| Autor: |
Lin Zhang, Yunzhong Shen, Qiujie Chen, Fengwei Wang |
| Jazyk: |
angličtina |
| Rok vydání: |
2023 |
| Předmět: |
|
| Zdroj: |
Journal of Hydrology: Regional Studies, Vol 47, Iss , Pp 101376- (2023) |
| Druh dokumentu: |
article |
| ISSN: |
2214-5818 |
| DOI: |
10.1016/j.ejrh.2023.101376 |
| Popis: |
Study region: Pearl River Basin (PRB) has a tropical to subtropical climate in China. Study focus: An unprecedented extreme flood broke out in PRB during 2014–2016 super El Niño period. We construct the water storage deficit index (WSDI) to quantify this extreme flood event. The principal component analysis approach is used to analyze the WSDI in PRB and El Niño-Southern Oscillation (ENSO) and the sea surface temperature (SST) anomaly in the Tropical Indian Ocean (TIOS) to identify the influence factors. Furthermore, the underlying influence mechanisms are explored via correlation analysis. New hydrological insights for the region: The severity of the extreme flood event was 483.11 km3 with a maximum surplus of terrestrial water storage in February 2016 (76.11 km3). The extreme flood was mainly influenced by the super El Niño and enhanced by TIOS. The WSDI is significantly correlated with ENSO and TIOS, for the first and second principal components, the correlation coefficients are 0.90 and 0.41 for ENSO after a 3-month lag, and 0.86 and 0.66 for TIOS after a 2-month lag, respectively. The super El Niño favored the extreme flood event by intensifying the anticyclones over the South China Sea, the Philippine Sea, and the Bay of Bengal, further promoting the attenuation of the South China Sea Monsoon and the westward extension of West Pacific Subtropical High, inducing more moisture transport towards PRB. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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