RAINFALL RUNOFF MODELLING USING HEC-HMS MODEL: CASE STUDY OF PURNA RIVER BASIN

D. MEHTA, S. YADAV

Abstract


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 causes runoff, and the occurrence and quantity of runoff are determined by the features of the rainfall event, which is the most significant hydrological process. Water resource planners typically utilize hydrological modelling to simulate the hydrological response in a basin according to the precipitation. The objective of the study is to develop a rainfall runoff model for Purna River basin using HEC-HMS model. In this study, Digital elevation model was used to delineate the watershed and consider outlet at Mahuwa gauging site, also prepared a thematic map by using Arc-GIS (10.3). HEC-HMS 4.6.1 model is used to rainfall runoff process. The Green Ampt method was utilized in this research to account for loss. SCS unit hydrograph and Synder Unit hydrograph methods are compared and both methods used for accounting the transform method and best suitable method is being used for final simulation. After optimization of the model result shows that, in SCS unit hydrograph, coefficient of determination (R-squared) was 0.9680 for year 2007 and value of Nash–Sutcliffe efficiency (NSE) and Root mean squared standard deviation (RMSE std. dev.) at Mahuwa outlet were 0.928 and 0.3 respectively. Whereas, the performance of the model was evaluated by Synder unit hydrograph which gave R-squared value varies between 0.7 to 0.9. Regression analysis indicate that both the methods have shown the good performance in predicting the runoff events in the study area based on the rainfall events. However, performance of the SCS unit hydrograph is better than Synder unit hydrograph. Thus, SCS unit hydrograph can be applied for the accurate prediction of the runoff.


Keywords


Arc-GIS (10.3), HEC-HMS, Green Ampt, SCS unit hydrograph, Synder unit hydrograph, Purna River.

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References


ATALLAH M., DJELLOULI F., HAZZEB A. (2024). Rainfall-runoff modeling using the HEC-HMS model for the Mekerra wadi watershed (N-W Algeria), Larhyss Journal, No 57, pp. 187-208.

BAUDHANWALA D., MEHTA D., KUMAR V. (2024). Machine learning approaches for improving precipitation forecasting in the Ambica River basin of Navsari District, Gujarat, Water Practice and Technology, Vol. 19, Issue 4, pp. 1315-1329.

BENKACI T., DECHEMI N. (2018). Comparative performances analysis of four daily rainfall-runoff models, applied on semi-arid watersheds (Algeria), Larhyss Journal, No 36, pp. 21-39.

BERREZEL Y.A., ABDELBAKI C., ROUISSAT B., BOUMAAZA T., KHALDOON A.M. (2023). Decision support system for the management of water distribution networks a case study of Tourville, Algeria, Larhyss Journal, No 54, pp. 7-24.

CHUA L.H., WONG T. S. (2010). Improving event-based rainfall–runoff modeling using a combined artificial neural network–kinematic wave approach, Journal of Hydrology, Vol. 390, Issue 1, pp. 92-107.

DARJI K., KHOKHANI, V., PRAKASH, I., MEHMOOD, K., PHAM, B. T., FINAL M.E. (2019). Rainfall-runoff modelling using HEC-HMS model:an application of regression analysis. Journal of Emerging Technologies and Innovative Research, Vol. 6, Issue 5, pp. 225-234.

DEVKOTA N., SHRESTHA N. M. (2021). Development of rainfall–runoff model for extreme storm events in the Bagmati River Basin, Nepal, Journal of Engineering Issues and Solutions, Vol. 1, Issue 1, pp. 158-173.

EL HMAIDI A., LAYADI A., BOUFALA M., EL ABASSI M., ESSAHLAOUI A., EL OUALI A. (2015). Contribution of GIS in selecting the favorable site for the location of the station purifying wastewater of Azrou city (middle atlas, Morocco), Larhyss Journal, No 21, pp. 7-14.

FAREGH W., BENKHALED A. (2016). GIS based SCS-CN method for estimating runoff in Sigus watershed, Larhyss Journal, No 27, pp. 257-276.

FERNANDO H.M.S., GUNAWARDENA M.P., NAJIM M.M.M. (2021). Modelling of stream flows of a forested catchment in the tropics using HEC-HMS, Larhyss Journal, No 48, pp. 73-89.

HAIBO M., XIN D., WENJUNS, C. (2018). Application of Synthetic Unit Hydrograph on HEC-HMS Model for flood forecasting, In MATEC Web of Conferences, Vol. 246, Issue 1, pp. 1-8.

KABIRI R., CHAN A., BAI, R. (2013). Comparison of SCS and Green-Ampt methods in surface runoff-flooding simulation for Klang watershed in Malaysia, Open Journal of Modern Hydrology, Vol. 3, Issue 3, pp. 102–114.

KANTHARIA V., MEHTA D., KUMAR V., SHAIKH M.P., JHA S. (2024). Rainfall–runoff modeling using an Adaptive Neuro-Fuzzy Inference System considering soil moisture for the Damanganga basin, Journal of Water and Climate Change, (In press).

KAPADIA C., PATEL K., AKBARI J., RATHOD N., MEHTA D., WAIKHOM S. (2023). Flood hazard mapping of lower Damanganga river basin using multi-criteria analysis and geoinformatics approach, Larhyss Journal, No 55, pp. 73-87.

KOUA T., ANOH K., EBLIN S., KOUASSI K., KOUAME K., JOURDA J. (2019). Rainfall and Runoff study in climate change context in the Buyo lake watershed (southwest Côte d'Ivoire), Larhyss Journal, No 39, pp. 229-258.

KUMAR V., AZAMATHULLA H.M., SHARMA K.V., MEHTA D.J., MAHARAJ K.T. (2023b). The state of the art in deep learning applications, challenges, and future prospects: A comprehensive review of flood forecasting and management, Sustainability, Vol. 15, Issue 13, pp. 1-33.

KUMAR V., KEDAM N., SHARMA K. V., MEHTA D.J., CALOIERO T. (2023a). Advanced machine learning techniques to improve hydrological prediction: A comparative analysis of streamflow prediction models, Water, Vol. 15, Issue 14, pp. 1-24.

MAJIDI A., SHAHEDI K. (2012). Simulation of rainfall-runoff process using Green-Ampt method and HEC-HMS model (Case study: Abnama Watershed, Iran). International Journal of Hydraulic Engineering, Vol. 1, Issue 1, pp. 5-9.

MEHTA D., DHABUWALA J., YADAV S.M., KUMAR V., AZAMATHULLA H.M. (2023a). Improving flood forecasting in Narmada river basin using hierarchical clustering and hydrological modelling, Results in Engineering, Special Issue, Vol. 20, Issue I, pp. 1-13.

MEHTA D., HADVANI J., KANTHARIYA D., SONAWALA P. (2023b). Effect of land use land cover change on runoff characteristics using curve number: A GIS and remote sensing approach, International Journal of Hydrology Science and Technology, Vol. 16, Issue 1, pp. 1-16.

MEHTA D., PRAJAPATI K., ISLAM M. N. (2022). Watershed Delineation and Land Use Land Cover (LULC) Study of Purna River in India. In India II: Climate Change Impacts, Mitigation and Adaptation in Developing Countries, Cham: Springer International Publishing, pp. 169-181.

PATEL A., VYAS D., CHAUDHARI N., PATEL R., PATEL K., MEHTA D. (2024). Novel approach for the LULC change detection using GIS and Google Earth Engine through spatiotemporal analysis to evaluate the urbanization growth of Ahmedabad city, Results in Engineering, Vol. 21, Issue 1, pp. 1-10.

RATHOD, P., BORSE, K., MANEKAR, V.L. (2015, December). Simulation of rainfall-runoff process using HEC-HMS (case study: Tapi river, India), In 20th International Conference on Hydraulics, Water Resources and River Engineering, pp. 1-9.

RIAHI R., BELAID H., HATIRA A., BACCOUCHE S. (2020). Contribution to the study of runoff and erosion of low slope homogeneous hydrological units of a watershed of the middle valley of Medjerda, Tunisia, Larhyss Journal, No 43, pp. 119-137.

ROUISSAT B., SMAIL N. (2022). Contribution of water resource systems analysis for the dynamics of territorial rebalancing, case of Tafna system, Algeria, Larhyss Journal, No 50, pp. 69-94.

SAHU S., PYASI S.K., GALKATE R.V., SHRIVASTAVA R.N. (2020). Rainfall-Runoff modelling using HEC-HMS model for Shipra River basin in Madhya Pradesh, India. International Journal of Current Microbiology and Applied Sciences, Vol. 9, Issue 8, pp. 3440-3449.

TE CHOW V. (2010). Applied hydrology. Tata McGraw-Hill Education.

UMRIGAR J., MEHTA D.J., CALOIERO T., AZAMATHULLA H.M., KUMAR V. (2023). A Comparative Study for Provision of Environmental Flows in the Tapi River, Earth, Vol. 4, Issue 3, pp. 570-583.

VERMA S., VERMA M.K., PRASAD A.D., MEHTA D.J., ISLAM M.N. (2024). Modeling of uncertainty in the estimation of hydrograph components in conjunction with the SUFI-2 optimization algorithm by using multiple objective functions, Modeling Earth Systems and Environment, Vol. 10, Issue 1, pp. 61-79.

WAŁĘGA A., GRZEBINOGA M., PALUSZKIEWICZ B. (2011). On using the Snyder and Clark unit hydrograph for calculations of flood waves in a highland catchment (the Grabinka River example), Acta Scientiarum Polonorum” series “Formatio Circumiectus, Vol. 10, Issue 2, pp. 47-56.

ZEGGANE H., GHERNAOUT R., BOUTOUTAOU D., ABDULLAH S.S., REMINI B., KISI O. (2021). Multidimensional analysis of precipitation in central-northern region of Algeria, Larhyss Journal, No 47, pp. 209-231.


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