ANALISIS PENGARUH NILAI KONDUKTIVITAS HIDRAULIK DAN DISPERSIVITAS DINAMIK TERHADAP REMEDIASI AIR TANAH MENGGUNAKAN SIMULASI NUMERIK

A. Ramdhan, Arifin Arifin, E. Hermawan, Lambok M. Hutasoit
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引用次数: 1

Abstract

Groundwater remediation is one of the solutions to restore the contaminated groundwater. This study was conducted to determine the effect of hydraulic conductivity and dynamic dispersivity on the groundwater remediation effectiveness. As a case study, in 2020, in an area located in Balikpapan, groundwater remediation will be carried out by injecting water containing NaOH through five wells and pumping it back through five wells to form a cycle. The method used is a numerical simulation consisting of groundwater flow simulation, mass transport, and sensitivity analysis. The results show that it takes 124 to 300 days for the injected NaOH to arrive at the pumping wells. The sensitivity analysis results show that when the hydraulic conductivity value is ten times greater, the time required is reduced to 84 to 172 days. Meanwhile, when the dynamic dispersivity is twice larger, the time required is reduced to 75 to 189 days. These results indicate that the groundwater remediation method will be effective for aquifers with high hydraulic conductivity and dynamic dispersivity values. For the study area, the groundwater remediation is suggested to be carried out by increasing the number of injection and pumping wells with a relatively close distance, i.e., around 10 meters, so that NaOH arrives at the pumping wells more quickly.Keywords: groundwater, remediation, hydraulic conductivity, dynamic dispersivity, numerical simulation
用数字模拟分析液压传导率和动态抑制力对地下水修复的影响
地下水修复是修复污染地下水的方法之一。本研究旨在确定水导率和动态分散性对地下水修复效果的影响。作为一个案例研究,2020年,在位于Balikpapan的一个地区,地下水修复将通过5口井注入含有NaOH的水,并通过5口井将其抽回,形成一个循环。采用地下水渗流模拟、质量输运和敏感性分析相结合的数值模拟方法。结果表明,注入的NaOH到达泵井需要124 ~ 300天的时间。灵敏度分析结果表明,当水力导度值增大10倍时,所需时间缩短至84 ~ 172天。同时,当动态色散增大2倍时,所需时间减少到75 ~ 189天。这些结果表明,该地下水修复方法对具有高导水率和高动态分散性的含水层是有效的。对于研究区,建议在较近的距离内,即10米左右,增加注抽井数量,使NaOH更快到达抽井,进行地下水修复。关键词:地下水,修复,水力传导性,动态分散性,数值模拟
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