Preprints
https://doi.org/10.5194/hess-2022-286
https://doi.org/10.5194/hess-2022-286
04 Apr 2023
 | 04 Apr 2023
Status: this preprint has been withdrawn by the authors.

On the regional-scale streamflow variability using flow duration curve

Pankaj Dey, Jeenu Mathai, Murugesu Sivapalan, and Pradeep Mujumdar

Abstract. As each catchment responds uniquely, even if they appear similar, formulating generalizable hypotheses and using routinely used signatures of catchment similarity to examine streamflow variability can be difficult. Flow Duration Curve (FDC), a concise portrayal of streamflow variability at a specific gauging station, can provide insights into hydroclimatic and landscape processes occurring at a wide range of space and time scales that govern flow regimes in a region. This study explores the suitability of partitioning of annual streamflow FDC into seasonal FDCs, and total streamflow FDC into fast and slow flow FDCs to unravel the process controls on FDCs at a regional scale, with application to low-gradient rivers flowing east from the Western Ghats of Peninsular India. The focus is on investigation of the controls of common regional landscape features (in space) and seasonal climatic (in time) variations on regional variations of the FDC. Findings of the study indicate that bimodal rainfall seasonality and higher fraction of moderate to good groundwater potential zones explains the higher contribution of slow flow to total flow across north-south gradient of the region. Shapes of fast and slow FDCs are controlled by recession parameters revealing the role of climate seasonality and geologic profiles, respectively. A systematic spatial variation across north-south gradient is observed – highlighting the importance of coherent functioning of landscape-hydroclimate settings in imparting distinct signature of streamflow variability. The framework is useful to discover the role of time and process controls on streamflow variability in a region with seasonal hydroclimatology and hydro-geologic gradients.

This preprint has been withdrawn.

Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this preprint. The responsibility to include appropriate place names lies with the authors.
Pankaj Dey, Jeenu Mathai, Murugesu Sivapalan, and Pradeep Mujumdar

Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • CC1: 'Comment on hess-2022-286', Pradeep P. Mujumdar, 28 Apr 2023
  • AC1: 'Comment on hess-2022-286', Pankaj Dey, 28 Apr 2023
  • CEC1: 'Comment on hess-2022-286', Erwin Zehe, 07 Jun 2023

Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • CC1: 'Comment on hess-2022-286', Pradeep P. Mujumdar, 28 Apr 2023
  • AC1: 'Comment on hess-2022-286', Pankaj Dey, 28 Apr 2023
  • CEC1: 'Comment on hess-2022-286', Erwin Zehe, 07 Jun 2023
Pankaj Dey, Jeenu Mathai, Murugesu Sivapalan, and Pradeep Mujumdar
Pankaj Dey, Jeenu Mathai, Murugesu Sivapalan, and Pradeep Mujumdar

Viewed

Total article views: 774 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
529 208 37 774 60 34 37
  • HTML: 529
  • PDF: 208
  • XML: 37
  • Total: 774
  • Supplement: 60
  • BibTeX: 34
  • EndNote: 37
Views and downloads (calculated since 04 Apr 2023)
Cumulative views and downloads (calculated since 04 Apr 2023)

Viewed (geographical distribution)

Total article views: 740 (including HTML, PDF, and XML) Thereof 740 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 18 Jul 2024
Download

This preprint has been withdrawn.

Short summary
This study explores the regional streamflow variability in Peninsular India – which is governed by monsoons, mountainous systems and geologic gradients. A linkage between these influencers and streamflow variability is established.