Open AccessEvaluation of Different Rainfall-based Drought Indices Detection of Meteorological Drought Events in Imo State, Nigeria
Author(s) -
Chukwudi Samuel Ekwezuo,
J.C. Madu
Publication year - 2020
Publication title -
journal of applied science and environmental management
Language(s) - English
Resource type - Journals
eISSN - 2659-1499
pISSN - 2659-1502
DOI - 10.4314/jasem.v24i4.25
Subject(s) - decile , environmental science , precipitation , index (typography) , climatology , geography , meteorology , mathematics , statistics , geology , world wide web , computer science
Drought Indices are extensively adopted as a drought detection and monitoring tool in all climatic regions. This study assesses and compares the performance of four rainfall based drought indices, Deciles index (DI), Percent of Normal Index (PNI), Standardized Precipitation Index (SPI) and Z-score Index (ZSI) in detection and classification of drought events in Imo state , a humid environment of Nigeria from (1982 to 2016). The resultshows that droughts do occur in humid climatic region of Nigeria. The various indices differ in their detection and classification of drought events in the study area. However, they classified 2007 and 2008 as the year with the most severe drought event in the state. There is high correlation (r > 0.70) among the four indices, with ZSI and PNI showing the highest relationship to SPI (r= 0.97). The differences observed among the drought indices in detecting drought events in the study area can be reduced by using multiple drought indices in addition to the use of SPI in drought assessments especially in Nigeria since technological advancement in drought monitoring software’s has made it easier. Also it is worthwhile to research on why drought detection varies with indices.
Keywords: Drought assessment, Rainfall-based drought indices, humid environment, Imo state, Nigeria.