Land-Use Changes in China During the Past 30 Years

Xiao, Pengfeng; Li, Haixing; Yang, Yongke; Wang, Lingxiao; Wang, Xiaohui

doi:10.1142/9789814651783_0002

Cited by 3 publications

(1 citation statement)

References 6 publications

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“…Detailed information regarding the data sources and the classification approach can be found in Li et al (2017) and Yang et al (2017). When compared with other large-scale land cover datasets, the ChinaLC dataset shows an average overall accuracy of approximately 75%, which is much higher than its counterparts (Xiao et al, 2015;Li et al, 2017). As the resolution of the inner WRF domain was set to 5 km, which is the same as the spatial resolution of ChinaLC data, the land use data in the model can be replaced by the ChinaLC data in the WRF Preprocessing System.…”

Section: Land Cover Datamentioning

confidence: 99%

Future Changes of Summer Heat Waves Over Urban Agglomerations in Eastern China Under 1.5°C and 2.0°C Global Warming

Wang

Lin

2022

Front. Earth Sci.

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Extreme hot events have increased evidently under global warming, particularly in the urban areas. This study aims to explore the detailed features of future changes in summer heat waves (HWs) over three major urban agglomerations (Beijing Tianjin Hebei, BTH; Yangtze River Delta, YRD; Pearl River Delta, PRD) in eastern China under 1.5 and 2.0°C warming scenario by using the Weather Research and Forecasting model (WRF) with the updated land cover data for China (ChinaLC), which is also coupled with urban canopy model. Based on the future projection results from Community Earth System Model (CESM) under the Representative Concentration Pathway (RCP) 4.5, dynamic downscaling with high-resolution WRF has been performed to project the future changes in frequency, duration and intensity of summer HWs in urban agglomerations under 1.5 and 2.0°C warming scenarios respectively. Compared with the historical period, it is found that both the summer HWs indices and the HWs affected areas all increase significantly under 1.5 and 2.0°C warming scenarios. The increasing rates of the three HWs indices are above 50% under 1.5°C warming situation, and 70% for 2.0°C warming scenario, with the increasing rate of HWs intensity even exceeding 200%. It is noted that an additional 0.5°C warming from 1.5 to 2.0°C can produce much larger impact on the future HWs changes in YRD, with the HWs intensity increased by 75.5% from 1.5 to 2.0°C warming scenarios. It is further found that the changes of HWs indices in urban area is much higher than that of non-urban areas under 1.5 and 2.0°C warming, indicating that the urban areas will face higher risk of heat-related illness or environments than suburban or rural areas in the future. Our results can provide further scientific support for the mitigation and adaption strategy for the future HWs risk in mega-cities.

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