Radon deficit technique applied to the study of the ageing of a spilled LNAPL in a shallow aquifer

IF 4.3 3区 材料科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Alessandra Briganti , Mario Voltaggio , Claudio Carusi , Elisa Rainaldi
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Abstract

A recent diesel spill (dated January 2019 ± 1 month) in a refilling station is investigated by the Radon deficit technique. The primary focus was on quantifying the LNAPL pore saturation as a function of duration of ageing, and on proposing a predictive model for on-site natural attenuation. A biennial monitoring of the local fluctuating shallow aquifer has involved the saturated zone nine times, and the vadose zone only once. Rn background generally measured in external and upstream wells is elaborated further due to the site characteristics, using drilling logs and phreatic oscillations. Notably, this study marks the first application of the Rn deficit method to produce a detailed Rn background mapping throughout the soil depth. Simultaneously, tests are performed on LNAPL surnatant samples to study diesel ageing. In particular, they are focused on temporal variations of LNAPL viscosity (from an initial 3.90 cP to 8.99 cP, measured at 25 °C, after 34 months), and Rn partition coefficient between the pollutant and water (from 47.7 to 80.2, measured at 25 °C, after 14 months). Rn diffusion is also measured in different fluids (0.092 cm2 s−1, 1.14 × 10−5 cm2 s−1, and 2.53 × 10−6 cm2 s−1 at 25 °C for air, water and LNAPL, respectively) directly. All parameters and equations utilized during this study are introduced, discussing their influence on Radon deficit technique from a theoretical point of view. Experimental findings are used to mitigate the effect of LNAPL ageing and of phreatic oscillations on determination of LNAPL saturation index (S.I.LNAPL). Finally, S.I.LNAPL dataset is discussed and elaborated to show the pollutant attenuation across subsurface over time, induced by natural processes primarily. The proposed predictive model for on-site natural attenuation suggests a half-removal time of one year and six months. The significance of such models lies in their capability to assess site-specific reactions to pollutants, thereby enhancing the effectiveness of remediation efforts over time. These experimental findings may offer a novel approach to application of Rn deficit technique and to environmental remediation of persistent organic compounds.

Abstract Image

应用氡亏损技术研究浅含水层中溢出的 LNAPL 的老化情况
采用氡亏损技术对加气站最近的一次柴油泄漏(日期为 2019 年 1 月 ± 1 个月)进行了调查。主要重点是量化作为老化持续时间函数的 LNAPL 孔隙饱和度,并提出现场自然衰减的预测模型。每两年对当地波动的浅含水层进行一次监测,其中九次涉及饱和带,仅一次涉及浸润带。根据现场特点,利用钻井记录和相态振荡,对一般在外部和上游水井中测量到的 Rn 背景进行了进一步阐述。值得注意的是,这项研究是首次应用 Rn 缺失法绘制整个土壤深度的详细 Rn 本底图。与此同时,还对 LNAPL 样品进行了测试,以研究柴油老化。特别是 LNAPL 粘度的时间变化(从最初的 3.90 cP 增加到 8.99 cP,在 25 °C 下测量,历时 34 个月),以及污染物和水之间的 Rn 分配系数(从 47.7 增加到 80.2,在 25 °C 下测量,历时 14 个月)。此外,还直接测量了 Rn 在不同流体中的扩散情况(25 °C 时,空气、水和 LNAPL 的扩散速度分别为 0.092 cm2 s-1、1.14 × 10-5 cm2 s-1 和 2.53 × 10-6 cm2 s-1)。介绍了本研究中使用的所有参数和方程,并从理论角度讨论了它们对氡亏损技术的影响。实验结果用于减轻 LNAPL 老化和呼吸振荡对确定 LNAPL 饱和度指数(S.I.LNAPL)的影响。最后,讨论并阐述了 S.I.LNAPL 数据集,以显示主要由自然过程引起的污染物随时间在地下的衰减情况。所提出的现场自然衰减预测模型表明,半清除时间为一年零六个月。此类模型的意义在于,它们能够评估特定地点对污染物的反应,从而提高长期修复工作的有效性。这些实验结果可能为 Rn 缺失技术的应用和持久性有机化合物的环境修复提供了一种新方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
7.20
自引率
4.30%
发文量
567
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