Predicting Abiotic Reduction Rate Constants of Munition Compounds in Soils

IF 11.3 1区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL 环境科学与技术 Pub Date : 2025-02-06 DOI:10.1021/acs.est.4c12872
Paula A. Cárdenas-Hernández, Jimmy Murillo-Gelvez, Juan C. Rincón-Rodríguez, Dominic M. Di Toro, Herbert E. Allen, Richard F. Carbonaro, Pei C. Chiu
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Abstract

We report an empirical poly-parameter linear free energy relationship (LFER) for estimating the mass-normalized rate constants for the abiotic reduction of munition compounds (MC) in soil. A total of 131 kinetic experiments were performed, using three classes of MC (nitroaromatic [TNT, DNAN], nitramine [RDX], and azole [NTO]) and 11 soils having highly varied organic carbon and iron contents and reduced with dithionite to different electron contents. The LFER has the same form as that for MC reduction by FeIII (oxyhydr)oxide–FeaqII redox couples and predicts MC reduction rate constants to within an order of magnitude, using only the aqueous-phase one electron reduction potential (EH1) of the MC and the pe and pH of the soil. As previously shown for azoles, which exhibited markedly higher reactivity toward iron than toward carbon reductants relative to all neutral MC, NTO reduction rate depended on soil composition and hence a correction to model prediction was necessary at soil iron-to-carbon mass ratios ≲1. This is the first successful attempt to predict the reduction kinetics of structurally diverse nitro compounds in compositionally complex soils based on their thermodynamic properties. The LFER would be useful in the management/restoration (e.g., natural or enhanced attenuation) of soils impacted by MC or other nitro pollutants.

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土壤中弹药化合物的非生物还原速率常数预测
我们报告了一种经验多参数线性自由能关系(LFER),用于估计土壤中弹药化合物(MC)非生物还原的质量归一化速率常数。采用3类MC(硝基芳香族[TNT, DNAN],硝胺[RDX],唑[NTO])和11种有机碳和铁含量变化较大的土壤进行了131次动力学实验。LFER与FeIII(氧)氧化物- feaqii氧化还原偶对MC还原的形式相同,仅利用MC的水相一电子还原电位(EH1)和土壤的pe和pH就能预测MC还原速率常数在一个数量级以内。正如前面所示,相对于所有中性MC,氮唑对铁的反应性明显高于对碳还原剂的反应性,NTO的还原率取决于土壤成分,因此在土壤铁碳质量比> 1时需要对模型预测进行修正。这是第一次成功地尝试预测结构不同的硝基化合物在组成复杂的土壤中基于其热力学性质的还原动力学。LFER对受MC或其他硝基污染物影响的土壤的管理/恢复(例如,自然或增强衰减)是有用的。
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来源期刊
环境科学与技术
环境科学与技术 环境科学-工程:环境
CiteScore
17.50
自引率
9.60%
发文量
12359
审稿时长
2.8 months
期刊介绍: Environmental Science & Technology (ES&T) is a co-sponsored academic and technical magazine by the Hubei Provincial Environmental Protection Bureau and the Hubei Provincial Academy of Environmental Sciences. Environmental Science & Technology (ES&T) holds the status of Chinese core journals, scientific papers source journals of China, Chinese Science Citation Database source journals, and Chinese Academic Journal Comprehensive Evaluation Database source journals. This publication focuses on the academic field of environmental protection, featuring articles related to environmental protection and technical advancements.
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