Geostatistical methods for mapping groundwater nitrate concentrations: a case study of the El-Oued region

被引：1

作者：

Abdelmonem, Miloudi ^{[1
]}

Nadjet, Zair ^{[2
]}

Badra, Attoui ^{[3
]}

Abderrahmane, Khechekhouche ^{[2
]}

Boualem, Remini ^{[4
]}

机构：

[1] Renewable Energies Development Unit in Arid Zones (UDERZA), New Technology and Local Development Laboratory, Hydraulic and Civil Engineering Department, Faculty of Technology, University of El-Oued, El-Oued

[2] New Technology and Local Development Laboratory, Hydraulic and Civil Engineering Department, Faculty of Technology, University of El-Oued, El-Oued

[3] Laboratory of Geology, Department of Geology, Badji Mokhtar University of Annaba, BP12, Annaba

[4] Water Science and Environment Laboratory, Department of Water Science and Environment, Faculty of Technology, University of Blida1, Blida

来源：

Water Supply | 2024年 / 24卷 / 09期

关键词：

El-Oued; geostatistics; groundwater nitrate content; kriging; spatial interpolation methods;

D O I：

10.2166/ws.2024.205

中图分类号：

学科分类号：

摘要：

Geostatistical modeling is a powerful tool for improving the characterization, management, and prediction of decision-making processes. The Wilaya of El-Oued is considered the backbone of agriculture in Algeria, covering 40% of the total cultivated area in the country. This makes it one of the regions with the highest consumption of agricultural fertilizers to meet the aspirations of local authorities in this field. Additionally, it has experienced significant population growth in recent years, coupled with a weak sewage network, which could lead to the direct contamination of groundwater and the region’s natural resources. This study aims to test various deterministic interpolation methods, such as the inverse distance weighting (IDW) method, the radial basis function (RBF), and the geostatistical methodology (point kriging), for mapping nitrates in 113 wells in the El-Oued aquifer. We utilized Surfer 20 for this purpose. Given the significant differences in estimates based on the methods used, it is appropriate to evaluate the spatial distribution maps of nitrates obtained by comparing their predictive qualities through the calculation of the mean estimation error. The results indicate the superiority of the point kriging technique compared with deterministic estimates, with R2 estimation errors of about 0.067. © 2024 The Authors.

引用

页码：3238 / 3252

页数：14

共 30 条

[1] Abdelmonem M., Nadjet Z., Abderrahmane K., Badra A., Nabil M., Salim K., Boualem R., Assessment of groundwater quality using the water quality index (WQI) and nitrate pollution index (NPI), in the El-Oued region (South-East Algeria), Tobacco Regulatory Science, 10, 1, pp. 1676-1690, (2024)
[2] Ahmadi S. H., Sedghamiz A., Geostatistical analysis of spatial and temporal variations of groundwater level, Environmental Monitoring and Assessment, 129, pp. 277-294, (2007)
[3] Attoui B., Sayad L., Majour H., Harizi K., Drouiche N., Bouguerra H., Water quality index, risk assessment in a coastal aquifer: The Djendjen aquifer (Jijel, Algeria), Journal of Coastal Conservation, (2024)
[4] Benjamin B., Cartography Agro Climatic Mapping: Methodology and Application to Spatial Climate Variability in Wine-Growing Gironde, (2007)
[5] Bouselsal B., Kherici N., Effects of rising water tables on humans and the environment: Case of the El-Oued region (South-East Algeria), Africa Science, 10, 3, pp. 161-170, (2014)
[6] Brahim Z., The Rise of Groundwater to the Surface: Mechanism and Impact on the Environment (Case of Oued Souf), (2009)
[7] Cay T., Uyan M., Spatial and temporal groundwater level variation geostatistical modeling in the city of Konya, Turkey, Water Environment Research, 81, 12, pp. 2460-2470, (2009)
[8] Chappell A., Heritage G. L., Fuller I. C., Large A. R. G., Milan D. J., Geostatistical analysis of ground-survey elevation data to elucidate spatial and temporal river channel change, Earth Surface Processes and Landforms, 28, pp. 349-370, (2003)
[9] Christakos G., Modern Spatiotemporal Geostatistics, (2001)
[10] Collins F. C., Bolstad P. V. A., Comparison of spatial interpolation techniques in temperature estimation, Proceedings of the Third International Conference/Workshop on Integrating GIS and Environmental Modeling, pp. 21-25, (1996)

← 1 2 3 →