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首页> 外文期刊>Journal of the Air & Waste Management Association >Estimation of hydrogen sulfide emission rates at several wastewater treatment plants through experimental concentration measurements and dispersion modeling
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Estimation of hydrogen sulfide emission rates at several wastewater treatment plants through experimental concentration measurements and dispersion modeling

机译:通过实验浓度测量和分散模型估算一些废水处理厂的硫化氢排放速率

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摘要

The management and operation of wastewater treatment plants (WWTP) usually involve the release into the atmosphere of malodorous substances with the potential to reduce the quality of life of people living nearby. In this type of facility, anaerobic degradation processes contribute to the generation of hydrogen sulfide (H_2S), often at quite high concentrations; thus, the presence of this chemical compound in the atmosphere can be a good indicator of the occurrence and intensity of the olfactory impact in a specific area. The present paper describes the experimental and modelling work being carried out by CEAM-UMH in the surroundings of several wastewater treatment plants located in the Valencia Autonomous Community (Spain). This work has permitted the estimation of H_2S emission rates at different WWTPs under different environmental and operating conditions. Our methodological approach for analyzing and describing the most relevant aspects of the olfactory impact consisted of several experimental campaigns involving intensive field measurements using passive samplers in the vicinity of several WWTPs, in combination with numerical simulation results from a diagnostic dispersion model. A meteorological tower at each WWTP provided the input values for the dispersion code, ensuring a good fit of the advective component and therefore more confidence in the modelled concentration field in response to environmental conditions. Then, comparisons between simulated and experimental H_2S concentrations yielded estimates of the global emission rate for this substance at several WWTPs at different time periods. The results obtained show a certain degree of temporal and spatial (between-plant) variability (possibly due to both operational and environmental conditions). Nevertheless, and more importantly, the results show a high degree of uniformity in the estimates, which consistently stay within the same order of magnitude.
机译:废水处理厂(WWTP)的管理和运营通常涉及将恶臭物质释放到大气中,这有可能降低附近居民的生活质量。在这种类型的设备中,厌氧降解过程通常以很高的浓度促成硫化氢(H_2S)的产生。因此,该化合物在大气中的存在可以很好地指示特定区域内嗅觉影响的发生和强度。本文介绍了CEAM-UMH在位于巴伦西亚自治区(西班牙)的数个废水处理厂周围进行的实验和建模工作。这项工作允许在不同的环境和操作条件下估算不同污水处理厂的H_2S排放速率。我们用于分析和描述嗅觉影响最相关方面的方法学方法,包括多个实验活动,其中包括在多个污水处理厂附近使用无源采样器进行密集场测量,并结合诊断弥散模型的数值模拟结果。每个污水处理厂的气象塔都提供了色散代码的输入值,从而确保对流组件的良好拟合,并因此对响应环境条件的模拟浓度场更具信心。然后,在模拟和实验H_2S浓度之间进行比较,得出了该物质在不同时期在多个污水处理厂的全球排放率的估计值。获得的结果显示出一定程度的时间和空间(植物之间)变化(可能是由于操作条件和环境条件所致)。但是,更重要的是,结果显示出估算值的高度一致性,始终保持在相同的数量级内。

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