SPATIO-TEMPORAL PATTERNS OF RAINY-SEASON FEATURES AND ANALYSIS OF TELECONNETION IN THE YANGTZE RIVER BASIN

CAO Qing; ZHANG Han-chen; CHEN Xi; ZHANG Yue-guan

doi:10.13205/j.hjgc.202209014

Volume 40 Issue 9

Nov. 2022

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Article Navigation > ENVIRONMENTAL ENGINEERING > 2022 > 40(9): 101-107

ZHANG Zhi-jie, WEN Fei, ZHANG Ya-qun, ZHOU Jing, FENG Ai-ping. CHARACTERISTICS AND SOURCE ANALYSIS OF NON-POINT SOURCE POLLUTION LOAD IN THE YELLOW RIVER BASIN ON A REGIONAL SCALE[J]. ENVIRONMENTAL ENGINEERING , 2022, 40(9): 81-88,142. doi: 10.13205/j.hjgc.202209011

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CAO Qing, ZHANG Han-chen, CHEN Xi, ZHANG Yue-guan. SPATIO-TEMPORAL PATTERNS OF RAINY-SEASON FEATURES AND ANALYSIS OF TELECONNETION IN THE YANGTZE RIVER BASIN[J]. ENVIRONMENTAL ENGINEERING , 2022, 40(9): 101-107. doi: 10.13205/j.hjgc.202209014

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SPATIO-TEMPORAL PATTERNS OF RAINY-SEASON FEATURES AND ANALYSIS OF TELECONNETION IN THE YANGTZE RIVER BASIN

doi: 10.13205/j.hjgc.202209014

CAO Qing^1,2,3,
ZHANG Han-chen^{4
,
,},
CHEN Xi^3,5,
ZHANG Yue-guan^3,6

1. School of Hydrology and Water Resources, Nanjing University of Information Science and Technology, Nanjing 210044, China;
2. Key Laboratory of Hydrometeorological Disaster Mechanism and Warning of Ministry of Water Resources, Nanjing University of Information Science and Technology, Nanjing 210044, China;
3. State Key Laboratory of Hydrology Water Resources and Hydraulic Engineering, Hohai University, Nanjing 210098, China;
4. School of Geography and Planning, Ningxia University, Yinchuan 750021, China;
5. Bureau of Hydrology, Changjiang Water Resources Commission, Wuhan 430010, China;
6. Department of Water Conservancy and Hydropower Engineering, Xihua University, Chengdu 610039, China

Received Date: 2021-11-24
Available Online: 2022-11-09

Abstract

Abstract

In this paper, rainfall data in 126 meteorological stations from 1960 to 2020 over the Yangtze River basin were chosen to explore spatial and temporal patterns of rainy-season features(i.e., onset, retreat, and rainy-season precipitation). The multi-scale moving t-test was used to capture the onset and retreat of the rainy season in different stations. Furthermore, the teleconnections between seas surface temperature and rainy-season features were calculated to explore the underlying causes of the variability of rainy-season features.Resultsshowed that onset, retreat, and rainy-season precipitation had prominent characteristics of inter-decadal and spatial changes. In terms of spatial patterns, onset, retreat, and rainy-season precipitation changed from southeast to northwest. The temporal regular of rainy-season features from 1960 to 2020 was explored. The Pettitt test was applied to detect the abruption point of rainy-season characteristics. It showed that the abruption points of rainy-season features were related to ENSO events. Furthermore, rainy-season features were related to ENSO and anti-cyclone in the northern Pacific Ocean. Warmer sea surface temperature would cause a later onset, earlier retreat, and less rainfall, which played a crucial role in water management in the Yangtze River basin.
- rainy-season features,
- spatiotemporal patterns,
- Yangtze River basin,
- sea surface temperature

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References

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