IJLTEMAS International Journal of Latest Technology in Engineering, Management & Applied Science (IJLTEMAS) IJLTEMAS 2278-2540 IJLTEMAS 137 10.51583/IJLTEMAS.2026.150700132 Streamflow Analysis of Streamflow at 3, 5 and 7-Day Intervals at Four Gauging Stations of the Krishna River Dandagala Sreenivasulu Assistant Professor, Undergraduate Students, Civil Engineering Department, G. Pulla Reddy Engineering College (Autonomous), Kurnool India Chinna Babu Panga Assistant Professor, Undergraduate Students, Civil Engineering Department, G. Pulla Reddy Engineering College (Autonomous), Kurnool India Yeswitha Nagella Assistant Professor, Undergraduate Students, Civil Engineering Department, G. Pulla Reddy Engineering College (Autonomous), Kurnool India Abhi Naik Mudavath Assistant Professor, Undergraduate Students, Civil Engineering Department, G. Pulla Reddy Engineering College (Autonomous), Kurnool India Mounika Sharab Assistant Professor, Undergraduate Students, Civil Engineering Department, G. Pulla Reddy Engineering College (Autonomous), Kurnool India 15 7 1759 1767 07 08 2026 12 08 2026 22 08 2026 Floods Krishna River Risk Seasonal Variations Streamflow. Abstract

Streamflow analysis plays a crucial role in understanding the availability and distribution of water within a river basin. Streamflow analysis helps us for predicting flood conditions and reducing the risks associated with heavy rainfall and extreme weather events. Additionally, streamflow analysis provides valuable insights into seasonal variations between monsoon and non-monsoon periods. Understanding daily variations in flow supports efficient utilization and conservation of water resources. The main objective of the current research works is to identify flood and drought conditions at four gauging stations of the Krishna River Basin and also an attempt is made to compute dependable flows at 3-day, 5-day, 7-day intervals. Based on the analysis we observed that very less streamflow discharge 0.0Mm3 at Sadalga gauging station, Samdoli gauging station, Terwad gauging station and Warunji gauging station during non-monsoon season and it is noticed that high discharge is occurred in the month of August as 1469.90 Mm3,1584.45 Mm3, 2394.20 Mm3 and 1030.85Mm3 respectively for 3-Daily. This research work is useful for proper understanding of streamflow behavior for the specific locations. However, analysis of real time streamflow data is used for various purposes such as different time water withdrawal, river flow forecasts, flood warnings, drought warnings and to understand the patterns of natural flow in the river.

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