Static and dynamic water wells levels of Kirkuk city represented by geo-statistical algorithms in GIS

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 IDW interpolation algorithm is the best, accurate and nearest from the true elevations in stable levels of wells.