Stream flow modelling in a part of Satluj basin using swat model
Student name: Ms Shahnaz Khatun
Guide: Dr Chander Kumar Singh
Year of completion: 2017
Host Organisation: National Institute of Hydrology (NIH), Roorkee
Supervisor (Host Organisation): Dr Sanjay Kumar Jain
Abstract: Adoption of mathematical models for evaluation of hydrology of watershed is most
popular and prevailing trend. The most trending techniques in present time, to
derive out the information related to watershed, are GIS and Remote Sensing.
SWAT is a universal, semi-distributed, mathematical river basin model that needs
a large number of input parameters. In the current study, the model is
accomplished for gaining knowledge of hydrological behavior of the study area
which is in between Suni to Kasol in the state of Himachal Pradesh, India. For
model calibration, daily observed stream flow data (1986-1998) was used, while
for validation data from 1999 to 2011 have been used. The applicability of SWAT
model is assessed by using various graphical and statistical methods which helped
to determine the capacity of the model for simulation of run off for this particular
basin. SWAT-CUP is one of the new developments for calibration/uncertainty
analysis of watershed models. It gives an efficient graphical interface for
depicting outcomes, it takes into account both simulated and observed data, best-
fit model results and 95PPU for all variables used in model calibration. SUFI-2
procedure is effective but need more iterations as well as modification of the
parameter ranges for better results. This method is flexible allowing users to adopt
different measures and objective functions. This method has been chosen for this
study. The model is calibrated by using eleven most sensitive parameters namely
CN2, SOIL_K, RCHRG_DP, CH_K2, ALPHA_BF, ESCO, GW_DELAY,
SOL_AWC, GW_REVAP, GWQMN, REVAPMN. The R² for daily runoff was
derived 0.99 during Calibration period with Nash Sutcliff of 0.98, whereas 0.97
and 0.96 were found respectively at Kasol outlet for the validation period as well.
It shows the effectiveness and appropriateness of the SUFI-2 method for the study
area. As per water balance study, the water yield and ET of the catchment varies
from 45-50% and 40-45% of the total precipitation, respectively. It is necessary
to acquire spatial and hydro meteorological database for the study by installing
the Automatic Weather Stations (AWS) to measure more accurate meteorological
data. The results of non-parametric approach indicates that during monsoon
season there is rising trend in rainfall at both stations. The rainfall is found to be
falling during pre-monsoon, post-monsoon and winter season.
Keywords: SWAT, Global Sensitivity Analysis, Calibration, Validation,
Trend Analysis
