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

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