Department of Environmental Resources Engineering, College of Environmental Science and Forestry, State University of New York, 1 Forestry Drive, Syracuse, NY 13210, USA.
J Hazard Mater. 2013 Sep 15;260:296-304. doi: 10.1016/j.jhazmat.2013.05.006. Epub 2013 May 13.
Alkaline copper quaternary (ACQ) is a widely used wood preservative. This study evaluated leachate volume generation and contaminant leaching from ACQ-treated lumber during rainfall events in comparison to untreated lumber. The influences of wood preservation with ACQ, lumber size, and weather on leachate generation ratio and contaminant concentrations in wood leachate were investigated with four red pine lumber piles exposed to natural weather conditions. The average volumetric ratio of leachate to rainfall was significantly higher for the large-lumber piles (0.62) compared with the small-lumber piles (0.35). Less leachate was generated in the ACQ-treated lumber piles (0.42) than the untreated lumber piles (0.55). Leachate volume could be predicted with rainfall depth, air temperature, and wetted lumber surface area. Lumber size did not make a statistically significant difference in leachate quality except for zinc concentration. The average copper concentrations were 4034 μg/L in the leachate from the ACQ-treated lumber piles and 87 μg/L in the leachate from the untreated lumber piles. Moreover, ACQ treatment significantly increased leaching of arsenic and total dissolved solids. Copper concentration in leachate from ACQ-treated lumber can be predicted with rainfall intensity, the time interval between two consecutive leachate-generating events, rain copper concentration, and rain pH.
碱性铜季铵盐(ACQ)是一种广泛使用的木材防腐剂。本研究评估了在降雨事件中,与未经处理的木材相比,ACQ 处理木材的沥出液体积生成和污染物浸出情况。通过对暴露在自然天气条件下的四个红松木材堆进行研究,调查了 ACQ 木材防腐剂处理、木材尺寸和天气对沥出液生成比和木材沥出液中污染物浓度的影响。大尺寸木材堆的沥出液与降雨量的平均体积比(0.62)明显高于小尺寸木材堆(0.35)。ACQ 处理木材堆(0.42)产生的沥出液少于未经处理木材堆(0.55)。沥出液体积可以通过降雨量、空气温度和湿木材表面积来预测。除锌浓度外,木材尺寸对沥出液质量没有统计学上的显著差异。ACQ 处理木材堆沥出液中的平均铜浓度为 4034μg/L,未经处理木材堆沥出液中的铜浓度为 87μg/L。此外,ACQ 处理显著增加了砷和总溶解固体的浸出。ACQ 处理木材堆沥出液中的铜浓度可以通过降雨量强度、两次连续产生沥出液之间的时间间隔、雨铜浓度和雨 pH 值来预测。