Development and application of a short- /long-term composited drought index in the upper Huaihe River basin, China
Accurate and reliable drought monitoring is of primary importance for drought mitigation and reduction of social-ecological vulnerability. The aim of the paper was to propose a short-term/long-term composited drought index (CDI) which could be widely used for drought monitoring and early warning...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2015-06-01
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| Series: | Proceedings of the International Association of Hydrological Sciences |
| Online Access: | https://www.proc-iahs.net/369/103/2015/piahs-369-103-2015.pdf |
| Summary: | Accurate and reliable drought monitoring is of primary importance for
drought mitigation and reduction of social-ecological vulnerability. The aim
of the paper was to propose a short-term/long-term composited drought index
(CDI) which could be widely used for drought monitoring and early warning in
China. In the study, the upper Huaihe River basin above the Xixian gauge
station, which has been hit by severe droughts frequently in recent decades,
was selected as the case study site. The short-term CDI was developed by the
Principle Component Analysis of the self-calibrating Palmer Drought Severity
Index (sc-PDSI), the 1- and 3-month Standardized Precipitation
Evapotranspiration Index (SPEI), Z Index (ZIND), the Soil Moisture Index
(SMI) with the long-term CDI being formulated by use of the self-calibrating
Palmer Hydrology Drought Index (sc-PHDI), the 6-, 12-, 18- and 24-month
SPEI, the Standardized Streamflow Index (SSI), the SMI. The sc-PDSI, the
PHDI, the ZIND, the SPEI on a monthly time scale were calculated based on
the monthly air temperature and precipitation, and the monthly SMI and SSI
were computed based on the simulated soil moisture and runoff by the
distributed Xinanjiang model. The thresholds of the short-term/long-term CDI
were determined according to frequency statistics of different drought
indices. Finally, the feasibility of the two CDIs was investigated against
the scPDSI, the SPEI and the historical drought records. The results
revealed that the short-term/long-term CDI could capture the onset,
severity, persistence of drought events very well with the former being
better at identifying the dynamic evolution of drought condition while the
latter better at judging the changing trend of drought over a long time
period. |
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| ISSN: | 2199-8981 2199-899X |