Complex network analysis of climate change in the Tarim River Basin, Northwest China

ZuHan Liu; JianHua Xu; WeiHong Li

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Complex network analysis of climate change in the Tarim River Basin, Northwest China

机译：塔里木河流域气候变化的复杂网络分析

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The complex network theory provides an approach for understanding the complexity of climate change from a new perspective. In this study, we used the coarse graining process to convert the data series of daily mean temperature and daily precipitation from 1961 to 2011 into symbol sequences consisting of five characteristic symbols (i.e., R, r, e, d and D), and created the temperature fluctuation network (TFN) and precipitation fluctuation network (PFN) to discover the complex network characteristics of climate change in the Tarim River Basin of Northwest China. The results show that TFN and PEN both present characteristics of scale-free network and small-world network with short average path length and high clustering coefficient. The nodes with high degree in TFN are RRR, dRR and ReR while the nodes with high degree in PFN are rre, rrr, eee and err, which indicates that climate change modes represented by these nodes have large probability of occurrence. Symbol R and r are mostly included in the important nodes of TFN and PFN, which indicate that the fluctuating variation in temperature and precipitation in the Tarim River Basin mainly are rising over the past 50 years. The nodes RRR, DDD, ReR, RRd, DDd and Ree are the hub nodes in TFN, which undertake 19.71% betweenness centrality of the network. The nodes rre, rrr, eee and err are the hub nodes in PFN, which undertake 13.64% betweenness centrality of the network.

机译：复杂网络理论提供了一种从新角度理解气候变化复杂性的方法。在这项研究中，我们使用粗粒化过程将1961年至2011年的每日平均温度和每日降水的数据序列转换为由五个特征符号（即R，r，e，d和D）组成的符号序列，并创建了通过温度波动网络（TFN）和降水波动网络（PFN）发现西北塔里木河流域气候变化的复杂网络特征。结果表明，TFN和PEN均具有无标度网络和小世界网络的特征，平均路径长度短，聚类系数高。 TFN值高的节点是RRR，dRR和ReR，而PFN值高的节点是rre，rrr，eee和err，这表明这些节点代表的气候变化模式发生的可能性很大。符号R和r主要包含在TFN和PFN的重要节点中，这表明塔里木河流域的温度和降水的波动变化在过去50年中主要呈上升趋势。节点RRR，DDD，ReR，RRd，DDd和Ree是TFN中的集线器节点，它们承担着19.71％的网络中间性。节点rre，rrr，eee和err是PFN中的集线器节点，它们承担着13.64％的网络中间性。

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来源
《寒旱区科学：英文版》 |2017年第005期|P.476-487|共12页
作者
ZuHan Liu; JianHua Xu; WeiHong Li;
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作者单位

[1]Jiangxi Provincial Key Laboratory of Water Information Cooperative Sensing and Intelligent Processing, Nanchang Institute of Technology, Nanchang, Jiangxi 330099, China;

[2]Key Laboratory of Geographic Information Science (Ministry of Education), School of Geographic Sciences, East China Normal University, Shanghai 200241, China;

[3]Research Center for East-West Cooperation in China, East China Normal University, Shanghai 200241, China;

[4]State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, Xinjiang 830011, China;

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收录信息中国科学引文数据库(CSCD);
原文格式 PDF
正文语种 CHI
中图分类天文学、地球科学;
关键词
climate change; complex networks; coarse graining process; temperature fluctuation network; precipitation fluctuation network; Northwest China;

机译：气候变化;复杂网络;粗磨削过程;温度波动网络;降水波动网络;西北;

Complex network analysis of climate change in the Tarim River Basin, Northwest China

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