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污水管道危害性气体浓度分布模型扩展与验证 被引量:3

Extension and validation of the model of hazard gas concentration distribution in sewer
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摘要 污水管道危害气体分布模型的建立对管道的维护管理具有重要意义。以SewerX模型为基础,将硫酸盐还原作为产生CO的主要生化过程,并入污水管道总生化反应体系,扩展SewerX模型,建立了污水管道内CO、H_2S、CH_4的浓度分布应用模型。将其应用到某市长度为4 100 m污水管道,管道危害气体浓度模拟结果与实测结果比对发现,浓度变化趋势一致,相关系数达到0.99以上,表明扩展模型具有实际应用价值。在一定设计流量下,可选择不同污水管道水力参数,应用扩展模型分析表明,合理选择参数可降低污水管道危害气体浓度。研究为污水管道内危害性气体浓度的预测提供参考。 The model of hazardous gas concentration distribution in sewer plays an important role in sewer maintenance.Based on SewerX model,sulfate reduction was selected as the main biochemical process of CO production and incorporated into the total biochemical reaction system in sewer.Then the SewerX model was extended and the model capable of predicting H2 S,CH4 and CO concentration along sewer was built.The model was calibrated and validated based on a series of sewers(4 100 m total)in a city in China.It was found that the simulation results for the hazardous gas concentration presented the same trend with the measured results,and their correlation coefficient was over 0.99,which indicated that the developed model has practical application value.At a certain design flow rate,hydraulic parameters of sewer could be selected.The application of the extended model indicated that the hazardous gas concentration in sewer could be reduced when reasonable hydraulic parameters was selected.The study provides a reference for predicting the hazardous gas concentration in sewer.
作者 闫森 丁艳萍 郑才林 廖邦友 宋光顺 陈军 卢金锁 YAN Sen;DING Yanping;ZHENG Cailin;LIAO Bangyou;SONG Guangshun;CHEN Jun;LU Jinsuo(Key Laboratory of Northwest Water Resources,Environment and Ecology,Ministry of Education,Xi'an University of Architecture and Technology,Xi'an 710055,China;School of Business and Management,Xi'an University of Architecture and Technology,Xi'an 710055,China;Ankang Municipal Facilities Management Office,Ankang 725000,China;Xi'an Municipal Engineering Design&Research Institute Co.Ltd.,Xi'an 710068,China)
出处 《环境工程学报》 CAS CSCD 北大核心 2019年第5期1228-1236,共9页 Chinese Journal of Environmental Engineering
基金 国家自然科学基金资助项目(51778523)
关键词 污水管道 一氧化碳 预测模型 水力参数 sewer carbon monoxide model prediction hydraulic parameters
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