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DETERMINATION OF SCALE-UP FACTORS FOR BIOVENTING IN THEVADOSE ZONE: THEORETICAL APPROACH - I

机译:测定茶色带中生物放大因子:理论方法-I

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Spilled gasoline penetrates into the subsurface from a variety of sources, contaminatingboth the soil and groundwater. Bioventing is one of the technologies used to remediate the subsurface.However, geological, hydrological and climatological parameters affect the subsurface soil, creatingdifferent physico-biochemical environments from site to site, resulting in complicated degradationmechanisms. Consequently, it is difficult to extend laboratory-scale results to field-scale bioremediationdesign. For example, the biodegradation rate is typically controlled by scale-dependent phenomena suchas mass transfer mechanisms, presence of multiple phases and contaminants, competingmicroorganisms, spatial heterogeneities and toxicity. Understanding these mechanisms and phenomenaand simulating them in lab work will assist with the implementation of the laboratory results in the field. Toovercome these obstacles and reduce discrepancies that exist between the laboratory-scale and fieldscale,mesoscale and intermediate-scale reactors design has been undertaken. Variables that affect thebioventing performance the most in the field were integrated in the final design using Buckingham PiTheorem for structuring the physical relation between the variables and applied dimensional analysis formodeling. A dimensionless correlation was obtained in the form of dimensionless groups relating the firstorderrate degradation constant to a number of variables. These dimensionless numbers were adjusted toachieve two goals: obtaining an ideal soil reactor configuration and size; and obtaining the size of an idealextraction well. Optimum nutrients type, C:N ratios, soil moisture and method of addition and applicationas determined from the literature have been considered. The findings should improve the effectiveness oftransferring laboratory bioventing data to the field.
机译:溢出的汽油从各种来源渗透到地下,污染了 土壤和地下水。生物通风是用于修复地下的技术之一。 但是,地质,水文和气候参数会影响地下土壤,从而造成 各地的物理化学生化环境不同,导致复杂的降解 机制。因此,很难将实验室规模的结果扩展到现场规模的生物修复 设计。例如,生物降解速率通常由比例依赖性现象控制,例如 作为传质机制,多相和污染物的存在,竞争 微生物,空间异质性和毒性。了解这些机制和现象 并在实验室工作中对其进行仿真将有助于实地实验室结果的实施。到 克服这些障碍并减少实验室规模和现场规模之间的差异, 已经进行了中规模和中规模反应堆的设计。影响变量的变量 使用白金汉Pi将最终在生物设计中表现最佳的生物技术整合到最终设计中 构造变量之间的物理关系的定理和应用的尺寸分析 造型。以与一阶相关的无量纲组的形式获得了无量纲相关性 速率降级常数取决于多个变量。这些无量纲的数字被调整为 实现两个目标:获得理想的土壤反应器配置和尺寸;并获得理想的尺寸 提取得好。最佳养分类型,碳氮比,土壤湿度以及添加和施用方法 根据文献确定。调查结果应提高以下方面的有效性: 将实验室生物排放数据传输到现场。

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