Modelling wastewater treatment plant odour dispersion in weak wind conditions: importance of high-resolution meteorological data.

IF 2.2 4区 环境科学与生态学 Q3 ENVIRONMENTAL SCIENCES
Cristiana Morosini, Patrizia Favaron, Elisabetta Zanardini, Vincenzo Torretta
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引用次数: 0

Abstract

Odour emissions from wastewater treatment plants (WWTPs) represent one of the major causes of community's complaints since they can spread over large distances, influenced by air dispersion phenomena and particular topographic or meteorological conditions. The modelling tools, normally used for simulating odour emissions, can be affected by some limitations, often due to the refinement of input meteorological data, thus requiring an accurate evaluation. To investigate this aspect, a measurement campaign was performed at a WWTP located in Northern Italy, where a comparison between a conventional (CA) vs. a 3D ultrasonic anemometer (UA) was carried out from 14 June to 17 July 2018. Even if the UA has been already used in other odour-related studies, to the authors' best knowledge, this represents the first investigation where the results, obtained by feeding dispersion models with CA and UA input data, were compared. The location, the site complex orography and the presence of a conventional meteorological station installed at the plant were the main factors taken into account for the WWTP choice. These features, shared by many other worldwide sites, contribute to make this site representative of a common situation. The comparison showed a huge difference in modelled odour concentrations between the two measurements, suggesting that the use of high-resolution meteorological data, as an input to modelling tools, could help the plant managers to adopt smart strategies for minimizing odour nuisance spread (e.g. a more suitable definition of the daily hours to evacuate the sludge from the plant), therefore reducing community's complaints.

模拟污水处理厂在弱风条件下的气味扩散:高分辨率气象数据的重要性。
受空气扩散现象及特定地形或气象条件的影响,污水处理厂排放的气味可传播很远的距离,是市民投诉的主要原因之一。通常用于模拟气味排放的建模工具可能受到一些限制的影响,这些限制通常是由于输入的气象数据的改进,因此需要进行准确的评估。为了研究这方面的问题,研究人员于2018年6月14日至7月17日在意大利北部的一个污水处理厂进行了一项测量活动,对传统(CA)和3D超声波风速仪(UA)进行了比较。即使UA已经在其他气味相关的研究中使用过,据作者所知,这是第一次将CA和UA输入数据的喂养分散模型获得的结果进行比较。在选择污水处理厂时,考虑的主要因素是选址、场地复杂的地形以及工厂是否设有常规气象站。这些被许多其他世界范围内的站点共享的特性使这个站点代表了一种常见的情况。比较结果显示,两种测量结果在模拟气味浓度方面存在巨大差异,这表明使用高分辨率气象数据作为建模工具的输入,可以帮助工厂管理人员采取明智的策略,以尽量减少气味滋害的传播(例如,更合适地定义每天从工厂排出污泥的时间),从而减少社区的投诉。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Environmental Technology
Environmental Technology 环境科学-环境科学
CiteScore
6.50
自引率
3.60%
发文量
0
审稿时长
4 months
期刊介绍: Environmental Technology is a leading journal for the rapid publication of science and technology papers on a wide range of topics in applied environmental studies, from environmental engineering to environmental biotechnology, the circular economy, municipal and industrial wastewater management, drinking-water treatment, air- and water-pollution control, solid-waste management, industrial hygiene and associated technologies. Environmental Technology is intended to provide rapid publication of new developments in environmental technology. The journal has an international readership with a broad scientific base. Contributions will be accepted from scientists and engineers in industry, government and universities. Accepted manuscripts are generally published within four months. Please note that Environmental Technology does not publish any review papers unless for a specified special issue which is decided by the Editor. Please do submit your review papers to our sister journal Environmental Technology Reviews at http://www.tandfonline.com/toc/tetr20/current
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