to specify its long-term persistence (LTP). Many researchers have proposed methods for estimating the Hurst exponent of fGn. But there is only a few researches ...  Read More

Approximate Solutions to Richards’ Equation for Soil Water Infiltration Using Scaling

M. Sadeghi; B. Ghahraman; A.N. Ziaei; K. Davary

Volume 27, Issue 3 , July and August 2013, , Pages 525-536

https://doi.org/10.22067/jsw.v0i0.26045

Abstract
  After introducing similar media theory, many scaling methods were developed and have been widely used to cope with soil variability problem as well as to achieve invariant solutions of Richards’ equation. Recently, a method was developed for scaling Richards’ equation (RE) for dissimilar soils such ...  Read More

A Combined Strategy of Entropy and Spatio-Temporal Kriging in Determining Optimal Network for Groundwater Quality Monitoring of Mashhad Basin

M. Akbarzadeh; B. Ghahraman

Volume 27, Issue 3 , July and August 2013, , Pages 613-629

https://doi.org/10.22067/jsw.v0i0.26089

Abstract
  In geo-statistics, prediction of an unknown value of random field has been performed in specified time and position, using spatio-temporal Kriging. In some circumstances, a suitable covariate increase the estimation prediction. Geo-statistical methods of Universal Kriging (UK) and Kriging with External ...  Read More