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Technical Papers

Odor Emission Rate Estimation of Indoor Industrial Sources Using a Modified Inverse Modeling Method

Xiang Li Department of Civil, Architectural, and Environmental Engineering, Illinois Institute of Technology, Chicago, IL, USA

Tingting Wang Department of Civil, Architectural, and Environmental Engineering, Illinois Institute of Technology, Chicago, IL, USA

Chakkrid Sattayatewa Department of Civil, Architectural, and Environmental Engineering, Illinois Institute of Technology, Chicago, IL, USA

Dhesikan Venkatesan Department of Civil, Architectural, and Environmental Engineering, Illinois Institute of Technology, Chicago, IL, USA

Kenneth E. Noll Department of Civil, Architectural, and Environmental Engineering, Illinois Institute of Technology, Chicago, IL, USA

Krishna R. Pagilla Department of Civil, Architectural, and Environmental Engineering, Illinois Institute of Technology, Chicago, IL, USA

Demetrios J. Moschandreas Department of Civil, Architectural, and Environmental Engineering, Illinois Institute of Technology, Chicago, IL, USACorrespondence[email protected]

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Figures & data

Figure 1. A diagram of centrifuge chutes and conveyors transporting biosolids.

Figure 2. Forward and inverse modeling illustration.

Table 1. Mean, SD, percentiles, and sample size of measured odor concentration values (OU/m³) in different regions of each building (based on 7-day measurements)

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Figure 3. Box plots of ED₅₀ values for the old building (far and near fields) and new building (far and near fields).

Figure 3. Box plots of ED50 values for the old building (far and near fields) and new building (far and near fields).

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Odor Emission Rate Estimation of Indoor Industrial Sources Using a Modified Inverse Modeling Method

Table 1. Mean, SD, percentiles, and sample size of measured odor concentration values (OU/m³) in different regions of each building (based on 7-day measurements)

Table 2. Total odor emission rates measured in each building

Table 3. Emission rates in three building fields estimated by inverse modeling

Table 4. Summary of statistical comparisons between measured and modeled values

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Odor Emission Rate Estimation of Indoor Industrial Sources Using a Modified Inverse Modeling Method

Figures & data

Table 1. Mean, SD, percentiles, and sample size of measured odor concentration values (OU/m3) in different regions of each building (based on 7-day measurements)

Table 2. Total odor emission rates measured in each building

Table 3. Emission rates in three building fields estimated by inverse modeling

Table 4. Summary of statistical comparisons between measured and modeled values

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Table 1. Mean, SD, percentiles, and sample size of measured odor concentration values (OU/m³) in different regions of each building (based on 7-day measurements)