Shengbing He
Biographic Data
| ID | 6933554 |
|---|---|
| NAME | Shengbing He |
| GIVEN NAMES | Shengbing |
| FAMILY NAME | He |
| SIGNATURE | HE S |
| AFFILIATIONS | Shanghai Jiao Tong University |
| ORCID | 0000-0002-0753-4860 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Optimization of CMIP6 Precipitation Projection Based on Bayesian Model Averaging Approach and Future Urban Precipitation Risk Assessment
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…
Direct and Indirect Effects of Business Environment on BRI Countries’ Global Value Chain Upgrading
This study incorporates business environment, foreign direct investment (FDI), and the global value chain upgrading into a unified analysis framework to unravel the effects of business environment and FDI on the Belt and Road Initiative (BRI) countries' status elevation on the global value chain. The panel data of 112 BRI countries from 2007 to 2017 are employed for empirical tests on the trilateral relationship through the panel data regression …
No prominent works on this page.
Direct and Indirect Effects of Business Environment on BRI Countries’ Global Value Chain Upgrading
This study incorporates business environment, foreign direct investment (FDI), and the global value chain upgrading into a unified analysis framework to unravel the effects of business environment and FDI on the Belt and Road Initiative (BRI) countries' status elevation on the global value chain. The panel data of 112 BRI countries from 2007 to 2017 are employed for empirical tests on the trilateral relationship through the panel data regression …
Optimization of CMIP6 Precipitation Projection Based on Bayesian Model Averaging Approach and Future Urban Precipitation Risk Assessment
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…
Algorithm (1 work) · Artificial Intelligence (1 work) · Asian Industrial and Economic Development (1 work) · Bayesian inference (1 work) · Bayesian probability (1 work) · Business (1 work) · Chain (unit (1 work) · Climate variability and models (1 work) · Climatology (1 work) · Computer Science (1 work)