Combined Modeling of Multivariate Analysis and Geostatistics in Assessing Groundwater Irrigation Sustenance in the Middle Cheliff Plain (North Africa)

Water

卷:14

Abdelhamid Bradai¹  Mohamed Amine Abdennour²  Ibrahim Yahiaoui³  Abdelkader Douaoui⁴  Aminjon Gulakhmadov⁵  Xi Chen⁵ 

[1] Faculty of Natural Sciences and Live, Water and Environment Laboratory, University Hassiba Benbouali of Chlef, P.O. Box 78C, Ouled Fares, Chlef 02180, Algeria;

[2] GeoEnvironmental Research Group, University of Extremadura, 10071 Caceres, Spain;

[3] Laboratory of Crop Production and Sustainable Valorization of Natural Resources, University Djilali Bounaama of Khemis Miliana, Khemis Miliana 44225, Algeria;

[4] Laboratory of Management and Valorization of Agricultural and Aquatic Ecosystems, Institute of Sciences, University Center Morsli Abdellah of Tipaza, Oued Merzoug, Tipaza 42000, Algeria;

[5] Research Center for Ecology and Environment of Central Asia, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China;

关键词: groundwater;    irrigation;    multivariate analysis;    geochemical modelling;    geostatistics;    ordinary kriging;   

DOI  :  10.3390/w14060924

来源: DOAJ

【 摘 要 】

The assessment of groundwater irrigation using robust tools is essential for the sustenance of the agro-environment in arid and semi-arid regions. This study presents a reliable method consisting of a combination of multivariate analysis and geostatistical modeling to assess groundwater irrigation resources in the Western Middle Cheliff (Algeria). For this goal, mean data from 87 wells collected during April to July 2017 were used. The hierarchical cluster analysis (HCA) using the Q-mode approach revealed three distinct water types, with mineralization increasing from cluster 1 to cluster 3. The Principal Component Analysis (PCA) utilizing the Varimax method approach allowed the extraction of three main components: the first and second (PC1, PC2), revealing that the geogenic process, have influenced the hydrogeochemical composition of groundwater. The pollution induced by agriculture activities has been related to PC3. Based on the combination of multivariate analysis and geostatistical modeling, the distribution maps were created by interpolating the factor distribution values acquired in the study region using the ordinary kriging (OK) interpolation method. The findings revealed that both natural processes and man-made activities have a substantial impact on the quality of groundwater irrigation. Cluster mapping, another often used combining approach, has shown its effectiveness in assisting groundwater resource management.

【 授权许可】

Unknown