A Nonstationary Standardized Precipitation Index for drought assessment: A case study in Hanjiang Basin, China
Abstract
Drought is a well-known natural disaster which has enormous negatively effects on water availability, agriculture and ecosystems. There were numerous drought indices to describe drought characteristics. Most drought indices based on the transforming of statistical probability distributions have an underlying assumption that the hydrological processes and meteorological time series are stationary, which is challenged as the increasing influences of climate change human activities. In an attempt to address nonstationarity in drought assessment, the climate indices were incorporated into the Standardized Precipitation Index (SPI) with a nonlinear structure in this study. Results of application in Hanjiang Basin of China indicated that the Nonstationary Standardized Precipitation Index (NSPI) using climate indices as covariates is more robust than the traditional SPI and could capture the influences of climate variations on drought assessment, showing more effective and flexible ability under changing environment.
- Publication:
-
AGU Fall Meeting Abstracts
- Pub Date:
- December 2019
- Bibcode:
- 2019AGUFM.H21K1891S
- Keywords:
-
- 1812 Drought;
- HYDROLOGY;
- 1817 Extreme events;
- HYDROLOGY;
- 1847 Modeling;
- HYDROLOGY;
- 1880 Water management;
- HYDROLOGY