Journal
SCIENCE OF THE TOTAL ENVIRONMENT
Volume 797, Issue -, Pages -Publisher
ELSEVIER
DOI: 10.1016/j.scitotenv.2021.149168
Keywords
Ocean solutions; Carbon reduction; Climate change; China
Categories
Funding
- Ministry of Science and Technology of the People's Republic of China [2019YFD0901305]
Ask authors/readers for more resources
Climate change is a major challenge for humanity, with ocean-based solutions playing a vital role in climate regulation. Developing these solutions can significantly contribute to carbon emission reduction efforts, with marine energy and low-carbon shipping showing promising potential for emission reduction in China.
Climate change has become a great challenge for humanity. However, the current climate change mitigation measures, primarily concentrate on land, more or less neglecting the vital role of the ocean-based solutions. While the ocean is a crucial regulator of the global climate, ocean-based solutions could also play an essential role in climate change mitigation and policymaking. This paper developed an Ocean-based Solutions Carbon Reduction Assessment Model (OSCRAM) that addresses coastal ecosystems, ocean energy, marine transportation, fishery, and seabed to estimate the oceanic contribution to climate change mitigation. It has been applied to evaluate the capacity of carbon emission reduction through oceans in China. We found that the total contribution for carbon emission reduction was about 6.86 Tg CO2 per year, and it may reach 139.39 Tg in 2030 under the target scenario. The results indicated that the ocean has huge potential to reduce carbon emissions. The development of marine energy and low-carbon marine shipping may have more potential for emission reduction in China, and the government should also protect and restore coastal wetlands for their enormous carbon storage. It can also provide a reference for the globe and other nations in achieving emission reduction goals. (C) 2021 Elsevier B.V. All rights reserved.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available