Water and Irrigation Management

Water and Irrigation Management

Journal of Water and Irrigation Management has a scientific-research validity (letter number: 159727/3, dated 2012.8.23 of the Commission of Scientific Publications, Ministry of Science, Research and Technology, Iran), which is publishing since spring of 2011. In this journal, basic, applied and developmental researches in the field of water resources management (surface and groundwater), agricultural water supply or demand management, field water management, irrigation and drainage networks management and surface runoff management in the form of research articles are published in Persian with English abstract.

Journal of Water and Irrigation Management is fully “open access” journal, and all published articles are free to access immediately from the date of publication.

English title: Journal of Water and Irrigation Management

Frequency: Quarterly

The journal rank by the Ministry of Science, Research and Technology assessment in 2023: A

Peer review policy: Double-blind peer review

Language: Persian with English Abstract

Average time to first decision: Five weeks

Acceptance Rate: About 21%

Open Access Journal Support

 

According to international standards in writing scientific papers, the number of words in each paper must be between 6,000 and 6,500 words, and after page layout, it should be published in 20 pages. Therefore, if the authors insists on changing this standard, an additional cost of 500,000 Rials per page will be charged for publishing the paper.

Article Processing Charges: 6,000,000 Rials for Iranian Authors

All manuscripts are screened for plagiarism by the “Hamtajoo” plagiarism detection tool at the primary processing stage. Manuscripts with plagiarism will be rejected.

Current Issue: Volume 16, Issue 2, Summer 2026, Pages 237-460 

Hydrological modeling of Tang-Sorkh Dam for control flood inflow to Yasuj city

Pages 393-410

Hossein Montaseri, hamid nejati, ahmad ayaseh, arash mosleh, hassan arjmand

Keywords Cloud

  • Water use efficiency
  • Deficit irrigation
  • climate change
  • yield
  • Groundwater
  • Evapotranspiration
  • water stress
  • Irrigation management
  • Water Productivity
  • Drip Irrigation
  • Machine learning
  • Sensitivity analysis
  • Surface irrigation
  • Drought stress
  • Water balance
  • Drought
  • Water requirement
  • Water management
  • remote sensing
  • simulation
  • Uncertainty
  • Water Resource Management
  • Evaluation
  • Water security
  • modeling
  • water resources
  • Irrigation
  • Nitrate
  • water resources management
  • Precipitation
  • Iran
  • Water Crisis
  • Support vector machine
  • Yield components
  • productivity
  • Runoff
  • Classification
  • evapotranspiration
  • Performance Evaluation
  • time series
  • Genetic Algorithm
  • management
  • Water quality
  • Sprinkler irrigation
  • Artificial Neural Network
  • Clustering
  • Canal
  • Application efficiency
  • maize
  • Water Accounting
  • Flood
  • Water
  • Grain yield
  • Numerical simulation
  • Greenhouse
  • Corn
  • Pollution
  • Energy
  • Sustainable Development
  • Basil
  • Advection-Dispersion Equation
  • Dissolved Oxygen
  • HEC-RAS
  • Unconventional water
  • Efficiency
  • subsurface Irrigation
  • Soil moisture
  • leaf area index
  • Sustainable agriculture
  • AHP
  • Deep learning
  • Downscaling
  • lysimeter
  • NSFWQI index
  • Water quality index
  • operation
  • Soil Salinity
  • Irrigation and drainage network
  • Vulnerability
  • Salinity stress
  • modernization
  • Ranking
  • Environmental Impact Assessment
  • Saturated hydraulic conductivity
  • Water deficit
  • Urmia Lake
  • Reference Evapotranspiration
  • GCM
  • Agriculture
  • Wind
  • Rainfall-runoff
  • water market
  • Furrow Irrigation
  • Chlorophyll
  • calibration
  • forecasting
  • fertigation
  • Inverse problem
  • CMIP6
  • Leaching
  • Water governance
  • Irrigation scheduling
  • SPI
  • crop coefficient
  • Irrigation network
  • temperature
  • integrated water resources management
  • effluent
  • Nonlinear model
  • tape irrigation
  • Particle Swarm Algorithm
  • Kriging
  • Water supply
  • Flood susceptibility
  • Flow hydraulic simulation
  • Criteria
  • Potential Efficiency
  • Copula Functions
  • Infiltration rate
  • Karun River
  • Hashtgerd aquifer
  • Performance
  • Artificial Neural Networks
  • Distribution and Transfer Losses
  • Leakage
  • uncertainty
  • GIS
  • Water depletion
  • Prediction
  • surface water
  • Vapor pressure deficit
  • Flow3D
  • HEC-HMS
  • Evaporation
  • Positive Mathematical Programming
  • irrigation systems
  • RCP2.6
  • Barley
  • CERES-Maize
  • Eutrophication
  • IRWQIsc index
  • Data Mining
  • Watershed
  • DSSAT
  • Artificial Intelligence
  • biochemical oxygen demand
  • Management Scenarios
  • Infrared thermometer
  • Groundwater management
  • Pressurized Irrigation
  • water balance equation
  • Aquifer Storage and Recovery
  • Missing data
  • Abshar Irrigation District
  • Replacement rate ratio
  • Automation
  • drainable lysimeter
  • Irrigation Method
  • ANFIS
  • small-scale
  • ANN
  • flood control
  • economic
  • irrigation efficiency
  • River bend
  • Entropy Theory
  • Crop Yield
  • Titicaca cultivar
  • SWAT
  • birjand
  • Shared water resources
  • Groundwater Modeling
  • Reconstruction of pollution source characteristics
  • Metric
  • Perlite
  • Hydraulic conductivity
  • sustainability
  • organic matter
  • RCP8.5
  • Optimal Operation
  • NSFWQI
  • model
  • Salt accumulation
  • Unsteady flow
  • FAO Penman-Monteith
  • Random forest
  • Stomatal conductance
  • Mann-Kendall
  • Multi-objective optimization
  • CCMEWQI
  • discharge
  • FLOW-3D model
  • SWAT Model
  • Controlled drainage
  • multivariate regression
  • agricultural water management
  • Autocorrelation
  • SWMM model
  • Cavitation
  • FLOW-3D