Simulation and Assessment of Extreme Precipitation in the Pearl River Delta Based on the WRF-UCM Model
The impact of urbanization on the spatial distribution of extreme precipitation has become a major topic in the field of urban hydrology. This study used an urban canopy model (UCM) coupled with a Weather Research and Forecasting model (WRF) to analyze two extreme precipitation events experienced by...
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MDPI AG
2025-05-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/17/10/1728 |
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| author | Zhuoran Luo Jiahong Liu Shanghong Zhang Yinxin Ge Xianzhi Wang Li Zhang Weiwei Shao Lirong Dong |
| author_facet | Zhuoran Luo Jiahong Liu Shanghong Zhang Yinxin Ge Xianzhi Wang Li Zhang Weiwei Shao Lirong Dong |
| author_sort | Zhuoran Luo |
| collection | DOAJ |
| description | The impact of urbanization on the spatial distribution of extreme precipitation has become a major topic in the field of urban hydrology. This study used an urban canopy model (UCM) coupled with a Weather Research and Forecasting model (WRF) to analyze two extreme precipitation events experienced by the Pearl River Delta on 12–13 June (monsoon rainstorm) and 16–17 September (typhoon rainstorm) in 2018. The results showed that both experiments, considering UCM and not considering UCM, can effectively simulate the spatial distribution of two precipitation events in Pearl River Delta urban agglomeration. The root mean square errors of simulation and observation data of the two precipitation events by the UCM scheme were 14.6 mm and 16.7 mm, respectively, indicating relatively high simulation accuracy. The simulated precipitation amounts for the two rainfall events were increased by 2.3 mm and 3.0 mm, respectively. The simulation results of the two precipitation events showed that compared to agricultural land, urban and built-up land have experienced temperature increases of approximately 0.7 °C and 1 °C, respectively. The air-specific humidity of the two precipitation events increased by approximately 0.5 g/kg and 1.2 g/kg, respectively. These differences between UCM and NON simulations confirm that the increase in near-surface air humidity and temperature significantly enhances the intensity of extreme precipitation in the Pearl River Delta urban agglomeration. |
| format | Article |
| id | doaj-art-dbfbbe4970c545639ed2f8987c490c95 |
| institution | DOAJ |
| issn | 2072-4292 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj-art-dbfbbe4970c545639ed2f8987c490c952025-08-20T03:12:15ZengMDPI AGRemote Sensing2072-42922025-05-011710172810.3390/rs17101728Simulation and Assessment of Extreme Precipitation in the Pearl River Delta Based on the WRF-UCM ModelZhuoran Luo0Jiahong Liu1Shanghong Zhang2Yinxin Ge3Xianzhi Wang4Li Zhang5Weiwei Shao6Lirong Dong7School of Water Resources and Hydropower Engineering, North China Electric Power University, Beijing 102206, ChinaState Key Laboratory of Simulation and Regulation of Hydrological Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing 100038, ChinaSchool of Water Resources and Hydropower Engineering, North China Electric Power University, Beijing 102206, ChinaSchool of Water Resources and Hydropower Engineering, North China Electric Power University, Beijing 102206, ChinaSchool of Water Resources and Hydropower Engineering, North China Electric Power University, Beijing 102206, ChinaSchool of Water Resources and Hydropower Engineering, North China Electric Power University, Beijing 102206, ChinaState Key Laboratory of Simulation and Regulation of Hydrological Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing 100038, ChinaFaculty of Innovation Engineering, Macau University of Science and Technology, Macau 999078, ChinaThe impact of urbanization on the spatial distribution of extreme precipitation has become a major topic in the field of urban hydrology. This study used an urban canopy model (UCM) coupled with a Weather Research and Forecasting model (WRF) to analyze two extreme precipitation events experienced by the Pearl River Delta on 12–13 June (monsoon rainstorm) and 16–17 September (typhoon rainstorm) in 2018. The results showed that both experiments, considering UCM and not considering UCM, can effectively simulate the spatial distribution of two precipitation events in Pearl River Delta urban agglomeration. The root mean square errors of simulation and observation data of the two precipitation events by the UCM scheme were 14.6 mm and 16.7 mm, respectively, indicating relatively high simulation accuracy. The simulated precipitation amounts for the two rainfall events were increased by 2.3 mm and 3.0 mm, respectively. The simulation results of the two precipitation events showed that compared to agricultural land, urban and built-up land have experienced temperature increases of approximately 0.7 °C and 1 °C, respectively. The air-specific humidity of the two precipitation events increased by approximately 0.5 g/kg and 1.2 g/kg, respectively. These differences between UCM and NON simulations confirm that the increase in near-surface air humidity and temperature significantly enhances the intensity of extreme precipitation in the Pearl River Delta urban agglomeration.https://www.mdpi.com/2072-4292/17/10/1728urbanizationprecipitation simulationheat island effectspatial distributionPRDUA |
| spellingShingle | Zhuoran Luo Jiahong Liu Shanghong Zhang Yinxin Ge Xianzhi Wang Li Zhang Weiwei Shao Lirong Dong Simulation and Assessment of Extreme Precipitation in the Pearl River Delta Based on the WRF-UCM Model Remote Sensing urbanization precipitation simulation heat island effect spatial distribution PRDUA |
| title | Simulation and Assessment of Extreme Precipitation in the Pearl River Delta Based on the WRF-UCM Model |
| title_full | Simulation and Assessment of Extreme Precipitation in the Pearl River Delta Based on the WRF-UCM Model |
| title_fullStr | Simulation and Assessment of Extreme Precipitation in the Pearl River Delta Based on the WRF-UCM Model |
| title_full_unstemmed | Simulation and Assessment of Extreme Precipitation in the Pearl River Delta Based on the WRF-UCM Model |
| title_short | Simulation and Assessment of Extreme Precipitation in the Pearl River Delta Based on the WRF-UCM Model |
| title_sort | simulation and assessment of extreme precipitation in the pearl river delta based on the wrf ucm model |
| topic | urbanization precipitation simulation heat island effect spatial distribution PRDUA |
| url | https://www.mdpi.com/2072-4292/17/10/1728 |
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