Paper
18 February 2022 Typical grassland ecological policy driven model based on multi-agent system
Le Zhang, Lihu Pan, Chunxia Liu, Huimin Yan, Rui Zhang
Author Affiliations +
Proceedings Volume 12162, International Conference on High Performance Computing and Communication (HPCCE 2021); 1216217 (2022) https://doi.org/10.1117/12.2628047
Event: 2021 International Conference on High Performance Computing and Communication, 2021, Guangzhou, China
Abstract
Alleviating the imbalance between grassland ecological protection and economy at this stage is conducive to strengthening grassland ecological construction in China. The multi-agent-based grassland ecological policy driving model adopts the idea of multi-agent simulation modeling, formulates various agent behavior rules based on real data, and realizes the interactive behavior between agents by changing the influence factors. The model takes the Xilin Gol League in Inner Mongolia as an example to simulate the interaction between herdsmen, herder's family and the government under different scenarios, visualizes the grassland land utilization rate, pressure index, per capita income, livestock breeding rate and so on in the next 30 years, and maximizes the ecological and economic benefits by adjusting policies and strategies. The simulation results show that the current herdsmen are gradually shifting to urban employment, and the government regulation can continuously improve the comprehensive benefits, which not only improves the herdsmen's living wellbeing, but also achieves the effect of protecting the ecological environment. The model can predict the future development trend of grassland and the living standards of herdsmen under different policies, which is helpful for the government to grasp the direction of decision-making and maintain the ecological balance of grassland.
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Le Zhang, Lihu Pan, Chunxia Liu, Huimin Yan, and Rui Zhang "Typical grassland ecological policy driven model based on multi-agent system", Proc. SPIE 12162, International Conference on High Performance Computing and Communication (HPCCE 2021), 1216217 (18 February 2022); https://doi.org/10.1117/12.2628047
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KEYWORDS
Data modeling

Ecology

Ecosystems

Mathematical modeling

Process modeling

Systems modeling

Computer simulations

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