Abstract:
India is an agrarian country that uses its major portion of surface and groundwater
resources for irrigation. The losses through conveyance and application are the major losses
in irrigation and a significant portion of released water from the reservoir may emerge
downstream of the river called regenerated flow. Presently in Madhya Pradesh state, a fixed
10% of water release is used as regenerated flow from the command which needs to be
verified using scientific assessment for optimal utilization. The WRD MP and NIH RC,
Bhopal took up a collaborative research study to identify different hydrological components
for computation of return flow and development of a management model for optimal
utilization of irrigation water in the irrigation command. This purpose-driven study under
the National Hydrology Project has been taken up on the command of the Sanjay Sagar
Project situated on the Bah River in the Vidisha district of M.P. Under the Sanjay Sagar
project, a dam is constructed in the year 2014 on river Bah with a gross storage capacity of
86.40 MCM to irrigate 9398 ha area in the command during the Rabi season.
In the present study, three different modeling and measurement techniques i.e. water
balance, isotopic analyses, and hydrological modeling were used to compute surface and sub
surface components of irrigation return flow in an irrigation command. The water balance
technique was applied through monitoring and measurement after careful analysis of the
system. More than 400 water samples from diverse sources including rainfall, dams, canals,
rivers, open/bore wells, and hand pumps were analyzed for isotopic analysis. The end member mixing model was used to identify the contribution in open wells and rivers from rainfall and
canal/dam water. The SWAT model was used as the third method, a well-proven model for
analyzing large-scale hydrological processes in a basin. The model was initially calibrated
and validated for virgin flow for the period of 1991-2013 and then two different runs were
made with and without the dam and command for the period of 2014 to 2022 (After the
construction of the dam in 2013). For running these scenarios, necessary changes were made
in the model structure, and results were compared to compute return flow components. The
water balance analysis confirmed that a major portion of released ware from the dam in the
range of 12.3 to 35.9% with an average of 22.9% reaching the Bah river as regenerated flow,
while 1.9 to 16% with an average of 10.2% reached groundwater as recharge. The isotopic
analysis provided qualitative results of contribution in open and confined wells and rivers
from irrigation water with nearly 81 % and 9% contribution of canal water to open wells and
bore wells respectively. The SWAT model results showed nearly 27.8% emerged as
regenerated flow and 8.9% as recharge due to the application of irrigation in Sanjay Sagar‘s
command.
The field data for soil samples were collected and analyzed for textural analysis and
soil water retention properties. Soil water retention is an important characteristic of irrigation
planning. The soil is mainly silty loam having field capacity and wilting point of 35.8 and
19.6% respectively. The NAM model for the Bah River up to the G/D site was set up and the
model was calibrated and validated for the period from 1991 to 2005 and validated from 2006
to 2013. The coefficient of determination (R2) found during calibration and validation for
daily modeling were 0.68 and 0.62 respectively showing a good match between observed and
simulated runoff data. After successfully developing the NAM model, a MIKE HYDRO basin
model for irrigation management of Sanjay Sagar command was developed in which
calibrated parameters of the NAM model were used to determine inflows into the reservoir
to feed water to four water user associations (WUAs) as irrigation users. The cropping pattern
in the study area is mainly wheat and very small areas of gram. The developed management
model in MIKE HYDRO basin was run from 2015 to 2021 and determined yearly demand
and deficit for different WUAs. The model was run for four different management scenarios
and the best result was found with no deficit was found at 75% conveyance efficiency with
the sprinkler irrigation method.