Estimation of Runoff in Data Scare Watershed of Middle Gujarat, India Using HEC-HMS Model

Suryaprakash Suryavansi *

College of Agricultural Engineering and Technology, Anand Agricultural University, Godhra, India.

R. Subbaiah

College of Agricultural Engineering and Technology, Anand Agricultural University, Godhra, India.

Mukesh Kumar Tiwari

College of Agricultural Engineering and Technology, Anand Agricultural University, Godhra, India.

Nirav K. Pampaniya

College of Forestry, Navsari Agricultural University, Navsari, India.

Pankaj Gupta

College of Agricultural Engineering and Technology, Anand Agricultural University, Godhra, India.

Mukeshkumar M. Trivedi

Polytechnique in Agricultural Engineering, Anand Agricultural University, Dahod, India.

*Author to whom correspondence should be addressed.


The HEC-HMS model was used to estimate runoff in the Devgadh Baria watershed, which is part of the Panam river catchment area. The SCS UH model and the Clark UH model was both used for runoff estimation. The composite CN of the watershed was found to be 77.69, which indicates that the watershed is relatively impervious with a high rainfall retention capacity. This is due to the prevalence of forest and agricultural land in the watershed, which contribute to the high CN value. A comparison of the two models showed that the SCS UH model outperformed the Clark UH model. The SCS UH model was superior because it is less sensitive to data limitations and is better able to capture the nonlinear relationship between rainfall and runoff. The study also examined the geomorphological features of the watershed, which is characterized by a dendritic drainage network with a 5th order stream. The study's findings are valuable despite some limitations, such as the availability of limited data. The findings of study may be useful flood forecasting and hazardous forecasting, climate change impact assessment, prediction in ungauged watershed, reservoir operation and water management, water resource planning, environmental impact assessment etc., in the watershed.

Keywords: HEC-HMS, Clark UH, SCS UH, GIS, ArcGIS, DSRO, rainfall-runoff, ungauged catchment

How to Cite

Suryavansi , S., Subbaiah, R., Tiwari , M. K., Pampaniya , N. K., Gupta , P., & Trivedi , M. M. (2023). Estimation of Runoff in Data Scare Watershed of Middle Gujarat, India Using HEC-HMS Model. International Journal of Environment and Climate Change, 13(9), 1066–1084.


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