相关实验视频
Updated: Jan 14, 2026

12:44
Watershed Planning within a Quantitative Scenario Analysis Framework
Published on: July 24, 2016
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DAM-IN:印度大安全研究的综合大捕获属性
Mayank Tiwari1, Saran Aadhar2,3
1Department of Civil and Infrastructure Engineering, Indian Institute of Technology (IIT) Jodhpur, Jodhpur, India.
Scientific data
|October 21, 2025
概括
一个新的数据集详细介绍了印度5715座水的流域属性,包括地形,气候,地质,土壤,土地利用和人类活动. 该资源支持印度次大陆的重要水安全和水资源研究.
科学领域:
- 水文与水资源工程 水文与水资源工程
- 地理空间科学和遥感技术
背景情况:
- 印度次大陆拥有超过5715座水,对经济发展至关重要.
- 了解水流域的特征对于水资源管理和安全至关重要.
研究的目的:
- 为印度次大陆的5715座水创建一个综合的流域属性的数据集.
- 整合多样化的数据源,包括观察,重新分析和遥感数据.
主要方法:
- 利用30米SRTM数据和自动输出口迁移算法来划定水流域.
- 开发了地形,气候,地质,土壤,土地利用/土地覆盖 (LULC) 和人为活动的属性.
- 关于地质,土壤和LULC属性的综合全球和区域数据集.
主要成果:
- 已经成功地开发了5715个印度水的高质量流域属性的数据集.
- 该数据集包括六个关键属性类别:地形,气候,地质/地下水,土壤,LULC和人类活动.
- 包括关于人为活动的数据集,以促进对其对大安全影响的研究.
结论:
- 综合性大数据集为印度的科学研究,大安全评估和影响分析提供了必要的数据.
- 该资源将有助于了解水流域内的复杂相互作用及其对水资源的影响.
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