School of Environmental and Chemical Engineering, Shanghai University, No. 99, Shangda Road, Shanghai, 200444, PR China.
Department of Civil, Construction and Environmental Engineering, Marquette University, Milwaukee, WI, 53233, United States.
J Environ Manage. 2019 May 15;238:144-152. doi: 10.1016/j.jenvman.2019.02.098. Epub 2019 Mar 6.
Municipal solid waste incineration fly ash is directly landfilled after solidification in the industry. The rapid evaluation of contaminant leaching is required before the landfill of fly ash. In order to reduce the time to evaluate the effect of solidification, a set of rapid evaluation method was developed through the determination of characteristic index, heavy metal leaching analysis, principal component analysis, and mathematical model construction. It was found that f-CaO, acid neutralizing capacity, pH and soluble calcium were negatively correlated with heavy metal leaching. The soluble chlorine was positively correlated with heavy metal leaching. The effect of each feature indicators on heavy metal leaching was evaluated using principal component analysis and mathematical analysis software R.3.4.4. Furthermore, R.3.4.4 was used to detect the optimal model and the excess probability formula by stepwise linear regression and logistic regression analysis method. By introducing the measured value of feature indicator into the excess probability formula, the rate of excess-standard of heavy metals leaching can be preliminarily determined. Based on the above ideas, a rapid detection and evaluation system could be developed according to the local leaching standards and the components of fly ash selected locally.
城市固体废物焚烧飞灰在行业中经过固化后直接进行填埋。在飞灰进行填埋之前,需要对污染物浸出进行快速评估。为了减少评估固化效果的时间,通过确定特征指标、重金属浸出分析、主成分分析和数学模型构建,开发了一套快速评估方法。研究发现,游离氧化钙、酸中和能力、pH 值和可溶性钙与重金属浸出呈负相关,而可溶性氯与重金属浸出呈正相关。利用主成分分析和数学分析软件 R.3.4.4 对各特征指标对重金属浸出的影响进行了评价。此外,R.3.4.4 还通过逐步线性回归和逻辑回归分析方法,检测了最优模型和超概率公式。通过将特征指标的实测值引入超概率公式,可以初步确定重金属浸出超标的概率。基于上述思路,可以根据当地浸出标准和当地选用的飞灰成分,开发快速检测和评价系统。