Most Download

  • Published in last 1 year
  • In last 2 years
  • In last 3 years
  • All

Please wait a minute...
  • Select all
    |
  • HU Shaowei , GUO Yaohui , XU Yaoqun, LI Liang, LONG Kun, WANG Chenfeng
    Yellow River. 2025, 47(7): 1-7.
    Abstract (539) PDF (1197)   Knowledge map   Save

    In order to provide references for landslide hazard prevention and research on the sensitivity of landslide-causing factors, the Longyangxia-Jishixia section of the upper Yellow River basin was selected as the study area, and 16 factors such as elevation, slope, terrain roughness and lithology were taken as typical landslide hazard factors. The collinearity test was carried out by Spearman correlation coefficient method to select landslide hazard factors with strong correlation. GIS was used to reclassify landslide disaster-causing factors and analyze their weights with geographic detectors. The geographic detection model results were coupled with random forest model to obtain landslide prediction probabilities under different causative factors. ROC curve was used to verify the accuracy of prediction results. The results indicate that athe explanatory power of the interaction between causative factors is greater than that of individual factors, with the synergistic effect of elevation and other topographic parameters being particularly significant. bThe importance of drainage density, topographic roughness, and profile curvature is nearly zero, suggesting that these features may not have a direct or significant correlation with landslide occurrence. cThere are notable differences in the contribution of causative factors to the prediction results, with the elevation-slope combination being the core driving unit for landslide development in the study area. dThe AUC value ofrandom forest model has achieved 0.93, indicating strong classification performance.

  • HU Shaowei, LIAO Yi , XU Yaoqun, HU Yuquan, ZHAO Yahong
    Yellow River. 2025, 47(7): 20-27.
    Abstract (82) PDF (463)   Knowledge map   Save

    Concrete face rockfill dams (CFRDs) are widely utilized in water conservancy and hydropower engineering due to their excellent durability, strong impermeability, and cost-effectiveness. However, their seismic safety during service has raised significant concerns. In this study, a concrete face rockfill dam located on the upper reaches of the Yellow River was selected as the research object. Based on the structural characteristics of the dam and geological conditions, a three-dimensional numerical model was established to simulate the dams dynamic response under seismic action by integrating the Duncan-Chang model and the concrete damage plasticity constitutive model. Through this model, the dynamic responses of the dam under varying seismic intensities were analyzed, revealing the evolution of stress distribution and structural deformation characteristics. The results indicate that the critical zones prone to transverse damage under seismic action are located at two-fifths of the total height of the concrete face and the toe slab. Furthermore, based on the computational results, the correlation between failure variables and structural damage patterns under seismic action was investigated, and vulnerability curves under different seismic intensity levels were plotted. The findings demonstrate that with the increase of  seismic intensity, the vulnerability curves shows a rightward shift trend, and the failure probability of the dam body rises significantly.

  • 论文
    Yellow River. 2006, 28(1): 23-23.
    针对我国黄河三角洲和长江三角洲海岸线的侵蚀现状,分析了我国海岸线侵蚀主要因素:河流泥沙的减少;海平面的上升或海洋动力因素的增强以及人为因素的影响.对目前我国所采用的海岸防护措施进行了分析,指出应根据海岸侵蚀的具体特点采用不同的措施或多种形式组合,因势利导,使工程达到最好的防护效果.
  • 黄河流域生态保护和高质量发展
     JIAO Shixing;WANG Anzhou;LIN Lushuang;LI Zhongxuan;ZHAO Rongqin;YIN Yixing;DING Hui
    Yellow River. 2024, 46(9): 120-126.
    Abstract (99) PDF (270)   Knowledge map   Save
    为推进农业绿色低碳和高质量发展,利用超效率SBM模型和熵值法,测算了黄河流域农业碳排放效率和农业高质量发展水平,并采用VAR模型探讨了二者的互动关系。结果表明:1)黄河流域农业碳排放效率整体呈上升趋势,甘肃、山西两省,四川、山东、河南、陕西、青海五省,宁夏、内蒙古两自治区分别处于较低、中等、较高水平;2)农业高质量发展水平整体呈波动上升趋势,陕西、山西、宁夏、内蒙古四省(区),青海、甘肃两省,河南、四川、山东三省分别处于较低、中等、较高水平;3)农业碳排放效率提升促进了农业高质量发展,而农业高质量发展对农业碳排放效率影响不显著。基于研究结果,从绿色、可持续发展等方面,提出了提升黄河流域农业碳排放效率和推动农业高质量发展的建议。
  • 水环境与水生态
     LOU Guangyan;GE Lei;HUANG Yufang;MA Hongliang;ZHOU Zijun;SHAN Kai
    Yellow River. 2021, 43(7): 100-103.
    Abstract (22) PDF (248)   Knowledge map   Save
    Ecological protection and highquality development of the Yellow River basin has become a major national strategy. From the perspective of ecosystem protection and river health maintenance, this paper analyzed and evaluated the effect of ecological management in the lower Yellow River. The results show that the ecological base flow, the ecological flow in the sensitive period, the functional maintenance of the ecological corridor and the wetland ecological flow in the important sections of the lower reaches are fully satisfied. Compared with the period of 2009-2010, the number of fish species detected in Henan section and Shandong section has been increased by 16 and 12 respectively. The wetland area of the downstream river has been increased by 7.2% compared with that of 2019. The representative wetland area of reed marsh in estuarine area reaches to 17,300 hectares, exceeding the level of 14,000 hectares when the nature reserve was established in the early 1990s, playing an important role in the protection and restoration of the ecosystem of the lower reaches and the Yellow River delta. At the same time, it also points out that ecological protection and restoration are a longterm process and puts forward some suggestions on deepening ecological regulation in the lower reaches of the Yellow River and strengthening effect evaluation.
  • 论文
    Yellow River. 2010, 32(12): 188-189.
    对于荷载引起的混凝土裂缝,世界各国规范计算公式和方法各不相同,计算公式中荷载取值也各不相同.在参考国外裂缝宽度控制措施的基础上,探讨了我国混凝土结构设计规范中钢筋混凝土构件裂缝宽度计算中荷载取值问题,指出:长期作用在结构上并对裂缝有长期影响的是考虑可变荷载准永久值组合的荷载长期效应组合;对HRB500级钢筋混凝土构件裂缝宽度进行计算时,建议采用可变荷载准永久值组合的荷载长期效应组合进行计算.
  • Yellow River. 2025, 47(S1): 50-51.
    Abstract (58) PDF (235)   Knowledge map   Save
  • SU Xiaojun, XU Zengguang, ZHANG Ye, KANG Xinyu, ZHOU Tao, YANG Tao, LI Kangping
    Yellow River. 2025, 47(7): 144-149.
    Abstract (67) PDF (204)   Knowledge map   Save

    混凝土坝;变形监测;变形预测;LSTMTCN

  • Yellow River. 2025, 47(S1): 112-113.
    Abstract (45) PDF (181)   Knowledge map   Save
  • 论文
    ZHAO Kai;CHANG Li-feng
    Yellow River. 2012, 34(5): 144-146.
    基于强度折减理论,以ABAQUS有限元软件为平台,以数值计算不收敛为边坡失稳的判据,对云南富宁港岸坡安全系数随岩体参数的变化进行了数值模拟,结果表明:随着岩体强度的变化,岸坡稳定性由安全状态到临界状态,最后变为不安全状态;周期性浸泡对岩体力学参数的劣化会导致岸坡稳定性降低.
  • 论文
    YANG Li-feng;CHEN Xiong-bo;LIANG Zhi-yong
    Yellow River. 2010, 32(6): 24-26.
    分析了现有多泥沙河流输沙用水量研究方法存在的问题,提出了塑槽输沙用水量的概念,并采用实测资料分析、经验公式推导等方法分析了塑槽输沙用水量的影响因素.结果表明:①采用塑槽输沙用水量的提法,可以回避输沙用水量占总水量的比例问题,无需划分漫滩洪水占总水量的比例;②建立的汛期和洪水期塑槽输沙用水量计算式计算结果比较可靠.
  • 水环境与水生态
     SONG Zengfang;CHENG Yufei;LI Li;WANG Wenjuan
    Yellow River. 2021, 43(3): 112-115.
    Abstract (27) PDF (166)   Knowledge map   Save
    The construction of hydropower stations in Qilian Mountains has changed the hydrological conditions of the lower reaches of the river. In the dry season, the flow of the reduced river reaches is cut off, the self purification capacity of the river is weakened and the pollution of the river is aggravated. In order to restore the ecological environment of aquatic organisms in Qilian Mountain area, the improved Tennant method was used to test the rationality of four commonly used ecological flow calculation methods, namely, the improved annual distribution method, the monthly minimum ecological flow, the annual distribution method and the NGPRP method. The evaluation results of NGPRP method and improved year distribution method are the best, which are combined to calculate the monthly minimum ecological flow of Yingluoxia Station. On this basis, the monthly minimum ecological flow of 7 diversion power stations the main stream of Heihe River was calculated by hydrological analogy method. The average monthly variation of the minimum ecological flow of each diversion type power station in the main stream of Heihe River is 8.43-83.99 m3/s, showing a trend of increasing at first and then decreasing, gradually increasing from January to reaching the maximum value in July and decreasing continuously from July to December.
  • XU Xuehong
    Yellow River. 2025, 47(8): 1-4.
    Abstract (206) PDF (162)   Knowledge map   Save

    Through applying technologies such as digital twin, artificial intelligence, mobile communication, and the Internet to enable intelligent management of the Yellow River conservation and governance, the construction of digital twin Yellow River can realize the real-time monitoring, precise early warnings, efficient command and dispatch, and scientific decision-making. In order to provide reference for the digital twin Construction in the Yellow River Basin and nationwide, this paper analyzed the Three Yellow Riversconstruction system of Yellow River Conservancy Commission (YRCC), particularly the progress and achievements in the construction of digital twin Yellow River. Focusing on the improvement of capabilities of flood control project safety and flood defense in the lower reaches of the Yellow River, this paper proposed the key priorities for digital twin flood control project construction: strengthening the integrated sky-space-earth-water-projectmonitoring and sensor network, establishing data aggregation, governance standards, and update mechanisms, improving the data foundation for flood control projects, accelerating the integration of mathematical models with flood control project data, enhancing the Three Yellow Riverslinkage and business applications.

  • 论文
    Yellow River. 2011, 33(6): 89-91.
    沉水植物占据着水体生态系统的关键界面,是水-沉积物环境质量及其界面物质迁移转化的重要调节器,对水体生产力及生物地球化学循环具有十分重要的影响.沉水植物在生长发育、衰亡过程中,通过直接或间接作用影响沉积物磷的迁移转换.针对已有研究成果存在的问题,提出了今后的研究方向:研究方法的改进与创新,拓展研究范围,开展生物相磷的相互迁移转化研究,深化不同类型沉水植物对沉积物磷影响机制的研究等.
  • ZHANG Huarui, YU Bo, XU Peng, ZENG Feixiang
    Yellow River. 2025, 47(7): 35-39.
    Abstract (82) PDF (158)   Knowledge map   Save

    For the landslide disaster in the section from Chada Village to Songba Village in the upper reaches of the Yellow River, a logistic regression model was established to conduct a systematic analysis of its susceptibility. Based on the analysis of the disaster-pregnant environment, eight influencing factors, including Normalized Difference Vegetation Index (NDVI), Digital Elevation Model (DEM), slope, aspect, precipitation, temperature, ground temperature and SBAS-InSAR time-series surface deformation data were selected to build an indicator system for landslide susceptibility analysis. Subsequently, the binary logistic regression model was utilized to delve into the quantitative relationships between these influencing factors and the occurrence of landslides. In order to further refine the research, spatial consistency processing was performed on local influencing factors, and 362 landslide grid points, covering a total area of approximately 2.855 km2 were established. The regression coefficients and regression equations for each influencing factor were then determined by using the binary logistic regression model. Finally, the occurrence probability of landslide hazards in the study area was derived by using the probabilistic implicit function. Based on the results obtained from the logistic regression model, the spatial distribution patterns of landslide susceptibility in the study area were discussed. It is found that high-risk areas are mainly concentrated in regions with steep terrain, poor vegetation cover and harsh meteorological conditions.

  • 论文
    GUO Lin-tao;ZHANG Long;ZHAO Hai-chao
    Yellow River. 2010, 32(11): 130-132.
    Abstract (14) PDF (157)   Knowledge map   Save
    为了分析混凝土面板挤压式边墙的物理力学性能,结合黄河公伯峡、积石峡水电站挤压墙施工质量检测,通过配合比验证试验和现场检测结果,指出:当挤压墙混凝土湿密度在2.15~2.20 g/cm3范围内,即干密度为2.04~2.09 g/cm3、弹性模量在4 000~6 000 MPa时,能够满足施工要求和坝体渗透要求.
  • LI Jiang, WEI Guanghui, WANG Luyang, TANG Fengzhen, WANG Yuanjian
    Yellow River. 2025, 47(6): 31-38. https://doi.org/10.3969/j.issn.1000-1379.2025.06.005
    Abstract (118) PDF (157)   Knowledge map   Save
    In view of the issues existing in the current research on runoff evolution in the Aksu River basin, such as a single time-scale and insufficient consideration of the sensitivity of sequence length, a variety of methods such as Mann-Kendall trend test, Theil-Sen Median trend estimation, Pettitt mutation test and wavelet analysis were adopted to systematically study the runoff evolution laws of the main and tributary streams in this basin at different time scales such as inter-annual, intra-annual and flood events. The results show that the annual runoff of the Taushgan River, Aksu New River and Tailan River increase gradually, while the change of the Kumarak River is not obvious. The periodic oscillation of the four rivers is the most obvious on the 35-year, 55-year, 35-year and 55-year timescale, and the corresponding periods are 21-23 years, 32-35 years, 19-25 years and 36 years respectively. The annual distribution of runoff in the Aksu River basin is uneven, the runoff is larger in summer and autumn, and smaller in winter and spring, and the concentrated period is from June to August. The annual maximum flood peak discharge of the mainstream and tributaries fluctuate greatly, mainly concentrate in July and August. The key periods for flood control are July-September, April-August, July-August and July respectively. The tendency, mutability and periodicity analysis results of the runoff in the Aksu River watershed are all affected by the length of time series.
  • 论文
    Yellow River. 2010, 32(9): 94-96.
    根据水泥土搅拌桩的现场静载试验,测量了桩的轴向应变,计算了桩身轴力、桩侧摩阻力,分析了桩的荷载传递特性.结果表明:水泥土搅拌桩表现出摩擦桩的特性;荷载主要在一定的范围内传递,桩的轴力和侧摩阻力在桩体上部的衰减较快;主要在桩顶处发生横向拉裂破坏;桩体破坏前后荷载的传递机理是不同的.
  • 专题研究
     REN Xiping
    Yellow River. 2021, 43(4): 127-130.
    Abstract (19) PDF (142)   Knowledge map   Save
    Qinling Lingnan TBM excavation section of HanjiangtoWeihe River Water Diversion Project is the most difficult section with the largest buried depth, the most frequent rock burst and the highest surrounding rock strength. Under the superposition of multiple adverse geological, the TBM equipment key parts and components in the operation of the limit load for a long time, in the process of the construction of normalized moderate to strong rock burst, leading to the top shield is shock damage. Through the analysis of the damage of the top shield and the necessity of reconstruction and replacement, this paper had drawn up an implementation plan of the reconstruction and optimization of the top shield, replacement and installation, and analyzed the technical difficulties in the implementation process, so as to improve the performance of the top shield quickly and safely. The results show that the replacement and repair of the top shield in the process of tunneling of TBM equipment in the section with frequent rock bursts in Qinling tunnel improve the support operation efficiency and ensure the safety of personnel and equipment.
  • YU Zhenzhen, YAN Li, QIN Fen, SUN Xiaojuan, MU Weichen, ZAI Kaixin, HUANG Jiefang
    Yellow River. 2025, 47(8): 10-14.
    Abstract (138) PDF (132)   Knowledge map   Save

    In order to effectively support scientific decision-making for ecological protection in the Yellow River Basin, with digitization, networking and intelligence as the main lines, and based on the characteristics of the ecological environment in the basin, a digital twin platform for ecological protection in the Yellow River Basin was constructed. A model framework including information infrastructure, data base, model and technology simulation, business applications was designed. By classifying and compiling monitoring data on water resources, water ecology and water environment, it established a comprehensive data system for the entire basin. Integrated data collection and monitoring, big data integration and analysis, cloud computing and edge computing integration, digital twin modeling and simulation and other technologies were used to realize the data aggregation and presentation of ecological environment factors such as ecological environment status, natural reserve distribution, ecological flow guarantee and so on. Through platform ecological data visualization, ecological simulation and ecological perspective application practice, the water function zoning and statistical situation of the Yellow River Basin, the evolution of key protected animals and plants in the estuarine delta, the evolution of land use types and the inundation range of the Jingtai Stone Forest caused by the Heishanxia Water Control Project were demonstrated, enhancing the multi-source data aggregation governance and scientific decision-making for ecological protection in the Yellow River Basin.

  • 水环境与水生态
    CHEN Yi;SHAO Xiongfei;LI Shifeng;WANG Yan
    Yellow River. 2017, 39(11): 112-117.
    The article subdivided the ecosystem of Tiaoxi catchment in Zhejiang Province into three subsystems of socioeconomy, ecosystem and environmental supports, and adopted entropy weight matter element model to analyze and evaluate the characteristics of index values in 1998, 2003 and 2008. The results show that the status of socioeconomic subsystem changes from reasonable into not conducive to the healthy development of the ecological environment and the ecoenvironment state is on the subhealth level, comprehensive correlation values vary from -0.235 0(1998) to -0.083 3 (2008), showing the ecosystem is away from health status gradually,and measures such as pollution control, environment investment and management are strengthened simultaneously. Evaluation on the overall ecosystem based on fractal theory, the fractal dimensions in the three years is obtained,which is 0.619 4,0.674 9, and 0.680 6 respectively, foreshowing that the ecosystem are facing increasing pressures and intimidation and developing toward reverse and unhealthy direction under urbanization. Comprehensive analysis illustrates that urbanization has caused adverse effects on entire ecosystem of Tiaoxi catchment, and therefore urban development and land use should give more consideration to environment protection in the future in order to achieve a stability, healthy and orderly ecosystem.
  • 论文
    Yellow River. 2007, 29(10): 86-87.
    Abstract (18) PDF (129)   Knowledge map   Save
    通过对黄河下游水闸现场安全检测,阐述了回弹法、超声-回弹综合法及钻芯法测试混凝土强度的适用性问题,并结合工程实例,对回弹法检测的局限性进行了分析,认为在具备条件的情况下,应采用多种方法综合审慎地评价混凝土的强度.
  • 防洪治河
    HAN Lin;LOU Xuan;MA Xiaobing;LI Kun
    Yellow River. 2016, 38(2): 37-39.
    Abstract (13) PDF (128)   Knowledge map   Save
    Based on the monitoring data of Zhaokou embankment seepage automatic monitoring system in Lower Yellow River, the dike seepage safety evaluation and prediction model was established with gray theory and method, and the dyke seepage safety evaluation process for Zhaokou embankment was put forward. The results show that it is feasible to do dyke seepage safety evaluation and prediction with the automatic monitoring data for embankment.
  • ZHANG Min, ZHANG Chunjin, MA Dongfang, LI Xianxin, QI Daokun, SUN Zanying
    Yellow River. 2025, 47(8): 83-89.
    Abstract (125) PDF (128)   Knowledge map   Save

    After the operation of reservoir impounding and sediment retention, it will cause the downstream river channel to be eroded and cut down, and even change the river pattern, which will have a certain impact on the safety of water-related projects. In order to master the rules of river sediment erosion downstream the reservoir, based on the water and sediment as well as cross-sectional observation data since the application of the Xiaolangdi Reservoir for sediment control, this paper analyzed the cumulative scouring volume, average scouring depth, the maximum water depth and the morphological changes of longitudinal and cross-sectional sections of the lower reaches of the river, and studied the influence of water and sediment and boundary conditions on scouring efficiency. The results show that from October 1999 to October 2022, the downstream river channel has accumulated a total of 2.276 billion m3 of erosion, showing the characteristics of more erosion at the upper and less at the lower and uneven distribution along the course. Among them, 70% occurs above Gaocun and 30% below Gaocun. The longitudinal gradient of the river channel increases in the upper and lower sections, while it decreases in the middle section, making the entire longitudinal profile more concave. The river channel has undergone significant widening and downward cutting. The increase in river width is larger at the top and smaller at the bottom, while the increase in water depth is smaller at the top and larger at the bottom. The riverbed has coarsened, with the median particle size increasing by 6% to 79%, and the scouring efficiency of the river channel has significantly decreased. The channel erosion efficiency below the reservoir is closely related to the average flood flow and the cumulative erosion volume in the preceding period. When the accumulative erosion volume above Huayuankou reach reaches 0.6 billion t and the discharge is 2 000 m3/s, the future erosion efficiency will be reduced to -2.9 kg/m3.

  • LI Jiaxin, WU Jidong, WU Wei, MA Daqing, XU Yingjun, PENG Ruyi
    Yellow River. 2025, 47(7): 59-65.
    Abstract (1183) PDF (123)   Knowledge map   Save

    China is a country with severe earthquake disasters, with a wide range of affected areas, high frequency of occurrence, and high intensity of earthquake activity. Roads, as the "lifeline", play an important role in the transportation of materials and personnel. After an earthquake disaster occurs, quickly and accurately obtaining the location of road damage is of great significance for timely dredging of lifelines and carrying out post disaster rescue. In response to the issues of strong shadow interference, high fault missed detection rate, and severe fragmentation in remote sensing identification of road damage after earthquakes, this paper proposed a road damage layer extraction framework that integrated prior knowledge of OpenStreetMap (OSM). The effectiveness of the method was verified by using the 2023 Jishishan M6.2 earthquake as a typical case. By building a four layer technical system of "vector constraint-image segmentation-topology repair-damage detection", rapid localization of road damage in complex terrain areas had been achieved, providing assistance in improving rescue speed and reducing personnel and property losses.

  • 论文
    WANG Li-mei;WANG Jing
    Yellow River. 2011, 33(9): 136-138141.
    Abstract (10) PDF (120)   Knowledge map   Save
    将无沙大孔生态植被混凝土应用到水利护坡工程建设中,可以使混凝土与自然生态和谐相处.在无沙大孔生态混凝土配合技术试验的基础上,增加粉煤灰、减水剂等,研究其对混凝土性能的影响,结果表明:随着粉煤灰掺量的增大,沉浆厚度和沉浆面积先增大后减小;减水剂掺量越大,混凝土沉浆面积和沉浆厚度相应增大;减水剂、粉煤灰对无沙大孔混凝土强度影响不明显.
  • Yellow River. 2025, 47(S1): 152-153.
    Abstract (24) PDF (119)   Knowledge map   Save
  • GAO Ying
    Yellow River. 2025, 47(8): 46-53.
    Abstract (147) PDF (112)   Knowledge map   Save

    In order to scientifically evaluate the level of high-quality development in the Yellow River Basin and explore its spatial differentiation and influencing factors, and then provide a breakthrough point for policy selection to promote high-quality coordinated development in the Yellow River Basin. Based on the concept of strong sustainable development, using the panel data of 81 prefecture-level cities in the Yellow River Basin from 2011 to 2020, measuring the total factor productivity by the the super-efficiency mixed measurement model to represent the level of high-quality development. The Dagum Gini coefficient and Moran index were employed to examine the spatial-temporal differentiation characteristics, and the spatial Durbin model was utilized to explore the influencing factors and spatial spillover effects. The results show that a) the high-quality development level of the Yellow River Basin shows a fluctuating upward trend. The phased deterioration of efficiency change effects hinders high-quality development. Technological progress effect is the main driving force for high-quality development, but it has already shown signs of weakening. b)The spatial differences in the level of high-quality development in the Yellow River Basin are significant and are increasing. The spatial non-equilibrium of total factor productivity within and among the upstream, midstream and downstream regions has shown a synchronous strengthening trend, and the inter-regional differences are the primary cause of the spatial differences in high-quality development in the basin. c)There is a significant spatial correlation in the level of high-quality development among the prefecture-level cities in the Yellow River Basin. d)The influencing factors like environmental regulation, technological innovation, opening up and urbanization are the stable driving factors for high-quality development, and each of these driving factors has different spatial spillover effects.

  • 论文
    Yellow River. 2009, 31(7): 69-69.
    Abstract (15) PDF (108)   Knowledge map   Save
    针对优化结果和电站实际运行存在偏差的问题,将误差理论纳入厂内优化运行中,分析了电站优化运行的固有误差,通过误差传递公式将误差叠加到水轮机效率中,用微增量对误差进行修正.通过编程计算表明,实时修正后的优化结果,能更好地指导电站运行.
  • 水环境与水生态
     SHI Wenbo;CAO Chunyan;SONG Ying;LI Yongjun;DONG Fanghui
    Yellow River. 2020, 42(2): 48-53.
    Abstract (32) PDF (104)   Knowledge map   Save
    The Shandong reach of the Yellow River was measured as the research area in this study. Based on the results of analyzing the temporal and spatial differences of monthly surveillance data of five monitoring sites from 2015 to 2017 according to the analysis of variance (ANOVA), 180 samples were divided into 12 groups by hierarchical cluster analysis. Using the sample mean of each group as the input, the comprehensive water quality identification index of each group was calculated. The results show that the comprehensive water quality of the Shandong reach of the Yellow River is in good condition and the comprehensive water quality of the sampling sections is at class I to class Ⅱ levels. The comprehensive water quality condition has an upwarding trend from 2015 to 2017. The comprehensive water quality of Lijin section is the worst among five monitoring sites and from upstream to downstream, the comprehensive water quality has an upwarding trend except Lijin section.
  • 论文
    LIU Lei;ZHAO Chen-su;HA An-ying
    Yellow River. 2011, 33(4): 20-23.
    选取黄河沙质河床实测资料和模型试验数据,运用图示判断法、相关系数法及相对误差法等方法,对具有代表性的6家丁坝局部冲刷公式进行了验证.结果表明:张红武公式、波尔达科夫公式同黄河实测资料最为符合,计算精度较高,对与丁坝局部冲刷相关的水流泥沙特征因素的反映较为全面,可作为黄河河道整治工程设计的主要依据.
  • 黄河流域生态保护和高质量发展
    MU Xingmin;LIU Zhuoxin;WANG Shuangyin;WEN Yongfu;GAO Peng;ZHAO Guangju;SUN Wenyi;MA Xueyan 
    Yellow River. 2023, 45(9): 24-30.
    Abstract (58) PDF (102)   Knowledge map   Save
    Investigating the impact of vegetation restoration on changes in runoff generation patterns is essential for understanding watershed hydrology and soil erosion processes in a changing environment. This study examined the influence of vegetation restoration to the runoff generation patterns in a typical small watershed in the gullied rolling loess area through stratified insitu doublering infiltration tests and the analysis of the measured flood process before and after vegetation restoration. The results show that a) vegetation restoration has significantly enhanced soil infiltration capacity, resulting in varying degrees of increase in the infiltration rate at different depths (0-60 cm). Vegetation restoration has increased the difference in infiltration capacity between the surface soil and the 10 cm layer. b) Soil infiltration capacity increases significantly with a decrease in soil bulk density and an increase in porosity. Vegetation restoration can affect soil infiltration and runoff generation processes by reducing soil bulk density and increasing porosity. c) After vegetation restoration, the peak flow, runoff depth, runoff coefficient and surface runoff ratio of storm events in the small watershed are decreased, while subsurface runoff is increased. The runoff generation pattern is shifted from excessive infiltration to saturated runoff. These findings indicate that vegetation restoration has an impact on the runoff generation patterns and provide a scientific basis for further studying soil hydrological processes in the Loess Plateau.
  • PENG Ruyi, LI Jiaxin, WU Jidong, XU Yingjun, WANG Lei
    Yellow River. 2025, 47(7): 163-168.
    Abstract (181) PDF (102)   Knowledge map   Save
    It is a common method to extract water areas in SAR remote sensing images based on the threshold segmentation method, which has the advantages of clear physical meaning and low algorithm complexity. The determination of threshold is the key of this type of method, and the existing manual and automatic threshold determination methods suffer from poor timeliness and weak adaptability to water distribution. This article firstly analyzed the reasons for the fluctuation of the optimal segmentation threshold when extracting water bodies based on SAR remote sensing images from the perspective of microwave scattering characteristics of water bodies, mainly including imaging conditions, polarization methods, water surface roughness, and other factors; Secondly, on this basis, a regression model between SAR imaging conditions and water backscattering coefficient was built , and an adaptive threshold segmentation method was proposed for water extraction based on this model. Finally, experiments were conducted by using actual high-resolution SAR remote sensing image data. The test results show that the method has strong adaptability to changes in imaging conditions and other factors, with an extraction accuracy of 94.8%. The extraction process can achieve full process automation, which can effectively improve the accuracy and timeliness of remote sensing flood monitoring.
  • LIANG Lixia, SONG Zheng, ZHANG Zhongyang, WANG Yibo
    Yellow River. 2025, 47(8): 90-95.
    Abstract (958) PDF (100)   Knowledge map   Save

    Based on the random forest model and utilizing the sediment and water process data as well as climatic measurement data from four typical hydrological stations in the Zuli River Basin from 2001 to 2020, this study conducted the simulation and attribution analysis of the dynamic characteristics of sediment and water processes at the basin scale. The results show that the random forest model has good applicability for sediment and water simulation in the Zuli River Basin, with high simulation accuracy and a Nash-Sutcliffe Efficiency (NSE) greater than 0.5 for the vast majority of stations, but the simulation of data peaks is relatively poor. During the period from 2001 to 2020, the climate in the Zuli River Basin generally exhibited a trend towards warming and increased humidity, with an overall increasing trend in runoff and a decreasing trend in annual sediment transport. From 2010 to 2020, the changes in runoff in the Zuli River Basin are primarily influenced by climate change, with a contribution rate of 197.59%; whereas the changes in sediment are mainly reduced due to human activities, with a contribution rate of 162.46%.

  • 论文
    FENG Yue-hua;GAO Zi-le;XIAO Jun-fu
    Yellow River. 2013, 35(3): 76-76.
    通过测坑夏玉米不同生育期不同淹水天数的淹涝试验,探讨了夏玉米各生育阶段不同淹水历时对作物长势变化、产量形成因素和产量的影响.结果表明:夏玉米在苗期和拔节期淹水超过4d,叶面积指数显著降低;百粒重和穗粒数在苗期淹水超过8d、拔节期淹水超过4d时均明显下降;在苗期淹水6d以上、拔节期淹水4d以上、抽雄期淹水6d以上时,对经济产量均产生明显影响.
  • ZHENG Yuanxun, ZHOU Kangkang, HU Shaowei, ZHANG Haichao, YU Guoqing, XU Lukai, PENG Hao
    Yellow River. 2025, 47(7): 116-123.

    The evaluation of landslide susceptibility is of great significance for regional disaster prevention and mitigation. In view of the issues that the single classifier in the landslide susceptibility evaluation using machine learning algorithms had poor precision, and the selection of negative samples of landslides was relatively arbitrary, a landslide susceptibility evaluation model was proposed, which combined the selection method of negative samples of landslides based on the information quantity method with machine learning integration algorithms. Taking the section from Lijiaxia to Gongboxia in the upper reaches of the Yellow River as the study area, 13 evaluation factors such as elevation, slope gradient and precipitation were selected as the evaluation factors for landslide occurrence. Three selection methods for negative samples of landslides, namely buffer zone, low slope gradient and information quantity were adopted. By building the landslide susceptibility evaluation models of the classification and regression tree (CART) and three integrated learning algorithms (Bagging, Boosting, and random forest), the performance of the evaluation models under different integrated learning algorithms and different selection methods for negative samples of landslides was analyzed. The results show that the integrated learning algorithm can significantly improve the performance of the single base classifier, and the improvement effect of the Boosting algorithm is the most prominent. The selection method of negative samples based on the information quantity takes most of the evaluation factors into full consideration, and the reliability of the model is higher.

  • 论文
    Yellow River. 2011, 33(5): 105-106109.
    在分析雅砻江牙根水电站坝址区工程地质条件的基础上,对右岸发育的三处拉裂松动岩体进行了深入研究.拉裂松动岩体介于变形体与强卸荷岩体之间,其卸荷程度强于一般的强卸岩体,而其变形程度则弱于一般的变形岩体,通过对拉裂松动岩体地质成因的全面分析,提出了可能的失稳模式,为大坝的设计提供了地质依据;充分利用勘探平硐的测试资料,确定了右岸拉裂松动岩体的边界条件、岩体的结构特征,判定其可能的破坏模式,为工程设计提供了可能的滑移边界.
  • Yellow River. 2025, 47(S1): 183-184.
  • Yellow River. 2025, 47(S1): 125-127.
  • Yellow River. 2025, 47(S1): 156-157.