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 Submitted: 2022-01-31