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ORIGINAL RESEARCH article

Front. Earth Sci.

Sec. Geoinformatics

Volume 13 - 2025 | doi: 10.3389/feart.2025.1605796

On evaluating the possible hazard of soil contamination in arid regions using statistical analysis and GIS techniques

Provisionally accepted
Abdelbaset  S El-SorogyAbdelbaset S El-Sorogy1Khaled  Al-KahtanyKhaled Al-Kahtany1Mohamed  ShokrMohamed Shokr2*Talal  AlharbiTalal Alharbi1Jose Emilio  Meroño de LarrivaJose Emilio Meroño de Larriva3
  • 1College of Science, King Saud University, Riyadh, Saudi Arabia
  • 2Faculty of Agriculture, Tanta University, Tanta, Egypt
  • 3Department of Graphic Engineering and Geomatics, University of Cordoba, Campus de Rabanales, 14071 Cordoba, Spain, Cordoba, Spain

The final, formatted version of the article will be published soon.

Heavy metals (HMs) contamination of soil is gaining a lot of attention globally because of its apparent toxicity and potential risks to local populations. Therefore, the first stage of high-efficiency pollutant degradation and sustainable utilization is the evaluation of soil heavy metal distribution, sources, and environmental dangers. However, details regarding the sources of heavy metals and the degree of contamination in specific soils in the Al Qassim region of Saudi Arabia are lacking. Thus, the present study assessed the environmental risk of Arsenic (As), Cobalt (Co), Chromium (Cr), Copper (Cu), Iron(Fe), Nickel (Ni), Lead (Pb),Vanadium (V), and Zinc (Zn) in the central portion of the Al Qassim region, Saudi Arabia using a range of contamination indices and multivariate approaches. Thirty-two surface soil samples were gathered for analysis. The Normalized Difference Vegetation Index (NDVI), and land use land cover (LULC) maps were computed using a sentinel 2 image of the research area from Google Earth Engine (GEE).The potential ecological risk index (PERI) and the modified degree of contamination (mCd) averages were 26.6 and 0.6, respectively, hence all soil samples were deemed low-contaminated. According to the multivariate analysis, these HMs primarily originate from natural rocks except for Zn which may originate from an anthropogenic source but is still in a safe concentration. Because the research region is include a lot of cultivation activates , as indicated by the NDVI status and LULC map, The results of the spatial distribution maps of pollutants and their concentrations can be used by decision-makers to guide future HMs concentration monitoring in the study area., to avoid any potential future soil contamination as well as to improve human health, worldwide food security, and the accomplishment of the Sustainable Development Goals (SDGs) .

Keywords: HMS, GIS, Al Qassim region, PCA, Cluster, Dryland, natural weathering S pace B efore: 0 pt, A fter: 10 pt

Received: 04 Apr 2025; Accepted: 05 Aug 2025.

Copyright: © 2025 El-Sorogy, Al-Kahtany, Shokr, Alharbi and de Larriva. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Mohamed Shokr, Faculty of Agriculture, Tanta University, Tanta, Egypt

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