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中国污水处理厂数据简介

   中国污水处理厂数据库是一个全面且重要的数据资源,旨在为污水处理行业的研究、管理和决策提供支持。该数据库涵盖了从1985年到2024年的数据,时间跨度长达40年。数据范围广泛,包括省、地级市等多个层面,能够满足不同层次的研究需求。

   数据库中的数据来源广泛且可靠,主要来自统计年鉴、公开信息等渠道。数据内容丰富,涵盖了污水处理厂的类型、名称、地理位置(经度和纬度)、处理规模、工艺类别、具体工艺、污水处理排放标准、污水中化学需氧量(COD)和氨氮(NH₃-N)的年平均浓度、建设年份等多个指标。此外,该数据库还特别包括了地下污水处理厂(U-WWTP)的信息,这种新型污水处理厂已成为城市污水管理的重要范例。

   该网站推出该数据,为污水处理行业的可持续发展提供了重要的数据基础,也为相关研究和政策制定提供了有力支持。


时间区间

中国地下污水处理厂数据表:根据建设年份统计,为1995-2024
中国地上污水处理厂数据表:均无建设年份,无从统计。


字段展示


样本数据

中国地下污水处理厂数据表

中国地上污水处理厂数据表

Local_lonLocal_latScale_WWTPProcess_categoryProcess_category-specificDischarge_standard_WWTPSample_CODSample_NH3-NConstruction_YearSource
经度纬度规模_污水处理厂(104m3/d)工艺类别工艺类别具体污水处理排放标准污水中化学需氧量的年平均浓度(mg/L)污水中氨氮(NH3-N)的(mg/L)建设年份来源14个指标
116.41338439.910925100.0AOActivated sludge processClass 1B390.039.6Yearbook
116.41338439.91092560.0AAOAAOClass 1B478.048.2Yearbook
116.41338439.91092540.0AAOAAOOthers497.046.2Yearbook
116.41338439.91092515.0MBRMBROthers579.038.6Yearbook
116.41338439.9109258.0SBRSBROthers437.050.8Yearbook
116.41338439.91092520.0ODODOthers426.047.8Yearbook
116.41338439.91092510.0MBRMBROthers647.054.5Yearbook
116.41338439.9109254.0AAOAAOOthers516.051.8Yearbook
116.41338439.9109250.4MBRAAO+MBROthers170.1300.0Yearbook
116.41338439.9109252.0AAOAAOAbove Class 1A196.034.3Yearbook
116.41338439.9109252.0ODODOthers217.038.0Yearbook
116.41338439.9109251.0SBRSBROthers201.032.8Yearbook
116.41338439.9109250.4AAOAAOOthers255.043.5Yearbook
116.41338439.9109252.0SBRModified SBRClass 1A256.033.1Yearbook
116.41338439.91092513.0MBRMBRAbove Class 1A487.026.6Yearbook
116.41338439.9109254.5MBRMBRClass 2 and below393.057.9Yearbook
116.41338439.9109253.0MBRAAO+MBRAbove Class 1A437.033.0Yearbook
116.41338439.9109250.5SBRSBRAbove Class 1A697.067.0Yearbook
116.41338439.9109250.1BiofilmBiological contact oxidation processClass 1B805.068.0Yearbook
116.41338439.9109250.2OthersOthersAbove Class 1A303.021.7Yearbook
116.41338439.9109254.0ODCarrousel ODClass 1B386.025.8Yearbook
116.41338439.9109254.0MBRAAO+MBRClass 1A386.025.8Yearbook
116.41338439.91092555.0AOMultiple AOClass 1A425.045.0Yearbook
116.41338439.91092545.0AAONPRClass 1B277.042.4Yearbook
116.41338439.91092545.0AAOAAOClass 1B494.048.1Yearbook
116.41338439.91092540.0AOMultiple AOClass 1B626.047.1Yearbook
116.41338439.91092510.0AAOAAOClass 1B590.036.5Yearbook
117.20809339.09110320.0AOMultiple AOClass 1A354.044.1Yearbook
117.20809339.0911034.0ODModified ODClass 1A503.023.2Yearbook
117.20809339.0911033.0AAOAAOClass 1B351.021.8Yearbook
117.20809339.0911033.0AAOAAOClass 1A379.039.8Yearbook
117.20809339.0911036.0ODOrbal ODClass 1B303.025.6Yearbook
117.20809339.0911035.0ODCarrousel ODClass 1B324.065.5Yearbook
117.20809339.0911031.0AAOAAOClass 1B500.035.0Yearbook
117.20809339.0911033.0AAOAAOClass 1A334.037.9Yearbook
117.20809339.0911037.0AOAOClass 1A298.033.5Yearbook
117.20809339.0911033.7AAOAAOClass 1B326.022.1Yearbook
117.20809339.0911031.0SBRSBRClass 1B239.013.1Yearbook

相关文献

  • Zhou, S., Gong, H., Chen, X. et al. A Dataset of Distribution and Characterization of Underground Wastewater Treatment Plants in China. Sci Data 11, 941 (2024).
  • Xiao, X. et al. Emission and spatial variation characteristics of odorous pollutants in the aerobic tank of an underground wastewater treatment plant (UWWTP) in southern China. Environmental Pollution 346, 123631 (2024).
  • Yang, L., Ping, Z., Zhilong, C. & Pengfei, Z. Impact of urban underground sewage treatment plants on surrounding housing prices: Case study of Beijing, China. Sustainable Cities and Society 99, 104899 (2023).
  • Fu, H. et al. Influencing Factors of Stereotypes on Wastewater Treatment Plants- Case Study of 9 Wastewater Treatment Plants in Xi’an, China. Environmental Management 70, 526–535 (2022).

数据更新频率

年度更新