International Journal of Sediment Research最新文献

{"title":"Robust low-rank learning multi-output regression for incipient sediment motion in sewer pipes","authors":"Mir Jafar Sadegh Safari ,&nbsp;Shervin Rahimzadeh Arashloo","doi":"10.1016/j.ijsrc.2023.08.004","DOIUrl":"https://doi.org/10.1016/j.ijsrc.2023.08.004","url":null,"abstract":"<div><p>The existing incipient sediment motion models typically apply conventional regression methods considering either velocity or shear stress. In the current study, incipient sediment motion is analyzed through a simultaneous and joint analysis of velocity and shear stress using the robust low-rank learning (RLRL) multi-output regression technique. Moreover, the experimental data compiled from five different channels are utilized to develop a generic incipient sediment motion model valid for a channel of any cross-sectional shape. The efficiency of the developed method is examined and compared against the available conventional regression models. The experimental results indicate that the RLRL model yields better results than its counterparts. In particular, while cross-section specific models fail to provide accurate estimates for shear stress or velocity for other cross sections, the proposed model provides satisfactory results for all channel shapes. The better performance of the recommended approach can be attributed to the joint modeling of the shear stress and the velocity which is realized by capturing the correlation between these parameters in terms of a low rank output mixing matrix which enhances the prediction performance of the approach.</p></div>","PeriodicalId":50290,"journal":{"name":"International Journal of Sediment Research","volume":null,"pages":null},"PeriodicalIF":3.6,"publicationDate":"2023-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71782594","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Local scour around submerged angled spur dikes under ice cover","authors":"Guowei Li,&nbsp;Jueyi Sui,&nbsp;Sanaz Sediqi,&nbsp;Mauricio Dziedzic","doi":"10.1016/j.ijsrc.2023.08.003","DOIUrl":"10.1016/j.ijsrc.2023.08.003","url":null,"abstract":"<div><p><span><span>Local scour is a phenomenon leading to the localized lowering of the channel bed due to the imbalance of sediment transport. As spur </span>dikes protrude into the natural channels, local scour could be triggered. Accurate estimation of local scour around spur dikes is crucial for the effectiveness of </span>erosion control<span><span> and prevention and habitat enhancement measures. In the current study, the correlations between the maximum scour depth and the overtopping ratio, spur dike dimensions, ice cover roughness, and grain size of the bed material are investigated. Under both open channel and ice-covered flow conditions, a variety of experiments were done in a large-scale outdoor flume with different experimental setups. The results revealed that the scour depths around submerged spur dikes increased with increases in the densimetric Froude number and the decreases in the overtopping ratio and alignment angle. The maximum scour depth around a submerged angled vertical wall spur dike is significantly affected by the presence of an ice cover on the water surface, namely, the rougher the cover, the deeper the scour hole. Based on data collected from the laboratory experiments, an existing maximum scour depth estimation equation has been modified to consider the influence of the cover condition and the </span>submergence level. The calculated results showed high accuracy in estimation of the measured data.</span></p></div>","PeriodicalId":50290,"journal":{"name":"International Journal of Sediment Research","volume":null,"pages":null},"PeriodicalIF":3.6,"publicationDate":"2023-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42761052","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A two-dimensional double layer-averaged model of hyperconcentrated turbidity currents with non-Newtonian rheology","authors":"Yining Sun ,&nbsp;Ji Li ,&nbsp;Zhixian Cao ,&nbsp;Alistair George Liam Borthwick","doi":"10.1016/j.ijsrc.2023.08.002","DOIUrl":"10.1016/j.ijsrc.2023.08.002","url":null,"abstract":"<div><p>Hyperconcentrated turbidity currents<span> typically display non-Newtonian characteristics that influence sediment transport<span> and morphological evolution in alluvial rivers. However, hydro-sediment-morphological processes involving hyperconcentrated turbidity currents are poorly understood, with little known about the effect of the non-Newtonian rheology. The current paper extends a recent two-dimensional double layer-averaged model to incorporate non-Newtonian constitutive relations. The extended model is benchmarked against experimental and numerical data for cases including subaerial mud flow, subaqueous debris flow, and reservoir turbidity currents. The computational results agree well with observations for the subaerial mud flow and independent numerical simulations of subaqueous debris flow. Differences between the non-Newtonian and Newtonian model results become more pronounced in terms of propagation distance and sediment transport rate as sediment concentration increases. The model is then applied to turbidity currents in the Guxian Reservoir planned for middle Yellow River, China, which connects to a tributary featuring hyperconcentrated sediment-laden flow. The non-Newtonian model predicts slower propagation of turbidity currents and more significant bed aggradation at the confluence between the tributary Wuding River and the Yellow River in the reservoir than its Newtonian counterpart. This difference in model performance could be of considerable importance when optimizing reservoir operation schemes.</span></span></p></div>","PeriodicalId":50290,"journal":{"name":"International Journal of Sediment Research","volume":null,"pages":null},"PeriodicalIF":3.6,"publicationDate":"2023-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45340544","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Experimental study on the effect of hydrodynamic conditions on flocculation and settling properties of fine-grain sediment","authors":"Bismark Odum ,&nbsp;Chunyang Xu ,&nbsp;Yongping Chen ,&nbsp;Yinpeng Yao ,&nbsp;Yan Zhou","doi":"10.1016/j.ijsrc.2023.08.001","DOIUrl":"10.1016/j.ijsrc.2023.08.001","url":null,"abstract":"<div><p><span>The flocculation<span><span><span> of cohesive sediment particles is a function of the collision efficiency of sediment particles, which is mainly influenced by local flow hydrodynamics. A detailed study on local hydrodynamic characteristics in a novel stirred tank was done to measure the flow field of a turbulent flow. Instantaneous flow </span>velocity fields were obtained and processed, and the average flow field was computed. </span>Particle image velocimetry (PIV) results measuring the hydrodynamic characteristics (expressed as turbulent kinetic energy (TKE), local dissipation rate of TKE, velocity gradient or shear rate, turbulent shear stress, etc.) were analyzed and discussed. Particle tracking and automated image processing techniques were utilized to analyze the impact of the hydrodynamic conditions on the floc and settling properties. The differences in floc properties under the two turbulent shear states (i.e., steady-state (SS) and unsteady-state (US)) hydrodynamic conditions were examined. The results show that floc size and floc size distribution (FSD) of pure kaolin clay flocs are significantly influenced by the local dissipation rate of TKE and the turbulent intensity states. The floc size, </span></span><em>d</em>_{f, 84}, at local dissipation rate of TKE of 11 × 10⁻⁴, 29 × 10⁻⁴, 44 × 10⁻⁴, 83 × 10⁻⁴, and 142 × 10⁻⁴ m²/s³<span> is 97, 108, 107, 124, and 150 μm, respectively. It was found that by increasing the local dissipation rate of TKE, the FSD was skewed left. The US shear condition generated larger flocs (and in higher proportions) relative to the SS condition. The settling velocity and flux settling velocities of flocs formed under SS conditions are higher than those formed under US conditions. The fractal dimension of SS flocs also is higher than the fractal dimension of US flocs. These results highlight a significant impact of the states of hydrodynamics on floc properties such as floc size and FSD as well as the settling and morphological properties of flocs.</span></p></div>","PeriodicalId":50290,"journal":{"name":"International Journal of Sediment Research","volume":null,"pages":null},"PeriodicalIF":3.6,"publicationDate":"2023-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47988417","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Base flow separation for soil erosion simulation in a granitic forested headwater catchment using a process-based model, GeoWEPP","authors":"Takuhei Yamasaki,&nbsp;Shoichiro Hamamoto,&nbsp;Taku Nishimura","doi":"10.1016/j.ijsrc.2023.04.003","DOIUrl":"10.1016/j.ijsrc.2023.04.003","url":null,"abstract":"<div><p><span>Distributed erosion models, which simulate the physical processes of water flow and soil erosion<span>, are effective for predicting soil erosion in forested catchments<span>. Although subsurface flow through multiple pathways is dominant for runoff generation in forested </span></span></span>headwater<span><span><span> catchments, the process-based erosion model, Geo-spatial interface for Water Erosion Prediction Project (GeoWEPP), does not have an adequate subsurface component for the simulation of hillslope water flow. In the current study, the quick flow related to soil erosion during rainfall events is separated from the total </span>hydrograph<span> using base flow separation<span> for GeoWEPP to use direct runoff to predict sediment discharge from a granitic-forested catchment in Japan. Water runoff and sediment discharge also are simulated using the conventional method that reproduces the total hydrograph, and the accuracy of the calculation and estimated </span></span></span>erodibility<span> parameters are evaluated. The proposed procedure reproduced the quick-flow runoff during rainfall and the cumulative sediment discharge from the catchment. Simultaneously, the proposed procedure overestimates water runoff during extreme weather events, such as typhoons. The estimated erodibility parameters for the hillslope soil were comparable to those of the surface soil in Japan using both the proposed procedure and the conventional one. Conversely, the channel erodibility obtained from the proposed procedure matched the observed sediment characteristics in the granitic forested catchment. The proposed procedure is a promising method to predict sediment discharge from forested catchments based on the geological features of the catchment.</span></span></p></div>","PeriodicalId":50290,"journal":{"name":"International Journal of Sediment Research","volume":null,"pages":null},"PeriodicalIF":3.6,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49501570","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Natural sediment at a dam and its inorganic materials as adsorbents of praseodymium (Pr(III))","authors":"Melania Jiménez-Reyes ,&nbsp;Jaime Jiménez-Becerril ,&nbsp;Marcos Solache-Ríos ,&nbsp;Perla Tatiana Almazán-Sánchez","doi":"10.1016/j.ijsrc.2023.02.005","DOIUrl":"10.1016/j.ijsrc.2023.02.005","url":null,"abstract":"<div><p><span><span>The sediment deposited behind a dam (DS) and its inorganic materials (IM-DS) were characterized and used for the removal of praseodymium (Pr) from aqueous solutions. Quartz, albite, and </span>kaolinite were found in the sediment by X-ray diffraction. Kinetic data fit well to a pseudo second-order model, the equilibrium time for DS and IM-DS was 2 h and 3 min, respectively, and the adsorption capacity was higher for Pr/DS (</span><em>q</em>_e = 4.91 mg/g) than for Pr/IM-DS (<em>q</em>_e = 3.01 mg/g) in these conditions. Pr/DS and Pr/IM-DS data isotherms were in agreement with the Langmuir–Freundlich model and the maximum adsorption capacities were 4.95 and 4.01 mg/g, respectively. Both processes are exothermic (enthalpy change, Δ<em>H</em>⁰ = −22.8 and −21.8 kJ/mol for DS and IM-DS, respectively), the increase of the randomness is small, and the feasibility and spontaneity are low. Praseodymium was desorbed by ethylenediaminetetraacetic acid disodium (EDTA-Na₂<span>), sodium chloride, nitric, citric, and humic acids solutions, and one hundred percent of praseodymium was desorbed by the EDTA-Na</span>₂ solution. The Pr₂(EDTA)₃ (praseodymium ethylenediaminetetraacetate) complex was completely desorbed from both materials (DS and IM-DS). Distribution coefficients (<em>K</em>_D) depend upon praseodymium concentration, temperature, pH, and the kind of adsorbent. Chemical reactions of praseodymium with kaolinite and iron minerals could explain the adsorption.</p></div>","PeriodicalId":50290,"journal":{"name":"International Journal of Sediment Research","volume":null,"pages":null},"PeriodicalIF":3.6,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48667243","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Index model equation analysis: A case study of the risk and source of inorganic contaminants in roadside uncontaminated soil of the Egi oil producing area, Niger Delta","authors":"Elechi Owhoeke ,&nbsp;Asmat Ali ,&nbsp;Okorondu Justin Nnaemeka ,&nbsp;Kingsley John Orie ,&nbsp;Julius Nkeonyeasua Ehiwario ,&nbsp;Abdur Rashid","doi":"10.1016/j.ijsrc.2023.07.004","DOIUrl":"10.1016/j.ijsrc.2023.07.004","url":null,"abstract":"<div><p><span>This study examined the sources, health risk and pollution status of selected inorganic contaminants such as iron (Fe), nickel (Ni), cadmium (Cd), cobalt (Co), arsenic (As), manganese (Mn), lead (Pb), copper (Cu), zinc (Zn), and chromium (Cr) in representative roadside uncontaminated soil (</span><em>n</em><span> = 72) from the Egi crude oil mining areas (Oboburu, Obagi, and Ogbogu), Niger Delta, Nigeria, using a combination of multiple models (Principle component analysis (PCA), correlation analysis, geo-accumulation index (Igeo), contamination factor (CF), enrichment factor (EF), pollution load index (PLI), cancer risk (CR), hazard quotient (HQ), and metal daily intake (MDIm)). A random sampling method was applied in the sampling and analysis using inductively coupled plasma mass spectroscopy<span>. The result revealed that the mean (mg/kg) for Oboburu, was the highest for Fe (89.95 ± 28.83) and Mn (26.12 ± 7.642), whereas Obagi, had less Fe (28.90 ± 7.601) and Mn (16.80 ± 5.021), and Ogbogu, Fe (44.67 ± 28.15) and Pb (19.38 ± 8.731) was the second highest heavy metal. The order of contamination was F &gt; Mn &gt; Zn &gt; Pb &gt; Cu &gt; Cr &gt; Ni &gt; Cd &gt; Co. The Igeo and CF had cadmium as a metal of concern. The contamination level was low from the PLI estimation. The EF revealed anthropogenic sources for all the metals except for Ni, which was biogenic. The correlations at </span></span><em>p</em> &lt; 0.05 and <em>p</em> &lt; 0.01 showed much positive significance amongst the metals. Variations of the cumulative percentages, loading percentages, and eigenvalues from the regression plot gave a coefficients of determination (<em>r</em>²<span>) of 0.9936, 0.9995, and 0.9994, respectively. The PCA indicated that Cd and Ni were of anthropogenic origin; Mn, Fe, and Co were biogenic or natural, and Zn and Pb were of mixed origins. The CR assessment indicated a possible cancer risk due to Cr, Cd, and Ni, and the rest of elements have no carcinogenic risk. These findings suggest there should be regular monitoring, source control, and integrated environmental management of the study area.</span></p></div>","PeriodicalId":50290,"journal":{"name":"International Journal of Sediment Research","volume":null,"pages":null},"PeriodicalIF":3.6,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42297927","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Geographic distribution of arsenic contamination in the Himalayan Rivers flowing through Pakistan: Implications for its natural source and effects of anthropogenic activities","authors":"Ishtiaque Hussain ,&nbsp;Hafiz Ur. Rehman ,&nbsp;Takaaki Itai ,&nbsp;Junaid Ali Khattak ,&nbsp;Abida Farooqi","doi":"10.1016/j.ijsrc.2023.04.001","DOIUrl":"https://doi.org/10.1016/j.ijsrc.2023.04.001","url":null,"abstract":"<div><p><span>Arsenic (As) in natural hydrological systems is known as a worldwide major environmental concern. A geochemical and sedimentological study was done to ascertain the origin and geographical distribution of As in surface water and fluvial sediment collected from the floodplains/basins of the River Indus and its four major tributaries that drain through the northern Pakistan. The hydrogeochemical compositions of all five rivers were similar with calcium (Ca</span>²⁺<span>) and bicarbonate (HCO</span>₃⁻) being the dominating ions. The concentration of As ranged from 0.62–24.05 μg/L (average 3.7 ± 3.5 μg/L, <em>n</em><span><span> = 61) in river water, 2.3–23.4 mg/kg (average 5.7 ± 3.9 mg/kg) in suspended sediment<span>, and 2.0–13 mg/kg (average 4.13 ± 2.3 mg/kg) in fluvial sediment. Various approaches were used, including mineralogical, sequential extraction, geochemical, and statistical analyses to investigate the distribution, behavior, and potential sources of As in the sediment. The effect of geological factors on the distribution of As was also studied. No noticeable changes in the relative abundance of minerals were observed in the sediment at different locations along the river. Both mineralogical and statistical analyses showed that silicate minerals<span> like muscovite, </span></span></span>biotite<span>, and chloride are the main As reservoir while oxides minerals like hematite and magnetite, which are minor components in the sediment are second largest As carrier. A geochemical baseline, using the normalization and cumulative frequency distribution curves was constructed for As. The estimated mean human contribution of As was 3.4% in the Indus River, 1.9% in the Jhelum River, 13.7% in the Chenab River, 17.5% in the Ravi River and 5.4% in the Sutlej River, indicating relatively higher effects of anthropogenic activity along the Chenab River and Ravi River. The almost negligible effects of anthropogenic activities were additionally confirmed through the pollution assessment parameters estimated from the geo-enrichment, contamination factors, and accumulation index analyses. The current data suggest that As transported by the Indus River and its major tributaries is accumulated in the sediment and is potentially incorporated in the sedimentary aquifers situated along the Indus Basin and surrounding areas. Based on the current study, it is concluded that the source of As is dominantly geogenic whereas the role of anthropogenic activities is considered negligible except along the Ravi River which showed relatively a higher percentage (17.5%) of human or industrial contribution.</span></span></p></div>","PeriodicalId":50290,"journal":{"name":"International Journal of Sediment Research","volume":null,"pages":null},"PeriodicalIF":3.6,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49903345","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Impact of the Yellow River capture on the paleoenvironmental changes of Hongze Lake, China","authors":"Hongwu Tang ,&nbsp;Ming Gao ,&nbsp;Saiyu Yuan ,&nbsp;Huiming Zhang ,&nbsp;Yang Xiao ,&nbsp;Fuxin Zhang ,&nbsp;Kun Zhang","doi":"10.1016/j.ijsrc.2023.02.002","DOIUrl":"10.1016/j.ijsrc.2023.02.002","url":null,"abstract":"<div><p><span>The Yellow River (YR) capture of the Huai River had a profound effect on the landscape evolution<span>, ecology, and social development in China, disrupting the evolution of some vital shallow floodplain lakes. Because of the absence of lacustrine sediment provenance analysis, previous studies were inadequate in distinguishing the influence of YR capture on paleoenvironmental changes in these lakes, especially on landscape evolution, </span></span>redox conditions<span><span><span>, lake level changes, and organic productivity. The current study aims to use X-ray fluorescence-core scanning (XRF-CS) and multivariate statistics on a 9.8 m sediment core from Hongze Lake (HZL), China, to analyze the impact of the YR capture on the lake's paleoenvironmental changes and the sediment provenance simultaneously. High-resolution images, </span>magnetic susceptibility, and XRF-based multi-element data were obtained using a GEOTEK Multi-Sensor Core Logger. The calcium (Ca) content indicates the presence of </span>YR sediment in HZL, given the high Ca content in YR sediment and the identification of mainly exogenous sources of Ca in HZL. The high values of Ca indicate that 48.7% of the sediment in the center of HZL is related to the YR's incursion. Periods of higher Ca content coincide with periods of higher oxygenation levels of the lake (as indicated by the ratio of manganese to titanium) and lower organic content in the lake sediment (as indicated by the ratio of incoherent to coherent scatter). These analyses reveal that the YR's capture of HZL significantly increased the lake's oxygen level. Furthermore, the decrease in the organic content of sediment tends to be the result of the accelerated deposition caused by the YR. The decrease in Ca content coincides with an increase in lake levels (as indicated by magnetic susceptibility). Thus, it can be inferred that the embankment on the eastern side of HZL, built to increase lake storage, has reduced the incursion frequency of the YR.</span></p></div>","PeriodicalId":50290,"journal":{"name":"International Journal of Sediment Research","volume":null,"pages":null},"PeriodicalIF":3.6,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49503908","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Exploring the potential of artificial intelligence techniques in prediction of the removal efficiency of vortex tube silt ejector","authors":"Sanjeev Kumar ,&nbsp;Chandra Shekhar Prasad Ojha ,&nbsp;Nand Kumar Tiwari ,&nbsp;Subodh Ranjan","doi":"10.1016/j.ijsrc.2023.03.001","DOIUrl":"10.1016/j.ijsrc.2023.03.001","url":null,"abstract":"<div><p>A vortex tube silt ejector<span><span> is a curative hydraulic structure used to remove sediment deposits from canals and is recognized as one of the most efficient substitutes for physically removing canal sediment. The spatially varied flow in the channel and the rotational flow behavior in the tube make the silt removal process complex. It is even harder to accurately predict the silt removal efficiency by traditional models accurately. However, artificial intelligence (AI) and machine learning approaches have emerged as robust substitutes for studying complex processes. Therefore, this research makes use of AI approaches; </span>support vector machine (SVM), random forest (RF), random tree (RT), and multivariate adaptive regression spline (MARS) to compute the vortex tube silt ejection efficiency using the laboratory data sets. The outcomes of the artificial intelligence (AI)-based techniques also were compared with traditional models. It was found that the RT model (root mean square error, RMSE = 2.165, Nash Sutcliffe efficiency, NSE = 0.98) outperforms the other applied approaches which had relatively more significant result errors. The sensitivity analysis of the process depicts the extraction ratio as the key parameter in the computation of vortex tube silt ejector removal efficiency. The findings of the AI-based approaches discussed in the current study might be helpful for hydraulic engineers as well as researchers in the assessment of the removal efficiency of vortex tube silt ejectors.</span></p></div>","PeriodicalId":50290,"journal":{"name":"International Journal of Sediment Research","volume":null,"pages":null},"PeriodicalIF":3.6,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48346928","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}