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Characteristics of Consecutive Dry Days and Its Relationship with Circulation Index in the Huaihe River Basin
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Hong-wei MAa, b, Qian ZHANGa, b, Jin HUANGa, b, Fang-min ZHANGa, b
Water Resources and Power | 2023, 41(11) : 1 - 4
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Water Resources and Power | 2023, 41(11): 1-4
HYDROLOGY, WATER RESOURCES AND ENVIRONMENT
Characteristics of Consecutive Dry Days and Its Relationship with Circulation Index in the Huaihe River Basin
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Hong-wei MAa, b, Qian ZHANGa, b, Jin HUANGa, b, Fang-min ZHANGa, b
Affiliations
  • a.Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science & Technology, Nanjing 210044, China
  • b.Jiangsu Key Laboratory of Agricultural Meteorology, College of Applied Meteorology, Nanjing University of Information Science & Technology, Nanjing 210044, China
Published: 2023-11-25 doi: 10.20040/j.cnki.1000-7709.2023.20230089
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Based on the daily precipitation data of 38 meteorological stations in the Huaihe River Basin from 1961 to 2020, the consecutive dry days (CDD) were selected. The variation characteristics of CDD and its response to 12 circulation index at different time scales were analyzed by using M-K trend test, principal component analysis, the lag correlation analysis and cross wavelet transform. The results indicate that the spatial distribution of CDD in Huaihe River Basin had obvious seasonal characteristics. It was high in the west and low in the east in summer, and high in the north and low in the south in spring, autumn and winter. In the past 60 years, the changes of CDD in different seasons were also different. The CDD increased in most stations and the basin tended to become dry in autumn, but the CDD decreased in all stations and drought slowed down in the basin in winter. The CDD with different time lags had good correlations with the WP, SOI and Nino4, and the strongest correlation with Nino4. The Nino4 had a significant strengthening effect on the CDD with a lag of 4 and 5 months, and a significant weakening effect on the CDD with a lag of 10 and 11 months. The significant influence of Nino4 on CDD was mainly concentrated in the resonance period of 10-15 months, and there was a significant negative correlation between Nino4 and CDD. The finding is prone to useful for drought prediction and water resources management in the future.

Huaihe River Basin  /  consecutive dry days  /  circulation index  /  principal component analysis
Hong-wei MA, Qian ZHANG, Jin HUANG, Fang-min ZHANG. Characteristics of Consecutive Dry Days and Its Relationship with Circulation Index in the Huaihe River Basin[J]. Water Resources and Power, 2023 , 41 (11) : 1 -4 . DOI: 10.20040/j.cnki.1000-7709.2023.20230089
Year 2023 volume 41 Issue 11
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Article Info
doi: 10.20040/j.cnki.1000-7709.2023.20230089
  • Receive Date:2023-01-19
  • Online Date:2026-01-27
  • Published:2023-11-25
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History
  • Received:2023-01-19
  • Revised:2023-02-14
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Affiliations
    a.Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science & Technology, Nanjing 210044, China
    b.Jiangsu Key Laboratory of Agricultural Meteorology, College of Applied Meteorology, Nanjing University of Information Science & Technology, Nanjing 210044, China
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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