Modeling of H2S Dispersion in Brazil with Aermod: Case Study of Water Resource Recovery Facility In South of Brazil

Abstract

Water Resource Recovery Facility (WRRF) can be source of odorous gases. We analyzed the emission and dispersion of hydrogen sulfide gas (H2S), odor indicator, produced during the anaerobic treatment of wastewaters, using WATER9 and AERMOD models for two distinct events: August 2013 and February-March 2014. Data from two WRRF in Brazil were used to feed the model and a statistical data validation was performed, followed by an evaluation of model results regarding H2S emission and dispersion. Daily peak events and averages over the two periods were calculated. Results show a good performance from the model in comparison to the observations. Moreover, odor plumes typically reached 2-4 km from their sources and they may be strongly affected by atmospheric stability/instability conditions in the events analyzed and, in general, only the residences at the vicinity of WRRF were affected by the pollutant odor. Finally, the methodology presented showed to be feasible and realistic for purposes of WRRF planning and management.

Modelling of hydrogen sulfide fate and emissions in extended aeration sewage treatment plant using TOXCHEM simulations

“…The TOXCHEM model could sufficiently describe the experimental data of H 2 S fate and emission. In comparison with other studies on the modeling of H 2 S using AERMOD 7 , CALPUFF 14 , and GOSTELOW 15 , statistical analysis of TOXCHEM V4.1 model are very satisfactory to study H 2 S due to valid prediction with less limitations and errors.

Figure 2 The comparison of measured (x-axis) and predicted (y-axis) H 2 S: ( a ) emitted to atmosphere and ( b ) discharged with effluent.

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“…The mechanisms of pollutants removal in these models are the degradation and volatilization from different processes. Such mechanisms depends on biological reactions and mass transfer in the liquid and gas phases 7 .…”

Evaluation Model of Regional Water Resources Sustainable Utilization Based on Neural Network

“…The sustainable utilization of WR cannot exceed people's understanding level, living standards and demand conditions, and cannot be separated from the actual situation of regional social and economic development and WR conditions [13]. It should be achieved by applying science and technology according to local conditions and adopting human intervention measures such as planning, construction and management [14]. Use the comprehensive index evaluation method to manage WR sustainably.…”

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“…Outros exemplos de aplicação de modelos de dispersão em ETEs são dados por Augusto et al (2017), onde os autores investigaram a dispersão do H 2 S emitido por um reator UASB localizado no município de Itajubá (MG), e Miranda (2017), que investigou a dispersão atmosférica de H 2 S emitido por uma ETE em Belo Horizonte (MG). Já Augusto et al (2019) modelou a dispersão de H 2 S em uma estação de recuperação de recursos hídricos.…”