SPATIAL AND TEMPORAL ANALYSIS OF ARIDITY TRENDS USING THE DE MARTONNE INDEX: A GIS-BASED STUDY OF THE TIMGAD BASIN, ALGERIA
Abstract
Knowledge of drought conditions is necessary for the rational use of water resources, the prevention of the dangers resulting from them, and for explaining landscape and ecology characteristics. To analyze annual, seasonal and monthly aridity trends in the Timgad Basin, North-East Algeria, climate data from 07 meteorological stations within the 1975-2009 period were used. After computing the De Martonne aridity index at each station, a geographic information system (GIS) was utilized to maps this index throughout the region and specify drought trends, visualizing detected annual, seasonal and monthly tendencies. On an annual scale, the De Marton Drought Index shows a semi-arid climate in the entire Timgad Basin. On a seasonal scale, the winter season shows a dry semi-humid climate - from Mediterranean to semi-humid conditions, and the climate of the region in autumn and spring is semi-arid except for some eastern areas, which are characterized by a dry semi-humid climate - from Mediterranean conditions in spring. In contrast, summer shows from very dry to dry. The period extending from May to October is characterized by a semi-arid to dry climate; December and January reveal humid conditions, while November, February, March and April belong to a semi-arid to Mediterranean climate.
References
Abbass, K., Qasim, M. Z., Song, H., Murshed, M., Mahmood, H., & Younis, I. (2022). A review of the global climate change impacts, adaptation, and sustainable mitigation measures. Environmental Science and Pollution Research, 29(28), 42539–42559. https://doi.org/10.1007/s11356-022-19718-6
Abbas, S., & Mayo, Z. A. (2021). Impact of temperature and rainfall on rice production in Punjab, Pakistan. Environment, Development and Sustainability, 23(2), 1706–1728. https://doi.org/10.1007/s10668-020-00647-8
AbdelRahman, M. A. E. (2023). An overview of land degradation, desertification and sustainable land management using GIS and remote sensing applications. Rendiconti Lincei. Scienze Fisiche e Naturali, 34(3), 767–808. https://doi.org/10.1007/s12210-023-01155-3
Araya-Osses, D., Casanueva, A., Román-Figueroa, C., Uribe, J. M., & Paneque, M. (2020). Climate change projections of temperature and precipitation in Chile based on statistical downscaling. Climate Dynamics, 54(9–10), 4309–4330. https://doi.org/10.1007/s00382-020-05231-4
Balmaceda‐Huarte, R., Olmo, M. E., Bettolli, M. L., & Poggi, M. M. (2021). Evaluation of multiple reanalyses in reproducing the spatio‐temporal variability of temperature and precipitation indices over southern South America. International Journal of Climatology, 41(12), 5572–5595. https://doi.org/10.1002/joc.7142
Begizew, G. (2021). Agricultural production system in arid and semi-arid regions. International Journal of Agricultural Science and Food Technology, 234–244. https://doi.org/10.17352/2455-815X.000113
Bešťáková, Z., Lhotka, O., & Kyselý, J. (2023). Links between major heat waves, drought, and atmospheric circulation in Central Europe. https://doi.org/10.5194/ems2023-430
Burić, D., Mihajlović, J., Ducić, V., Milenković, M., & Anđelković, G. (2023). Contribution to the study of climate change in Serbia using continentality, oceanity, and aridity indices. Időjárás, 127(3), 379–399. https://doi.org/10.28974/idojaras.2023.3.6
Chen, F.-W., & Liu, C.-W. (2012). Estimation of the spatial rainfall distribution using inverse distance weighting (IDW) in the middle of Taiwan. Paddy and Water Environment, 10(3), 209–222. https://doi.org/10.1007/s10333-012-0319-1
de Martonne, E. (1925). The New Edition of de Martonne’s Physical Geography. Geographical Review, 15(2), 336. https://doi.org/10.2307/208490
Derdous, O., Bouguerra, H., Tachi, S. E., & Bouamrane, A. (2020). A monitoring of the spatial and temporal evolutions of aridity in northern Algeria. Theoretical and Applied Climatology, 142(3–4), 1191–1198. https://doi.org/10.1007/s00704-020-03339-5
Derdous, O., Tachi, S. E., & Bouguerra, H. (2021). Spatial distribution and evaluation of aridity indices in Northern Algeria. Arid Land Research and Management, 35(1), 1–14. https://doi.org/10.1080/15324982.2020.1796841
Dunn, R. J. H., Alexander, L. V., Donat, M. G., Zhang, X., Bador, M., Herold, N., Lippmann, T., Allan, R., Aguilar, E., Barry, A. A., Brunet, M., Caesar, J., Chagnaud, G., Cheng, V., Cinco, T., Durre, I., de Guzman, R., Htay, T. M., Wan Ibadullah, W. M., … Bin Hj Yussof, M. N. (2020). Development of an Updated Global Land In Situ‐Based Data Set of Temperature and Precipitation Extremes: HadEX3. Journal of Geophysical Research: Atmospheres, 125(16). https://doi.org/10.1029/2019JD032263
Feng, K., Su, X., Singh, V. P., Ayantobo, O. O., Zhang, G., Wu, H., & Zhang, Z. (2021). Dynamic evolution and frequency analysis of hydrological drought from a three‐dimensional perspective. Journal of Hydrology, 600, 126675. https://doi.org/10.1016/J.JHYDROL.2021.126675
Gao, Y., Jia, J., Lu, Y., Yang, T., Lyu, S., Shi, K., Zhou, F., & Yu, G. (2021). Determining dominating control mechanisms of inland water carbon cycling processes and associated gross primary productivity on regional and global scales. Earth-Science Reviews, 213, 103497. https://doi.org/10.1016/J.EARSCIREV.2020.103497
Hashemi, S.-Z., Darzi-Naftchali, A., Karandish, F., Ritzema, H., & Solaimani, K. (2024). Enhancing agricultural sustainability with water and crop management strategies in modern irrigation and drainage networks. Agricultural Water Management, 305, 109110. https://doi.org/10.1016/j.agwat.2024.109110
Huang, J., Fu, P., Tong, J., She, J., & Zhang, J. (2019). Evaluating the vulnerability of agricultural drought in Hetao Irrigation Area of Inner Mongolia Based on super efficiency DEA. IOP Conference Series: Earth and Environmental Science, 330(3), 032020. https://doi.org/10.1088/1755-1315/330/3/032020
Isukuru, E. J., Opha, J. O., Isaiah, O. W., Orovwighose, B., & Emmanuel, S. S. (2024). Nigeria’s water crisis: Abundant water, polluted reality. Cleaner Water, 2, 100026. https://doi.org/10.1016/j.clwat.2024.100026
Jafarpour, M., Adib, A., Lotfirad, M., & Kisi, Ö. (2023). Spatial evaluation of climate change-induced drought characteristics in different climates based on De Martonne Aridity Index in Iran. Applied Water Science, 13(6), 133. https://doi.org/10.1007/s13201-023-01939-w
Jahangir, M. H., & Danehkar, S. (2022). A comparative drought assessment in Gilan, Iran using Pálfai drought index, de Martonne aridity index, and Pinna combinative index. Arabian Journal of Geosciences, 15(1), 90. https://doi.org/10.1007/s12517-021-09107-7
Liu, Q., Yang, Y., Liang, L., Jun, H., Yan, D., Wang, X., Li, C., & Sun, T. (2023). Thresholds for triggering the propagation of meteorological drought to hydrological drought in water-limited regions of China. Science of The Total Environment, 876, 162771. https://doi.org/10.1016/j.scitotenv.2023.162771
Masoudi, M. (2021). Estimation of the spatial climate comfort distribution using tourism climate index (TCI) and inverse distance weighting (IDW) (case study: Fars Province, Iran). Arabian Journal of Geosciences, 14(5), 363. https://doi.org/10.1007/s12517-021-06605-6
Meng, F., Liang, X., Xiao, C., & Wang, G. (2021). Integration of GIS, improved entropy and improved catastrophe methods for evaluating suitable locations for well drilling in arid and semi-arid plains. Ecological Indicators, 131, 108124. https://doi.org/10.1016/j.ecolind.2021.108124
Miloud, K. (2024). Mapping of aridity in the Beni Haroun watershed, eastern Algeria. Theoretical and Applied Climatology, 155(6), 4781–4796. https://doi.org/10.1007/s00704-024-04918-6
Mrad, D., Dairi, S., Boukhari, S., & Djebbar, Y. (2020). Applied multivariate analysis on annual rainfall in the northeast of Algeria. Journal of Water and Climate Change, 11(4), 1165–1176. https://doi.org/10.2166/wcc.2019.272
Rabiei-Dastjerdi, H., Mohammadi, S., Saber, M., Amini, S., & McArdle, G. (2022). Spatiotemporal Analysis of NO2 Production Using TROPOMI Time-Series Images and Google Earth Engine in a Middle Eastern Country. Remote Sensing, 14(7), 1725. https://doi.org/10.3390/rs14071725
REGAD Nora, & TATAR Hafiza. (2019). TENDANCE ET VARIABILITÉ PLUVIOMÉTRIQUES DANS UNE REGION SEMI-ARIDE : ÉTUDES DU CAS DU « BASSIN VERSANT DE TIMGAD ». Sciences & Technologie D , 50(37–44).
Sluiter R. (2009). Interpolation methods for climate data: a literature review.
Taibi, S., Meddi, M., Mahé, G., & Assani, A. (2017). Relationships between atmospheric circulation indices and rainfall in Northern Algeria and comparison of observed and RCM-generated rainfall. Theoretical and Applied Climatology, 127(1–2), 241–257. https://doi.org/10.1007/s00704-015-1626-4
Tianqi Wei, Chen, Z., Yu, X., Chapman, S., Melloy, P., & Huang, Z. (2024). PlantSeg: A Large-Scale In-the-wild Dataset for Plant Disease Segmentation.
Tiri, A., Boudoukha, A., & Lahbari, N. (2015). RETRACTED ARTICLE: Application of multivariate statistical methods and geochemical modeling to evaluate the surface water of Timgad Basin, East Algeria. Environmental Earth Sciences, 74(8), 6593–6593. https://doi.org/10.1007/s12665-014-3527-8
Vila JM. (1980). La chaine Alpine d’Algérie orientale et des confins Algero-Tunisiens. University of Pierre and Marie Curie.
Vlăduţ, A. Ștefania, & Licurici, M. (2020). Aridity conditions within the region of Oltenia (Romania) from 1961 to 2015. Theoretical and Applied Climatology, 140(1–2), 589–602. https://doi.org/10.1007/s00704-020-03107-5
Zarei, A. R., & Mahmoudi, M. R. (2022). Assessing and Predicting the Vulnerability to Agrometeorological Drought Using the Fuzzy-AHP and Second-order Markov Chain techniques. Water Resources Management, 36(11), 4403–4424. https://doi.org/10.1007/s11269-022-03260-8
Views:
17
Downloads:
9
Copyright (c) 2024 Nassim Bella, Adel Khentouche
This work is licensed under a Creative Commons Attribution 4.0 International License.
All articles are published in open-access and licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0). Hence, authors retain copyright to the content of the articles.
CC BY 4.0 License allows content to be copied, adapted, displayed, distributed, re-published or otherwise re-used for any purpose including for adaptation and commercial use provided the content is attributed.
