Nicolas J, Craffe F, Romain A C
Research Group Environmental Monitoring, Department Environmental Sciences and Management, University of Liège, Avenue de Longwy, 185, B 6700 Arlon, Belgium.
Waste Manag. 2006;26(11):1259-69. doi: 10.1016/j.wasman.2005.10.013. Epub 2005 Dec 19.
The monitoring of the odor annoyance generated by a landfill area is difficult, since it is a multi-area-sources problem, with a discontinuous odor emission. This paper proposes an adaptation of the method of sniffing team campaigns to the particular case of fresh waste odors. The method is based on the field determination of odor perception points, followed by data processing with a bi-Gaussian-type model, adapted to handle the odors. In a first step, field observers delineate the region in which odor impact is experienced and then the emission rate is manipulated in a dispersion model until the predicted size of the impact zone matches that observed in the field. In a second step the adjusted emission rate is entered into the model to calculate the percentiles corresponding to the average annoyance zone. The originality of the proposed method is the introduction of all observation points and of all recorded meteorological data into the model. The paper discusses the method limitations and the errors induced on the results, i.e. the odor emission rate and the percentile lines (or iso-concentration lines) which are used to describe the odor concentrations on a map of the surroundings of the plant. The proposed method proves to be reliable for diffuse sources, such as landfill areas. The obtained results are coherent with other results found in the literature with other techniques.
对垃圾填埋场产生的气味烦恼程度进行监测很困难,因为这是一个多区域源问题,气味排放不连续。本文提出将嗅探小组活动方法应用于新鲜垃圾气味的特定情况。该方法基于现场确定气味感知点,然后使用双高斯型模型进行数据处理,该模型适用于处理气味。第一步,现场观察者划定感受到气味影响的区域,然后在扩散模型中调整排放率,直到预测的影响区域大小与现场观察到的大小匹配。第二步,将调整后的排放率输入模型,以计算对应于平均烦恼区域的百分位数。所提出方法的独特之处在于将所有观测点和所有记录的气象数据引入模型。本文讨论了该方法的局限性以及对结果产生的误差,即用于在工厂周边地图上描述气味浓度的气味排放率和百分位数线(或等浓度线)。所提出的方法对于像垃圾填埋场这样的扩散源来说是可靠的。获得的结果与文献中用其他技术得到的其他结果一致。