Synergic Benefits of Air Pollutant Reduction, CO2 Emission Abatement, and Water Saving under the Goal of Achieving Carbon Emission Peak: The Case of Tangshan City, China

Int J Environ Res Public Health. 2022 Jun 10;19(12):7145. doi: 10.3390/ijerph19127145.

Abstract

The study aims to explore the synergic benefits of reducing air pollutants and CO2 and water consumption under the carbon emission peak (CEP) policies at a city level. Air pollutants and CO2 emissions are predicted by the Low Emissions Analysis Platform (LEAP) model, and the water consumption is forecast by the quota method. Two scenarios are constructed with the same policies, but to different degrees: the reference scenario achieves CEP in 2030, and the green and low carbon scenario achieves CEP in 2025. The prediction results show that air pollutant emissions, CO2 emissions, and water consumption can be obviously decreased by intensifying the CEP policies. The synergic abatement effect was illustrated by the synergic reduction curve. Accelerating the adjustment of economic structure saves the most water, reduces the greatest amount of CO2 emission, and also obtains the best synergic reduction capability between water consumption and CO2 emission. Transforming the traditionally long process of steelmaking toward a short electric process reduces the majority of PM2.5, SO2, and VOC emissions, while consuming more water. The study provides a new viewpoint to assess and optimize the CEP action plan at city levels.

Keywords: CO2 emission; LEAP model; air pollutants; carbon emission peak; synergic benefits; water consumption.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Air Pollutants* / analysis
  • Air Pollution* / analysis
  • Air Pollution* / prevention & control
  • Carbon / analysis
  • Carbon Dioxide / analysis
  • China
  • Goals
  • Water / analysis

Substances

  • Air Pollutants
  • Water
  • Carbon Dioxide
  • Carbon

Grants and funding

This research was funded by the National Natural Science Foundation of China (Youth Science Fund Project) “Zoning control of ozone pollution based on multi-source data”, grant number 42107502.