dc.contributor.author |
Maheshwari, S. |
|
dc.contributor.author |
Chavan, S. R. |
|
dc.date.accessioned |
2021-08-31T22:45:44Z |
|
dc.date.available |
2021-08-31T22:45:44Z |
|
dc.date.issued |
2021-09-01 |
|
dc.identifier.uri |
http://localhost:8080/xmlui/handle/123456789/2589 |
|
dc.description.abstract |
‘Effective discharge’ is defined as a discharge that carries maximum amount of sediments over
a prolonged period of time. Magnitude–Frequency Analysis (MFA) provides a mathematical framework to determine effective discharge. MFA considers (1) the discharge at a location that follows
a lognormal probability distribution and (2) sediment load which exhibits a power law relationship
with the discharge. An important task for hydrologists is to determine reliable estimates of effective
discharge at locations of interest within river basins. There is a dearth of attempts to assess effective
discharge estimates within South Indian River basins. Present study demonstrates the utility of MFA
to arrive at effective discharge estimates based on daily and monthly stream flow data at 30 gauges
in four southern river (Mahanadi, Godavari, Krishna and Cauvery) basins flowing through Indian
Peninsular region. Evaluation of effective discharge at daily and monthly timescales is carried out to
understand the behavior of effective discharge estimates over different timescales. It was observed
that the assumption of lognormality was invalid for daily discharge data at all gauges while it was
valid at monthly scale for 12 gauges. Results from this study can find use in efficacious planning and
management of reservoirs in South India. |
en_US |
dc.language.iso |
en_US |
en_US |
dc.subject |
Effective discharge |
en_US |
dc.subject |
lognormal probability distribution |
en_US |
dc.subject |
power law |
en_US |
dc.subject |
magnitude–frequency analysis |
en_US |
dc.subject |
Indian Peninsular region |
en_US |
dc.title |
Magnitude–frequency analysis to assess effective discharge at daily and monthly timescales in south indian river basins |
en_US |
dc.type |
Article |
en_US |