Regional analysis of drought severity-duration-frequency and severity-area-frequency curves in the Godavari River Basin, India

dc.contributor.authorKumar, Kuruva Satishen
dc.contributor.authorAnandRaj, Pallakuryen
dc.contributor.authorSreelatha, Koppalaen
dc.contributor.authorSridhar, Venkataramanaen
dc.coverage.countryIndiaen
dc.date.accessioned2024-01-22T20:17:34Zen
dc.date.available2024-01-22T20:17:34Zen
dc.date.issued2021-05-04en
dc.description.abstractIndia is one of the most drought-ravaged countries in the world and faces at least one drought in one region or another in every 3 years. There is no single reliable approach in characterizing future droughts. To understand future drought risk, potential changes of drought properties and characteristics are analysed in this study. Using Fuzzy c-means clustering approach, homogeneous drought regions are identified in the Godavari river basin and therefore, optimum number of clusters were assigned as four. The 12-month standardized precipitation index (SPI) using precipitation data from India Meteorological Department (IMD) and Global Climate Model (GCM)—MIROC-ESM-CHEM is calculated for the homogeneous regions of the Godavari basin. The best fit copula for observed and simulated severity and duration are: Region 1—Clayton, Regions 2 and 3—Gumbel, Region 4—Frank copula. Severity-duration-frequency (SDF) and severity-area-frequency (SAF) curves were developed and analysed using the best fit copulas. The research findings conclude that moderate and severe droughts are frequently increasing for future periods (2006–2099) compared to the historic period (1962–2005). Droughts with high severity and high mean interarrival time are observed as expected in the future. For the Godavari basin, the SDF curves were concave upwards indicating an increase in severity with an increase in duration. The rate of increase of severity is small for shorter durations compared to that of longer-duration drought. Thus, more prolonged drought events in the 21st century are likely to occur. The SAF curves with steeper slopes and high variability in topographical and hydrological characteristics have been observed over the Godavari basin. From these curves, for a specified percentage of area and return period, the drought severity can be calculated and the information can be used for crop management and agricultural water demands. Overall, the findings of this research offer a view of likely scenarios of drought in the Godavari basin.en
dc.description.versionAccepted versionen
dc.format.extentPages 5481-5501en
dc.format.extent21 page(s)en
dc.format.mimetypeapplication/pdfen
dc.identifier.doihttps://doi.org/10.1002/joc.7137en
dc.identifier.eissn1097-0088en
dc.identifier.issn0899-8418en
dc.identifier.issue12en
dc.identifier.orcidSridhar, Venkataramana [0000-0002-1003-2247]en
dc.identifier.urihttps://hdl.handle.net/10919/117579en
dc.identifier.volume41en
dc.language.isoenen
dc.publisherWileyen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectdroughten
dc.subjectdurationen
dc.subjectglobal climate modelen
dc.subjectseverityen
dc.subjectSPIen
dc.titleRegional analysis of drought severity-duration-frequency and severity-area-frequency curves in the Godavari River Basin, Indiaen
dc.title.serialInternational Journal of Climatologyen
dc.typeArticle - Refereeden
dc.type.dcmitypeTexten
dc.type.otherArticleen
dc.type.otherJournalen
pubs.organisational-group/Virginia Techen
pubs.organisational-group/Virginia Tech/Agriculture & Life Sciencesen
pubs.organisational-group/Virginia Tech/Agriculture & Life Sciences/Biological Systems Engineeringen
pubs.organisational-group/Virginia Tech/All T&R Facultyen
pubs.organisational-group/Virginia Tech/Agriculture & Life Sciences/CALS T&R Facultyen

Files

Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Manuscript plus Fig and Tab Mar3 f.pdf
Size:
656.01 KB
Format:
Adobe Portable Document Format
Description:
Accepted version
License bundle
Now showing 1 - 1 of 1
Name:
license.txt
Size:
1.5 KB
Format:
Plain Text
Description: