ArticleMarine pollution bulletin2020
Four-dimensional evaluation and forecasting of marine carrying capacity in China: Empirical analysis based on the entropy method and grey Verhulst model.
Article in Marine pollution bulletin, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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4 citing papers in PubMed.
- Underwater Impact and Intention-Behaviour Gap of Scuba Divers on Coral Communities in Hong Kong SAR, China.International journal of environmental research and public health · 2023Article
- Spatiotemporal association of rapid urbanization and water-body distribution on hemorrhagic fever with renal syndrome: A case study in the city of Xi'an, China.PLoS neglected tropical diseases · 2022Article
- Study on temporal and spatial differentiation of biocapacity in Shenyang from a multi-scale perspective.PloS one · 2022Article
- Dual effects of environmental regulation on PMEnvironmental science and pollution research international · 2021Article
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3 authors.
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Abstract
This study separates marine carrying capacity into four key dimensions, i.e., social, economic, resource, and ecological, and uses the entropy method to evaluate the carrying capacity of China's 11 coastal regions during the period 2007-2016. We then predict the values of marine carrying capacity in the subsequent five years (2017-2021) using the grey Verhulst model. Results reveal a significant disparity in marine carrying capacity among the 11 coastal regions of China, and social and ecological carrying capacities illustrate among the four subcategories. Pearl River Delta in the south has the highest marine carrying capacity value and shows an increasing trend, while Yangtze River Delta and Bohai Rim Region in the north are stable. With regard to the predicted values for 2017-2021, forecasting results illustrate that the industrial structure of China's coastal areas is gradually turning towards the mode of diversified and comprehensive utilization of marine resources.
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