MCU.soft- A decision support system to estimate the monthly consumptive use with minimum Meteorological observations

摘要

To estimate the monthly consumptive use for a particular crop in a particular region is a cumbersome process and several equations have been developed so far. To calculate the total irrigation water requirement for a particular crop period requires the information of consumptive use/ potential evapo-transpiration, crop Coefficient, effective rainfall and the overall expected irrigation efficiency. To ease the calculation of consumptive use with minimum data set to predict several thing, as total water requirement for a particular crop, number of irrigation required, irrigation scheduling, in-situ and ex-situ water conservation or harvesting practices or size of structures etc, the Lowry Johnson method has been selected and a small Decision Support System named as MCU.soft has been made in the computer language Visual Basic 6.0. The DSS requires only the mean monthly temperature to get monthly Consumptive use/Potential Evapo-transpiration and to predict water requirement per hectare for any field crop, Crop coefficient, Effective rainfall and Expected overall irrigation efficiency. This DSS has been monitored with several data sets and found theoretically correct and ready to help for the researchers.