Spatio- Temporal Surface Runoff Dynamics And Dam Discharge Estimation Of Periyar River Basin

Rainfall-runoff (RR) models are widely used in hydrology to adopt strategies and schemes for the sustainable management of river basins. In this paper, the Soil Conservation Services curve number (SCS CN) RR model is used to estimate the runoff in Periyar river basin for 20102020. The model calculates runoff depth using rainfall, land use & land cover (LULC) and soil texture. The study used Open Land Map Soil Texture, MODIS LULC and CHIRPS precipitation data. The estimated RR is further correlated with the dam discharge from Boothathankettu reservoir. Considering the controlled release from the dam, extreme events and no rain discharge have been removed to develop the model between the two. The model is trained and tested based on 80:20 data distribution. The model shows a decent relationship with $R^{2}$ of 0.68. The study shows the potential to estimate dam discharge in non-extreme scenario using RR model.

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Publication Details

Published
2024-12-02
DOI
https://doi.org/10.1109/ingarss61818.2024.11105066
Primary Topic
Hydrology and Watershed Management Studies
Type
article
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article

Spatio- Temporal Surface Runoff Dynamics And Dam Discharge Estimation Of Periyar River Basin

Alka Singh, Dhanya Manayath, S M Shebin
Hydrology and Watershed Management Studies
article

Spatio- Temporal Surface Runoff Dynamics And Dam Discharge Estimation Of Periyar River Basin

Alka Singh, Dhanya Manayath, S M Shebin
article en

Abstract

Rainfall-runoff (RR) models are widely used in hydrology to adopt strategies and schemes for the sustainable management of river basins. In this paper, the Soil Conservation Services curve number (SCS CN) RR model is used to estimate the runoff in Periyar river basin for 20102020. The model calculates runoff depth using rainfall, land use & land cover (LULC) and soil texture. The study used Open Land Map Soil Texture, MODIS LULC and CHIRPS precipitation data. The estimated RR is further correlated with the dam discharge from Boothathankettu reservoir. Considering the controlled release from the dam, extreme events and no rain discharge have been removed to develop the model between the two. The model is trained and tested based on 80:20 data distribution. The model shows a decent relationship with $R^{2}$ of 0.68. The study shows the potential to estimate dam discharge in non-extreme scenario using RR model.

Amrita Vishwa Vidyapeetham (IN)
Openalex Percentile: Top 71%
Hydrology and Watershed Management Studies
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Spatio- Temporal Surface Runoff Dynamics And Dam Discharge Estimation Of Periyar River Basin — Alka Singh, Dhanya Manayath, et al. · (2024) | TGRS Research Map | TGRS