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Zaidi, Faisal K.
- The Combination of Principal Component Analysis and Geostatistics as a Technique in Assessment of Groundwater Hydrochemistry in Arid Environment
Abstract Views :234 |
PDF Views:133
Authors
Yousef Nazzal
1,
Faisal K. Zaidi
2,
Izrar Ahmed
3,
Habes Ghrefat
2,
Muhammad Naeem
2,
Nassir S. N. Al-Arifi
2,
Saeed A. Al-Shaltoni
2,
Khaled M. Al-Kahtany
2
Affiliations
1 Department of Mathematics and Applied Sciences, College of Arts and Sciences, Abu Dhabi University, PO Box 59911, Abu Dhabi, AE
2 Department of Geology and Geophysics, King Saud University, PO Box 2455, Riyadh 11451, SA
3 Colleges of Engineering, King Saud University, Riyadh 11451, SA
1 Department of Mathematics and Applied Sciences, College of Arts and Sciences, Abu Dhabi University, PO Box 59911, Abu Dhabi, AE
2 Department of Geology and Geophysics, King Saud University, PO Box 2455, Riyadh 11451, SA
3 Colleges of Engineering, King Saud University, Riyadh 11451, SA
Source
Current Science, Vol 108, No 6 (2015), Pagination: 1138-1145Abstract
Central Saudi Arabia is one of the most arid regions of the world with very little precipitation and extreme climatic conditions. In the absence of available surface water supplies, the non-renewable groundwater resources stored in the Palaeozoic and Mesozoic sedimentary formations form the most important source for irrigation and domestic water requirements. The present study deals with 97 groundwater samples collected from Saq aquifer, which is the major aquifer in the region. The study involves the use of principal component analysis (PCA) and variogram analysis for groundwater quality mapping. PCA helped in establishing a series of factorial variables that summarize all the hydrochemical information. Efforts have been made to identify the spatial development of the principal process acting on groundwater quality by mapping it using factorial variables and ordinary kriging techniques. Two principal components (PCs) were extracted revealing that the chemical characteristics of groundwater in the region were acquired through rock-water interactions and anthropogenic influences. Finally, by applying kriging interpolation technique on the factor distribution values for the two PCs in the area under investigation, the factor distribution maps were prepared. The results concluded that both natural and anthropogenic processes contribute to the groundwater quality, but anthropogenic impacts are more important and may result in further deterioration of groundwater quality if relevant protection methodologies are not adopted.Keywords
Arid Region, Geostatistics, Groundwater Quality, Kriging, Principal Component Analysis.- Drainage Basin Morphometry for Identifying Zones for Artificial Recharge: A Case Study from the Gagas River Basin, India
Abstract Views :196 |
PDF Views:0
Authors
Affiliations
1 Department of Geology and Geophysics, College of Science, King Saud University, P.O. Box 2455, Riyadh - 11451, SA
1 Department of Geology and Geophysics, College of Science, King Saud University, P.O. Box 2455, Riyadh - 11451, SA
Source
Journal of Geological Society of India (Online archive from Vol 1 to Vol 78), Vol 77, No 2 (2011), Pagination: 160-166Abstract
Drainage basin morphometry is a quantitative way of describing the characteristics of the surface form of a drainage basin and provides important information about the region's topography and underlying geological structures. It plays an important role in hydrogeological investigations for delineating zones of adequate groundwater potential and selecting sites for construction of artificial recharge structures.In the present study an attempt was made to discover the stream properties in the Gagas River Basin of Almora district in the state of Uttarakhand using the various stream attributes. Based on the study the potential zones for the construction of artificial recharge structures in the basin were identified.