Showing 141 - 160 results of 217 for search '"the Yellow River"', query time: 0.08s Refine Results
  1. 141
  2. 142

    How Marine Megabenthos Fauna Responds to River Discharge and Artificial Flood in Large River Estuary by Debin Sun, Qinglu Fu, Jiao Wang, Linlin Chen, Jing Chen, Yilin Wang, Baoquan Li

    Published 2025-01-01
    “…An eco‐friendly discharge management of the Yellow River is needed to mitigate the impact.…”
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  3. 143
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  5. 145

    The Fruit Malus prunifolia (Malus micromalus Mak.): A Minireview of Current Knowledge of Fruit Composition and Health Benefits by Xiaolong Ji, Chunyan Hou, Xudan Guo

    Published 2020-01-01
    “….), which belongs to the Rosaceae family, grows mostly in the upper-middle reaches of the Yellow River area. It has long been popular as a fruit commodity and as a natural remedy. …”
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  6. 146
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  9. 149

    Impact of Different Potential Evaporation Estimation Methods on Runoff Simulation of Weihe River on the Loess Plateau by WU Haizhe, LIU Dengfeng, HUANG Qiang, YANG Qian, LIN Mu, PAN Baozhu

    Published 2020-01-01
    “…The research results will provide a reference for the management ofregional evapotranspiration in the ecological protection of the Yellow RiverBasin.…”
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  10. 150
  11. 151

    Research on Fluid Viscous Damper Parameters of Cable-Stayed Bridge in Northwest China by Xiongjun He, Yongchao Yang, Xiang Xiao, Yulin Deng

    Published 2017-01-01
    “…To optimize the aseismic performance of nonlinear fluid viscous dampers (FVD) of cable-stayed bridge in the highly seismic zone, Xigu Yellow River Bridge in northwest China is taken as an example. …”
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  12. 152

    Application of Harris Hawks Optimization Algorithm in Optimization of Generalized Nonlinear Muskingum Parameters ——A Case Study of the Luohe River by CHEN Haitao, ZHAO Zhijie

    Published 2024-01-01
    “…The Muskingum model plays an important role in river flood simulation,and its simulation accuracy relies on the optimal selection of parameters.To address the current challenges in parameter calibration for the Muskingum model,such as complex solution processes and low accuracy,the use of the Harris Hawks optimization (HHO) algorithm was proposed to optimize its parameters.HHO algorithm has a wide range of global search capabilities,with fewer parameters to be adjusted.Taking Luohe River,a tributary of the Yellow River,as the research object,the generalized nonlinear Muskingum model was used to simulate the flood in the Yiyang-Baimasi section of the river.The parameters were optimized by employing the HHO algorithm,particle swarm optimization (PSO) algorithm,and ant colony optimization (ACO) algorithm,respectively.The results show that the generalized nonlinear Muskingum model based on the HHO algorithm achieved high simulation accuracy in the Yiyang-Baimasi section of the Luohe River,with a Min.SSD of 1 237 and the flood peak error (DPO) of only 5,outperforming those obtained through optimization using PSO algorithm and ACO algorithm.The results are suitable for application in flood forecasting in the Yiyang-Baimasi section of the Luohe River.…”
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  13. 153

    Numerical Simulation of the Effect of Long-Term Reclamation on the Flow and Sediment Concentration in Binhai Port,Yancheng by ZHU Siyu, LU Dan

    Published 2021-01-01
    “…Binhai Port is located at the most obvious corrosive coastline of the abandoned Yellow River delta in the north of Jiangsu Province,where the near-shore wave and flow dynamic is strong,the sediment movement is relatively active,the underwater terrain is complex and the slope erosion is obvious.Based on the measured hydrological and sediment data and a two-dimensional mathematical model for wave,tidal current and sediment,this paper quantitatively analyzes the influence of the long-term reclamation project on the flow and sediment concentration in the study area and the surrounding estuary,and emphatically discusses the back silting characteristics and deposition causes of the 300 000-ton channel during normal and rough weather.The results show that:After the implementation of the reclamation project,the flow and sediment characteristics of the study area don't change in a large scale,and mainly the flow and sediment near the project site is affected.The sediment is deposited after the channel dredging and a sediment deposit centered at the area with peak sediment concentration is formed in the channel,with decreasing deposition thickness to the port and outer sea channel.During rough weather,the maximum deposition thickness can reach 8~24 times of that in normal weather,but it is less than 0.2 m/d and there is no sudden silting and navigation blocking.…”
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  14. 154
  15. 155

    Multivariate Stochastic Simulation of Wind-solar-hydro Resources Considering Spatio-temporal Correlations by CHENG Qiuyu, HUANG Qiang, MING Bo, CHEN Jing, LI Yan

    Published 2021-01-01
    “…Complementary operation of wind-solar-hydro resources is an effective mean to promote the consumption of new energy and improve resource use efficiency.Synchronous simulation of wind-solar-hydro resources can provide reliable data for the planning,design,management and risk assessment of the complementary system.Taking ten million-kilowatt-class wind-solar-hydro complementary system upstream Yellow River as an example,after proposing a multivariate stochastic simulation method with consideration of spatio-temporal correlations between wind-solar-hydro resources,this paper firstly analyzes the spatio-temporal correlations of wind-solar-hydro resources,with runoff as the main variable,and wind power and photovoltaic power output as the slave variable for the stochastic simulation;secondly,simulates the runoff in different time series by a seasonal autoregressive model;finally,simulates the photovoltaic power output by the Copula function and conditional probability formula according to the correlation analysis between runoff and wind and photovoltaic power output,as well as the wind power output by a seasonal autoregressive model.The results show that the proposed method can accurately simulate the multivariable time series that can satisfy the historical statistical regularity.…”
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  16. 156

    Effect of filling materials on reclaimed soil potassium adsorption and desorption in mining area by Kexin JING, Zhoubin DONG, Huaizhi BO, Zhiliang WANG, Shaohao HU, Xinju LI, Xiangyu MIN

    Published 2024-12-01
    “…The Qe4 of the reclaimed minesoils backfilling layer filled with Yellow River sand (HHST) is the lowest, only 1.81 mg/g. …”
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  17. 157

    Research on Impacts of Climate Change and Human Activitieson Runoff in the Yiluo River Based on SWAT Model by LIU Lyuliu, WANG Xiujie, ZHANG Pengfei

    Published 2020-01-01
    “…Taking Yiluo River in the Yellow River Basin as the research object, this paper analyzes the impacts of numbers of HRUs (Hydrological Response Units) on SWAT model parameters and simulation performance and applies it on the attribution analysis of the change on annual runoff in Yiluo River by comparing among six HRUs division schemes. …”
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  18. 158

    Comprehensive Utilization Pattern of the Bohai Rim Coastline Using the Restrictive Composite Index Method by Yun Zhang, Tong Wu, Yuanzhi Ye

    Published 2021-01-01
    “…Industrial production areas along the coastline are mainly distributed in the East Liaodong and Bohai bays, and ecological protection areas are located in the estuaries of the Liaohe and Yellow River. The improved restricted comprehensive index method model weakens the interaction among variables and makes the calculation results closer to the real situation. …”
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  19. 159

    Data-Driven-Based Attribution of Runoff Changes in Tuwei River Basin in the Northern Windy-Sandy Region of Shaanxi by YU Huanghao, LI Binquan

    Published 2022-01-01
    “…The key point in analyzing the attribution of runoff changes is whether the natural runoff process of the basin can be accurately simulated.However,the application accuracy of hydrological models in arid and semi-arid regions of the Loess Plateau is generally not high.Taking the Tuwei River basin in the northern windy-sandy region of Shaanxi in the middle reach of the Yellow River as an example,this paper proposed an improved natural runoff simulation method based on the data-driven approach,so as to quantitatively analyze the effects of climate changes and human activities on runoff changes in the Tuwei River basin.The results show that the annual runoff series in the basin decreased significantly from 1961 to 2015,and there were two abrupt changes in 1979 and 1996,respectively.The annual runoff of the two periods (1980—1996 and 1997—2015) is 25.8% and 47.1% lower than that of the natural period (1961—1979),respectively.The runoff simulation accuracy of the three data-driven methods after improvement rises significantly.Specifically,the improved method proposed by Zhao Wenlin has the highest accuracy,and the Nash-Sutcliffe efficiency coefficient of annual runoff simulation in the natural period is 0.77.Climate change is the main reason for the significant decrease in the runoff between 1980 and 1996 (with a contribution of up to 80.9%).However,from 1997 to 2015,the contribution of climate change and human activities to the decrease in the runoff changed,with the influence of human activities increasing to a proportion of 58.8%.…”
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  20. 160

    Construction of Comprehensive Hydrological and Meteorological Drought Index Based on Base Flow and Precipitation and Its Application in Weihe River by FAN Jingjing, SUN Xue, ZHOU Bin, LIU Dengfeng, LIU Chun, LIN Shuai, LI Yunyun

    Published 2022-01-01
    “…To respond to the national strategy of ecological protection in the Yellow River Basin ,we make a comprehensive assessment of drought in this basin.According to the meteorological data of 20 meteorological stations in Weihe River from 1960 to 2010 and the hydrological data from Huaxian Hydrological Station,the base flow data are obtained by digital filtering,and a new comprehensive drought index related to basic flow and precipitation,i.e.…”
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