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Investigation of distinctive physico-chemical soil correlations for Kirkuk city using spatial analysis technique incorporated with statistical modeling
International Journal of Geo-Engineering ( IF 2.6 ) Pub Date : 2021-07-02 , DOI: 10.1186/s40703-021-00147-2
Aram Mohammed Raheem 1 , Najat Qader Omar 1
Affiliation  

In the sense of challenging economic situation, it is difficult to perform laboratory tests in a whole intended area to define the soil characteristics for whatever task or situation within an entire city. Hence, this study has used the spatial analysis through applying the inverse distance weighted (IDW) technique to integrate with the available data for 56 different soil samples collected from various depths of Kirkuk city. The studied characteristics were mainly classified to physical soil properties included gravel, sand, silt, and clay contents with chemical soil properties included organic and gypsum contents, pH content, sulfur trioxide, and total dissolved solids (TDS) content. Moreover, statistical investigations such as physico-chemical correlation, linear single and linear multi regression models have been applied. The results of this study have focused on constructing thematic digital maps for visualizing different physical and chemical characteristics of Kirkuk soil. In statistical analysis, negative linear correlations are obtained from the relation between the values of the pH, gypsum, organic, and SO3 contents with the increase of the gravel content, whereas a positive linear correlation is attained for the values of TDS content with the increase of the gravel content. Furthermore, the proposed linear multi regression model predicts the pH values reasonably where most of the values were close to the equality line. The obtained digital maps accompanied with the statistical models will provide comprehensive spatial, agricultural, chemical and mechanical visualizations of the nature and morphology of the soils in Kirkuk city.



中文翻译:

使用空间分析技术结合统计建模研究基尔库克市独特的物理化学土壤相关性

在具有挑战性的经济形势的意义上,很难在整个预期区域内进行实验室测试,以确定整个城市内任何任务或情况的土壤特征。因此,本研究通过应用反距离加权 (IDW) 技术进行空间分析,以整合从基尔库克市不同深度收集的 56 个不同土壤样本的可用数据。研究的特征主要分为土壤物理性质,包括砾石、沙子、淤泥和粘土含量,土壤化学性质包括有机和石膏含量、pH 值、三氧化硫和总溶解固体 (TDS) 含量。此外,还应用了诸如物理化学相关性、线性单回归和线性多元回归模型等统计研究。这项研究的结果侧重于构建主题数字地图,以可视化基尔库克土壤的不同物理和化学特征。在统计分析中,pH值、石膏、有机物和SO3含量随砾石含量的增加呈负线性相关,而TDS含量随砾石含量的增加呈正线性相关。的砾石含量。此外,所提出的线性多元回归模型可以合理地预测大多数值接近等式线的 pH 值。获得的数字地图连同统计模型将提供基尔库克市土壤性质和形态的综合空间、农业、化学和机械可视化。

更新日期:2021-07-02
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