Emission of hydrogen sulfide (H2S) at a waterfall in a sewer: study of main factors affecting H2S emission and modeling approaches
| العنوان: | Emission of hydrogen sulfide (H2S) at a waterfall in a sewer: study of main factors affecting H2S emission and modeling approaches |
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| المؤلفون: | Christophe Renner, Laetitia Hatrait, Julien Gouello, Vincent Parez, Daniel Jung, Arnaud Ponthieux |
| المصدر: | Water Science and Technology. 76:2753-2763 |
| بيانات النشر: | IWA Publishing, 2017. |
| سنة النشر: | 2017 |
| مصطلحات موضوعية: | geography, Engineering, Environmental Engineering, Residual standard deviation, geography.geographical_feature_category, business.industry, Hydrogen sulfide, 0208 environmental biotechnology, Environmental engineering, Sampling (statistics), Prediction interval, 02 engineering and technology, Mechanics, 010501 environmental sciences, Waterfall, 01 natural sciences, 020801 environmental engineering, chemistry.chemical_compound, chemistry, Gas transfer, Flow velocity, Linear regression, business, 0105 earth and related environmental sciences, Water Science and Technology |
| الوصف: | Hydrogen sulfide (H2S) represents one of the main odorant gases emitted from sewer networks. A mathematical model can be a fast and low-cost tool for estimating its emission. This study investigates two approaches to modeling H2S gas transfer at a waterfall in a discharge manhole. The first approach is based on an adaptation of oxygen models for H2S emission at a waterfall and the second consists of a new model. An experimental set-up and a statistical data analysis allowed the main factors affecting H2S emission to be studied. A new model of the emission kinetics was developed using linear regression and taking into account H2S liquid concentration, waterfall height and fluid velocity at the outlet pipe of a rising main. Its prediction interval was estimated by the residual standard deviation (15.6%) up to a rate of 2.3 g H2S·h−1. Finally, data coming from four sampling campaigns on sewer networks were used to perform simulations and compare predictions of all developed models. |
| تدمد: | 1996-9732 0273-1223 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_________::e53a69be639729ad53e2d35b6be1f702 https://doi.org/10.2166/wst.2017.428 |
| حقوق: | OPEN |
| رقم الأكسشن: | edsair.doi...........e53a69be639729ad53e2d35b6be1f702 |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 19969732 02731223 |
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