Data underlying the publication: ‘Wang et al (2022) Accounting for interactions between Sustainable Development Goals is essential for water pollution control in China. Nature Communications’

Dataset

Description

In this study, we identify and analyze the interactions between the Sustainable Development Goals (SDGs) in the perspective of water pollution in China. The data that are collected or generated include: literature, methods to identify the SDGs' interactions, and identified SDGs' interactions. Next, we conduct a scenarios analysis to explore the co-benefits of water pollution control, based on the MARINA (Model to Assess River Inputs of Nutrients to seAs) 2.0 model. The data that are generated include: model equations, model inputs, and model outputs. Last, we perform a sensitivity analysis to evaluate the impacts of the quantitative assumptions on the effectiveness of our scenarios. The data generated from this include: changes in model inputs, and model outputs of the sensitivity analysis.
Date made available16 Feb 2022
PublisherWageningen University & Research
Temporal coverage2010 - 2050
Geographical coverageChina

Keywords

  • sustainable development goals
  • synergies
  • trade-offs
  • water pollution control
  • scenarios

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