Department of Environmental Engineering, Faculty of Engineering, King Mongkut's University of Technology Thonburi, Bangkok, 10140, Thailand.
Innovation Urban Drainage, Krüger A/S, Gladsaxevej 363, Denmark.
J Environ Manage. 2024 May;358:120852. doi: 10.1016/j.jenvman.2024.120852. Epub 2024 Apr 11.
Hydrogen sulfide (HS) is one of the sewer gases commonly found in wastewater collection systems. This anaerobic degradation product causes issues, ranging from odor nuisances and health hazards to pipe corrosion. Several studies have provided an understanding of HS formation mechanism, including simulations of HS emissions in sewers, especially in pressurized systems. However, the present models necessitate a large amount of data due to the complexity of the HS processes and common routine-monitoring water quality parameters may not fit the requirements. This study aims to simulate the fate and transport of HS in both air and water phases in combined sewers, with a realization of practicableness of the application. The study case is centered around a fresh market in Bangkok, where the sewers are commonly plagued with garbage-related issues. These challenges pose difficulties for site monitoring across various aspects, necessitating the application of unconventional methods. On-site hydrodynamics, wastewater quality, and HS gas concentration data were monitored on hourly and daily bases. It was found that the sulfides in the combined sewerage were correlated with sewage quality, e.g., COD, sulfate (SO), and pH concentrations in particular. The model results were in an acceptable range of accuracy (R = 0.63; NSE = 0.52; RMSE = 1.18) after being calibrated with the measured hydrogen sulfide gas concentration. The results lead to the conclusion that the simplified model is practical and remains effective even in sewers with untraditional conditions. This could hold promise as a fundamental tool in shaping effective HS mitigation strategies.
硫化氢（HS）是废水收集系统中常见的污水气体之一。这种厌氧降解产物会引起问题，包括气味滋扰、健康危害和管道腐蚀。许多研究已经提供了对 HS 形成机制的理解，包括在污水中模拟 HS 排放，特别是在加压系统中。然而，由于 HS 过程的复杂性，目前的模型需要大量的数据，而常见的常规监测水质参数可能不符合要求。本研究旨在模拟合流污水中 HS 在空气和水相中的迁移和转化，并实现应用的实用性。研究案例以曼谷的一个新鲜市场为中心，那里的污水通常存在与垃圾有关的问题。这些挑战给各个方面的现场监测带来了困难，需要应用非常规方法。现场水动力学、废水质量和 HS 气体浓度数据按小时和天进行监测。结果发现，合流污水中的硫化物与污水质量有关，特别是 COD、硫酸盐（SO）和 pH 浓度。经过对测量的 HS 气体浓度进行校准，模型结果具有可接受的准确性范围（R=0.63；NSE=0.52；RMSE=1.18）。结果表明，简化模型在具有非传统条件的污水中是实用且有效的。这可能成为制定有效的 HS 缓解策略的基本工具。
