Flood estimation at ungauged catchments of western catchments of Karnataka, West coast of India

Reddy, N. Amaranatha; Jayakumar, S.; Rao, Subba; Nagaraj, M. K.

doi:10.1080/09715010.2018.1426055

Cited by 8 publications

(3 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For SW3, the values of t p , t b and Q p were 2.85 h, 10.62 h and 95.10 m 3 /s. Reddy et al (2019) had worked on the different SUH methods for flood estimation at the ungauged catchments of the West coast of Karnataka, India. They identified that the CWC is also a suitable method for the study area.…”

Section: Central Water Commission (Cwc) Methodsmentioning

confidence: 99%

“…Salami et al (2017) again recommended the SCS method to estimate the ordinate required to develop peak runoff hydrograph for Ogun-Osun river catchment, south-west, Nigeria. Reddy et al (2019) had identified that the CWC is also a suitable method for the ungauged catchments of the West coast of Karnataka, India. Pradipta & Nurhady (2019) concluded the SCS method was determined as the representative SUH in Juana Watershed, Indonesia Idfi et al (2020) identified SCS has a high level of accuracy for Ngotok River watershed, Indonesia.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Assessment of the empirical methods for the development of the synthetic unit hydrograph: a case study of a semi-arid river basin

Shaikh

Yadav

Manekar

2021

Water Practice and Technology

View full text Add to dashboard Cite

This study aims to assess various empirical synthetic unit hydrograph (SUH) methods and find the best method. Ideally, each river should have a definite rain gauge station (RGS) to get sufficient rainfall data that is available for carrying out meaningful analysis. The provisions of Indian Standard (IS) 4987:1994 determined the optimum number of RGS. In the absence of RGS, the SUH is recommended. SUHs have been developed using various methods such as Snyder's, Taylor and Schwarz, Soil Conservation Service, Mitchell's and Central Water Commission (CWC). In the present study, the Rel River Basin (RRB) is considered as the study area which has two existing RGS. IS 4987:1994 suggested that four RGS are required for more reliable rainfall data. Various efficiency criteria such as Correlation Coefficient, Pearson Coefficient, Nash Sutcliffe Efficiency, Index of Agreement, Normalized Root Mean Square Error, Mean Absolute Error, Root Mean Square Error and Kling-Gupta Efficiency have been used to compare SUH methods. The ranking of SUH methods was reported based on the compound factor (CF) through efficiency criteria. The 1.125 CF was observed as the minimum for the CWC method and recommended for determining peak discharge and timing for the study area.

show abstract

Section: Central Water Commission (Cwc) Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Assessment of the empirical methods for the development of the synthetic unit hydrograph: a case study of a semi-arid river basin

Shaikh

Yadav

Manekar

2021

Water Practice and Technology

View full text Add to dashboard Cite

show abstract

“…The model is based on UH averages for a large number of watersheds calculated from gauged precipitation and runoff (HEC, 2000) [8]. SCS-UH was chosen because it is widely used and is more reliable in calculating runoff rate and produces better results than the Synder unit hydrograph method [58]. Lag time is the only input for this method.…”

Section: Ii) Transform Modelmentioning

confidence: 99%

Development of real-time flood forecast model for vamsadhara river through hydrological approach

Mahapatra¹,

Mahammood²,

Rao³

2021

IJATEE

View full text Add to dashboard Cite

River floods are usually caused by a combination of wind-driven flood surges, low barometric pressure, and massive waves colliding with high upstream river flows. These floods are known to be the most devastating natural hazards. In India, wide sectoral and regional variables impact country climate change adaptability [1]. According to Markus et al. [2] climate change effects in the catchment, this change in climate is the leading cause of floods, mostly due to deforestation, urbanization, etc. *Author for correspondence Statistics suggest that floods account for almost 15% of all deaths from natural disasters and that the economic damages caused by floods have been seen to surpass billions of dollars worldwide, not just in developed countries in Asia but also in the countries of the European Union [3].The occurrence of catastrophic weather conditions in recent years has proven the need of realistic flood models, which function as early warning systems in severe storm situations, reducing economic damage. An early warning system comprises both structural and non-structural measures. While structural incorporates physical construction of embankments, canals, and so on, non structural initiatives include

show abstract

Development of Spatial Cognitive Model for Estimation of Ungauged Runoff for Mesoscale Rivers

Chakraborty

2021

Water and Energy Management in India

View full text Add to dashboard Cite

Flood estimation at ungauged catchments of western catchments of Karnataka, West coast of India

Cited by 8 publications

References 22 publications

Assessment of the empirical methods for the development of the synthetic unit hydrograph: a case study of a semi-arid river basin

Assessment of the empirical methods for the development of the synthetic unit hydrograph: a case study of a semi-arid river basin

Development of real-time flood forecast model for vamsadhara river through hydrological approach

Development of Spatial Cognitive Model for Estimation of Ungauged Runoff for Mesoscale Rivers

Contact Info

Product

Resources

About