Suppr超能文献

pH值、竞争性阴离子和天然有机物对固体残渣中砷浸出的影响。

Effect of pH, competitive anions and NOM on the leaching of arsenic from solid residuals.

作者信息

Ghosh Amlan, Sáez A Eduardo, Ela Wendell

机构信息

Department of Chemical and Environmental Engineering, University of Arizona, Tucson, AZ 85721, United States.

出版信息

Sci Total Environ. 2006 Jun 15;363(1-3):46-59. doi: 10.1016/j.scitotenv.2005.06.018. Epub 2005 Oct 18.

Abstract

Implementation of the new arsenic MCL in 2006 will lead to the generation of an estimated 6 million pounds of arsenic-bearing solid residuals (ABSRs) every year, which will be disposed predominantly in non-hazardous landfills. The Toxicity Characteristic Leaching Procedure (TCLP) is typically used to assess whether a waste is hazardous and most solid residuals pass the TCLP. However, recent research shows the TCLP significantly underestimates arsenic mobilization in landfills. A variety of compositional dissimilarities between landfill leachates and the TCLP extractant solution likely play a role. Among the abiotic factors likely to play a key role in arsenic remobilization/leaching from solid sorbents are pH, and the concentrations of natural organic matter (NOM) and anions like phosphate, bicarbonate, sulfate and silicate. This study evaluates the desorption of arsenic from actual treatment sorbents, activated alumina (AA) and granular ferric hydroxide (GFH), which are representative of those predicted for use in arsenic removal processes, and as a function of the specific range of pH and concentrations of the competitive anions and NOM found in landfills. The influence of pH is much more significant than that of competing anions or NOM. An increase in one unit of pH may increase the fraction of arsenic leached by 3-4 times. NOM and phosphate replace arsenic from sorbent surface sites up to three orders of magnitude more than bicarbonate, sulfate and silicate, on a per mole basis. Effects of anions are neither additive nor purely competitive. Leaching tests, which compare the fraction of arsenic mobilized by the TCLP vis-a-vis an actual or more realistic synthetic landfill leachate, indicate that higher pH, and greater concentrations of anions and NOM are all factors, but of varying significance, in causing higher extraction in landfill and synthetic leachates than the TCLP.

摘要

2006年新的砷最大污染物浓度(MCL)的实施将导致每年产生约600万磅含砷固体残渣(ABSRs),这些残渣将主要被处置在非危险垃圾填埋场。毒性特性浸出程序(TCLP)通常用于评估废物是否具有危险性,大多数固体残渣通过了TCLP测试。然而,最近的研究表明,TCLP显著低估了垃圾填埋场中砷的迁移率。垃圾填埋场渗滤液与TCLP萃取剂溶液之间的各种成分差异可能起到了作用。在可能对固体吸附剂中砷的再迁移/浸出起关键作用的非生物因素中,有pH值、天然有机物(NOM)的浓度以及磷酸盐、碳酸氢盐、硫酸盐和硅酸盐等阴离子的浓度。本研究评估了实际处理吸附剂活性氧化铝(AA)和氢氧化铁颗粒(GFH)中砷的解吸情况,这两种吸附剂代表了预计用于砷去除过程的吸附剂,并研究了其作为垃圾填埋场中发现的特定pH值范围以及竞争性阴离子和NOM浓度的函数关系。pH值的影响比竞争性阴离子或NOM的影响更为显著。pH值每增加一个单位,砷的浸出分数可能会增加3至4倍。以每摩尔计,NOM和磷酸盐从吸附剂表面位点取代砷的能力比碳酸氢盐、硫酸盐和硅酸盐高出三个数量级。阴离子的影响既不是相加的,也不是纯粹竞争性的。浸出试验比较了TCLP法与实际或更现实的合成垃圾填埋场渗滤液所迁移的砷的分数,结果表明,较高的pH值、较高的阴离子和NOM浓度都是导致垃圾填埋场和合成渗滤液中比TCLP法有更高萃取率的因素,但重要性各不相同。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验