Work

Development of an Inexact Regional Aquaculture System Planning Model to Provide Corresponding Optimal Sustainable Resource Allocation Schemes

Year: 2026

Type: article

Abstract: The Guidelines for Sustainable Aquaculture (GSAs) emphasize that formulating proper regional development plans is essential for achieving sustainable growth in aquaculture. Conventional research has limitations in allocating resources from a regional scale, subject to various constraints relating to the social, economic, environmental, and other domains. To fill this research gap, this study proposes an inexact regional aquaculture system planning model (IRAM) to optimally allocate resources including energy, water, area, media, and labor among various aquaculture species across multiple aquafarms under uncertainty. The model is applied to Fujian Province, China, over a 15-year planning horizon (2026–2040, three 5-year periods). As model-based scenario insights derived under specific assumptions, the main findings are as follows: (i) the system cost would increase by [18.75, 20.00]%, while the product output would greatly rise by [41.57, 47.54]% from period 1 to period 3; (ii) renewable energy (wind and solar) would supply [60.32, 81.05]% of the total electricity by period 3; (iii) shallow-sea culture ([48.6, 50.2]%) and pond culture ([17.6, 18.8]%) would receive the highest media allocation via internet platforms, supporting community communication; and (iv) pollutant and carbon emissions would decline due to the adoption of low-carbon feed and renewable energy penetration. The findings are scenario-dependent, and their practical applicability relies on the sensitivity analysis and model code/data availability discussed in the main text. One limitation lies in its inadequate ability to handle stochastic and fuzzy information commonly encountered in real-world planning problems.

Source: Sustainability

DOI: 10.3390/su18178761

Authors: Huabai Liu, Jiawei Li, Chen Cao, Xiao Li, Jing Liu

Institutions: Xiamen Ocean Vocational College, Xiamen University of Technology

Language: English

Topic: Fisheries and Aquaculture Studies

Subfield: General Agricultural and Biological Sciences

Field: Agricultural and Biological Sciences

Domain: Life Sciences

SDGs: Climate action, Clean water and sanitation, Responsible consumption and production, Zero hunger, Industry, innovation and infrastructure

Open Access status: gold

Estimated APC paid: $2,896