Hydrological Modelling Using HEC-HMS and Estimation of the Flood Peak by Gumbel’s Method

Ansari, Masood Zafar; Ahmad, Ishtiyaq; Rautela, Kuldeep Singh; Goyal, Manish Kumar; Singh, Pushpendra Kumar

doi:10.1007/978-981-99-3687-8_10

Disaster Resilience and Green Growth

2023

DOI: 10.1007/978-981-99-3687-8_10

|View full text |Cite

Hydrological Modelling Using HEC-HMS and Estimation of the Flood Peak by Gumbel’s Method

Masood Zafar Ansari,

Ishtiyaq Ahmad,

Kuldeep Singh Rautela

et al.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2024

Publication Types

Select...

Article1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Rainfall-runoff modeling based on HEC-HMS model: a case study in an area with increased groundwater discharge potential

Herbei,

Bădăluță-Minda,

Popescu

et al. 2024

Front. Water

View full text Add to dashboard Cite

The Hydrologic Modeling System (HEC-HMS), designed to accurately simulate precipitation-runoff processes in various watershed types, was employed in our study to establish a model for a particular watershed. Consequently, we planned to create a rainfall-runoff model to investigate the specific characteristics of floods, assess some pre-diction models, and issue assumptions about their viability, which could be beneficial in establishing flood warning systems. The model was developed using daily precipitation data collected from different rain gauge stations in the Gilort watershed, located in southern Romania. The study employed the HEC-GeoHMS terrain processing tool, utilizing a digital elevation design to build a hydrological model. The statistical indicators used to evaluate the runoff mechanisms, specifically regression, coefficient of determination, correlation coefficient, index of agreement (Willmott index), and the root mean squared error (RMSE), showed a strong relationship between the simulated and recorded flow of the watershed. The leaking model was assessed using other statistical parameters, including the deviation of runoff volumes (Dv = 6.40%), Nash−Sutcliffe efficiency (NSE = 0.908), and Kling-Gupta efficiency (KGE = 0.901). These parameters confirmed that the simulated data closely matched the observed data, indicating an effective association, and were considered reliable indicators of the model’s goodness of fit, ensuring its reliability and efficacy.

show abstract

Rainfall-runoff modeling based on HEC-HMS model: a case study in an area with increased groundwater discharge potential

Herbei,

Bădăluță-Minda,

Popescu

et al. 2024

Front. Water

View full text Add to dashboard Cite

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Hydrological Modelling Using HEC-HMS and Estimation of the Flood Peak by Gumbel’s Method

Cited by 1 publication

References 18 publications

Rainfall-runoff modeling based on HEC-HMS model: a case study in an area with increased groundwater discharge potential

Rainfall-runoff modeling based on HEC-HMS model: a case study in an area with increased groundwater discharge potential

Contact Info

Product

Resources

About