Hu Jian, Liu Yong, Sang Yan-Fang
Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China.
State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Nanjing Hydraulic Research Institute, Nanjing 210029, China.
Entropy (Basel). 2019 Jan 10;21(1):48. doi: 10.3390/e21010048.
Due to the rapid urbanization development, the precipitation variability in the Taihu Lake basin (TLB) in East China has become highly complex over the last decades. However, there is limited understanding of the spatiotemporal variability of precipitation complexity and its relationship with the urbanization development in the region. In this article, by considering the whole urbanization process, we use the SampEn index to investigate the precipitation complexity and its spatial differences in different urbanization areas (old urban area, new urban area and suburbs) in TLB. Results indicate that the precipitation complexity and its changes accord well with the urbanization development process in TLB. Higher urbanization degrees correspond to greater complexity degrees of precipitation. Precipitation in old urban areas shows the greatest complexity compared with that in new urban areas and suburbs, not only for the entire precipitation process but also the precipitation extremes. There is a significant negative correlation between the annual precipitation and its SampEn value, and the same change of precipitation can cause a greater complexity change in old urbanization areas compared with the new urban areas and suburbs. It is noted that the enhanced precipitation complexity in a new urban area during recent decades cannot be ignored facing the expanding urbanization.
由于快速的城市化发展，在过去几十年里，中国东部太湖流域（TLB）的降水变率已变得高度复杂。然而，对于该地区降水复杂性的时空变率及其与城市化发展的关系，人们的了解有限。在本文中，通过考虑整个城市化过程，我们使用样本熵指数来研究太湖流域不同城市化区域（老城区、新城区和郊区）的降水复杂性及其空间差异。结果表明，降水复杂性及其变化与太湖流域的城市化发展过程高度吻合。城市化程度越高，降水的复杂程度就越大。与新城区和郊区相比，老城区的降水表现出最大的复杂性，不仅在整个降水过程中如此，在极端降水中也是如此。年降水量与其样本熵值之间存在显著的负相关，并且与新城区和郊区相比，相同的降水变化在老城市化区域会导致更大的复杂性变化。需要注意的是，面对不断扩大的城市化，近几十年来新城区降水复杂性的增强不容忽视。
