NDLI: Geostatistical analysis using GIS for mapping groundwater quality: case study in the recharge area of Wadi Usfan, western Saudi Arabia

Content Provider	Springer Nature Link
Author	Marko, Kuswantoro Al Amri, Nassir S. Elfeki, Amro M. M.
Copyright Year	2013
Abstract	The scarcity of water is one of the main issues in Saudi Arabia. In particular, the extreme climate in the form of less frequent rainfall affects the groundwater availability. Moreover, groundwater has been depleted by the increase in population. In this research, the spatial distribution of groundwater quality has been developed, and the prediction of groundwater chemical parameters has been made using geostatistical analysis in geographic information system (GIS) software. The study area is Madrakah village as the recharge area of Wadi Usfan located in the western region of Saudi Arabia. Ordinary kriging method was applied to map the spatial distribution of the groundwater chemistry. Most of the groundwater is not suitable for drinking purposes. Groundwater chemical parameters are decreasing toward the eastern part of Madrakah village. In predicting groundwater chemistry distribution maps, data transformation has been executed to reduce the skewness on most of the chemical parameters. The best semivariogram model for every parameter varies based on the root mean square error (RMSE) criterion. The groundwater chemical parameters, i.e., Na$^{+}$, Mg$^{2+}$, Cl$^{−}$, conductivity, salinity, and total dissolved solid (TDS), have a strong spatial dependence, while, NO$_{3}$ $^{−}$ and temperature have a moderate and weak spatial dependence, respectively.
Starting Page	5239
Ending Page	5252
Page Count	14
File Format	PDF
ISSN	18667511
Journal	Arabian Journal of Geosciences
Volume Number	7
Issue Number	12
e-ISSN	18667538
Language	English
Publisher	Springer Berlin Heidelberg
Publisher Date	2013-10-31
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Groundwater quality GIS Geostatistics Ordinary kriging Semivariogram Spatial distribution Earth Sciences
Content Type	Text
Resource Type	Article
Subject	Earth and Planetary Sciences Environmental Science

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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