Using Regression Kriging to Analyze Groundwater According to Depth and Capacity of Wells

  • Aras Jalal Mhamad Statistic & Informatics Dep., College of Administration & Economics, Sulaimani University, Sulaymaniyah, Kurdistan Region – Iraq

Abstract

Groundwater is valuable, because it is needed as fresh water for agricultural, domestic, ecological and industrial purposes. However, due to population growth and economic development, the groundwater environment is becoming more and more important and extensive. So the objective of the study is to analyze and predicting groundwater for the year 2018 based on depth and capacity of wells by using the modern style of analyzing and predicting, which is regression kriging (RK) method. Regression kriging is a geostatistical approach that exploits both the spatial variation in the sampled variable itself, and environmental information collected from covariate maps for the target predictor. It is possible to predict groundwater quality maps for areas at Sulaimani governorate in Kurdistan Regions Iraq. Sample data concerning depth and capacity of groundwater wells were collected on Ground Water Directorate in Sulaimani City. The most important result of the study in the regression kriging was the depth and capacity prediction map. The samples from the high depth of wells are located in south of Sulaimani governorate, while the north and middle areas of Sulaimani governorate have got low depths of wells. Although the samples from the high capacity are located in south of Sulaimani governorate, in the north and middle the capacity of wells have decreased. The classes (230 – 482m) of depth are the more area, while the classes (29 – 158G/s) of capacity are the almost area in the study.

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Published
2019-05-29
How to Cite
MHAMAD, Aras Jalal. Using Regression Kriging to Analyze Groundwater According to Depth and Capacity of Wells. UHD Journal of Science and Technology, [S.l.], v. 3, n. 1, p. 39-47, may 2019. ISSN 2521-4217. Available at: <http://journals.uhd.edu.iq/index.php/uhdjst/article/view/317>. Date accessed: 18 aug. 2019. doi: https://doi.org/10.21928/uhdjst.v3n1y2019.pp39-47.
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Articles