• Kishanlal Darji
• Vidhi Khokhani
• Dr.Indra Prakash
• Khalid Mehmood
• Binh Thai Pham

The runoff estimation process is extremely complicated, nonlinear, and dynamic in nature, which depends on the meteorological and various physical features of the catchment area. Rainfall-Runoff modeling of the Machhu River basin was done using HEC-HMS method. Data of 12 Rain gauge stations pertaining to 40 years period (1978-2017) was used in the analysis. Total runoff estimated for each year was correlated with the rainfall data by carrying out regression analysis. Results of the analysis indicate that coefficient of determination (R2) was 0.85, which suggest good correlation between observed rainfall and estimated runoff value. Performance of the model was also evaluated by regression analysis which gave R2 value 0.89 which indicate very good correlation between observed and simulated value of runoff. Results of HEC-HMS study were also used for the flood frequency analysis for the better watershed management.

Rainfall-Runoff Modelling, Geographic information system, HEC-HMS Model, Initial and Constant rate Method, Regression Analysis.

"Rainfall-Runoff Modelling Using HEC-HMS Model: An Application of Regression Analysis.", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.226-234, May-2019, Available :http://www.jetir.org/papers/JETIR1905F33.pdf

"Rainfall-Runoff Modelling Using HEC-HMS Model: An Application of Regression Analysis.", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp226-234, May-2019, Available at : http://www.jetir.org/papers/JETIR1905F33.pdf