Improved monitoring of urbanization processes in China for regional climate impact assessment
Improved monitoring of urbanization processes in China for regional climate impact assessment
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DOI：
10.1007/s12665-014-4000-4
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发表时间：
2015-01
影响因子：
2.8
通讯作者：
Yonghong Hu;G. Jia;C. Pohl;Qiang Feng;Yuting He;Hao Gao;R. Xu;J. Genderen;Jinming Feng
中科院分区：
文献类型：
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作者：
Yonghong Hu;G. Jia;C. Pohl;Qiang Feng;Yuting He;Hao Gao;R. Xu;J. Genderen;Jinming Feng
陆面过程通过不同尺度的陆气能量交换影响区域气候。气候模式模拟的性能在很大程度上受到土地覆盖参数化的影响，特别是在经历快速变化的土地表面特征的地区。为了更好地模拟气候，迫切需要适合气候模拟的精确的土地覆盖数据集来改进模型参数化。在这项研究中，融合的城市土地覆盖数据集已经开发了多源城市土地覆盖产品的基础上交叉比较和详细验证中分辨率图像在最近几十年。从综合土地覆盖数据集中汇总不同空间尺度的分数覆盖值，以改进对中国大城市城市范围的估计。新数据集所捕获的中国城市化可以分为稳定和快速增长时期，城市面积分别以每年2.5%和6.7%的速度增长。快速城市化主要发生在城市边缘，特别是在中国东部，大量耕地和林地转化为城市用地。利用融合后的数据进行气候模拟，可以改善气候模式的模拟效果，以研究快速城市化对区域气候的影响。
Regional climate is influenced by land surface processes through energy exchange between land and atmosphere at various scales. The performance of climate model simulation is largely influenced by land cover parameterization, especially over areas that experience rapid change of land surface characterization. Accurate land cover datasets suited for climate modeling are urgently needed to improve model parameterization for better simulation. In this study, fused urban land cover datasets have been developed by combining multi-source urban land cover products based on cross-comparison and detailed validation from medium resolution images during recent decades. Fractional cover values at different spatial scales were aggregated from integrated land cover datasets to derive improved estimates of the urban extent of big cities in China. Urbanization in China as captured by the new dataset can be divided into steadily and rapidly increasing periods with the urban area increasing by 2.5 and 6.7 % per year, respectively. Rapid urbanization mostly happens in the urban fringe, especially in eastern China, with mass conversion of cropland and woodland to urban land. An improvement in climate model simulation could be achieved using the fused data applied in climate modeling for examining the impact of rapid urbanization on the regional climate.