摘要：Water is one of the most crucial natural resources. As in most regions of the world, water quality in our country continues to decrease. The objective of this study is to determine environmental effects on groundwater quality changes of the Seyfe-Kızılırmak Sub-Basin, Turkey. The affecting water quality parameters such as pH, temperature, electrical conductivity, dissolved oxygen, total dissolved salt, hardness, sodium, potassium, calcium, magnesium, bicarbonate, chloride, ammonia, nitrite, nitrate, sulfate evaluated and determined the variations in groundwater quality parameters in months of March, May, June, and September of the years 2010-2013 selected sampling stations in Seyfe-Kızılırmak Sub-Basin, Turkey. The variation of pre-irrigation season and post-irrigation season of the data and the variation among years were employed using the parametric t test and F test for statistical analysis, respectively. In addition, using linear regression analysis to determine the forward trends of the parameters. According to this, while the increase in TDS, HCO 3 , Cl and Mg is expected to continue at an accelerated rate, it is seen that the other parameters decrease and the variability becomes right. For different uses, various measures of water quality and monitoring of parameters threatening pollution are important for the availability and sustainability of our water resources, quality of life, and economic development.
其他摘要：Water is one of the most crucial natural resources. As in most regions of the world, water quality in our country continues to decrease. The objective of this study is to determine environmental effects on groundwater quality changes of the Seyfe-Kızılırmak Sub-Basin, Turkey. The affecting water quality parameters such as pH, temperature, electrical conductivity, dissolved oxygen, total dissolved salt, hardness, sodium, potassium, calcium, magnesium, bicarbonate, chloride, ammonia, nitrite, nitrate, sulfate evaluated and determined the variations in groundwater quality parameters in months of March, May, June, and September of the years 2010-2013 selected sampling stations in Seyfe-Kızılırmak Sub-Basin, Turkey. The variation of pre-irrigation season and post-irrigation season of the data and the variation among years were employed using the parametric t test and F test for statistical analysis, respectively. In addition, using linear regression analysis to determine the forward trends of the parameters. According to this, while the increase in TDS, HCO3, Cl and Mg is expected to continue at an accelerated rate, it is seen that the other parameters decrease and the variability becomes right. For different uses, various measures of water quality and monitoring of parameters threatening pollution are important for the availability and sustainability of our water resources, quality of life, and economic development.
关键词：Linear regression models; ground water quality; environmental effects; Seyfe-;Basin
其他关键词：linear regression models;ground water quality;environmental effects;Seyfe-Kızılırmak Sub-Basin
