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利用地面遥感技术对污水处理厂及其附近沼气生产厂的 CH 和 NO 通量进行测量,并发现了一些意想不到的污染源。

Ground-based remote sensing of CH and NO fluxes from a wastewater treatment plant and nearby biogas production with discoveries of unexpected sources.

机构信息

Department of Thematic Studies - Environmental Change, Linköping University, 581 83, Linköping, Sweden.

Tekniska Verken i Linköping AB, Box 1500, 581 15, Linköping, Sweden.

出版信息

Environ Res. 2022 Mar;204(Pt B):111978. doi: 10.1016/j.envres.2021.111978. Epub 2021 Sep 2.

DOI:10.1016/j.envres.2021.111978
PMID:34480946
Abstract

This study is an attempt to assess CH and NO emissions from all the treatment steps of a wastewater treatment plant (WWTP) in Sweden, serving 145 000 persons, and an adjacent biogas production facility. We have used novel mid-IR ground-based remote sensing with a hyperspectral camera to visualize and quantify the emissions on 21 days during a year, with resulting yearly fluxes of 90.4 ± 4.3 tonne CH/yr and 10.9 ± 1.3 tonne NO/yr for the entire plant. The most highly emitting CH source was found to be sludge storage, which is seldom included in literature as in-situ methods are not suitable for measuring emissions extended over large surfaces, still contributing 90 % to the total CH emission in our case. The dominating NO source was found to be a Stable High rate Ammonia Removal Over Nitrite reactor, contributing 89 % to the total NO emissions. We also discovered several unexpected CH sources. Incomplete flaring of CH gave fluxes of at least 30 kg CH/min, corresponding to plume concentrations of 2.5 %. Such highly episodic fluxes could double the plant-wide yearly emissions if they occur 2 days per year. From a distance of 250 m we found a leak in the biogas production facility, corresponding to 1.1 % of the CH produced, and that loading of organic material onto trucks from a biofertilizer storage tank contributed with high emissions during loading events. These results indicate that WWTP emissions globally may have been grossly underestimated and that it is essential to have effective methods that can measure all types of fluxes, and discover new potential sources, in order to make adequate priorities and to take effective actions to mitigate greenhouse gas emissions from WWTPs.

摘要

本研究旨在评估瑞典一家服务 14.5 万人的污水处理厂(WWTP)及其相邻沼气生产设施所有处理步骤的 CH 和 NO 排放。我们使用新型中红外地面遥感技术和高光谱相机,在一年中的 21 天内对排放进行可视化和量化,得出全年通量为 90.4±4.3 吨 CH/yr 和 10.9±1.3 吨 NO/yr。发现最主要的 CH 排放源是污泥储存,由于原位方法不适合测量大面积的排放,因此很少在文献中进行报道,但在我们的情况下,它仍对总 CH 排放量贡献了 90%。发现主要的 NO 排放源是稳定的高氨氮去除亚硝酸反应器,对总 NO 排放量的贡献达到 89%。我们还发现了几个意外的 CH 排放源。CH 的不完全燃烧导致通量至少为 30kg CH/min,相应的羽流浓度为 2.5%。如果这种高度突发的通量每年发生 2 天,那么可能会使全厂每年的排放量增加一倍。在 250m 的距离处,我们发现沼气生产设施存在一处泄漏,相当于所产 CH 的 1.1%,而且从生物肥料储存罐装载有机材料到卡车上也会在装载过程中产生高排放。这些结果表明,全球范围内的 WWTP 排放量可能被严重低估,因此必须采用有效的方法来测量各种类型的通量,并发现新的潜在排放源,以便为 WWTP 温室气体减排制定适当的优先事项并采取有效行动。

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