Paper
21 February 2024 Suitability analysis of sea sand mining in Guangdong Province based on subjective and objective weighting method
Jinxiang Zhong, Hui Cheng, Yuan Zhou, Bo Ai
Author Affiliations +
Proceedings Volume 12988, Second International Conference on Environmental Remote Sensing and Geographic Information Technology (ERSGIT 2023); 129880S (2024) https://doi.org/10.1117/12.3024828
Event: Second International Conference on Environmental Remote Sensing and Geographic Information Technology (ERSGIT 2023), 2023, Xi’an, China
Abstract
In this study, the offshore sea area is taken as the research object, and the suitability evaluation set of sea sand mining is established. The analytic hierarchy process (subjective weighting method) and the structural entropy weight method (objective weighting method) are used to calculate the weight of each index in the evaluation set, and the game theory is used to organically combine the two to determine the combined weight of the index. The weighted index layers are superimposed by factors, and the natural breakpoint method is used to divide the suitability of sea sand mining in the study area into five categories: suitable, more suitable, generally suitable, less suitable and unsuitable, and the suitability of sea sand mining in the coastal waters of Guangdong Province is analyzed.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Jinxiang Zhong, Hui Cheng, Yuan Zhou, and Bo Ai "Suitability analysis of sea sand mining in Guangdong Province based on subjective and objective weighting method", Proc. SPIE 12988, Second International Conference on Environmental Remote Sensing and Geographic Information Technology (ERSGIT 2023), 129880S (21 February 2024); https://doi.org/10.1117/12.3024828
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KEYWORDS
Sand

Mining

Analytics

Oceanography

Water

Analytical research

Wind speed

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