在喜马拉雅盆地侵蚀景观的特征:从地理空间数据和多标准评估的见解
Parvaiz Ahmad Ganie1,2, Ravindra Posti3, Vidya Shree Bharti4
1ICAR - Directorate of Coldwater Fisheries Research, Bhimtal, Nainital, Uttarakhand- 263136, India. Parvaiz.ganie@icar.gov.in.
Environmental monitoring and assessment
|December 5, 2024
概括
识别山区的土壤侵蚀热点至关重要. 这项研究使用了喜马拉雅河流域的多标准决策 (MCDM) 模型和地理空间技术,发现ARAS-AHP和CODAS-AHP对侵蚀易感性测绘最有效.
科学领域:
- 地球和环境科学 地球和环境科学
- 地质形态学和水文学
- 遥感和地理空间分析
背景情况:
- 山区,比如喜马拉雅河流域,由于坡和崎的地形,非常容易受到水引起的土壤侵蚀.
- 精确识别易受侵蚀的地区对于自然资源的保护和有效的土地管理至关重要.
- 在这些地区,水文数据有限,因此需要采用其他方法进行侵蚀评估.
研究的目的:
- 在印度Uttarakhand的Nandakini河流域识别易受土壤侵蚀的地区.
- 评估四种多标准决策 (MCDM) 模型的性能,这些模型与分析层次过程 (AHP) 集成,用于侵蚀易感性映射.
- 为可持续的流域管理和水资源规划提供见解.
主要方法:
- 利用遥感和地理信息系统 (GIS) 与SRTM DEM和SOI顶表来划分20个流域.
- 采用了四种MCDM模型 (TOPSIS-AHP,VIKOR-AHP,ARAS-AHP,CODAS-AHP),包含了19个形态,地形水文,气候和环境参数.
- 使用斯皮尔曼相关系数,强度和百分比变化指数验证模型疗效.
主要成果:
- 纳达基尼流域 (540.98平方公里) 是一个第六阶流域,具有亚 dendritic 到 dendritic 模式,由于缓慢的下水和高浮标,具有很高的侵蚀脆弱性.
- 地形水文指数表明,水的可用性和侵蚀潜力存在显著的空间变化.
- 与TOPSIS-AHP和VIKOR-AHP相比,ARAS-AHP和CODAS-AHP模型在识别土壤侵蚀易感性方面表现出更高的效率和准确性.
结论:
- 该研究使用集成的MCDM和地理空间技术成功地绘制了Nandakini流域的土壤侵蚀易受性的地图.
- 在数据稀缺的山区环境中,ARAS-AHP和CODAS-AHP是高效的侵蚀风险评估工具.
- 调查结果支持制定有针对性的可持续采水区管理策略和明智的水资源决策.
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