Impact of Reservoirs on Streamflow Extremes in India

Abstract India has an extensive network of reservoirs, yet their influence on streamflow extremes remains poorly quantified. To understand how reservoirs have altered the natural flow regime across India, we integrate 223 reservoirs into a national hydrologic modeling system integrating Noah‐MP land surface model and MizuRoute hydrodynamic model. Including reservoirs improved national streamflow NSE by 43%. The results reveal that reservoirs provide 46.1% median attenuation of monsoon high flow peaks and a 235% augmentation of pre‐monsoon low flows. Large reservoirs (≥1000 MCM) dominate magnitude control of extremes while smaller reservoirs (<1000 MCM) drive the 1–3 days onset lag. Alarmingly, 74% of reservoirs reach near full capacity next day immediately after a high flow peak. This systematic saturation leaves the network highly vulnerable to sequential high inflows, necessitating a shift toward forecast‐informed operations to mitigate risk.

Authors

Institutions

Publication Details

Journal
Geophysical Research Letters
Published
2026-11-02
DOI
https://doi.org/10.1029/2026gl125455
Primary Topic
Hydrology and Watershed Management Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Impact of Reservoirs on Streamflow Extremes in India

P. Sharma, Naoki Mizukami, Manabendra Saharia
1 links
Geophysical Research Letters
Hydrology and Watershed Management Studies
article

Impact of Reservoirs on Streamflow Extremes in India

P. Sharma, Naoki Mizukami, Manabendra Saharia
article en

Abstract

Abstract India has an extensive network of reservoirs, yet their influence on streamflow extremes remains poorly quantified. To understand how reservoirs have altered the natural flow regime across India, we integrate 223 reservoirs into a national hydrologic modeling system integrating Noah‐MP land surface model and MizuRoute hydrodynamic model. Including reservoirs improved national streamflow NSE by 43%. The results reveal that reservoirs provide 46.1% median attenuation of monsoon high flow peaks and a 235% augmentation of pre‐monsoon low flows. Large reservoirs (≥1000 MCM) dominate magnitude control of extremes while smaller reservoirs (<1000 MCM) drive the 1–3 days onset lag. Alarmingly, 74% of reservoirs reach near full capacity next day immediately after a high flow peak. This systematic saturation leaves the network highly vulnerable to sequential high inflows, necessitating a shift toward forecast‐informed operations to mitigate risk.

Geophysical Research LettersVol. 53(21)
NSF National Center for Atmospheric Research (US), Indian Institute of Technology Delhi (IN)
Clean water and sanitation, Climate action
Openalex Percentile: Top 27%
Hydrology and Watershed Management Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon