作者机构:
[Lian-Tong Zhou] Center for Monsoon System Research, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China;College of Earth Sciences, University of Chinese Academy of Sciences, Beijing, China;Ningxia Key Laboratory for Meteorological Disaster Prevention and Reduction, Yinchuan, China;Ningxia Meteorological Observatory, Yinchuan, China;College of Geography and Tourism, Hengyang Normal University, Hengyang, China
通讯机构:
[Lian-Tong Zhou] C;Center for Monsoon System Research, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China
关键词:
Rainfall;North China;Meridional SST gradient
摘要:
The rainfall over North China (NC) in July 2021 was the most since 1980, and coincided with a meridional gradient of sea surface temperature anomaly (MGSSTA) in the Pacific. The present study shows that the gradient between the positive sea surface temperature anomaly (SSTA) over the northwestern Pacific and the negative SSTA over the tropical central Pacific was the main reason for the enhanced rainfall in NC in July 2021 because of its influence on the anomalous northward movements of the western North Pacific anticyclone (WNPAC) and its southern cyclone. The associated easterly wind anomalies along the southern flank of the WNPAC converged with the anomalous easterly along the north flank of the anomalous cyclone, transporting more moisture from south to NC. Meanwhile, the MGSSTA likely induced an anomalous reversed Hadley circulation accompanied by distinct southerly wind anomalies in the low troposphere. These anomalies favored a strong monsoon circulation, which is often accompanied by a rain band in a more northern location.
2021年7月, 华北地区的降水量突破1980年以来的极值, 这与太平洋海温异常的经向梯度相吻合.研究表明, 西北太平洋正海温异常与热带中太平洋负海温异常之间的梯度是2021年7月华北地区降水异常偏多的主要原因, 该梯度使得西北太平洋反气旋及其南部的气旋北移, 汇合的偏东风将大量水汽从海洋输送到华北地区, 使得华北地区降水偏多.同时, 太平洋海温异常的经向梯度可能在对流层低层触发异常的反向哈德利环流, 伴随着南风异常, 使得季风环流增强, 雨带偏北.
作者机构:
College of Geography and Tourism, Hengyang Normal University, Hengyang, China
关键词:
Ancient;Villages;of;China;Site;Selection;Two-Dimensional;Planar;Forms;Street;Structure;Ancient Villages of China;Site Selection;Two-Dimensional Planar Forms;Street Structure
摘要:
The abundant water resources, rainy climate and dense water network had deeply influenced the formation and development of traditional villages in the southern Hunan region of China. This paper was adopted buffer zone analysis, categorical statistical analysis...MORE The abundant water resources, rainy climate and dense water network had deeply influenced the formation and development of traditional villages in the southern Hunan region of China. This paper was adopted buffer zone analysis, categorical statistical analysis, vectorization analysis and data literature analysis, studied the shaping of traditional village site selection, plane form and internal spatial structure by water systems in southern Hunan, China, and the mechanism of their effects. The results showed that: 1) The shaping ability and mechanism of the traditional village water system in Xiangnan area on spatial morphology was mainly based on the function of the water system. 2) The layout and spatial morphology of traditional villages were deeply affected by the width, area and form of water systems in Xiangnan area. 3) Traditional villages gave more consideration to water systems with large watershed areas in site selection. 4) Water systems with small watershed areas generally had a greater impact on the internal structure of traditional villages.FEWER
摘要:
The urban mobility structure is a summary of individual movement patterns and the interaction between persons and the urban environment, which is extremely important for urban management and public transportation route planning. The majority of current research on urban mobility structure discovery utilizes the urban environment as a static network to detect the relationship between people groups and urban areas, ignoring the vital problem of how individuals affect urban mobility structure dynamically. In this paper, we propose a spatio-temporal representational learning method based on reinforcement learning for discovering urban mobility structures, in which the model can effectively consider the interaction knowledge graph of individuals with stations while accounting for the spatio-temporal heterogeneity of individual travel. The experimental results demonstrate the advantages of individual travel-based urban mobility structure discovery research in describing the interaction between individuals and urban areas, which can account for the intrinsic influence more thoroughly.