Scientific Data (Aug 2024)

A Dataset of Distribution and Characterization of Underground Wastewater Treatment Plants in China

  • Shuyan Zhou,
  • Hui Gong,
  • Xiang Chen,
  • Xiankai Wang,
  • Hang Wang,
  • Yanyan Zhang,
  • Danyang Zhu,
  • Xiaoxin Cao,
  • Sen Li,
  • Xiaohu Dai

DOI
https://doi.org/10.1038/s41597-024-03815-x
Journal volume & issue
Vol. 11, no. 1
pp. 1 – 10

Abstract

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Abstract Underground wastewater treatment plants (U-WWTPs) have emerged as a novel paradigm for urban wastewater pollutants management, offering benefits such as alleviating the Not-in-my-backyard (NIMBY) effect and utilizing land resources efficiently. China stands at the forefront, witnessing swift advancements in U-WWTP technology and deployment. However, the absence of a thorough understanding of their geographical distribution and operational characteristics could lead to misaligned planning and construction, resulting in inefficient resource allocation and treatment capacities for urban wastewater treatment. This dataset provides an up-to-date overview of the spatial distribution, process selection, and discharge standards for all U-WWTPs in China (with a total number of 201) constructed since 1995. To enhance comparative analysis, the dataset has been supplemented with information on conventional aboveground wastewater treatment plants (A-WWTPs), comprising a total of 2464 records, which enriches a more comprehensive evaluation of different wastewater treatment approaches. Utilizing this dataset can provide essential data support for the strategic management of urban wastewater systems and serve as a valuable reference for the paradigmatic renovation of existing wastewater treatment plants.