Hydrological Drought Monitoring of a Drought Prone Area

Authors: Rachana Gupta, Abhijith Palli

Country: India

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Abstract: Monthly rainfall data of 30 years was used to compute Standardize Precipitation Index (SPI) values based on two parameter gamma distribution for Kadapa district of Andhra Pradesh state, India. By definition drought could also be an extended period of unusually low rainfall, especially one that badly influences growing environments. it's one among the foremost important water associated hazards. It shows a damaging effects towards hydrological, agricultural, ecological, economic, environmental and social frameworks. Understanding these effects is crucial for drought planning, relief (mitigation), and response. It also helps in drought mitigation well in advance. A drought index value may be a single number, which is more significant than raw numbers for result making. SPI has several characteristics which is an advantage over other indices, with its adaptability and simplicity. The standardized precipitation index (SPI) method is employed for observing and describing drought supported thirty (30) year precipitation data of Kadapa district. Finding drought index with twelve month duration basis and compare with the particular drought of the station. Positive SPI values indicate normal to excess precipitation conditions whereas negative values indicate normal to deficit precipitation conditions. As compared to the actual drought data with SPI index, it showed slight anomaly with respect to drought severity. Therefore, it is preferable that SPI indicator alone should be interpreted with caution when it comes to the assessment of drought intensity.

Keywords: Standardized Precipitation Index (SPI), DrinC, Rainfall Deviations, Meteorological Drought, Gamma Distribution, Normality Tests

Paper Id: 925

Published On: 2021-05-06

Published In: Volume 9, Issue 3, May-June 2021

Cite This: Hydrological Drought Monitoring of a Drought Prone Area - Rachana Gupta, Abhijith Palli - IJIRMPS Volume 9, Issue 3, May-June 2021.

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