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Investigation on flood event variations at space and time scales in the Huaihe River Basin of China using flood behavior classification

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Journal of Geographical Sciences 2020年第12期30卷 2053-2075页

作者： ZHANG Yongyong chen qiutan XIA Jun Key Laboratory of Water Cycle and Related Land Surface Processes Institute of Geographic Sciences and Natural Resources ResearchCASBeijing 100101China University of Chinese Academy of Sciences Beijing 100049China

Flood is one of the severest natural disasters in the world and has caused enormous causalities and property *** studies usually focus on flood magnitude and occurrence time at event scale,which are insufficient to contain entire behavior characteristics of flood *** our study,nine behavior metrics in five categories(e.g.,magnitude,duration,timing,rates of changes and variability)are adopted to fully describe a flood *** and interannual variations of representative flood classes are investigated based on behavior similarity classification of numerous *** of geography,land use,hydrometeorology and human regulation on these variations are explored by rank analysis *** show that:five representative classes are identified,namely,conventional events(Class 1,61.7% of the total),low discharge events with multiple peaks(Class 2,5.3%),low discharge events with low rates of changes(Class 3,18.1%),low discharge events with high rates of changes(Class 4,10.8%)and high discharge events with long durations(Class 5,4.1%).Classes 1 and 3 are the major flood events and distributed across the whole *** 4 is mainly distributed in river sources,while Classes 2 and 5 are in the middle and down ***,the flood class is most diverse in normal precipitation years(2006,2008-2010 and 2015),followed by wet years(2007,2013-2014),and dry years(2011 and 2012).All the impact factor categories explain 34.0%-84.1% of individual flood class *** hydrometeorological category(7.2%-56.9%)is the most important,followed by geographical(1.0%-6.3%),regulation(1.7%-5.1%)and land use(0.9%-2.2%)*** study could provide new insights into flood event variations in a comprehensive manner,and provide decision-making basis for flood control and resource utilization at basin scale.

关键词： flood events behavior metrics classification regional and interannual variations potential impacts

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淮河中上游流域洪水主要类型及其时空分布特征

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地理科学进展 2020年第4期39卷 627-635页

作者：张永勇陈秋潭中国科学院地理科学与资源研究所陆地水循环及地表过程重点实验室北京100101 中国科学院大学北京100049

洪水过程相似性挖掘对流域雨洪资源利用、水库防洪调度以及河流生态修复等具有重要的现实意义。论文以淮河中上游流域16个水文站2006-2015年125场洪水过程数据为基础,采用洪水量、时间、变化率和形态等特征指标对完整洪水过程进行了全... 详细信息

洪水过程相似性挖掘对流域雨洪资源利用、水库防洪调度以及河流生态修复等具有重要的现实意义。论文以淮河中上游流域16个水文站2006-2015年125场洪水过程数据为基础,采用洪水量、时间、变化率和形态等特征指标对完整洪水过程进行了全面刻画,以主成分分析和层次聚类等多元统计分析手段辨识了流域内代表性洪水类型,揭示了各洪水类型的时空分布特征。结果表明:①淮河中上游流域主要有5类代表性洪水类型,分别为长历时且变化剧烈型、多峰长历时型、尖瘦短历时型、矮胖型以及常规型。②从时间分布来看,2006-2015年间洪水类型数量呈现减少趋势,常规型洪水的比例逐渐增大;丰水年份(如2007年)、平水年份(如2006年)的洪水类型较多,而枯水年份(2011-2013年)洪水类型较少,以常规型和矮胖型洪水出现频率居多。③从空间分布来看,源头站点的洪水类型较多,中下游站点的洪水类型比较单一,主要从尖瘦型洪水过程逐渐转变为矮胖型,这与流域内水源涵养能力、工程调蓄能力以及降水多样性等有较大的关系。研究可为流域洪水信息挖掘和特征分析等提供参考借鉴,也可为淮河流域洪水的演变特征分析、水库防洪调控和雨洪资源利用等提供决策依据。

关键词：洪水特征多元统计分析淮河流域

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淮河中上游流域基流时空变化特征及闸坝调控影响

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南水北调与水利科技 2019年第6期17卷 10-19页

作者：陈秋潭张永勇中国科学院地理科学与资源研究所陆地水循环及地表过程重点实验室北京100101 中国科学院大学北京100049

基流作为河川径流的重要组成部分,对维系河流生态系统稳定起着关键作用。以淮河中上游流域为例,采用Chapman-Maxwell、Lyne-Hollick和Boughton-Chapman三种数字滤波法对淮河干流和支流沙颍河不同闸坝调控的7个站点2001-2015年日径流序... 详细信息

基流作为河川径流的重要组成部分,对维系河流生态系统稳定起着关键作用。以淮河中上游流域为例,采用Chapman-Maxwell、Lyne-Hollick和Boughton-Chapman三种数字滤波法对淮河干流和支流沙颍河不同闸坝调控的7个站点2001-2015年日径流序列进行基流分割;采用Mann-Kendall趋势分析检测基流量在年际、汛期和非汛期多种时间尺度下的变化,对比分析闸坝调控的影响特征。结果表明:(1)Chapman-Maxwell数字滤波法对基流过程分割更合理,沙颍河水系站点的基流系数在0.23~0.46之间,淮河干流站点系数在0.36~0.50之间,沙颍河水系站点基流系数均小于淮河干流站点;(2)沙颍河和淮河干流的站点基流量均呈现出减少的趋势,其中沙颍河的基流量减幅明显高于淮河干流;沙颍河槐店、阜阳闸和淮河干流王家坝的年平均基流量,以及沙颍河白龟山、槐店和阜阳闸的汛期基流量减少趋势显著;(3)闸坝拦蓄导致下游的径流和基流量均呈现减少的趋势,沙颖河站点影响较严重,特别是在汛期8月减少趋势具有统计显著性;淮河干流站点受闸坝调控较弱,减少并不显著。研究可为认识淮河中上游流域的水循环特征及其转化关系提供技术支撑,也可为流域地下水资源可持续利用、人类活动影响评估等提供依据。

关键词：基流数字滤波法趋势检验闸坝调控淮河流域

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Profile of Dr. Songlin chen

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Science China Life Sciences 2024年第10期67卷 2062-2063页

作者： chen, Songlin Yellow Sea Fisheries Res Inst Qingdao Peoples R China

For decades, Dr. chen has been engaged in fish germplasm preservation, sex control and research focusing on molecular breeding for disease resistance. He discovered the first sex-specific molecular marker of fish(chen et al., 2007),deciphered the first fish genome(Chinese tongue sole) in China, revealed the sex determination mechanism in fish(chen et al., 2014), and created molecular sex control technology. He also discovered the molecular mechanism of metamorphosis in flatfish(Shao et al., 2017) and developed China's first fish disease-resistant breeding gene chip, “YUXIN No.1”.

关键词： TURBOT SCOPHTHALMUS-MAXIMUS GENOMIC SELECTION JAPANESE FLOUNDER SEX-CHROMOSOME CELL-LINE CRYOPRESERVATION EVOLUTION EMBRYOS

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Effect of Reclamation on the Groundwater-Lake Water Interaction in chen Lake

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Journal of Earth Science 2024年第3期35卷 1083-1086页

作者： Kun Lei Teng Ma Liuzhu chen Zhenxing Li Yu chen School of Environmental Studies State Key Laboratory of Biogeology and Environmental GeologyChina University of GeosciencesWuhan 430078China

0 INTRODUCTION To relieve the short supply of suitable land for residing,cultivating,and commerce,it is accepted to reclaim land from lakes,river estuaries,and coastal regions in many countries(Mancini et al.,2020).The large-scale reclamation activities have an irreversible effect on the mico-geomorphology and hydrodynamic system of seasonally flooded areas(Zhang et al.,2019;Yu et al.,2018).For example,coastal regions reclaimed extended the groundwater flow paths,as well as created groundwater level rise,resulting in water-logging in the reclaimed area(Hu et al.,2008).Similar changes in groundwater flow systems may alter groundwater-lake water interactions,and it can ultimately affect the water cycle in the lake ***,such detailed studies are presently *** addition,natural exchanges between the lake and groundwater systems can be strongly affected by physical hydrological processes(Javadzadeh et al.,2020),chemical properties(Kamtchueng et al.,2015),and bioto behavior(Hancock et al.,2005).

关键词： groundwater coastal logging

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Meridional deflection of global eddy propagation derived from tandem altimetry: Mechanism and implication

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Science China Earth Sciences 2024年第3期67卷 811-825页

作者： Ge chen Xiaoyan chen Frontiers Science Center for Deep Ocean Multispheres and Earth System School of Marine TechnologyOcean University of ChinaQindao 266100China Laboratory for Regional Oceanography and Numerical Modeling Laoshan LaboratoryQindao 266237China

A common view on meridional deflection of eddy propagation is poleward for cyclones and equatorward for anticyclones. This widely accepted polarity-sensitive pattern has been increasingly undermined given that it is systematically violated on both zonal and regional scales as recently reported. Here, we approach the problem by exploring these violations in terms of eddy effects of spatiotemporal geostrophy, thermal fading, and flow dragging, yielding the following main conclusions.(1) The polarity-dependent deflection discrepancy is a pseudo feature resulting from a biased fit to the normalized eddy tracks which are spatially asymmetric(though azimuthally symmetric) between the two signs;Instead, the primary pattern of eddy deflection appears to be geographically correlated and polarity independent.(2) Geostrophic adjustment plays a critical role in defining the meridional movement of an eddy. Specifically, a consistent poleward(equatorward) trajectory bending of spatially(temporally) ageostrophic eddies is observed irrespective of their polarity.(3) The mechanism of eddy deflection is also determined by its zonal propagation direction. Westward propagating eddies are substantially affected by thermal fading, while opposite ones by flow dragging. A realistic and comprehensive understanding of eddy deflection mechanisms serves as a significant contribution to the prediction of eddy trajectory, and the protection of ocean environment.

关键词： Mesoscale eddies Eddy propagation Eddy meridional deflection Satellite observation Geostrophic adjustment

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A refined representation method of the particle size distribution curve based on grading entropy

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Particuology 2024年第5期88卷 302-311页

作者： Xing Li Qun chen Zhaozhao Liu cheng Zhou chen Wang chen chen State Key Laboratory of Hydraulics and Mountain River Engineering College of Water Resource and HydropowerSichuan UniversityChengdu610065China

The particle size distribution(PSD)curve is an important expression of the basic properties of the *** characteristic parameters such as median particle size D_(50),effective particle size D_(10),and some combinations of characteristic parameters can only represent some points of the PSD curve,failing to represent all information of the PSD *** this paper,a fraction characteristic parameter F that could reflect the fraction size variation of the PSD curve was introduced based on grading *** a new presentation method of the A-B-F three parameters was proposed for a refined representation of the PSD *** was found that the newly constructed model not only better represents the differences in the width of PSD curves but also has a higher sensitivity than the A-B two-parameter model proposed by Lő*** PSD curves with similar distributions,the new presentation method has a higher degree of discrimination than that of the D_(50)-C_(u)-C_(c) three-parameter or the four-parameter combination G_(c) proposed by ***,the application of this new method in describing the spatial nonuniformity distribution of depositions and predicting the soil hydraulic conductivity was *** research results can provide a reference for the refined representation of PSD curves.

关键词： Grading entropy Particle size distribution curve Refined representation

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Track correlation algorithm based on CNN-LSTM for swarm targets

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Journal of Systems Engineering and Electronics 2024年第2期35卷 417-429页

作者： chen Jinyang WANG Xuhua chen Xian Research Institute for National Defense Engineering Academy of Military SciencesLuoyang 471023China Information Engineering University Zhengzhou 450001China School of Computer Science and Technology Xidian UniversityXi’an 710071China

The rapid development of unmanned aerial vehicle(UAV) swarm, a new type of aerial threat target, has brought great pressure to the air defense early warning system. At present, most of the track correlation algorithms only use part of the target location, speed, and other information for *** this paper, the artificial neural network method is used to establish the corresponding intelligent track correlation model and method according to the characteristics of swarm ***, a route correlation method based on convolutional neural networks (CNN) and long short-term memory (LSTM)Neural network is designed. In this model, the CNN is used to extract the formation characteristics of UAV swarm and the spatial position characteristics of single UAV track in the formation,while the LSTM is used to extract the time characteristics of UAV swarm. Experimental results show that compared with the traditional algorithms, the algorithm based on CNN-LSTM neural network can make full use of multiple feature information of the target, and has better robustness and accuracy for swarm targets.

关键词： track correlation correlation accuracy rate swarm target convolutional neural network(CNN) long short-term memory(LSTM)neural network

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Two-stage Planning Method for Energy Router Considering Its Optimal Operation in Distribution Networks

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CSEE Journal of Power and Energy Systems 2024年第2期10卷 605-616页

作者： Meifu chen Mingchao Xia Qifang chen School of Electrical Engineering Beijing Jiaotong UniversityBeijing 100044China

An energy router can effectively optimize the network loss and power quality of distribution networks. The optimal configuration of the energy router is relatively complex because issues dynamically influence each other, such as the location of the energy router, optimal number and capacity of its ports, and building new distribution lines for the ports. Presently, there has been very few research studies on the practical problems for the energy router. In this paper, a planning model of an energy router combined with the distribution network is established, which fully exploits the active and reactive power control abilities of the energy router to optimize the operation of the grid. The configuration problem is decoupled into two stages. The upper layer determines the location of the energy router and the parameters of the candidate new distribution lines for the ports. The lower layer calculates the optimal configuration of the energy router by minimizing the total annual cost. Because of the same rated bus voltage in the distribution network, the existing structure of the energy router is changed to be more applicable for the distribution network, and then the power flow model of the energy router is also modified. Due to the nonlinearity of the model, the planning model is converted into a mixed-integer second-order cone model to solve efficiently. In addition, some core factors influencing the optimal scheme of the energy router are also analyzed in this paper. Simulation results show that the optimal scheme of the energy router can significantly improve the economic deployment of the energy router, and optimize the network loss and power quality of the distribution network.

关键词： Capacity allocation distribution network energy router optimal operation

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Aerial target threat assessment based on gated recurrent unit and self-attention mechanism

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Journal of Systems Engineering and Electronics 2024年第2期35卷 361-373页

作者： chen chen QUAN Wei SHAO Zhuang School of Automation Beijing Institute of TechnologyBeijing 100081China State Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing 100081China

Aerial threat assessment is a crucial link in modern air combat, whose result counts a great deal for commanders to make decisions. With the consideration that the existing threat assessment methods have difficulties in dealing with high dimensional time series target data, a threat assessment method based on self-attention mechanism and gated recurrent unit(SAGRU) is proposed. Firstly, a threat feature system including air combat situations and capability features is established. Moreover, a data augmentation process based on fractional Fourier transform(FRFT) is applied to extract more valuable information from time series situation features. Furthermore, aiming to capture key characteristics of battlefield evolution, a bidirectional GRU and SA mechanisms are designed for enhanced ***, after the concatenation of the processed air combat situation and capability features, the target threat level will be predicted by fully connected neural layers and the softmax classifier. Finally, in order to validate this model, an air combat dataset generated by a combat simulation system is introduced for model training and testing. The comparison experiments show the proposed model has structural rationality and can perform threat assessment faster and more accurately than the other existing models based on deep learning.

关键词： target threat assessment gated recurrent unit(GRU) self-attention(SA) fractional Fourier transform(FRFT)

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