关于孟加拉国土地滑坡易感性测绘研究的审查
1Information and Communication Technology Division, Dhaka, Bangladesh.
Heliyon
|July 31, 2023
概括
这一系统性审查显示,孟加拉国的山体滑坡易感性测绘正在增加,但落后于全球趋势. 机器学习和深度学习应用程序特别有限,阻碍了先进的山体滑坡风险评估.
科学领域:
- 地质科学 地质科学
- 地球表面的过程 地球表面的过程
- 自然危害评估自然危害评估
背景情况:
- 孟加拉国是一个山地国家,经常经历灾难性的山体滑坡,造成严重的经济和社会损害.
- 滑坡易感性测绘是全球和孟加拉国危险评估的关键工具.
- 孟加拉国现有关于山体滑坡的研究需要进行审查,以了解当前的趋势并确定研究缺口.
研究的目的:
- 在孟加拉国对山体滑坡易感性测绘文献进行系统审查.
- 评估与全球进展相比,该研究领域的当代趋势.
- 确定局限性,并指导未来的研究方向,以管理孟加拉国的山体滑坡风险.
主要方法:
- 从专门的网站和手动搜索中对山体滑坡研究进行系统的文献审查.
- 基于出版年,期刊,研究领域,数据类型,方法,变量,DEM特征和准确度的出版物分析.
- 统计分析包括千平方测试和相关性,以评估研究特征和地图准确性之间的关系.
主要成果:
- 孟加拉国的山体滑坡易感性研究集中在Chattogram,Rangamati和Cox's Bazar地区,通常集中在城市中心.
- 虽然出版率正在增加,但它们并不反映全球趋势,机器学习和深度学习算法的使用有限.
- 没有发现基于物理的建模方法;大多数山体滑坡库存依赖于小规模的现场调查.
结论:
- 孟加拉国目前的山体滑坡易感性测绘现状显示,与全球研究相比,公布趋势正在增长,但滞后.
- 在应用先进的计算方法,如机器学习和深度学习方面存在很大的差距.
- 未来的研究应该专注于纳入先进的建模技术,并扩大山体滑坡库存数据的规模,以进行更强大的易感性评估.
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