EconPapers    
Economics at your fingertips  
 

HEC-HMS Based Rainfall-Runoff Model for Araku Valley, Visakhapatnam, Andhra Pradesh, India

Kiran Jalem and Anikul Islam
Additional contact information
Kiran Jalem: Assistant Professor, Department of Geoinformatics, Central University of Jharkhand, India
Anikul Islam: Department of Geoinformatics, Central University of Jharkhand, India

International Journal of Latest Technology in Engineering, Management & Applied Science, 2025, vol. 14, issue 5, 1119-1124

Abstract: It has become necessary to estimate the quantities of runoff by knowing the amount of rainfall to calculate the required quantities of water storage in river basin and to determine the likelihood of amount of discharge. The present study deals with the development of a hydrological model named Hydrologic Engineering Centre (HEC-HMS), which uses Digital Elevation Models (DEM). This hydrological model was used by means of the Geospatial Hydrologic Modeling Extension (HEC-GeoHMS) and Geographical Information Systems (GIS) to identify the discharge of the Araku valley catchment of Vishakhapatnam by simulated rainfall-runoff processes. The meteorological models were developed within the HEC-HMS from the recorded daily rainfall data for the hydrological years 2023. The control specifications were defined for the specified period and one day time step. The Deficit and Constant method, Clark Unit Hydrograph and Muskingum methods were used for loss, transformation and routing calculations, respectively.

Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.ijltemas.in/DigitalLibrary/Vol.14Issue5/1119-1124.pdf (application/pdf)
https://www.ijltemas.in/papers/volume-14-issue-5/1119-1124.html (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:bjb:journl:v:14:y:2025:i:5:p:1119-1124

Access Statistics for this article

International Journal of Latest Technology in Engineering, Management & Applied Science is currently edited by Dr. Pawan Verma

More articles in International Journal of Latest Technology in Engineering, Management & Applied Science from International Journal of Latest Technology in Engineering, Management & Applied Science (IJLTEMAS)
Bibliographic data for series maintained by Dr. Pawan Verma ().

 
Page updated 2025-07-04
Handle: RePEc:bjb:journl:v:14:y:2025:i:5:p:1119-1124