评估和预测渗流带的自然衰减能力(AC)对于确定地下水对上层来源污染的脆弱性至关重要。然而,目前尚不清楚渗流带土壤的理化性质如何由于其复杂性和空间异质性而影响AC。在这项研究中,我们使用来自具有广泛理化性质的不同土壤的数据集,开发了一个回归模型,用于估算渗流带对柴油的AC。在17个属性中,六个(即,有机质(OM),总磷(TP),均匀系数,粒度(D30),vanGenuchten'sn,选择饱和度(SD))作为主要回归变量。结果表明,生物地球化学因素,包括OM和TP,对AC有决定性的影响。最后,将回归模型扩展为基于GIS的空间模型,并应用于Namyangju,韩国使用索引叠加方法。产生的AC图显示沿深度的非单调下降,靠近水体的区域通常表现为低AC值,最有可能是由于较低的OM,TP,更高的SD。本研究为未来时空交流动力学的研究举措提供了经验基础,它补充了传统的内在地下水脆弱性模型,如DRASTIC。
Evaluating and predicting the natural attenuation capacity (AC) of a vadose zone is essential for determining groundwater vulnerability to contamination from upper sources. However, it remains unclear how the physicochemical properties of vadose zone soils affect AC owing to their complexity and spatial heterogeneity. In this study, we developed a regression model for estimating the AC of a vadose zone against diesel using datasets from different soils with a wide range of physicochemical properties. Among the 17 properties, six (i.e., organic matter (OM), total phosphorous (TP), coefficient of uniformity, particle size (D30), van Genuchten\'s n, saturation degree (SD)) were selected as primary regressors. The results indicate that biogeochemical factors, including OM and TP, have decisive effects on the AC. Finally, the regression model was expanded to a GIS-based spatial model and applied to Namyangju, Korea using the index-overlay method. The produced AC map showed a nonmonotonic decrease along the depth, and the areas closer to the water bodies generally represented low AC values, most likely due to the lower OM, TP, and higher SD. This study provides an empirical basis for future research initiatives for spatial and temporal AC dynamics, which complements conventional intrinsic groundwater vulnerability models such as DRASTIC.