Qiang Zhang, Danzhou Wang, Anlan Feng, Gang Wang, Lei Hu, Chong-Yu Xu, Vijay P. Singh
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引用次数: 0
Abstract
Drought index is the first step in drought monitoring and mitigation. However, nonstationarity in the hydrometeorological data series violates the assumption of stationarity in drought indices. Here we propose a nonstationary standardized precipitation-evapotranspiration index (NSPEIt). We adopt the Penalized Splines (PS) and Stochastic Partial Differential Equations (SPDE) to fit the water deficit (Dt), derive a time-varying log-logistic distribution, and develop two versions of NSPEIt, i.e. NSPEIt-PS and NSPEIt-SPDE. We find that hydrometeorological data series in the Qinghai-Tibet Plateau Region (QTR), East Asian Monsoon Region (EMR) are nonstationary. NSPEIt performed satisfactorily in drought monitoring for both stationary and nonstationary hydrometeorological series. Specifically, NSPEIt-PS had higher drought monitoring performance than NSPEIt-SPDE. We compared standardized precipitation index (SPI), self-calibrated Palmer Drought Severity Index (scPDSI), NSPEIt-PS, NSPEIt-SPDE, soil moisture (SM), and normalized difference vegetation index (NDVI) and found that NSPEIt-PS performed better than NSPEIt-SPDE in drought monitoring and other drought indices considered in this study. However, NSPEIt_SPDE performed better in meteorological drought monitoring but NSPEI_PS was better in agricultural drought monitoring. When compared to historical droughts in 2009, the existing drought indices considered in this study tended to underestimate and/or overestimate drought intensity, whereas NSPEIt-PS and NSPEIt-SPDE captured well droughts with higher intensity, closely describing the spatial evolution of historical meteorological droughts. Results of NSPEIt-PS and NSPEIt-SPDE indicated intensifying droughts in the QTR, and regions with intensifying droughts distributed sporadically in the Northwest Arid and semi-arid Region (NAR) and EMR. Besides, droughts with higher frequency, longer duration, and higher intensity can be monitored in southwest China, the Pearl River Basin and the Yellow River basin.
期刊介绍:
The Journal of Hydrology publishes original research papers and comprehensive reviews in all the subfields of the hydrological sciences including water based management and policy issues that impact on economics and society. These comprise, but are not limited to the physical, chemical, biogeochemical, stochastic and systems aspects of surface and groundwater hydrology, hydrometeorology and hydrogeology. Relevant topics incorporating the insights and methodologies of disciplines such as climatology, water resource systems, hydraulics, agrohydrology, geomorphology, soil science, instrumentation and remote sensing, civil and environmental engineering are included. Social science perspectives on hydrological problems such as resource and ecological economics, environmental sociology, psychology and behavioural science, management and policy analysis are also invited. Multi-and interdisciplinary analyses of hydrological problems are within scope. The science published in the Journal of Hydrology is relevant to catchment scales rather than exclusively to a local scale or site.