使用全球降水数据在数据稀缺地区干旱变异的时空特征:一个案例研究在Cauto河流域,古巴
Anh Phuong Tran1, Bao Chung Tran2, Siliennis Blanco Campbell3
1Water Resources Institute, No. 8 Phao Dai Lang, Dong Da, Hanoi, Vietnam. phuongtran.monre@gmail.com.
Scientific reports
|May 22, 2024
概括
在古巴监测干旱情况.
科学领域:
- 水文学的水文学
- 气候学 气候学 气候学
- 环境科学 环境科学
背景情况:
- 干旱在古巴的Cauto河流域构成了与水有关的重大威胁,Cauto河流域是一个重要的农业地区.
- 有效的干旱管理需要详细了解干旱模式.
- 考托盆地有限的地面降水数据阻碍了全面的干旱分析.
研究的目的:
- 分析Cauto河流域干旱的时空变化,使用格式化的全球降水数据.
- 为区域干旱评估校准和验证气候危险组红外降雨与站数据 (CHIRPS).
- 量化干旱特征,如研究区域的频率,持续时间和强度.
主要方法:
- 使用蒂森多边形和线性回归与测量降水,对每月CHIRPS数据进行校准.
- 在3,6,9个月的时间尺度上计算标准化降水指数 (SPI).
- 时空分析和曼-肯达尔趋势测试,以评估干旱变化和趋势.
主要成果:
- 校准的CHIRPS数据与地面观测数据具有很高的一致性,这证明了干旱事件评估的有效性.
- 干旱分析显示,干旱季节的SPI下降趋势,表明干旱严重程度增加,尽管在统计学上并不显著.
- 盆地内的较低海拔地区经历了较长的干旱持续时间和较高的干旱强度,而不是较高的地区.
结论:
- 像CHIRPS这样的开放全球降水数据集是干旱监测在数据稀缺地区的宝贵工具.
- 这项研究强调了校准格式降水数据对了解Cauto河流域干旱动态的有用性.
- 调查结果强调需要有针对性的干旱管理战略,考虑到盆地内干旱严重程度的空间差异.
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