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Attribution Analysis of Runoff Variation Based on WA-BP Coupling Model
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Yu LIU1, Jun ZHAO1, 2, Guo-qing WANG2, Jin-chao XU1, 2, Yue-hong SHAO1
Water Resources and Power | 2023, 41(10) : 27 - 31
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Water Resources and Power | 2023, 41(10): 27-31
HYDROLOGY, WATER RESOURCES AND ENVIRONMENT
Attribution Analysis of Runoff Variation Based on WA-BP Coupling Model
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Yu LIU1, Jun ZHAO1, 2, Guo-qing WANG2, Jin-chao XU1, 2, Yue-hong SHAO1
Affiliations
  • 1.School of Hydrology and Water Resources, Nanjing University of Information Science & Technology, Nanjing 210044, China
  • 2.Nanjing Hydraulic Research Institute, Nanjing 210029, China
Published: 2023-10-25 doi: 10.20040/j.cnki.1000-7709.2023.20222456
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To study the trend of runoff evolution under the influence of climate change and human activities, the Qinhuai River Basin was taken as the research area based on the hydrometeorological data of representative stations. Firstly, the Mann-Kendall method was used to study the variation trend of hydrometeorological elements in the basin. Secondly, the abrupt change points of the runoff series were discussed by orderly cluster method and double cumulative curve method. Thirdly, the key factors affecting runoff were screened from numerous hydrometeorological factors, and the Wavelet Analysis-BP neural network coupling model was established to predict the runoff. Finally, attribution analysis method was used to identify contribution of climate change and human activities to the runoff variation. The results show that the rainfall of the Xinhe river sluice presents a downward trend, while the Wudingmen sluice and the whole basin show an upward trend, but none of the trends were significant. The runoff of the basin shows an upward trend, and the increase trend of Xinhe river sluice is not significant, both the Wudingmen sluice and the whole basin increase trend pass the test of 0.01 confidence level, and the annual evaporation tends to decrease. There is a great consistency between the Wudingmen sluice and the whole basin in the variation trend of rainfall, runoff, and the time of abrupt change point. The contribution rates of human activities and climate change to runoff increase were 73.92% and 26.08%, respectively, the human activities were an important factor that led to the runoff variation. The conclusion provides a scientific basis for flood and drought prevention and water resources planning in this basin.

Mann-Kendall trend test  /  orderly cluster analysis  /  discrete wavelet transform  /  BP neural network  /  contribution analysis
Yu LIU, Jun ZHAO, Guo-qing WANG, Jin-chao XU, Yue-hong SHAO. Attribution Analysis of Runoff Variation Based on WA-BP Coupling Model[J]. Water Resources and Power, 2023 , 41 (10) : 27 -31 . DOI: 10.20040/j.cnki.1000-7709.2023.20222456
Year 2023 volume 41 Issue 10
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doi: 10.20040/j.cnki.1000-7709.2023.20222456
  • Receive Date:2022-11-21
  • Online Date:2026-01-28
  • Published:2023-10-25
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  • Received:2022-11-21
  • Revised:2023-01-05
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    1.School of Hydrology and Water Resources, Nanjing University of Information Science & Technology, Nanjing 210044, China
    2.Nanjing Hydraulic Research Institute, Nanjing 210029, 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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