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India flood inventory: creation of a multi-source national geospatial database to facilitate comprehensive flood research
Natural Hazards ( IF 3.7 ) Pub Date : 2021-03-30 , DOI: 10.1007/s11069-021-04698-6
Manabendra Saharia , Avish Jain , Ronit Raj Baishya , Saagar Haobam , O. P. Sreejith , D. S. Pai , Arezoo Rafieeinasab

Floods are one of the most devastating natural hazards across the world, with India being one of the worst affected countries in terms of fatalities and economic damage. In-depth research is required in order to understand the complex hydrometeorological and geomorphic factors at play and design solutions to minimize the impact of floods. But the existence of a historical inventory of floods is imperative to promote such research endeavors. Though, a few global inventories exist, they lack the spatio-temporal fidelity necessary to make them useful for computational research due to reasons such as concentrating exclusively on large floods, limited temporal scope, non-standard data formats. Therefore, there is an urgent need for developing a new database that combines data from global and hitherto-underutilized local datasets using an extensible and common schema. This paper describes the ongoing effort of building the India Flood Inventory (IFI), which is the first freely available, analysis-ready geospatial dataset over the region with detailed qualitative and quantitative information regarding floods, including spatial extents. The paper outlines the methodology that has been adopted as well as some preliminary findings using the data contained in this inventory. This dataset is expected to advance the understanding of flood processes in the worst affected region of the world.



中文翻译:

印度洪水清单:创建多源国家地理空间数据库,以促进全面的洪水研究

洪水是全世界最严重的自然灾害之一,就死亡和经济损失而言,印度是受影响最严重的国家之一。为了理解复杂的水文气象和地貌因素,需要进行深入研究,并设计解决方案以最大程度地减少洪水的影响。但是,必须有历史洪水清单以促进此类研究工作。尽管存在一些全球清单,但由于诸如仅专注于大洪水,有限的时间范围,非标准数据格式等原因,它们缺乏使它们可用于计算研究所需的时空保真度。所以,迫切需要开发一个新数据库,该数据库使用可扩展且通用的模式将来自全局数据集和迄今未充分利用的本地数据集的数据进行组合。本文介绍了建立印度洪水清单(IFI)的正在进行的工作,该清单是该地区第一个免费的,可用于分析的地理空间数据集,其中包含有关洪水的详细定性和定量信息,包括空间范围。本文概述了已采用的方法以及使用此清单中包含的数据得出的一些初步发现。预计该数据集将促进对世界上受灾最严重地区的洪水过程的理解。具有该区域分析功能的地理空间数据集,其中包含有关洪水(包括空间范围)的详细定性和定量信息。本文概述了已采用的方法以及使用此清单中包含的数据得出的一些初步发现。预计该数据集将促进对世界上受灾最严重地区的洪水过程的理解。具有该区域分析功能的地理空间数据集,其中包含有关洪水(包括空间范围)的详细定性和定量信息。本文概述了已采用的方法以及使用此清单中包含的数据得出的一些初步发现。预计该数据集将促进对世界上受灾最严重地区的洪水过程的理解。

更新日期:2021-03-30
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