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Drought variability and its connection with large-scale atmospheric circulations in Haihe River Basin 被引量:3
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作者 Jia Wei Wei-guang Wang +4 位作者 Yin Huang yi-min ding Jian-yu Fu Ze-feng Chen Wan-qiu Xing 《Water Science and Engineering》 EI CAS CSCD 2021年第1期1-16,共16页
Drought is one of the most widespread and devastating extreme climate events when water availability is significantly below normal levels for a long period.In recent years,the Haihe River Basin has been threatened by ... Drought is one of the most widespread and devastating extreme climate events when water availability is significantly below normal levels for a long period.In recent years,the Haihe River Basin has been threatened by intensified droughts.Therefore,characterization of droughts in the basin is of great importance for sustainable water resources management.In this study,two multi-scalar drought indices,the standardized precipitation evapotranspiration index(SPEI)with potential evapotranspiration calculated by the PenmaneMonteith equation and the standardized precipitation index(SPI),were used to evaluate the spatiotemporal variations of drought characteristics from 1961 to 2017 in the Haihe River Basin.In addition,the large-scale atmospheric circulation patterns were used to further explore the potential links between drought trends and climatic anomalies.An increasing tendency in drought duration was detected over the Haihe River Basin with frequent drought events occurring in the period from 1997 to 2003.The results derived from both SPEI and SPI demonstrated that summer droughts were significantly intensified.The analysis of large-scale atmospheric circulation patterns indicated that the intensified summer droughts could be attributed to the positive geopotential height anomalies in Asian mid-high latitudes and the insufficient water vapor fluxes transported from the south.©2021 Hohai University.Production and hosting by Elsevier B.V.This is an open access article under the CC BY-NC-ND license(http://creativecommons.org/licenses/by-nc-nd/4.0/). 展开更多
关键词 DROUGHT Standardized precipitation index Standardized precipitation evapotranspiration index Large-scale atmospheric circulation
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The 2D InSe/WS2 Heterostructure with Enhanced Optoelectronic Performance in the Visible Region
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作者 Lu-Lu Yang Jun-Jie Shi +8 位作者 Min Zhang Zhong-Ming Wei yi-min ding Meng Wu Yong He Yu-Lang Cen Wen-Hui Guo Shu-Hang Pan Yao-Hui Zhu 《Chinese Physics Letters》 SCIE CAS CSCD 2019年第9期41-45,共5页
Two-dimensional(2D)InSe and WS2 exhibit promising characteristics for optoelectronic applications.However,they both have poor absorption of visible light due to wide bandgaps:2D InSe has high electron mobility but low... Two-dimensional(2D)InSe and WS2 exhibit promising characteristics for optoelectronic applications.However,they both have poor absorption of visible light due to wide bandgaps:2D InSe has high electron mobility but low hole mobility,while 2D WS2 is on the contrary.We propose a 2D heterostructure composed of their monolayers as a solution to both problems.Our first-principles calculations show that the heterostructure has a type-Ⅱband alignment as expected.Consequently,the bandgap of the heterostructure is reduced to 2.19 eV,which is much smaller than those of the monolayers.The reduction in bandgap leads to a considerable enhancement of the visible-light absorption,such as about fivefold(threefold)increase in comparison to monolayer InSe(WS2)at the wavelength of 490 nm.Meanwhile,the type-Ⅱ band alignment also facilitates the spatial separation of photogenerated electron-hole pairs;i.e.,electrons(holes)reside preferably in the InSe(WS2)layer.As a result,the two layers complement each other in carrier mobilities of the heterostructure:the photogenerated electrons and holes inherit the large mobilities from the InSe and WS2 monolayers,respectively. 展开更多
关键词 Se CBM The 2D InSe/WS2 HETEROSTRUCTURE with ENHANCED OPTOELECTRONIC PERFORMANCE in the Visible Region
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Statistical properties of random clique networks 被引量:1
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作者 yi-min ding Jun Meng +2 位作者 Jing-Fang Fan Fang-Fu Ye Xiao-Song Chen 《Frontiers of physics》 SCIE CSCD 2017年第5期251-257,共7页
In this paper, a random clique network model to mimic the large clustering coefficient and the modular structure that exist in many real complex networks, such as social networks, artificial networks, and protein inte... In this paper, a random clique network model to mimic the large clustering coefficient and the modular structure that exist in many real complex networks, such as social networks, artificial networks, and protein interaction networks, is introduced by combining the random selection rule of the ErdSs and Rényi (ER) model and the concept of cliques. We find that random clique networks having a small average degree differ from the ER network in that they have a large clustering coefficient and a power law clustering spectrum, while networks having a high average degree have similar properties as the ER model. In addition, we find that the relation between the clustering coefficient and the average degree shows a non-monotonic behavior and that the degree distributions can be fit by multiple Poisson curves; we explain the origin of such novel behaviors and degree distributions. 展开更多
关键词 complex networks random clique networks MOTIFS communicability
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