Effects of Land Use Changes Across Different Urbanization Periods on Summer Rainfall in the Pearl River Delta Core Area
Zhijun Yao , Guoru Huang
International Journal of Disaster Risk Science ›› 2023, Vol. 14 ›› Issue (3) : 458 -474.
Effects of Land Use Changes Across Different Urbanization Periods on Summer Rainfall in the Pearl River Delta Core Area
The Pearl River Delta (PRD) is one of the three urban agglomerations in China that have experienced rapid development. For this study, a core area of the PRD was identified, comprising the highly urbanized areas of Guangzhou, Foshan, Zhongshan, Zhuhai, Shenzhen, and Dongguan Cities. The expansion of these urban areas was tracked across three time periods—the year population urbanization rate exceeded 70% (2000), 18 years before (1982), and 18 years after (2018). This study used the Weather Research and Forecasting (WRF) model to explore summer rainfall changes across different urbanization periods in the PRD core area. The results show that urban land expansion mainly occurred in the post urbanization period. Rainfall changes across different urbanization periods were roughly consistent with previously observed spatial and temporal changes accompanying urban expansion in the PRD core area. Extreme rainfall mainly increased in the post urbanization period, shifting rainstorm center towards the PRD core area. Further causal analysis revealed that land use changes affected rainfall by altering thermodynamics and water vapor transfer. The urban expansion changed the surface energy balance, resulting in increased surface heating and heat island effects. The heat island effects thickened the planetary boundary layer and increased vertical wind speeds, which initiated dry island effects, thereby causing more water vapor transportation to the atmosphere. Consequently, rainstorms and extreme rainfall events have become concentrated in urban areas.
Extreme rainfall / Pearl River Delta core area / South China / Urban expansion process / Urbanization periods / Weather Research and Forecasting (WRF) model
| [1] |
Chang, C., Y. Li, Y. Chen, J.J. Huang, and Y. Zhang. 2021. Advanced statistical analyses of urbanization impacts on heavy rainfall in the Beijing metropolitan area. Urban Climate 40: Article 100987. |
| [2] |
|
| [3] |
|
| [4] |
|
| [5] |
|
| [6] |
|
| [7] |
|
| [8] |
|
| [9] |
Guangdong Provincial Statistics Bureau. 2013. Guangdong Statistical Yearbook. Beijing: China Statistics Press. http://stats.gd.gov.cn/gdtjnj/index.html. Accessed 19 May 2023 (in Chinese). |
| [10] |
|
| [11] |
|
| [12] |
Iacono, M.J., J.S. Delamere, E.J. Mlawer, M.W. Shephard, S.A. Clough, and W.D. Collins. 2008. Radiative forcing by long-lived greenhouse gases: Calculations with the AER radiative transfer models. Journal of Geophysical Research: Atmospheres 113(D13): Article D13103. |
| [13] |
|
| [14] |
|
| [15] |
|
| [16] |
|
| [17] |
|
| [18] |
|
| [19] |
|
| [20] |
|
| [21] |
|
| [22] |
|
| [23] |
|
| [24] |
|
| [25] |
Li, L., D. Lu, and W. Kuang. 2016. Examining urban impervious surface distribution and its dynamic change in Hangzhou metropolis. Remote Sensing 8(3): Article 265. |
| [26] |
|
| [27] |
Li, Y., W. Wang, M. Chang, and X. Wang. 2021. Impacts of urbanization on extreme precipitation in the Guangdong–Hong Kong–Macau Greater Bay Area. Urban Climate 38: Article 100904. |
| [28] |
|
| [29] |
|
| [30] |
|
| [31] |
|
| [32] |
Misra, P., R. Imasu, and W. Takeuchi. 2019. Impact of urban growth on air quality in Indian cities using hierarchical Bayesian approach. Atmosphere 10(9): Article 517. |
| [33] |
|
| [34] |
|
| [35] |
Ou, Y., W. Zhao, J. Wang, W. Zhao, and B. Zhang. 2017. Characteristics of aerosol types in Beijing and the associations with air pollution from 2004 to 2015. Remote Sensing 9(9): Article 898. |
| [36] |
|
| [37] |
|
| [38] |
Rath, S.S., and J. Panda. 2020. Urban induced land-use change impact during pre-monsoon thunderstorms over Bhubaneswar-Cuttack urban complex. Urban Climate 32: Article 100628. |
| [39] |
Rath, S.S., J. Panda, and A. Sarkar. 2022. Distinct urban land cover response to meteorology in WRF simulated pre-monsoon thunderstorms over the tropical city of Kolkata. Meteorology and Atmospheric Physics 134(4): Article 76. |
| [40] |
|
| [41] |
|
| [42] |
Thompson, G., W.D. Hall, P.R. Field, and R.M. Rasmussen. 2006. A new bulk microphysical parameterization for WRF. In Paper presented at the 7th WRF Users’ Workshop, National Center for Atmospheric Research, 19–22 June 2006. |
| [43] |
|
| [44] |
Tong, X., P. Wang, S. Wu, and M. Luo. 2022. Urbanization effects on high-frequency temperature variability over South China. Urban Climate 42: Article 101092. |
| [45] |
|
| [46] |
Wang, J., J. Feng, Z. Yan, Y. Hu, and G. Jia. 2012. Nested high-resolution modeling of the impact of urbanization on regional climate in three vast urban agglomerations in China. Journal of Geophysical Research: Atmospheres 117(21): Article D21103. |
| [47] |
|
| [48] |
|
| [49] |
Wang, S., D. Hu, C. Yu, S. Chen, and Y. Di. 2020. Mapping China’s time-series anthropogenic heat flux with inventory method and multi-source remotely sensed data. Science of The Total Environment 734: Article 139457. |
| [50] |
Wang, Y., G. Yi, X. Zhou, T. Zhang, X. Bie, J. Li, and B. Ji. 2021. Spatial distribution and influencing factors on urban land surface temperature of twelve megacities in China from 2000 to 2017. Ecological Indicators 125: Article 107533. |
| [51] |
|
| [52] |
|
| [53] |
|
| [54] |
|
| [55] |
|
| [56] |
|
| [57] |
|
| [58] |
Yang, R., J. Zhang, Q. Xu, and X. Luo. 2020. Urban-rural spatial transformation process and influences from the perspective of land use: A case study of the Pearl River Delta Region. Habitat International 104: Article 102234. |
| [59] |
|
| [60] |
|
| [61] |
|
| [62] |
|
| [63] |
Zhou, D., S. Zhao, L. Zhang, G. Sun, and Y. Liu. 2015. The footprint of urban heat island effect in China. Scientific Reports 5: Article 11160. |
/
| 〈 |
|
〉 |