Estimation and Analysis of Rainfall Runoff for Urban Hydrology using TR 55 SCS CN and GIS Approach in Hebbal Valley of Bengaluru, South India 
Ganesh V1, Ajey Kumar V G2, Aravindan S3, Sudha Ravindranath4, Vidya A5
1Ganesh V*, Department of Civil Engineering, Sri Venkateshwara College of Engineering, Bengaluru (Karnataka), India.
2Ajey Kumar V G, Department of Civil Engineering, Sri Venkateshwara College of Engineering, Bengaluru (Karnataka), India.
3Aravindan S, Department of Civil Engineering, Sri Venkateshwara College of Engineering, Bengaluru (Karnataka), India.
4Sudha Ravindranath, Senior Scientist, Regional Remote Sensing Centre-South, Bengaluru National Remote Sensing Centre, Hyderabad (Telangana), India.
5Vidya A, Scientist Engineer ‘SE’, Regional Remote Sensing Centre-South, Bengaluru National Remote Sensing Centre, Hyderabad (Telangana), India.
Manuscript received on September 20, 2021. | Revised Manuscript received on September 25, 2021. | Manuscript published on September 30, 2021. | PP: 215-220 | Volume-10 Issue-3, September 2021. | Retrieval Number: 100.1/ijrte.C64840910321 | DOI: 10.35940/ijrte.C6484.0910321
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Urban floods are increasing frequently and severely. Climate change is usually attributed to urban floods with insufficient evidence. While in certain cases this appears to be true, the influence of landscape change in urban growth is more important. This study analyses development of an urban landscape with the complexity of established cities and combines physiographic data for the assessment of peak surface runoff in the study area, Hebbal valley. A portion of the Cauvery river basin draining into the Pinakini river in the district of Bangalore. It encompasses a 305.21 sq.km region in East Bengaluru and North Bengaluru. The land use and land cover classification was classified as 14 different categories: dark, light, roads and vegetation. The region of study has undergone unpredictable expansion and changes in the Land Use Land Cover in the last two decades. Several flood occurrences have occurred in different regions of Hebbal Valley throughout recent years. Rainfall analysis conducted between 1970 and 2018 with 1596mm of greatest precipitation. For the study, several space and non-space data were collected and thematic maps were produced. Runoff estimates for 2018 were made for 24 micro water sheds in the Hebbal Valley using SCS-CN TR55 technique for urban hydrology. The objective of this study is to determine the quantity of peak runoff produced, to develop better urban management techniques. The finding shows that rush volume has increased in recent years as land use patterns have changed and precipitation intensity has increased substantially over shorter periods. The study suggests spatial intervention efforts to provide suitable buildings and measures for flood flow.
Keywords: Curve Number, GIS, Hydrologic Soil Group (HSG), SCS-CN, Runoff Estimation.