Water Science and Engineering | |
Drought variability and its connection with large-scale atmospheric circulations in Haihe River Basin | |
Wan-qiu Xing1  Yi-min Ding1  Wei-guang Wang1  Jian-yu Fu2  Yin Huang3  Ze-feng Chen3  Jia Wei3  | |
[1] College of Hydrology and Water Resources, Hohai University, Nanjing 210098, China;Corresponding author.;State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing 210098, China; | |
关键词: Drought; Standardized precipitation index; Standardized precipitation evapotranspiration index; Large-scale atmospheric circulation; | |
DOI : | |
来源: DOAJ |
【 摘 要 】
Drought is one of the most widespread and devastating extreme climate events when water availability is significantly below normal levels for a long period. In recent years, the Haihe River Basin has been threatened by intensified droughts. Therefore, characterization of droughts in the basin is of great importance for sustainable water resources management. In this study, two multi-scalar drought indices, the standardized precipitation evapotranspiration index (SPEI) with potential evapotranspiration calculated by the Penman–Monteith equation and the standardized precipitation index (SPI), were used to evaluate the spatiotemporal variations of drought characteristics from 1961 to 2017 in the Haihe River Basin. In addition, the large-scale atmospheric circulation patterns were used to further explore the potential links between drought trends and climatic anomalies. An increasing tendency in drought duration was detected over the Haihe River Basin with frequent drought events occurring in the period from 1997 to 2003. The results derived from both SPEI and SPI demonstrated that summer droughts were significantly intensified. The analysis of large-scale atmospheric circulation patterns indicated that the intensified summer droughts could be attributed to the positive geopotential height anomalies in Asian mid-high latitudes and the insufficient water vapor fluxes transported from the south.
【 授权许可】
Unknown