Abstract
Water is great importance for human life as well as for agriculture therefore, different scientific methods are used for curtailed the time and possibilities for well water sources investigation. Fresh water is the most importance for Human life and cannot be healthy without it. In the paper two different interpolation methods were used, which are the ordinary kriging and Inverse Distance Weighting (IDW) to predict static and dynamic water levels of wells in Kirkuk City, and the number of wells was 64. The data of wells were obtained from digging water wells in Directorate of Kirkuk. By using different methods different results were introduced. Furthermore, three wells were used as testing wells for interpolation algorithms.These are office of the Nation Mission, the Emergency department, and Wahid Athar district wells and it was found that the Emergency department well is the most accurate and nearest from the actual levels for both static and dynamic with RMSE of - 2.23 and - 1.35 in kriging method respectively as well as -2.97 and - 2.65 respectively in IDW method. However, the average of the three testing wells overall IDWinterpolation algorithm is the best, accurate and nearest from the true elevations in stable levels of wells.
Highlights
With the necessary human needs for water, the various scientific methods used to increase saving time and possibilities to search for well water sources
The data and information of wells Kirkuk city obtained from digging water wells Directorate of Kirkuk
Two for static water level in two methods ordinary kriging and Inverse Distance Weighting (IDW) and they give some difference in spatial distribution of the static level due to the difference in equation and mechanism of each method
Summary
With the necessary human needs for water, the various scientific methods used to increase saving time and possibilities to search for well water sources. Static and dynamic water levels were predicted in this study. (4) a Hydrogeological study about Adana city settlement by GIS program. Static and dynamic water levels of wells in the Kirkuk City were selected, which are 64 wells. For prediction the static and dynamic water level of Kirkuk City, the interpolation analyst in GIS with two difference methods were used, which are Kriging and Inverse Distance Weighting (IDW). The main objectives of this study are generating data for wells for areas that unobserved or do not have available wells as well as comparing different geostatistical interpolation methods and choosing the best one close to the
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