IMPACTS OF CLIMATE CHANGE ON THERMAL BIOCLIMATIC INDICES OVER IRAQ

Authors

DOI:

https://doi.org/10.36103/j93nst49

Keywords:

Temperature; seasonality; isothermally; gridded; Mann–Kendall test

Abstract

This study was aimed to investigate the trends in (11) thermal bioclimatic indicators throughout Iraq's various climates to better understand their spatiotemporal variations in different climates. All bioclimatic indicators have been calculated from daily ERA5 datasets of temperature extracted from 361 grid points covering Iraq. This data set covers global coverage of monthly temperatures from 1980 to 2022, with a spatial resolution of (0.25°x0.25°). Eleven thermal bioclimatic indicators were subjected to the Mann-Kendall (MK) test in order to measure trends in a single direction, without taking into account the influence of natural cycles. The findings showed that the majority of Iraq's thermal bioclimate indicators had changed. implying that rising temperatures have had a significant influence on the country's bioclimate. The annual mean temperature data revealed that Iraq had a considerable increase in Bio1 of (0.28 to 0.48) °C/decade, which is more than the )0.15( °C/decade worldwide average. The rise was found to be significantly greater in Iraq's northern and eastern regions. The analysis suggested that the diurnal temperature range decreased in most regions of Iraq, especially in the southern and northeastern sections. The maximum temperature increased most dramatically in the warmest quarter, whereas the changes in the coldest quarter were less noticeable, showing an increase in climatic extremes in Iraq. The study unequivocally shows that climate change is leading to an increase in the mean temperature, specifically during the warmest months of the year.

References

Adeeb, H. Q., and Y.K.Al-Timimi.2019.GIS techniques for mapping of wind speed over Iraq.Iraqi Journal of Agricultural Sciences, 50(6):1621-1629. https://doi.org/10.36103/ijas.v50i6.852

Ahmadi, H., and F. Ahmadi. 2017. Mapping thermal comfort in Iran based on geostatistical methods and bioclimatic indices. Arabian Journal of Geosciences, 10(15):1-12. https://doi.org/10.1007/s12517-017-3129-3

Aich, V., N. Akhundzadah, A. Knuerr, A.J. Khoshbeen, F. Hattermann, H. Paeth, and E.N. Paton. 2017.Climate change in Afghanistan deduced from reanalysis and coordinated regional climate downscaling experiment (CORDEX) South Asia simulations. Climate, 5(2), 38. https://doi.org/10.3390/cli5020038

Al-Ansari, N. 2021. Topography and climate of Iraq. Journal of Earth Sciences and Geotechnical Engineering, 11(2), 1-13. https://doi.org/10.47260/jesge/1121

Al-Bayati, R. M., H.Q. Adeeb, A. M. Al-Salihi, and Y.K. Al-Timimi. 2020. The relationship between the concentration of carbon dioxide and wind using GIS. In AIP Conference Proceedings, 2290(1). https://doi.org/10.1063/5.0027402

Al-Jbouri, S. Q., and Y. K. Al-Timimi. 2021. Assessment of relationship between land surface temperature and normalized different vegetation index using Landsat images in some regions of diyala governorate. Iraqi Journal of Agricultural Sciences, 52(4): 793-801. https://doi.org/10.36103/ijas.v52i4.1388

Al-Lami, A. M., Y.K. Al-Timimi, and H. K. Al-Shamarti.2021.Spatiotemporal analysis of some extreme rainfall indices over Iraq (1981–2017).Scientific Review Engineering and Environmental Sciences (SREES), 30(2): 221-235. https://doi.org/10.22630/PNIKS.2021.30.2.19

Al-Lami, A. M., O. L. Khaleed, and M. M. Ahmed. 2023, August. Assessment of some Bioclimatic Indices using RayMan Model for Baghdad-Iraq. In IOP Conference Series: Earth and Environmental Science (Vol. 1223, No. 1, p012019). IOP Publishing. https://doi.org/10.1088/1755- 1315/1223/1/012019

Al-Obaidi, M. A., and Y.K. Al-Timimi. 2022. Change detection in Mosul dam lake, north of Iraq using remote sensing and GIS techniques. Iraqi Journal of Agricultural Sciences,53(1):38-47. https://doi.org/10.36103/ijas.v53i1.1506

Al-Timimi, Y.K. 2021. Monitoring desertification in some regions of Iraq using GIS techniques. Iraqi Journal of Agricultural Sciences,52(3):620-625. https://doi.org/10.36103/ijas.v52i3.1351

Al-Timimi, Y.K. A. M. Al-Lami, and H. K. Al-Shamarti. 2020. Analysis of some extreme temperature indices over Iraq. Mausam,71(3):423-430. https://doi.org/10.54302/mausam.v71i3.40

Al-Timimi, Y.K., A. M., Al-Lami, and H. K. Al-Shamarti. 2020. Calculation of the mean annual rainfall in Iraq using several methods in GIS. Plant Archives, 20(2): 1156-1160

Box, G.E.and G.M, Jenkins. 2017. Time Series Analysis, Control, and Forecasting. San Fr. CA Holden Day 1976, 3226, 10

Change, I. C. 2014. Synthesis Report. Contribution of working groups I. II and III to the fifth assessment report of the intergovernmental panel on climate change, 151(10.1017).

Duanmu, L., X., Sun, Q., Jin, and Z. Zhai. 2017. Relationship between human thermal comfort and indoor thermal environment parameters in various climatic regions of China. Procedia Engineering, 205: 2871-2878. https://doi.org/10.1016/j.proeng.2017.09.913

Hadi Pour, S., A. K., Abd Wahab, S., Shahid, and X. Wang. 2019. Spatial pattern of the unidirectional trends in thermal bioclimatic indicators in Iran. Sustainability, 11(8): 2287. https://doi.org/10.3390/su11082287

Hamed, M. M., M. S., Nashwan, Ismail, and T. B., S. Shahid. 2022. Projection of Thermal Bioclimate of Egypt for the Paris Agreement Goals. Sustainability, 14(20):13259. https://doi.org/10.3390/su142013259

Hamed, M. M., M. S., Nashwan, S. Shahid, T. B., Ismail, A. Dewan, and M. Asaduzzaman. 2022. Thermal bioclimatic indicators over Southeast Asia: Present status and future projection using CMIP6. Environmental Science and Pollution Research, 29(60): 91212-91231. https://doi.org/10.1007/s11356-022-22036-6

Hu, Z., S. Liu, G. Zhong, H. Lin, and Z. Zhou. 2020. Modified Mann-Kendall trend test for hydrological time series under the scaling hypothesis and its application. Hydrological Sciences Journal, 65(14): 2419-2438. https://doi.org/10.1080/02626667.2020.1810253

Jawad, T. K., O. T., Al-Taai, and Y. K. Al-Timimi.2018. Evaluation of drought in Iraq using DSI. by remote sensing. The Iraqi Journal of Agricultural Science, 49(6), 1132. https://doi.org/10.36103/ijas.v49i6.152

Lacombe, K., and J. Rockstroh. 2012. HIV and viral hepatitis coinfections: advances and challenges.Gut,61(1),i47. https://doi.org/10.1136/gutjnl-2012-302062

Lim, H. S., J. Rajab, A. Al-Salihi, Z. Salih, and M.Z. MatJafri. 2021. A statistical model to predict and analyze air surface temperature based on remotely sensed observations. Environmental Science and Pollution Research,29(7):1-11. https://doi.org/10.1007/s11356-021-16321-z

Liu, S., Y. Xie, H. Fang, H. Du, and P. Xu. 2022. Trend Test for Hydrological and climatic time series considering the interaction of trend and autocorrelations. water,14(19):3006 https://doi.org/10.3390/w14193006

Mahal, S. H., A. M., Al-Lami, and F. K. Mashee. 2022. Assessment of the impact of urbanization growth on the climate of Baghdad province using remote sensing techniques. Iraqi Journal of Agricultural Sciences, 53(5): 1021-1034. https://doi.org/10.36103/ijas.v53i5.1616

Mayowa, O. O., S. H., Pour, S., Shahid, M., Mohsenipour, S. B., Harun, A. Heryansyah, and T. Ismail. 2015. Trends in rainfall and rainfall-related extremes in the east coast of peninsular Malaysia. Journal of Earth System Science,124,1609-1622. https://doi.org/10.1007/s12040-015-0639-9

Mohamed, S. N., and S. Shamsuddin. 2018. Spatial distribution of unidirectional trends in climate and weather extremes in Nile Rriver basin. Theoretical and Applied Climatology, 137(1/2):1181-1199. https://doi.org/10.1007/s00704-018-2664-5

Ndetto, E. L., and A. Matzarakis. 2013. Basic analysis of climate and urban bioclimate of Dar es Salaam, Tanzania. Theoretical and Applied Climatology, 114: 213-226. https://doi.org/10.1007/s00704-012-0828-2

Noce, S., L., Caporaso, and M. Santini. 2020. A new global dataset of bioclimatic indicators. Scientific data, 7(1):398. https://doi.org/10.6084/m9.figshare.12927443

Pingale, S. M., D. Khare, M. K., Jat, and J. Adamowski. 2016. Trend analysis of climatic variables in an arid and semi-arid region of the Ajmer District, Rajasthan, India. Journal of Water and Land Development, 28(1): 3-18. https://doi.org/10.1515/jwld-2016-0001

Ragheb, A. A., I. I., El-Darwish, and S. Ahmed. 2016. Microclimate and human comfort considerations in planning a historic urban quarter. International Journal of Sustainable Built Environment, 5(1): 156-167. http://dx.doi.org/10.1016/j.ijsbe.2016.03.003

Salehie, O., T. B., Ismail, S., Shahid, S. S., Sammen, A., Malik, and X., Wang. 2022. Selection of the gridded temperature dataset for assessment of thermal bioclimatic environmental changes in Amu Darya River basin. Stochastic Environmental Research and Risk Assessment, 36(9): 2919-2939. https://doi.org/10.1007/s00477-022-02172-8

Salman, S. A., S., Shahid, T., Ismail, N. B. A., Rahman, X., Wang, and E. S. Chung. 2018. Unidirectional trends in daily rainfall extremes of Iraq. Theoretical and applied climatology,134:1165-1177. https://doi.org/10.1007/s00704-017-2336-x

Shahid, S. 2010. Rainfall variability and the trends of wet and dry periods in Bangladesh. International Journal of climatology, 30(15): 2299-2313. https://doi.org/10.1002/joc.2053

Wange, X. J. 2017. Evaluation of the performance of gridded precipitation products over Balochistan Province, Pakistan. Desalination and Water Treatment, 1, 14. https://doi.org/10.5004/dwt.2017.20859

Zauli Sajani, S., S., Tibaldi, F., Scotto, and P., Lauriola. 2008. Bioclimatic characterization of an urban area: a case study in Bologna (Italy). International journal of biometeorology,52:779-785. https://doi.org/10.1007/s00484-008-0171-6

Downloads

Published

2024-04-28

Issue

Section

Articles

How to Cite

Y. K. Al-Timimi, Alaa M. AL-Lami, Firas S. Basheer, & Ammar Y. Awad. (2024). IMPACTS OF CLIMATE CHANGE ON THERMAL BIOCLIMATIC INDICES OVER IRAQ. IRAQI JOURNAL OF AGRICULTURAL SCIENCES, 55(2), 744-756. https://doi.org/10.36103/j93nst49

Similar Articles

1-10 of 251

You may also start an advanced similarity search for this article.