现代信息科技2024，Vol.8Issue(14)：125-129,135,6.DOI:10.19850/j.cnki.2096-4706.2024.14.026
基于马尔可夫链的草原沙漠化模拟模型
Grassland Desertification Simulation Model Based on Markov Chain
姜屿涵1
作者信息
- 1. 武汉大学 测绘遥感信息工程国家重点实验室,湖北 武汉 430079
- 折叠
摘要
Abstract
This paper simulates and analyzes the possibility of grassland desertification in local areas of Etuoke Banner,Inner Mongolia.Aiming at the grassland ecology and environment,four models are established by using the NetLogo simulation platform to simulate the progress of grassland desertification.These models include the weather prediction model based on Markov Chain,the grass growth model,the life model of sheep and wolves,and the model for desert expansion.The results indicate the region's ecological carrying capacity is extremely fragile.It is recommended that relevant government authorities restrict herding activities and implement grazing bans in the area.Early measures should be taken for restoration,while afforestation efforts should be carried out in areas that have already undergone desertification to mitigate the advancement of regional desertification.关键词
草原沙漠化/气候/过度放牧/马尔可夫链/NetLogoKey words
grassland desertification/climate/overgrazing/Markov Chain/NetLogo分类
信息技术与安全科学引用本文复制引用
姜屿涵..基于马尔可夫链的草原沙漠化模拟模型[J].现代信息科技,2024,8(14):125-129,135,6.
