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Experimental study on the settling of irregularly shaped sediment particles from the source region of the Yangtze River 长江源区不规则泥沙颗粒沉降试验研究
IF 3.5 2区 环境科学与生态学 Q2 ENVIRONMENTAL SCIENCES Pub Date : 2025-02-01 DOI: 10.1016/j.ijsrc.2024.11.005
Xiaoyong Cheng , Zhijing Li , Yujiao Liu , Zhongwu Jin , Yinjun Zhou , Yisen Wang , Guiqiao Wang , Junfeng Han , Zhixian Cao
Settling plays a pivotal role in sediment transport and morphological evolution of alluvial rivers. Sediment particles in the source regions of large rivers are more likely to feature irregular shapes due to less abrasion than in lower reaches of the rivers. However, the settling of irregularly shaped sediment particles from the source region of a river has to date remained poorly understood. Here, sediment particles were sampled from the Tuotuo River basin in the source region of the Yangtze River. A total of 28 experimental runs were done in a purpose-built settling cylinder to investigate the settling of the sediment particles, with particle Reynolds number, Rep, defined using terminal settling velocity, ranging from 0.22 to 5,939. The results demonstrate that large Rep and irregular particle shape favor unstable settling behavior with wobbling motion and intense velocity fluctuations. An irregular particle experiences larger drag, and, thus, attains a lower terminal velocity than an equivalent sphere, and the shape effect which reduces terminal velocity tends to become significant with increasing Rep and decreasing Corey shape factor. The measured terminal velocities are compared with five empirical formulas. It is shown that the formulas of Dietrich, Haider and Levenspiel, and Wu and Wang are favorable to use (within the range ±20% of the measured data), whereas Zhang's formula and van Rijn's formula may considerably overestimate the terminal velocity, as no shape descriptor is incorporated to account for irregular shape effects. The current study facilitates a new experimental dataset that may be utilized to further investigate sediment settling dynamics. Also, it has direct implications for enhancing the understanding of morpho-dynamics in the source region of the Yangtze River, which may experience significant changes in response to climate change and anthropogenic activities.
沉积在冲积河的输沙和形态演化中起着关键作用。大河源区泥沙颗粒由于较少的磨蚀作用,较下游泥沙颗粒更有可能呈现不规则形状。然而,迄今为止,人们对河流源区不规则形状沉积物颗粒的沉降仍然知之甚少。本文对长江源区沱沱河流域的泥沙颗粒进行了采样。在一个专门建造的沉降筒中,共进行了28次实验,以研究沉积物颗粒的沉降情况,颗粒雷诺数Rep由终端沉降速度定义,范围为0.22至5,939。结果表明,大的Rep和不规则的颗粒形状有利于不稳定沉降行为,具有摆动运动和强烈的速度波动。不规则颗粒受到较大的阻力,因而获得较低的终端速度,并且随着Rep的增大和Corey形状因子的减小,降低终端速度的形状效应趋于显著。实测的终端速度与五个经验公式进行了比较。结果表明,Dietrich、Haider和Levenspiel以及Wu和Wang的公式(在测量数据的±20%范围内)是有利的,而Zhang的公式和van Rijn的公式可能大大高估了终端速度,因为没有纳入形状描述符来考虑不规则形状效应。本研究为进一步研究泥沙沉降动力学提供了新的实验数据集。此外,这对进一步认识长江源区在气候变化和人类活动的影响下可能发生的重大变化具有直接意义。
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引用次数: 0
Chemical composition of sediment and macrozoobenthos of small urban lakes, the Republic of Karelia, Russia 俄罗斯卡累利阿共和国城市小湖泊沉积物和大型底栖动物的化学成分
IF 3.5 2区 环境科学与生态学 Q2 ENVIRONMENTAL SCIENCES Pub Date : 2025-02-01 DOI: 10.1016/j.ijsrc.2024.10.005
Evgeny Savosin , Zakhar Slukovskii
Assessing the benthic communities in water bodies under increasing anthropogenic pressure seems to be an urgent task of scientific research aimed at short-term and long-term monitoring of water bodies. This study focuses on the chemical composition of modern sediment and the current state of macrozoobenthos of small lakes in the Republic of Karelia (Kitaiskoe and Plotichie) influenced by anthropogenic factors. It was discovered that the lakes of Medvezhyegorsk have a higher concentration of heavy metals (such as lead (Pb), cadmium (Cd), molybdenum (Mo), and antimony (Sb)) compared to the Earth’s crust and natural background levels. The current study established the significant impact of industry and transportation on the movement and build up of pollutants in these lakes. The qualitative and quantitative parameters analyzed for the benthic communities in the littoral and profundal zones included the species diversity, the structure of dominant species, and their percentage in the samples. According to the level of macrozoobenthos development, both reservoirs (lakes) were classified as mesotrophic, and according to the values of the chironomid index “K” as moderately polluted. The Pantle–Buck method (saprobic index) showed that the lakes can be classified as polluted (water quality class 4). Macrozoobenthos groups most tolerant to environmental conditions, for example, Chironomidae larvae, prevailed in the studied urban lakes. The economic development of the lakes leads to ecosystem transformation and long-term eutrophication over time affecting the biotic indicators of surface water quality. The results obtained can serve as a basis for complex environmental monitoring of the urbanized territories in the taiga zone.
评估在不断增加的人为压力下的水体中的底栖生物群落似乎是旨在对水体进行短期和长期监测的科学研究的紧迫任务。本文研究了受人为因素影响的卡累利阿共和国(Kitaiskoe和Plotichie)小湖泊现代沉积物的化学成分和大型底栖动物的现状。据发现,梅德维日耶戈尔斯克湖的重金属浓度(如铅(Pb)、镉(Cd)、钼(Mo)和锑(Sb))高于地壳和自然背景水平。目前的研究确定了工业和运输对这些湖泊中污染物的移动和积累的重大影响。分析了滨深带底栖生物群落的物种多样性、优势种结构及其在样品中的比例。根据大型底栖动物的发育程度,两个水库(湖)被划分为中营养型,根据chironomid指数“K”值被划分为中度污染。Pantle-Buck法(污染指数)表明,城市湖泊可被划分为污染湖泊(水质4级)。对环境条件最适应的大型底栖动物类群以手蛾科幼虫为主。随着时间的推移,湖泊的经济发展导致了生态系统的转变和长期的富营养化,影响了地表水水质的生物指标。研究结果可为针叶林城市化地区的复杂环境监测提供依据。
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引用次数: 0
Impacts of grade control structures on riverbed degradation 等级控制结构对河床退化的影响
IF 3.5 2区 环境科学与生态学 Q2 ENVIRONMENTAL SCIENCES Pub Date : 2025-02-01 DOI: 10.1016/j.ijsrc.2024.10.004
Weiming Wu , Ruihua Nie , Kai Wei , Bruce W. Melville , Asaad Y. Shamseldin , Lu Wang
Sediment flux of many rivers has been significantly reduced due to human activities caused by economic development, leading to increasingly severe riverbed degradation. To prevent riverbed degradation, grade control structures (GCSs) have been widely applied in degrading channels. Existing studies have not provided a good understanding of the effects of GCSs on flow characteristics and bed morphology in degrading channels, limiting the management of degrading channels. A series of flume tests with no sediment supply are conducted to investigate the effects of GCSs on upstream water levels and riverbed morphology in degrading channels. The experimental results indicate that: (1) in the initial stage of degradation, the water surface slope in the backwater reach is linearly and negatively correlated with the GCS-height Froude number, based on the average flow velocity upstream of the backwater reach due to GCS and the height of GCS; (2) the effective protection bed length upstream of GCS is approximately equal to the length of the reach where the flow velocity is less than the critical velocity for sediment motion in the backwater zone; (3) for sequential GCSs, the effective protection bed length will decrease if GCS is located in the backwater reach of the downstream GCS. A semi-analytical calculation method of the effective protection length and equilibrium bed profile upstream of GCS in degrading channels is proposed based on the critical condition of sediment motion and weir flow formulas. The computed values by the proposed calculation method agree well with the experimental data of the present study.
由于经济发展引起的人类活动,许多河流的输沙通量显著减少,导致河床退化日益严重。为防止河床退化,坡度控制结构(GCSs)被广泛应用于退化河道。现有研究尚未很好地了解gcs对降解河道流动特性和河床形态的影响,限制了降解河道的管理。在无输沙条件下进行了一系列水槽试验,研究了gcs对退化河道上游水位和河床形态的影响。实验结果表明:(1)在退化初期,基于回水河段上游GCS平均流速和GCS高度,回水河段水面坡度与GCS-高度弗劳德数呈线性负相关;(2) GCS上游有效保护河床长度近似等于回水区流速小于泥沙运动临界流速的河段长度;(3)对于序贯式GCS,如果GCS位于下游GCS的回水河段,则有效保护层长度会减小。基于泥沙运动的临界条件和堰流公式,提出了一种退化河道中GCS上游有效防护长度和平衡河床剖面的半解析计算方法。所提计算方法的计算值与本研究的实验数据吻合较好。
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引用次数: 0
Framework for reservoir sedimentation estimation using the hydrological model and campaign—A case study of A Vuong reservoir in central Vietnam 基于水文模型和运动的水库沉积估算框架——以越南中部阿旺水库为例
IF 3.5 2区 环境科学与生态学 Q2 ENVIRONMENTAL SCIENCES Pub Date : 2025-02-01 DOI: 10.1016/j.ijsrc.2024.11.006
Binh Quang Nguyen , Sameh A. Kantoush , Ngoc Duong Vo , Tetsuya Sumi
Sediment estimation would help practice sustainable watershed management and efficient reservoir operation. Different methods exist to estimate reservoir sedimentation based on the differences in sediment yield flowing in and releasing from the reservoir and successive bathymetric field measurements. This paper investigates the variability in sediment yield from watersheds and sedimentation in the A Vuong reservoir in central Vietnam using the soil and water assessment tool (SWAT) compared with bathymetry mapping. Bathymetry data were collected in 2003, 2015, and 2021 and conducted in 2022. SWAT was calibrated from 1996 to 2008 and validated from 2009 to 2020 using monthly observations. SWAT performs well and can accurately simulate monthly streamflow and sediment yield. The goodness-of-fit analyses suggested that the area list representation of the watershed behavior and satisfactory Sutcliffe efficiency (NSE = 0.86) values for streamflow were obtained during the calibration and validation periods. For sediment simulation, the efficiency is lower than streamflow's, with NSE in the validation values of 0.61. The results showed that the sedimentation estimate from the SWAT model is smaller than that from bathymetry. A Vuong reservoir's annual storage capacity loss due to sedimentation accumulation from the SWAT model and bathymetry was 0.08% and 0.38%, respectively. Based on the bathymetry data, we estimated that the average rate of sedimentation deposition of A Vuong reservoir was 1.3 Mm3/y. The average calculated net deposition value was 4.3 m (0.3 m per year) within fourteen years of operation. The study outcomes demonstrated that the framework approach may transfer to an ungauged catchment and address the complex sedimentation problem in tropical regions.
泥沙估算有助于实现流域可持续管理和水库高效运行。根据水库入沙量和出沙量的差异以及连续的水深野外测量,存在不同的水库沉积估算方法。本文利用土壤和水评价工具(SWAT)与水深测绘相比较,研究了越南中部阿旺水库流域产沙和沉积的变异性。测深数据分别于2003年、2015年和2021年收集,并于2022年进行。SWAT于1996年至2008年进行了校准,并于2009年至2020年进行了月度观测验证。SWAT表现良好,可以准确地模拟月流量和产沙量。拟合优度分析表明,在校准和验证期间,流域行为的面积表表示和流量的Sutcliffe效率(NSE = 0.86)值令人满意。泥沙模拟效率低于径流模拟,NSE在0.61的验证值内。结果表明,SWAT模型估算的沉降量小于测深法估算的沉降量。根据SWAT模型和水深测量结果,Vuong水库因泥沙淤积造成的年库容损失分别为0.08%和0.38%。根据测深资料,估计A Vuong储层的平均沉积速率为1.3 Mm3/y。在14年的运行中,平均计算净沉积值为4.3 m(每年0.3 m)。研究结果表明,框架方法可以转移到未测量的集水区,并解决热带地区复杂的沉积问题。
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引用次数: 0
Interpreting machine learning models based on SHAP values in predicting suspended sediment concentration 基于SHAP值的机器学习模型在悬沙浓度预测中的解释
IF 3.5 2区 环境科学与生态学 Q2 ENVIRONMENTAL SCIENCES Pub Date : 2025-02-01 DOI: 10.1016/j.ijsrc.2024.10.002
Houda Lamane , Latifa Mouhir , Rachid Moussadek , Bouamar Baghdad , Ozgur Kisi , Ali El Bilali
Machine learning (ML) has become a powerful tool for predicting suspended sediment concentration (SSC). Nonetheless, the ability to interpret the physical process is considered the main issue in applying most of ML approaches. In this regard, the current study presents a novel framework involving four standalone ML models (extra trees (ET), random forest (RF), categorical boosting (CatBoost), and extreme gradient boosting (XGBoost)) and their combination with genetic programming (GP). Three metrics (coefficient of correlation (r), root mean square error (RMSE), and Nash–Sutcliffe model-fit efficiency (NSE)) and a more advanced interpretation system SHapley Additive exPlanations (SHAP) are used to assess the performance of these models applied to hydro-climatic datasets for prediction of SSC. The calibration process was based on data from 2016 to 2020, and the validation was done for 2021 data. Further description and application of the framework are provided based on a case study of the Bouregreg watershed. The results revealed that all implemented models are efficient in SSC prediction with NSE, RMSE, and r varying from 0.53 to 0.86, 1.20–2.55 g/L, and 0.83–0.91 g/L respectively. Box plot diagrams confirm the enhanced performance of these combined models, and the best-performing ones for the four hydrological stations being the combined RF + GP model at the Aguibat Ziar station, the combined XGBoost + GP model at the Ain Loudah station, the CatBoost model at the Ras Fathia station, and the RF model at the Sidi Med Cherif station. The interpretability results showed that flow (Q) and seasonality (S) are the features most impacting SSC. These outcomes indicate that the applied models can extract accurate and detailed information from the interactions between the hydroclimatic factors and the generation of sediment by erosion (output). ML approaches illustrated the good reliability and transparency of the models developed for predicting SSC in a semi-arid setting, offered new perspectives for reducing ML models' “black box” character, and provided a useful source of information for assessing the consequences of SSC on water quality. The SHAP system and exploring other interpretable techniques are recommended to provide further information in future research. In addition, incorporating additional input data could enhance SSC predictions and deepen understanding of sediment transport dynamics.
机器学习(ML)已经成为预测悬浮泥沙浓度(SSC)的有力工具。尽管如此,解释物理过程的能力被认为是应用大多数ML方法的主要问题。在这方面,目前的研究提出了一个新的框架,涉及四个独立的机器学习模型(额外树(ET),随机森林(RF),分类增强(CatBoost)和极端梯度增强(XGBoost))及其与遗传规划(GP)的结合。三个指标(相关系数(r)、均方根误差(RMSE)和纳什-萨特克里夫模型拟合效率(NSE))和一个更先进的解释系统SHapley加性解释(SHAP)被用来评估这些模型在水文气候数据集上用于预测SSC的性能。校准过程基于2016年至2020年的数据,并对2021年的数据进行验证。以布雷格流域为例,对该框架进行了进一步的描述和应用。结果表明,所有模型均能有效预测SSC, NSE、RMSE和r分别在0.53 ~ 0.86、1.20 ~ 2.55 g/L和0.83 ~ 0.91 g/L之间。箱形图证实了这些组合模型的增强性能,四个水文站中表现最好的是Aguibat Ziar站的RF + GP组合模型、Ain Loudah站的XGBoost + GP组合模型、Ras Fathia站的CatBoost模型和Sidi Med Cherif站的RF模型。可解释性结果表明,流量(Q)和季节性(S)是影响SSC的主要特征。这些结果表明,应用的模型可以准确、详细地提取水文气候因子与侵蚀产沙(输出)之间的相互作用信息。ML方法说明了在半干旱环境下为预测SSC而开发的模型具有良好的可靠性和透明度,为减少ML模型的“黑箱”特征提供了新的视角,并为评估SSC对水质的影响提供了有用的信息来源。建议使用SHAP系统和探索其他可解释的技术为今后的研究提供进一步的信息。此外,纳入额外的输入数据可以增强SSC预测并加深对沉积物输运动力学的理解。
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引用次数: 0
Inferring sediment deposition trend in data scared wetland impacted by degraded urban catchment 城市集水区退化影响下的数据湿地泥沙沉积趋势推断
IF 3.5 2区 环境科学与生态学 Q2 ENVIRONMENTAL SCIENCES Pub Date : 2025-02-01 DOI: 10.1016/j.ijsrc.2024.10.007
Bhaswatee Baishya, Arup Kumar Sarma
The reduction in water retention capacity due to sedimentation in wetlands poses a serious threat to the ecology of this imperative freshwater resource. This also increases the risk of flooding in the river catchment areas that feed these wetlands. Sediments are mostly produced by unplanned development and hillcutting in upstream catchments. Henceforth, it is crucial to understand the trend in sediment deposition to determine management measures. However, measuring sediment deposition in wetlands is challenging. This study investigates a novel and cost-effective approach to discover trends in sediment deposition within wetlands via geospatial techniques and compares their water extents in the Deepor Beel Wetland, a Ramsar site in Assam, India. The water spread areas were assessed via supervised classified Landsat images and the band rationing technique, i.e., the normalized difference pond index (NDPI). This study establishes that sedimentation causes the water level in wetlands to rise, resulting in an increase in the area of water spread. This often suggests that the lean period water volume is increasing, indicating better health of the stream-wetland ecosystem. However, this apparent increase in water volume is actually due to the displacement of water by the sediment that has been deposited on the bed over time. This approach has identified a reduction in the water holding capacity of the wetland to 9.19 million m3 in 18 years by utilizing geospatially derived water spread and elevation data from two years (2003 and 2021) with comparable rainfall. In the absence of recent and past years with comparable precipitation, the proposed method can still be applied by adjusting the apparent increase in volume by considering the difference in the net inflow volume between the two years of interest. The results of sediment transport toward the wetland, as computed by the Soil and Water Assessment Tool (SWAT) model while accounting for the sediment retention rate of the wetland, strongly agree with the proposed approach. The present approach can be extended to similar stream-wetland ecosystems to examine sediment dynamics and help create better management strategies for wetlands and associated catchment conservation and restoration.
湿地泥沙淤积导致保水能力下降,对这一重要淡水资源的生态构成严重威胁。这也增加了为这些湿地提供水源的河流集水区发生洪水的风险。沉积物主要是由上游集水区的无计划开发和丘陵切割产生的。因此,了解沉积物的沉积趋势对确定管理措施至关重要。然而,测量湿地的沉积物沉积是具有挑战性的。本研究通过地理空间技术探索了一种新颖且经济有效的方法来发现湿地沉积物沉积趋势,并比较了印度阿萨姆邦拉姆萨尔湿地Deepor Beel湿地的水范围。利用监督分类Landsat图像和归一化差池指数(NDPI)波段定量技术对水体扩展面积进行评估。本研究确立了泥沙淤积导致湿地水位上升,导致水体扩散面积增大。这通常表明淡水期水量在增加,表明河流湿地生态系统的健康状况较好。然而,这种明显的水量增加实际上是由于长期沉积在河床上的沉积物取代了水。该方法利用2003年和2021年具有可比降雨量的两年的地理空间水分布和海拔数据,确定了湿地的持水量在18年内减少到919万立方米。在没有最近和过去降水可比较年份的情况下,通过考虑两年之间净流入量的差异来调整表观量的增加,仍然可以应用所提出的方法。在考虑湿地泥沙截留率的情况下,由水土评估工具(SWAT)模型计算的泥沙向湿地输移的结果与所提出的方法非常一致。目前的方法可以扩展到类似的河流-湿地生态系统,以检查沉积物动态,并帮助为湿地和相关的流域保护和恢复制定更好的管理策略。
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引用次数: 0
Erosive stability channel factor for Brda River (Poland): A key assessment of the human impact of the catchment changes 布尔达河(波兰)侵蚀稳定通道因子:集水区变化对人类影响的关键评估
IF 3.5 2区 环境科学与生态学 Q2 ENVIRONMENTAL SCIENCES Pub Date : 2025-02-01 DOI: 10.1016/j.ijsrc.2024.11.002
Dawid Aleksander Szatten , Oleksandr Obodovskyi , Marta Brzezińska
The stability of river channels results from the impact of spatially diversified natural characteristics of the catchment, which are additionally intensified by the pressure of human activities. The aim of the current study was the overall assessment of the riverbed stability in the Brda River catchment (Poland) in the two periods 1980–1989 and 1991–2018. The study area is characterized by a high discharge regularity, resulting from the river-lake system in the upper part of the catchment, and strong human pressure caused by the presence of hydrotechnical structures in the middle and lower parts of the catchment. The hydrological, sedimentological, and land cover archival data were used in the current study. Also, in the field campaign, the characteristics of the river channel were delimited. Finally, the erosive stability channel factor is proposed, reflecting the level of pressure on the fluvial system from the catchment. The results show that in the first period, there was a tendency to accumulate sediment on the riverbed, resulting in its instability. However, in the second period, the river channel was stable, and erosion and sedimentation processes did not occur. The links between the stability of the bed of the Brda River, and the temporal and area-related pressures made it possible to identify long-term trends in the degradation of the fluvial environment as a result of human activities and to indicate the directions for sustainable sediment management in the catchment.
河道的稳定性是受流域空间多样性自然特征影响的结果,而人类活动的压力又加剧了这种影响。本研究的目的是全面评估1980-1989年和1991-2018年两个时期布尔达河流域(波兰)的河床稳定性。研究区由于流域上部的河湖水系,以及中下游水工结构的存在造成的较大的人为压力,具有较高的流量规律性。本研究利用了水文、沉积和土地覆盖档案资料。同时,在野外运动中,对河道特征进行了划定。最后,提出了反映流域对河流系统压力水平的侵蚀稳定河道因子。结果表明:第一阶段河床有泥沙淤积的趋势,导致河床失稳;而在第二期,河道稳定,没有发生侵蚀和沉积作用。由于布尔达河河床的稳定性与时间和与地区有关的压力之间的联系,有可能确定由于人类活动而导致河流环境退化的长期趋势,并指出集水区可持续沉积物管理的方向。
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引用次数: 0
TOC TOC
IF 3.5 2区 环境科学与生态学 Q2 ENVIRONMENTAL SCIENCES Pub Date : 2025-02-01 DOI: 10.1016/S1001-6279(24)00135-5
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引用次数: 0
Experimental investigation into flow resistance of large benthic crab burrows in the Yellow River Delta, China 黄河三角洲大型底栖蟹洞水流阻力的实验研究
IF 3.5 2区 环境科学与生态学 Q2 ENVIRONMENTAL SCIENCES Pub Date : 2025-02-01 DOI: 10.1016/j.ijsrc.2024.11.003
Wenbo Zhu , Yan Lu , Chengyang Zhou , Yongjun Lu , Pan Wu , Liqin Zuo , Tingjie Huang , Huaiqian Xiao
The current study investigates the impact of burrowing activities by crab species in the tidal flats of the Yellow River Delta in China on the hydraulic resistance characteristics of water flow, particularly the regulatory effect of biological activity on hydraulic parameters. Although there are many models that attempt to describe the resistance to water flow, these models tend to ignore the influence of such things as biological structures, geomorphological features, and artificial constructs in complex natural water bodies, resulting in insufficient predictive accuracy of the resistance coefficients and Manning's roughness coefficients. In this paper, a new theoretical model is developed to achieve the construction of a model for predicting the hydrodynamic resistance characteristics of crab-hole regions affected by water flow by introducing a cross-sectional area correction coefficient to improve the accuracy of the calculation. The experimental results show that there is a significant positive correlation between the drag coefficient, and the hydraulic radius, and cave density, and a negative correlation with the Reynolds number, and the modification for the sidewall and bed effect greatly improves the representativeness of the measured data. In addition, a new theoretical model is proposed to improve the prediction of drag and Manning's roughness coefficient, and the prediction results are in good agreement with the measured data. The improved drag coefficient calculation model proposed in this paper improves the applicability to the research object and helps to establish a more accurate hydrodynamic model.
本研究旨在探讨黄河三角洲潮滩蟹类的挖洞活动对水流水力阻力特性的影响,特别是生物活动对水力参数的调节作用。尽管有许多模型试图描述水流阻力,但这些模型往往忽略了复杂自然水体中生物结构、地貌特征和人工构造等因素的影响,导致阻力系数和曼宁粗糙度系数的预测精度不足。本文建立了一种新的理论模型,通过引入截面积修正系数来提高计算精度,实现了预测受水流影响的蟹孔区水动力阻力特性模型的构建。实验结果表明,阻力系数与水力半径、洞室密度呈显著正相关,与雷诺数呈显著负相关,对侧壁和床层效应的修正大大提高了实测数据的代表性。此外,提出了一种新的理论模型来改进阻力和曼宁粗糙度系数的预测,预测结果与实测数据吻合较好。本文提出的改进阻力系数计算模型提高了对研究对象的适用性,有助于建立更精确的水动力模型。
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引用次数: 0
Flow patterns in shallow rectangular reservoirs with open channel inlet or pipe flow inlet at various depths: An experimental study 不同深度开槽或管流入口浅矩形水库的流动模式:实验研究
IF 3.5 2区 环境科学与生态学 Q2 ENVIRONMENTAL SCIENCES Pub Date : 2025-01-22 DOI: 10.1016/j.ijsrc.2025.01.004
El Mehdi Chagdali , Kamal El Kadi Abderrezzak , Sébastien Erpicum , Cédric Goeury , Matthieu Secher , Benjamin Dewals
This study experimentally assesses the influence of varying the inlet boundary condition on the flow patterns in rectangular shallow reservoirs. Two types of inlet boundary conditions were compared: a free surface inlet channel, and a pressurized circular inlet jet positioned at three different elevations over the flow depth (centroid of the inlet jet situated at 25%, 50%, or 75% of the flow depth). The outlet boundary condition was a free surface channel in all cases. Twenty-two experiments were done with two distinct reservoir lengths (length-to-width ratios of 1.1 and 2.0) and three hydraulic boundary conditions (Froude numbers of 0.14, 0.16, and 0.21). Velocity fields were measured with Large-Scale Particle Image Velocimetry (LSPIV) at the surface, and with an Acoustic Doppler Velocity Profiler (ADVP) at several cross sections. The flow patterns are greatly influenced by the inlet boundary condition and the reservoir geometry, but to a lesser extent by the hydraulic boundary condition. For an inlet circular jet located near the reservoir bottom, an unstable flow type, changing over time in a chaotic manner, was observed regardless of the reservoir length and of the inlet flow rate. The same type of unstable flow pattern was observed for a relatively long reservoir and the lowest tested flow rate, irrespective of the vertical positioning of the inlet jet. In all other tested configurations, a steady reattached jet was found in the reservoir equipped with a pressurized inlet jet. In addition to providing new knowledge on flow patterns in shallow reservoirs with an inlet jet, the experimental data presented here will prove valuable for evaluating flow computational models.
实验研究了不同入口边界条件对矩形浅储层流型的影响。比较了两种类型的进口边界条件:自由表面进口通道和位于流动深度上三个不同高度的加压圆形进口射流(进口射流的质心位于流动深度的25%、50%或75%)。在所有情况下,出口边界条件均为自由面通道。采用两种不同的储层长度(长宽比分别为1.1和2.0)和三种水力边界条件(弗劳德数分别为0.14、0.16和0.21)进行了22次实验。在地表用大尺度粒子图像测速仪(LSPIV)测量速度场,在若干断面用多普勒测速仪(ADVP)测量速度场。进口边界条件和水库几何形状对流型的影响较大,水力边界条件对流型的影响较小。对于靠近储层底部的入口圆形射流,无论储层长度和入口流量如何,都观察到一种随时间混沌变化的不稳定流型。在相对较长的储层和最低测试流量中,无论进口射流的垂直位置如何,都观察到相同类型的不稳定流型。在所有其他测试配置中,在配备加压进口射流的储层中发现了稳定的再附着射流。除了提供关于浅层储层射流流态的新知识外,本文提供的实验数据将证明对流动计算模型的评估是有价值的。
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International Journal of Sediment Research
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