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县级数据集显示了2003年至2022年台湾灾难对农作物的影响
Yuan-Chih Su1, Yuan Shen2, Chun-Yi Wu3
1Department of Agronomy, National Chung Hsing University, Crop Science Building, No. 145, Xingda Road, South District, Taichung City, 40227, Taiwan (R.O.C.).
Scientific data
|February 14, 2024
概括
这项研究为台湾 (2003-2022) 开发了详细的作物灾害和天气数据集. 这些数据集可以分析各种灾害如何影响作物生产,解决现有数据的局限性.
科学领域:
- 农业科学 农业科学
- 灾害管理 灾害管理
- 数据科学数据科学数据科学
背景情况:
- 现有的作物灾害数据集在范围和分辨率上是有限的,由于以人为中心的定义,往往低估了对作物生产的影响.
- 迫切需要全面的数据集来分析小规模灾害对农业的影响.
研究的目的:
- 为台湾开发详细的作物灾难和每日天气数据集,跨越2003-2022年.
- 创建一个强大的资源来分析灾害类型和作物生产损失之间的关系.
主要方法:
- 从台湾官方报告中挖出了9,245份农作物灾难损害记录.
- 从台湾各地的气象站收集每日天气数据.
- 将综合和精细的数据,包括灾害和作物分类,整合成一个全面的数据集.
主要成果:
- 开发了一个独特的作物灾难数据集,包含233个观测和相关的每日天气数据.
- 通过清理,精制和添加分类特征来提高数据集质量.
- 创建了一个有价值的农业影响评估资源.
结论:
- 开发的数据集解决了农业影响分析现有灾害数据库的局限性.
- 本资源有助于更深入地了解不同类型的灾害如何影响台湾的作物生产.
- 能够在未来研究农业的抗灾和减灾战略.
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