Publications by authors named "Shuifa Lin"
Article Synopsis
- This study focuses on the importance of identifying and quantifying factors contributing to uncertainty in greenhouse gas (GHG) mitigation strategies in developing regions.
- It introduces a new method that combines Quasi-Monte Carlo simulation with Sobol variance decomposition, demonstrating significant uncertainty in GHG emissions projections for Anhui Province, China, with a 6.2% emission uncertainty by 2030 and 68.6% by 2060.
- The research highlights that economic factors, particularly per capita GDP, and energy aspects, like renewable energy and UHV electricity import, play crucial roles in this uncertainty, urging policymakers to consider uncertainty analysis in their GHG reduction planning.
China faces a dual challenge of improving air quality and reducing greenhouse gas (GHG) emissions. Stringent clean air actions gradually narrow the end-of-pipe (EOP) pollution control potential. Meanwhile, pursuing carbon peaking will reduce air pollution and health risks.
View Article and Find Full Text PDFIn Africa, water resources pervade multiple sustainable development goals (SDGs), which mainly focus on eliminating poverty (SDG 1) and hunger (SDG 2), promoting good health and well-being (SDG 3) and supporting clean water and sanitation (SDG 6). Africa's water scarcity problems have been worsened by population growth and climate change. Agriculture is the largest consumer of water in Africa, and a clear understanding of the water-food nexus is necessary to effectively alleviate water-related pressures on food security.
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