基于水文模型和遥感的干旱评估和重建

被引：4

作者：

刘慧 ^{[1
]}

田富强 ^{[1
]}

汤秋鸿 ^{[2
]}

胡和平 ^{[1
]}

机构：

[1] 清华大学水沙科学与水利水电工程国家重点实验室

[2] 中国科学院地理科学与资源研究所

来源：

清华大学学报(自然科学版) | 2013年 / 53卷 / 05期

关键词：

干旱; 水文模型; 遥感; SAD方法;

D O I：

10.16511/j.cnki.qhdxxb.2013.05.003

中图分类号：

P333 [水文分析与计算]; P334.92 [];

学科分类号：

081501 ;

摘要：

为了描述干旱的空间及时间演进过程,并对比土壤水分干旱和植被干旱之间的异同,利用VIC(variable infiltration capacity)水文模型模拟的土壤水分数据及遥感的归一化植被指数(NDVI)产品,基于SAD(severity-area-duration)方法重建了Colorado流域2000—2008年的干旱事件,通过绘制SAD曲线分析了该流域的干旱特征,并比较了不同干旱指标的差异。结果表明:NDVI百分位数(NDVIP)和土壤水分百分位数(SMP)都可以用于重建Colorado流域的主要干旱事件,并描述对应干旱的特征;NDIVP监测的干旱事件持续时间小于SMP监测的结果。NDVIP具有反应干旱和湿润的能力,但其反映长期干旱的能力受植被生长周期的限制。

引用

页码：613 / 617

页数：5

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