Investigation of the relationship of groundwater quality and irrigation: the case of Mardin Kiziltepe Plain (Mesopotamia) in Turkey

Underground water resources are one of the most valuable vital resources for mankind. Groundwater is used as drinking water and for agricultural irrigation. However, in recent years, it has been exposed to dangerous pollution, mainly due to man-made reasons. The study area is located in the Upper Mesopotamian region, where dry agriculture has been practiced since ancient times, which has semi-arid characteristics and where important civilizations lived. In this direction, the changes in groundwater quality were investigated with seasonal, annual samples taken from selected wells in Mardin Kiziltepe Plain in Upper Mesopotamia region and representing the plain in general and were subjected to water quality classifications. Statistical analyses were carried out on EC and NO3- parameters, which are important in determining the quality of groundwater. The results obtained were interpreted, evaluated in terms of drinking and agricultural uses, and it was observed that there were no non-standard values. In addition, the study area will be opened for irrigation in the near future within the framework of GAP, the largest integrated irrigation project in Turkey. This study, which is the first scientific research to be carried out before intensive irrigation, will be the first memory that will provide a very important data set for the region and will be recorded. In addition, the results of the study will be the basis for the comparison of the research to be carried out after the transition to irrigated agriculture depending on the GAP and the pre-irrigation data.

Automated summary

Underground water resources are vital for mankind, used for drinking water and agricultural irrigation. This study investigates the changes in groundwater quality in the Upper Mesopotamian region, which has a semi-arid climate and important past civilizations. Samples from selected wells in the Mardin Kiziltepe Plain were collected and analyzed for water quality classifications. The results show no non-standard values and will provide important data for future irrigation projects.