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Mapping of aridity in the Beni Haroun watershed, eastern Algeria

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Abstract

In this work, annual precipitation measurements and averages of the maximum temperature of the warmest month and the average of the minimum temperature of the coldest month were used; these data were are extracted from the period 1981–2022 in the Beni Haroun watershed located in eastern Algeria, and were spatially interpolated using deterministic and geostatistical methodologies in a GIS environment. In particular, a comparison was made between inverse distance weighting (IDW) and ordinary kriging (OK) to evaluate the most appropriate technique for reproducing the actual surface. Then, the spatial fluctuation in aridity in the watershed was evaluated using the Emberger index, which is based on annual precipitation measurement data and the averages of the maximum temperature of the warmest month and the averages of the minimum temperature of the coldest month. It is clear that geostatistical approaches provide a more accurate estimations than IDW methods. Specifically, OK was identified as the optimal prediction technique for Emberger quotient data. Furthermore, the spatial distribution of the Emberger quotient showed that the northwestern parts of the basin presented the highest aridity values.

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  1. Department of Civil and Hydraulic Engineering, University Center of Mila, 43000, Mila Center, Algeria

    Koussa Miloud

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All authors contributed to the design and development of the study. Material preparation, data collection and analysis were carried out by Koussa Miloud, Berhail Sabri.

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Miloud, K. Mapping of aridity in the Beni Haroun watershed, eastern Algeria. Theor Appl Climatol (2024). https://doi.org/10.1007/s00704-024-04918-6

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