Innovative trend analysis of annual rainfall in Iraq during 1980-2021
DOI:
https://doi.org/10.54386/jam.v26i2.2561Keywords:
Innovative trend analysis, Mann- Kendall test, Climate change, rainfall, IraqAbstract
Rainfall trend analysis is essential for managing water resources, agriculture, disaster management, and climate change research. The current study aims to examine annual rainfall variability and trend over 38 meteorological stations in Iraq during the period (1980-2021) using three tests: linear regression analysis (LRA), Mann-Kendall (MK), and the innovative trend analysis (ITA). The results of the three different tests showed that most stations recorded a decreasing trend except for four stations in ITA, six stations in MK, and seven stations in the LRA test, which exhibit a positive trend. However, three stations, Emaidyah, Rabiah, and Biji, showed an increasing trend for all three tests. The ITA test recorded more significant results (14 stations) than the other two tests. The larger significant result appeared in the significance level of 95 % (nine in LRA, eight in MK, and five in ITA). The outcomes of the three trend-detection approaches by assessing the statistical significance levels, 90 %, 95 %, and 99 %, revealed no significant trend in 16 stations dispersed throughout the various climatic zones of Iraq. Only Emadiayah station indicated a positive trend at the significance of 99 %. The overall results showed that the ITA test outperformed the MK and LRA tests since it produced more significant results.
References
Al-Ansari, N. (2021). Topography and climate of Iraq. J. Earth Sci. Geotech. Eng., 11: 1-13.
Al-Lami, A. M., Al-Timimi, Y. K. and Al-Shamarti, H. K. (2021). Spatiotemporal analysis of some extreme rainfall indices over Iraq (1981–2017). Sci. Review Eng. Environ. Studies (SREES), 30: 221-235.
Al-Salihi, A. M. (2017). Impact of precipitation on aerosols index over selected stations in Iraq using remote sensing technique. Model. Earth Syst. Environ., 3: 861-871.
Al-Salihi, A. M. (2018). Characterization of aerosol type based on aerosol optical properties over Baghdad, Iraq. Arabian J. Geosci., 11: 633.
Al-Yasiry, A. F., Al-Lami, A. M. and Al-Maliki, A. (2023). Production of environmental sensitivity maps for desertification in southern marshes of Iraq. IOP Conference Series: Earth Environ. Sci., IOP Publishing, 012023.
Alifujiang, Y., Abuduwaili, J., Maihemuti, B., Emin, B. and Groll, M. (2020). Innovative trend analysis of precipitation in the Lake Issyk-Kul Basin, Kyrgyzstan. Atmosphere, 11: 332.
Alkan, C. (2024). Trend analysis of agricultural drought and crop yield in Eastern Thrace provinces of Turkey. J. Agrometeorol., 26(1): 128-130 https://doi.org/10.54386/jam.v26i1.2381.
Bakr, D. I., Al-Khalidi, J. and Hamid, B. T. (2024). Climate changes impact on the distribution of vegetation in Wasit and Nineveh regions of Iraq. J. Agrometeorol., 26 (1): 87-91 https://doi.org/10.54386/jam.v26i1.2417.
Gedefaw, M., Yan, D., Wang, H., Qin, T., Girma, A., Abiyu, A. and Batsuren, D. (2018). Innovative trend analysis of annual and seasonal rainfall variability in Amhara regional state, Ethiopia. Atmosph., 9: 326.
Girma, A., Qin, T., Wang, H., Yan, D., Gedefaw, M., Abiyu, A. and Batsuren, D. (2020). Study on Recent Trends of Climate Variability Using Innovative Trend Analysis: The Case of the upper Huai River Basin. Polish J. Environ. Studies, 29.
Haan, C. (1977). Statistical methods in hydrology: Ames. IA: University, Press/Ames.
Ibraheem, N. T., Al-Jiboori, M. H., Hussain, H. H., Roomi, T. O. and Al-Salihi, A. (2023). Study of Intra-Annual and Annual Air Temperatures Over Iraq for Period (1970–2021). IOP Conference Series: Earth Environ. Sci., IOP Publishing, 012018.
Lim, H. S., Rajab, J., Al-Salihi, A., Salih, Z. and Matjafri, M. Z. (2022). A statistical model to predict and analyze air surface temperature based on remotely sensed observations. Environ. Sci. Poll. Res., 1-11.
Mallick, J., Talukdar, S., Alsubih, M., Salam, R., Ahmed, M., Kahla, N. B. and Shamimuzzaman, M. (2021). Analysing the trend of rainfall in Asir region of Saudi Arabia using the family of Mann-Kendall tests, innovative trend analysis, and detrended fluctuation analysis. Theor. Appl. Climatol., 143: 823-841.
Mann, H. B. (1945). Nonparametric tests against trend. Econometrica: J. Econometric Soc., 245-259.
Sanikhani, H., Kisi, O., Mirabbasi, R. and Meshram, S. G. (2018). Trend analysis of rainfall pattern over the Central India during 1901–2010. Arabian J. Geosci., 11: 1-14.
Sen, P. K. (1968). Estimates of the regression coefficient based on Kendall's tau. J. American Statist. Assoc., 63: 1379-1389.
Şen, Z. (2012). Innovative trend analysis methodology. J. Hydrol. Eng., 17: 1042-1046.
Şen, Z. (2014). Trend identification simulation and application. J. Hydrol. Eng., 19: 635-642.
Serencam, U. (2019). Innovative trend analysis of total annual rainfall and temperature variability case study: Yesilirmak region, Turkey. Arabian J. Geosci., 12: 704.
Sun, F., Roderick, M. L. and Farquhar, G. D. (2018). Rainfall statistics, stationarity and climate change. Proc. National Acad. Sci., 115, 2305-2310.
Swami, P. (2024). Trend analysis and change-point detection of monsoon rainfall in Uttarakhand and its impact on vegetation productivity. J. Agrometeorol., 26(1): 103-108. https://doi.org/10.54386/jam.v26i1.2214
Wang, Y., XU, Y., Tabari, H., Wang, J., Wang, Q., Song, S. and Hu, Z. (2020). Innovative trend analysis of annual and seasonal rainfall in the Yangtze River Delta, eastern China. Atmosph. Res., 231: 104673.
Zhou, Z., Wang, L., Lin, A., Zhang, M. and Niu, Z. (2018). Innovative trend analysis of solar radiation in China during 1962–2015. Renew. Energy, 119: 675-689.
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