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
  • Drought stress
  • Surface irrigation
  • Sensitivity analysis
  • Water balance
  • Drought
  • Machine learning
  • Uncertainty
  • remote sensing
  • Water Resource Management
  • Water management
  • Water requirement
  • simulation
  • Nitrate
  • water resources
  • Iran
  • modeling
  • water resources management
  • Water security
  • Irrigation
  • Performance Evaluation
  • Water Crisis
  • Genetic Algorithm
  • Precipitation
  • Runoff
  • Evaluation
  • Support vector machine
  • Yield components
  • productivity
  • Water quality
  • evapotranspiration
  • Classification
  • time series
  • Basil
  • Artificial Neural Network
  • Canal
  • Corn
  • Advection-Dispersion Equation
  • Flood
  • Water
  • Greenhouse
  • Grain yield
  • Pollution
  • Efficiency
  • Application efficiency
  • Dissolved Oxygen
  • Unconventional water
  • Clustering
  • Sprinkler irrigation
  • Numerical simulation
  • Sustainable Development
  • Energy
  • Water Accounting
  • management
  • HEC-RAS
  • maize
  • operation
  • GCM
  • Saturated hydraulic conductivity
  • water market
  • Soil Salinity
  • forecasting
  • integrated water resources management
  • Inverse problem
  • temperature
  • Sustainable agriculture
  • Irrigation network
  • leaf area index
  • Downscaling
  • subsurface Irrigation
  • Irrigation scheduling
  • Irrigation and drainage network
  • AHP
  • CMIP6
  • SPI
  • crop coefficient
  • Soil moisture
  • calibration
  • Leaching
  • Rainfall-runoff
  • modernization
  • Furrow Irrigation
  • Ranking
  • Urmia Lake
  • Reference Evapotranspiration
  • Water governance
  • Chlorophyll
  • Agriculture
  • Water quality index
  • fertigation
  • Salinity stress
  • Water deficit
  • lysimeter
  • NSFWQI index
  • Wind
  • Vulnerability
  • Coefficient of determination
  • IRWQIsc index
  • single irrigation
  • multivariate regression
  • RCP8.5
  • Soil Texture
  • spectral indices
  • Groundwater Resources
  • Hydraulic conductivity
  • NSFWQI
  • Multi-objective optimization
  • birjand
  • olive
  • Meteorological data
  • salinity of irrigation water
  • Mann-Kendall
  • groundwater
  • Optimal Operation
  • irrigation systems
  • Flow hydraulic simulation
  • Perlite
  • AOGCM models
  • Barley
  • Autocorrelation
  • FLOW-3D
  • Geographic Information System
  • hydrodynamic model
  • medicinal plants
  • Mulch
  • Rainfed wheat
  • Crop Yield
  • Decision Tree
  • seedling
  • MODFLOW
  • neural network
  • Correlation
  • Economic valuation
  • SWAT Model
  • Final production index
  • Irrigation interval
  • irrigation water
  • harvest index
  • Unconventional waters
  • bed topography
  • Reconstruction of pollution source characteristics
  • Zinc
  • Multi-Criteria Decision Making
  • Agricultural drought
  • salinity
  • SWMM model
  • Vapor pressure deficit
  • ANFIS
  • hydrodynamic
  • causal loop diagrams
  • thermal stratification
  • Infrared thermometer
  • turbulence
  • Unsteady flow
  • Nonlinear model
  • surface water
  • SSP
  • Flow3D
  • Principal component analysis
  • effluent
  • Evaporation
  • Leakage
  • Prediction
  • RCP2.6
  • River discharge
  • Wheat
  • biochemical oxygen demand
  • Water supply
  • SVM
  • organic matter
  • Environmental Impact Assessment
  • Analytical Hierarchy process
  • Replacement rate ratio
  • Artificial Neural Networks
  • MCDM
  • drainable lysimeter
  • Water loss
  • Flowering
  • Groundwater level
  • discharge
  • MODFLOW model
  • Shadegan wetland
  • Distribution and Transfer Losses
  • Flood routing
  • Flood susceptibility
  • arid and semi-arid regions
  • tape irrigation
  • Criteria
  • Artificial Neural Network
  • Numerical Modeling
  • Karkheh basin