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Review of Recent Trends in the Hybridisation of Preprocessing-Based and Parameter Optimisation-Based Hybrid Models to Forecast Univariate Streamflow

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工程与科学中的计算机建模(英文) 2024年第1期138卷 1-41页

作者： Baydaa Abdul Kareem Salah L.Zubaidi Nadhir Al-Ansari Yousif Raad Muhsen Department of Civil Engineering University of MaysanMaysan57000Iraq Department of Civil Engineering Wasit UniversityWasit52001Iraq college of Engineering University ofWarith Al-AnbiyaaKarbala56001Iraq Department of Civil Environmental and natural resources Engineering Lulea University of TechnologyLulea97187Sweden Department of Computer Science Faculty of Computer Science and Information TechnologyUniversiti Putra MalaysiaSerdang43400Malaysia

Forecasting river flow is crucial for optimal planning,management,and sustainability using freshwater *** machine learning(ML)approaches have been enhanced to improve streamflow *** techniques have been viewed as a viable method for enhancing the accuracy of univariate streamflow estimation when compared to standalone *** researchers have also emphasised using hybrid models to improve forecast ***,this paper conducts an updated literature review of applications of hybrid models in estimating streamflow over the last five years,summarising data preprocessing,univariate machine learning modelling strategy,advantages and disadvantages of standalone ML techniques,hybrid models,and performance *** study focuses on two types of hybrid models:parameter optimisation-based hybrid models(OBH)and hybridisation of parameter optimisation-based and preprocessing-based hybridmodels(HOPH).Overall,this research supports the idea thatmeta-heuristic approaches precisely improveML ***’s also one of the first efforts to comprehensively examine the efficiency of various meta-heuristic approaches(classified into four primary classes)hybridised with ML *** study revealed that previous research applied swarm,evolutionary,physics,and hybrid metaheuristics with 77%,61%,12%,and 12%,***,there is still room for improving OBH and HOPH models by examining different data pre-processing techniques and metaheuristic algorithms.

关键词： Univariate streamflow machine learning hybrid model data pre-processing performance metrics

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Snowpack variations and their hazardous effects under climate warming in the central Tianshan Mountains

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Advances in Climate Change Research 2024年第3期15卷 442-451页

作者： Jian-Sheng HAO Yan WANG Lan-Hai LI Key Laboratory of Land Surface Pattern and Simulation Institute of Geographic Sciences and Natural Resources ResearchChinese Academy of Sciences(CAS)Beijing 100101China Xinjiang Key Laboratory of Water Cycle and Utilization in Arid Zone Urumqi 830011China State Key Laboratory of Desert and Oasis Ecology Xinjiang Institute of Ecology and GeographyChinese Academy of SciencesUrumqi 830011China Tianshan Snowcover and Avalanche Observation and Research Station of Xinjiang Xinyuan 835800China CAS Research Center for Ecology and Environment of Central Asia Urumqi 830011China

Climate change alters snowpack evolution,which in turn influences the likelihood of snow avalanches and flood *** lack of systemic observational data on key snow characteristics in high mountains remains a scientific challenge in terms of systematically elucidating the dynamic chain of variations in climate-snowpack-snow *** restricts our understanding and poses challenges in the prediction of snow-related disaster *** such,this study analysed the variations of temperature and snowfall and the physical characteristics of snowpacks based on ground-based observations from the Kunse River Valley situated in the Tianshan Mountains from 1967 to *** results reveal that the temperature increased significantly by 0.32°C per decade(pinformation that can deepen our understanding of the impact of climate change on snowpack characteristics and improve management strategies for snow-related disaster prevention and mitigation.

关键词： Climate change Snowpack variations Snow-related disaster Tianshan Mountains

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The dawn−dusk asymmetry in mesosphere and lower thermosphere temperature disturbances during geomagnetic storms at high latitude

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Earth and Planetary Physics 2024年第2期8卷 356-367页

作者： GuanChun Wei JianYong Lu Fen Tang JingYuan Li Meng Sun Institute of Space Weather School of Atmospheric PhysicsNanjing University of Information Science&TechnologyNanjing 210044China college of information and Communication National University of Defense TechnologyWuhan 430019China

Utilizing observations by the Sounding of the Atmosphere using Broadband Emission Radiometry(SABER)instrument,we quantitatively assessed the dawn-dusk asymmetry in temperature disturbances within the high-latitude mesosphere and lower thermosphere(MLT)during the main phase of geomagnetic storms in this *** analysis of five geomagnetic superstorm events indicated that during the main phase,negative temperature disturbances were more prevalent on the dawn side than on the dusk side in the high-latitude MLT *** of a statistical analysis of 54 geomagnetic storm events also revealed a notable disparity in temperature disturbances between the dawn and dusk *** high latitudes,38.2%of the observational points on the dawn side exhibited negative temperature disturbances(less than−5 K),whereas on the dusk side,this percentage was only 29.5%.In contrast,at mid-latitudes,these proportions were 34.1%and 36.5%,respectively,showing no significant *** also conducted a statistical analysis of temperature disturbances at different altitudes,which revealed an increase in the proportion of warming disturbances with ***,the proportion of cooling disturbances initially rose with altitude,reaching a peak around 105 km,and subsequently *** temperature disturbance differences could be explained by the day-night asymmetry in vertical wind disturbances during storm conditions.

关键词： dawn dusk asymmetry SABER(Sounding of the Atmosphere using Broadband Emission Radiometry) geomagnetic storms mesosphere and lower thermosphere

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2SWUNet: small window SWin UNet based on tansformer for building extraction from high-resolution remote sensing images

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Optoelectronics Letters 2024年第10期20卷 599-606页

作者： YU Jiamin CHAN Sixian LEI Yanjing WU Wei WANG Yuan ZHOU Xiaolong college of Computer Science and Technology Zhejiang University of Technology Key Laboratory of Meteorological Disaster(KLME) Ministry of Education & Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters(CIC-FEMD) Nanjing University of Information Science &Technology college of geographic information Modern Industry Zhejiang University of Technology college of Electrical and information Engineering Quzhou University

Models dedicated to building long-range dependencies often exhibit degraded performance when transferred to remote sensing images. Vision transformer(Vi T) is a new paradigm in computer vision that uses multi-head self-attention(MSA) rather than convolution as the main computational module, with global modeling capabilities. However, its performance on small datasets is usually far inferior to that of convolutional neural networks(CNNs). In this work, we propose a small window SWin UNet(2SWUNet) for building extraction from high-resolution remote sensing images. Firstly, the 2SWUNet is trained based on swin transformer by designing a fully symmetric encoder-decoder U-shaped architecture. Secondly, to construct a reasonable U-shaped architecture for building extraction from high-resolution remote sensing images, different forms of patch expansion are explored to simulate up-sampling operations and recover feature map resolution. Then, the small window-based multi-head self-attention(W-MSA) is designed to reduce the computational and memory burden, which is more appropriate for the features of remote sensing images. Meanwhile, the pre-training mechanism is advanced to make up for the lack of decoder parameters. Finally, comparison experiments with other mainstream CNNs and Vi Ts validate the superiority of the proposed model.

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Differences in spring precipitation over southern China associated with multiyear La Ni?a events

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Acta Oceanologica Sinica 2024年第2期43卷 1-10页

作者： Guangliang Li Licheng Feng Wei Zhuang Fei Liu Ronghua Zhang Cuijuan Sui National Marine Environmental Forecasting Center Ministry of Natural ResourcesBeijing 100081China State Key Laboratory of Marine Environmental Science College of Ocean and Earth SciencesXiamen UniversityXiamen 361102China Southern Marine Science and Engineering Guangdong Laboratory(Zhuhai) Zhuhai 519082China Key Laboratory of Tropical Atmosphere-Ocean System of Ministry of Education/School of Atmospheric Sciences Sun Yat-Sen UniversityZhuhai 519082China School of Marine Sciences Nanjing University of Information Science and TechnologyNanjing 210044China

Composite analyses were performed in this study to reveal the difference in spring precipitation over southern China during multiyear La Ni?a events during 1901 to 2015. It was found that there is significantly below-normal precipitation during the first boreal spring, but above-normal precipitation during the second year. The difference in spring precipitation over southern China is correlative to the variation in western North Pacific anomalous cyclone(WNPC), which can in turn be attributed to the different sea surface temperature anomaly(SSTA) over the Tropical Pacific. The remote forcing of negative SSTA in the equatorial central and eastern Pacific and the local air-sea interaction in the western North Pacific are the usual causes of WNPC formation and *** in the first spring is stronger than those in the second spring. As a result, the intensity of WNPC in the first year is stronger, which is more likely to reduce the moisture in southern China by changing the moisture transport, leading to prolonged precipitation deficits over southern China. However, the tropical SSTA signals in the second year are too weak to induce the formation and maintenance of WNPC and the below-normal precipitation over southern China. Thus, the variation in tropical SSTA signals between two consecutive springs during multiyear La Ni?a events leads to obvious differences in the spatial pattern of precipitation anomaly in southern China by causing the different WNPC response.

关键词： multiyear La Nina precipitation anomaly anomalous western North Pacific cyclone southern China

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Flavonoids from mulberry leaves inhibit fat production and improve fatty acid distribution in adipose tissue in finishing pigs

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Animal Nutrition 2024年第1期16卷 147-157页

作者： Yingying Liu Yinglin Peng Chen Chen Huibo Ren Ji Zhu Yuan Deng Qingming Cui Xionggui Hu Jianhua He Huali Li Xinghui Zhu Yulong Yin Jun He Yi Xiao college of Animal Science and Technology Hunan Agricultural UniversityChangsha410128China Hunan Institute of Animal and Veterinary Science Changsha410131China Key Laboratory of Conservation and Genetic Analysis of Local Pig Breed Germplasm resources Changsha410131China college of information and Intelligence Hunan Agricultural UniversityChangsha410128China Institute of Subtropical Agriculture Chinese Academy of SciencesChangsha410125China

This study evaluated the effects of flavonoids from mulberry leaves(FML)on plasma biochemical indices,serum activities of lipid metabolism-related enzymes,fat morphology,fatty acid composition,and lipid metabolism in different adipose tissues of finishing *** used 120 Chinese hybrid barrows of Berkshire and Bama mini-pigs with an average initial body weight of 45.11±4.23 *** pigs were randomly assigned to five treatment groups and fed a control diet based on corn,soybean meal,and wheat bran or a control diet supplemented with 0.02%,0.04%,0.08%,or 0.16%*** experimental group had six replicates(pens),with four pigs per *** a 7-d adaptation period,the feeding trial was conducted for 58 *** and adipose tissue samples were collected from 30 pigs(one pig per pen)at the end of the *** results showed that FML supplementation significantly decreased the feed intake to body gain ratio,the plasma concentrations of total cholesterol and free fatty acids,and the serum activity of 3-hydroxy-3-methylglutaryl coenzyme A reductase(linear or quadratic effects,P<0.05),and decreased the plasma triglyceride concentration(quadratic,P=0.07).Increasing FML supplementation increased the average daily gain and serum activities of lipoprotein lipase(linear and quadratic effects,P<0.05)and adipose triglyceride lipase(linear,P<0.05).Dietary FML supplementation decreased the adipocyte area in the dorsal subcutaneous adipose(DSA)tissue of finishing pigs(linear,P=0.05)and increased the adipocyte area in the visceral adipose tissue(quadratic,P<0.01).Increasing FML supplementation decreased the C20:1 content in DSA,abdominal subcutaneous adipose,and visceral adipose tissues of finishing pigs(P<0.05)and increased the C18:3n3 and n-3 PUFA contents(P<0.05).The lipid metabolism genes were regulated by the PPARγ-LXRa-ABCA1 signaling pathway,and their expressions differed in different adipose *** findings suggest that FML improved growth performance,regulated lipid met

关键词： Finishing pig Mulberry leaf Flavonoid Lipid metabolism Fatty acid Lard

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区域场地土壤跨介质污染物多源清单:中国场地土壤污染防治的新策略

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Science Bulletin 2024年第5期69卷 566-569页

作者：李晔何天豪丁方方李小飞黄晔何尔凯蔡虹明史沛丽柳检李岩曲瑞娟郑旺谢云峰刘杏梅赵玲刘敏 Key Laboratory of geographic information Science(Ministry of Education) School of Geographic SciencesEast China Normal UniversityShanghai 200241China School of Environmental Science and Engineering Shanghai Jiao Tong UniversityShanghai 200240China college of Environmental natural Resource Sciences Zhejiang UniversityHangzhou 310058China Technical Centre for Soil Agriculture and Rural Ecology and EnvironmentMinistry of Ecology and EnvironmentBeijing 100012China Institute of Surface-Earth System Science School of Earth System ScienceTianjin UniversityTianjin 300072China State Key Laboratory of Pollution Control and resources Reuse School of the EnvironmentNanjing UniversityNanjing 210023China

China has experienced rapid economic development and industrialization during the past four decades,leading to widespread distribution of various types of industrial facilities[1].With the understanding of soil contamination induced by industrial sites and rapid urbanization,abandoned industrial sites are generally reclassified for urban land[2].The remained brownfield sites(the sites of abandoned,idle,or under used industrial and commercial facilities where expansion or redevelopment is hindered by environmental contamination)exhibit great health risks to the residents due to that pollutants were continuously discharged intothe surrounding environments[3].

关键词：土壤污染防治 environments facilities

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Mixed D-vine copula-based conditional quantile model for stochastic monthly streamflow simulation

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Water Science and Engineering 2024年第1期17卷 13-20页

作者： Wen-zhuo Wang Zeng-chuan Dong Tian-yan Zhang Li Ren Lian-qing Xue Teng Wu college of Water resources and Hydrology Hohai UniversityNanjing 210098China Yellow River Research Center Hohai UniversityNanjing 210098China

Copula functions have been widely used in stochastic simulation and prediction of ***,existing models are usually limited to single two-dimensional or three-dimensional copulas with the same bivariate block for all *** address this limitation,this study developed a mixed D-vine copula-based conditional quantile model that can capture temporal *** model can generate streamflow by selecting different historical streamflow variables as the conditions for different months and by exploiting the conditional quantile functions of streamflows in different months with mixed D-vine *** up-to-down sequential method,which couples the maximum weight approach with the Akaike information criteria and the maximum likelihood approach,was used to determine the structures of multivariate Dvine *** developed model was used in a case study to synthesize the monthly streamflow at the Tangnaihai hydrological station,the inflow control station of the Longyangxia Reservoir in the Yellow River *** results showed that the developed model outperformed the commonly used bivariate copula model in terms of the performance in simulating the seasonality and interannual variability of *** model provides useful information for water-related natural hazard risk assessment and integrated water resources management and utilization.

关键词： Stochastic monthly streamflow simulation Mixed D-vine copula Conditional quantile model Up-to-down sequential method Tangnaihai hydrological station

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A Novel Tensor Decomposition-Based Efficient Detector for Low-Altitude Aerial Objects With Knowledge Distillation Scheme

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IEEE/CAA Journal of Automatica Sinica 2024年第2期11卷 487-501页

作者： Nianyin Zeng Xinyu Li Peishu Wu Han Li Xin Luo Department of Instrumental and Electrical Engineering Xiamen UniversityXiamen 361005China IEEE college of Computer and information Science Southwest UniversityChongqing 400715China

Unmanned aerial vehicles(UAVs) have gained significant attention in practical applications, especially the low-altitude aerial(LAA) object detection imposes stringent requirements on recognition accuracy and computational resources. In this paper, the LAA images-oriented tensor decomposition and knowledge distillation-based network(TDKD-Net) is proposed,where the TT-format TD(tensor decomposition) and equalweighted response-based KD(knowledge distillation) methods are designed to minimize redundant parameters while ensuring comparable performance. Moreover, some robust network structures are developed, including the small object detection head and the dual-domain attention mechanism, which enable the model to leverage the learned knowledge from small-scale targets and selectively focus on salient features. Considering the imbalance of bounding box regression samples and the inaccuracy of regression geometric factors, the focal and efficient IoU(intersection of union) loss with optimal transport assignment(F-EIoU-OTA)mechanism is proposed to improve the detection accuracy. The proposed TDKD-Net is comprehensively evaluated through extensive experiments, and the results have demonstrated the effectiveness and superiority of the developed methods in comparison to other advanced detection algorithms, which also present high generalization and strong robustness. As a resource-efficient precise network, the complex detection of small and occluded LAA objects is also well addressed by TDKD-Net, which provides useful insights on handling imbalanced issues and realizing domain adaptation.

关键词： Attention mechanism knowledge distillation(KD) object detection tensor decomposition(TD) unmanned aerial vehicles(UAVs)

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陆表生产力对水分胁迫响应的全球评估（英文）

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Science Bulletin 2024年第15期 2352-2356页

作者：刘琦郭华东张佳华李世杰李吉姚凤梅 Miguel D.Mahecha Jian Peng School of Computer Engineering Jiangsu University of Technology college of Earth and Planetary Sciences University of Chinese Academy of Sciences Department of Remote Sensing Helmholtz Centre for Environmental Research-UFZ Remote Sensing Centre for Earth System Research Leipzig University Aerospace information Research Institute Chinese Academy of Sciences Remote Sensing and Digital Earth Center School of Computer Science and Technology Qingdao University Key Laboratory of Earth Observation of Hainan Province Hainan Aerospace Information Research Institute Chinese Academy of Sciences School of geographical Sciences Nanjing University of Information Science and Technology Key Laboratory of Water Cycle and Related Land Surface Processes Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences German Centre for Integrative Biodiversity Research (iDiv)

In recent decades, climate warming has led to an increase in atmospheric water demand, a potential reduction in soil moisture and a rise in the frequency and intensity of droughts. This has intensified the effects of water stress on plants, leading to more vegetated areas experiencing water stress [1,2]. Soil moisture (SM)and vapor pressure deficit (VPD) are considered the two main factors that exert water stress on vegetation activity and terrestrial productivity, thereby affecting the global carbon cycle [3].

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