基于重和云相似性的土地资源承载能力的评估
Changlin Xu1,2, Li Yang3
1School of Mathematics and Information Science, North Minzu University, Yinchuan, 750021, China. xu_changlin@nun.edu.cn.
Scientific reports
|April 20, 2024
概括
本研究引入了评估土地资源承载能力 (LRCC) 的新模型,解决了不确定性. 该模型显示了中国重庆的改进LRCC,突出了未来发展的领域.
科学领域:
- 环境科学 环境科学
- 地理信息科学 地理信息科学
- 资源管理 资源管理
背景情况:
- 土地对人类发展和国家重要性至关重要.
- 评估土地资源承载能力 (LRCC) 对于有效的土地规划至关重要.
- 信息模糊和不确定性在LRCC评估中构成挑战.
研究的目的:
- 为LRCC开发一个全面的评估模型,考虑到信息不确定性.
- 通过青路面实验验验证拟议的模型.
- 评估中国重庆的LRCC,并提供规划见解.
主要方法:
- 基于云模型理论提出了一个综合重和正常云相似性综合的综合评估模型.
- 采用正常云相似度测量和重量方法.
- 将模型应用于使用青路面数据和中国重庆的案例研究的经验分析.
主要成果:
- 拟议的模型通过实验验证证明了可行性和有效性.
- 中国重庆的LRCC在过去十年中表现出改善.
- 在"十二"和"十三"五年计划期间,重庆的综合承载能力从第二级上升到第三级.
结论:
- 开发的模型客观地反映了LRCC,并为土地规划提供了有价值的见解.
- 未来重庆的努力应优先加强土壤和水资源以及经济技术系统.
- 该研究为评估复杂的城市环境中的LRCC提供了强大的框架.
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