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