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采用改进的反演模型法估算室内工业源的臭气排放速率。

Odor emission rate estimation of indoor industrial sources using a modified inverse modeling method.

机构信息

Department of Civil, Architectural, and Environmental Engineering, Illinois Institute of Technology, Chicago, IL 60616, USA.

出版信息

J Air Waste Manag Assoc. 2011 Aug;61(8):872-81. doi: 10.3155/1047-3289.61.8.872.

Abstract

Odor emission rates are commonly measured in the laboratory or occasionally estimated with inverse modeling techniques. A modified inverse modeling approach is used to estimate source emission rates inside of a postdigestion centrifuge building of a water reclamation plant. Conventionally, inverse modeling methods divide an indoor environment in zones on the basis of structural design and estimate source emission rates using models that assume homogeneous distribution of agent concentrations within a zone and experimentally determined link functions to simulate airflows among zones. The modified approach segregates zones as a function of agent distribution rather than building design and identifies near and far fields. Near-field agent concentrations do not satisfy the assumption of homogeneous odor concentrations; far-field concentrations satisfy this assumption and are the only ones used to estimate emission rates. The predictive ability of the modified inverse modeling approach was validated with measured emission rate values; the difference between corresponding estimated and measured odor emission rates is not statistically significant. Similarly, the difference between measured and estimated hydrogen sulfide emission rates is also not statistically significant. The modified inverse modeling approach is easy to perform because it uses odor and odorant field measurements instead of complex chamber emission rate measurements.

摘要

气味排放率通常在实验室中进行测量,或者偶尔使用反演建模技术进行估计。本文采用一种改进的反演建模方法来估算某污水厂消化离心机建筑内部的源排放率。传统的反演建模方法根据结构设计将室内环境划分为若干区域,并使用模型来估计源排放率,这些模型假设区域内的浓度呈均匀分布,并通过实验确定区域之间的气流的联系函数来进行模拟。改进后的方法则根据污染物的分布来划分区域,而不是基于建筑物设计,同时识别近场和远场。近场的污染物浓度不满足浓度均匀的假设;远场浓度满足这一假设,并且是唯一用于估算排放率的浓度。改进后的反演建模方法的预测能力已经通过实测排放率值进行了验证;相应的估算和实测气味排放率之间的差异在统计学上并不显著。同样,实测和估算的硫化氢排放率之间的差异也不具有统计学意义。改进后的反演建模方法易于执行,因为它使用气味和气味剂场测量,而不是复杂的腔室排放率测量。

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