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Caihua Yang

Biographic Data

ID6933552
NAMECaihua Yang
GIVEN NAMESCaihua
FAMILY NAMEYang
SIGNATUREYANG C
AFFILIATIONSShanghai Jiao Tong University
VERIFIEDNo
TOTAL WORKS3
TOTAL CITATIONS0
WORKS AS AUTHOR3
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2023
LATEST PUBLICATION YEAR2025
H-INDEX0
  • Urban park green spaces and their potential in regulating urban heat Island (UHI) effects in urban-rural gradient in Shanghai, China

    Open Access•Caihua Yang, Yifeng Qin et al.•ARTICLE•Sustainable Cities and Society•2025

  • Optimization of CMIP6 Precipitation Projection Based on Bayesian Model Averaging Approach and Future Urban Precipitation Risk Assessment

    Open Access•Yifeng Qin, Caihua Yang et al.•ARTICLE•Urban Science•2025

    Urban flooding, intensified by climate change, poses significant threats to sustainable development, necessitating accurate precipitation projections for effective risk management. This study utilized Bayesian Model Averaging (BMA) to optimize CMIP6 multi-model ensemble precipitation projections for Shanghai, integrating Delta statistical downscaling with observational data to enhance spatial accuracy and reduce uncertainty. After downscaling, RM…

  • Neoline, fuziline, songorine and 10-OH mesaconitine are potential quality markers of Fuzi

    Open Access•Xiaocui Li, Weiqing Hou et al.•ARTICLE•Journal of Ethnopharmacology•2023

No prominent works on this page.

  • Neoline, fuziline, songorine and 10-OH mesaconitine are potential quality markers of Fuzi

    Open Access•Xiaocui Li, Weiqing Hou et al.•ARTICLE•Journal of Ethnopharmacology•2023

  • Urban park green spaces and their potential in regulating urban heat Island (UHI) effects in urban-rural gradient in Shanghai, China

    Open Access•Caihua Yang, Yifeng Qin et al.•ARTICLE•Sustainable Cities and Society•2025

  • Optimization of CMIP6 Precipitation Projection Based on Bayesian Model Averaging Approach and Future Urban Precipitation Risk Assessment

    Open Access•Yifeng Qin, Caihua Yang et al.•ARTICLE•Urban Science•2025

    Urban flooding, intensified by climate change, poses significant threats to sustainable development, necessitating accurate precipitation projections for effective risk management. This study utilized Bayesian Model Averaging (BMA) to optimize CMIP6 multi-model ensemble precipitation projections for Shanghai, integrating Delta statistical downscaling with observational data to enhance spatial accuracy and reduce uncertainty. After downscaling, RM…

Environmental Science (2 works) · Geography (2 works) · Meteorology (2 works) · Aconitine (1 work) · Aconitum (1 work) · Acute toxicity (1 work) · Algorithm (1 work) · Alkaloid (1 work) · Archaeology (1 work) · Artificial Intelligence (1 work)

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