DSS-IWM: A FARM LEVEL DECISION SUPPORT SYSTEM FOR IRRIGATION WATER MANAGEMENT

Authors

  • S. A. KADAM Department of Irrigation and Drainage EngineeringMahatma Phule Krishi Vidyapeeth, Rahuri-413 722
  • M. A. TAMBOLI Vishwabharati Academys Collegeof Engineering,AhmednagarSavitribai Phule Pune University,Pune
  • S. D. GORANTIWAR Department of Irrigation and Drainage EngineeringMahatma Phule Krishi Vidyapeeth, Rahuri-413 722
  • P. C. JAYAPAL Sr. Software Engineer,Bangalore

Keywords:

Farm level,, Irrigation water management,, Decision support,, Soil water balance

Abstract

A farm level irrigation water management decision support system (DSS-IWM) was developed based on Soil Water Balance-Crop Yield Benefit (SWAB-CRYB) model, crop phenology model, root growth model, crop yield response function, soil parameters, weather data and irrigation management strategies. The DSS-IWM needs four input data files related to crop, soil, climate and irrigation strategies. In DSS-IWM Penman-Monteith method was used to estimate crop water requirement considering daily crop coefficients. Soil water balance was carried out to obtain actual crop evapotranspiration (ETa), using linear root growth model. Actual crop yield was estimated with crop yield response models incorporating crop growth stages and response of water stress to each crop growth stage. Economic model was developed to estimate net benefits from farms. DSS-IWM enables the estimation of soil moisture in the root zone, actual evapotranspiration and return flow to the groundwater due to irrigation in terms of deep percolation, crop yield and net benefits by simulating the different processes responsible for soil water balance in the root zone.

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Published

2021-03-27

Issue

Vol. 3 No. 1 (2016): IJIERT

Section

Articles

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