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BULL数据库 - - 在大样本水文学中解读学习的西班牙盆地属性
Javier Senent-Aparicio1, Gerardo Castellanos-Osorio2, Francisco Segura-Méndez2
1Department of Civil Engineering, Catholic University of San Antonio, Campus de los Jerónimos s/n, 30107, Murcia, Spain. jsenent@ucam.edu.
Scientific data
|July 6, 2024
概括
西班牙的新水文数据集BULL提供了484个盆地的广泛数据,包括关键的水文变化分析. 这种开放资源有助于在人类化河流系统中进行大样本水文研究.
科学领域:
- 水文学的水文学
- 环境科学 环境科学
- 数据科学数据科学数据科学
背景情况:
- 西班牙的河流面临着人类的重大影响 (人类化).
- 现有的水文数据集可能缺乏全面的属性或对人类影响的分析.
- 需要开放,大样本的水文数据来研究这些复杂的系统.
研究的目的:
- 引入BULL数据集,这是西班牙的一个新的水文资源.
- 将水文气象学时间序列与多种盆地属性结合起来.
- 分析西班牙盆地的水文变化.
主要方法:
- 汇编了西班牙484个盆地的数据.
- 整合水文气象时间序列,地质,土壤,地形,土地覆盖和人为数据.
- 使用水文建模验证气候数据.
- 对水文变化的分析.
主要成果:
- 布尔数据集为484个盆地提供了全面的数据.
- 它包括详细的属性和验证的气候信息.
- 该数据集独特地包含了水文变化分析.
结论:
- 布尔数据集是西班牙大型样本水文研究的宝贵,开放的资源.
- 它促进了对人类化河流系统的研究.
- 该数据集支持理解人类影响环境中的水文变化.
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