Khalaf, A., Hummadi, A. (2023). Time Series Analysis of Drought Indices for Monitoring Desertification and Land Degradation. , 23(2), 189-202. doi: 10.33899/earth.2023.139660.1068
Ayad Abdullah Khalaf; Ali Hasan Hummadi. "Time Series Analysis of Drought Indices for Monitoring Desertification and Land Degradation". , 23, 2, 2023, 189-202. doi: 10.33899/earth.2023.139660.1068
Khalaf, A., Hummadi, A. (2023). 'Time Series Analysis of Drought Indices for Monitoring Desertification and Land Degradation', , 23(2), pp. 189-202. doi: 10.33899/earth.2023.139660.1068
Khalaf, A., Hummadi, A. Time Series Analysis of Drought Indices for Monitoring Desertification and Land Degradation. , 2023; 23(2): 189-202. doi: 10.33899/earth.2023.139660.1068
Time Series Analysis of Drought Indices for Monitoring Desertification and Land Degradation
2Department of Soil Science and Water Resources, College of Agriculture, University of Tikrit, Tikrit City, Iraq1
Abstract
The goal of research is estimation of meteorological drought indices and impact in desertification and Land Degradation. The climatic data for time series from 1990-2021 (31 years) were used. The located at coordinate 34°52'29.386"N and 43°26'15.703" E, which involve on the precipitation, temprature, humidity and wind speed…ect, depending on aims of paper. The precipitation-based drought indices (SPI, RDI, PNI, RAI, and ZSI) were calculated and analysis correlation and regression coefficient between its. The result show that all indices was severe drought for the period occurred from 1990-1993 and 1998- 2000, as well as, the highest humid in 2015 to 2018 years (15 to17 year less than zero and 14-16 years above zero according to index), Also, that drought was continuous for years 2020, 2021 and to now. Result indication to positive linear relationship between the SPI and RDI, RAI, ZSI,PNI and PPA is range (R2 = 0.99, 0.96, 0.95, 0.95 and 0.95). While, the correlation relationship between the SPI and another indices was strongly positive (R2 > 0.97).