International Journal of Sediment Research最新文献

{"title":"Evaluating critical hydrodynamic characteristics of rill formation on saturated soil slopes","authors":"Dandan Li ,&nbsp;Xiaoyan Chen ,&nbsp;Pingzong Zhu ,&nbsp;Wenhao Tan ,&nbsp;Tingting Tao ,&nbsp;Liwen Ma ,&nbsp;Lingyong Kong","doi":"10.1016/j.ijsrc.2025.05.006","DOIUrl":"10.1016/j.ijsrc.2025.05.006","url":null,"abstract":"<div><div>As a specific near surface hydrological condition, soil saturation can significantly affect the critical hydrodynamic characteristic and soil erosion rate of rill formation, leading to severe rill erosion. Nevertheless, few studies have investigated the characteristics of critical hydrodynamic parameters and their relationships with rill erosion rate under critical hydrodynamic conditions of rill formation on saturated soil slopes. Consequently, the quantification of critical hydrodynamic parameters and their effects on rill erosion rate under critical hydrodynamic conditions of rill formation on saturated soil slopes is of great significance for understanding the dynamic mechanism of rill formation and evolution and for predicting and controlling soil loss. In this study, indoor simulated rainfall experiments were performed and a new analytical model (<em>V</em>_c(NAM)) was applied to calculate the aforementioned critical parameters under a wide range of hydraulic conditions comprising five slope gradients (<em>S</em>_G) (2°, 5°, 10°, 15°, and 20°) and three rainfall intensities (<em>R</em>_I) (30, 60, and 90 mm/h). The results indicated that the new analytical model (<em>V</em>_c(NAM)) was suitable for estimating critical hydrodynamic parameters on saturated soil slopes. The critical flow velocity (<em>V</em>_c), the critical shear stress (<em>τ</em>_c), and the critical stream power (<em>ω</em>_c) apparently increased, whereas the critical rill length (<em>L</em>_c) decreased with the increase of slope gradients and rainfall intensities. Moreover, the erosion rate at the critical condition increased with decreasing <em>L</em>_c and increasing <em>V</em>_c, <em>τ</em>_c, and <em>ω</em>_c. Pearson correlation analysis indicated that <em>τ</em>_c and <em>ω</em>_c were significantly positively correlated, whereas <em>L</em>_c was negatively correlated with erosion rate under the critical conditions. Stepwise regression analysis revealed that the erosion rate under critical hydrodynamic conditions of rill formation could be well predicted by <em>τ</em>_c (<em>R</em>² = 0.83) with the linear model. The results provide an accurate model for evaluating critical conditions of rill formation and a basis for further understanding the intrinsic dynamic mechanism of rill formation on saturated soil slopes.</div></div>","PeriodicalId":50290,"journal":{"name":"International Journal of Sediment Research","volume":"40 4","pages":"Pages 666-674"},"PeriodicalIF":3.5,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144549626","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":"Performance of microbially induced calcite precipitation (MICP) as a local scour countermeasure for offshore wind turbine monopile foundation","authors":"Zihao Tang ,&nbsp;Bruce W. Melville ,&nbsp;Naresh Singhal ,&nbsp;Asaad Y. Shamseldin ,&nbsp;Liang Cheng ,&nbsp;Dawei Guan","doi":"10.1016/j.ijsrc.2025.05.003","DOIUrl":"10.1016/j.ijsrc.2025.05.003","url":null,"abstract":"<div><div>Microbially induced calcite precipitation (MICP) is an emerging method for mitigating scour and erosion. The present study experimentally investigates the efficacy of MICP as a local scour countermeasure for offshore wind turbine monopile foundations under both clear water and live-bed conditions. Bacteria were enriched using activated sludge. Analyses conducted included urease activity monitoring, unconfined compression testing, and examination using scanning electron microscopy. Various depths for the MICP protection elevation were tested in clear water conditions, and the resulting scour topography was mapped using photogrammetry techniques. Investigations were conducted on bedform migration and leading-edge scour upstream of the MICP protection, considering various protection elevations. The results indicated that MICP protection can provide effective scour protection under both clear water and live-bed conditions. Discussions in this study also extend to the erosion and potential collapse of the MICP protection structure. Flow undercut rate were also examined for evaluating potential failure of MICP protection structures, and the elevation of MICP protection has a significant influence on mitigating flow undercutting. Full protection efficiency was observed under clear water conditions when the MICP protection elevation was at the bed level and the flow intensity was relatively low (<em>V/V</em>_c = 0.65), while the highest average protection efficiency (47.73%) among all flow intensities was recorded when the MICP protection elevation was at 0.6<em>D</em> below the bed.</div></div>","PeriodicalId":50290,"journal":{"name":"International Journal of Sediment Research","volume":"40 4","pages":"Pages 627-650"},"PeriodicalIF":3.5,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144549624","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":"Prediction of suspended sediment concentration in fluvial flows using novel hybrid deep learning model","authors":"Sadra Shadkani ,&nbsp;Yousef Hemmatzadeh ,&nbsp;Amirreza Pak ,&nbsp;Soroush Abolfathi","doi":"10.1016/j.ijsrc.2025.02.004","DOIUrl":"10.1016/j.ijsrc.2025.02.004","url":null,"abstract":"<div><div>Accurately predicting suspended sediment concentration (SSC) in fluvial systems is essential for environmental monitoring, flood management, and riverine engineering applications. This study introduces a novel hybrid approach for forecasting SSC by leveraging advanced deep learning algorithms. Daily datasets from the U.S. Geological Survey, including discharge (Q) and SSC measurements, were analyzed from 2007 to 2017 at two key locations on the Mississippi River: Chester (CH) and Thebes (TH). The proposed framework integrates feedforward neural networks (FFNN), long short-term memory (LSTM) networks, stochastic gradient descent (SGD), and radial basis function (RBF) models, augmented with a first-order differencing technique. Additionally, hybrid models, including Supervised FFNN-LSTM and Supervised FFNN-SGD, were developed to enhance predictive performance. The dataset was partitioned into training (70%, 2,747 d) and testing (30%, 1,178 d) subsets, with daily temporal resolution. Six input scenarios incorporating lagged parameters were evaluated using performance metrics, including the correlation coefficient (CC), Nash–Sutcliffe efficiency (NSE), scatter index (SI), and Willmott’s index (WI). Sensitivity analysis identified SSC_t-1 (i.e., one day before) as the most influential predictor for short-term forecasting. Among the models, the SFFNN-LSTM-6 achieved the highest performance, with CC values of 0.976 for CH and 0.960 for TH, demonstrating the ability to predict SSC effectively even in the absence of current-day discharge data. The proposed hybrid models exhibited exceptional robustness across diverse flow regimes, including extreme environmental conditions, establishing a reliable tool for SSC forecasting in complex fluvial systems.</div></div>","PeriodicalId":50290,"journal":{"name":"International Journal of Sediment Research","volume":"40 4","pages":"Pages 573-587"},"PeriodicalIF":3.5,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144549467","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":"Effects of land management practices on runoff and soil and nutrient losses in the rainfed agroecosystem of the Beles River Basin, Ethiopia","authors":"Yenesew Assaye ,&nbsp;Gizaw Desta ,&nbsp;Eyayu Molla ,&nbsp;Zenebe Adimassu","doi":"10.1016/j.ijsrc.2025.03.002","DOIUrl":"10.1016/j.ijsrc.2025.03.002","url":null,"abstract":"<div><div>The Beles River Basin is facing severe soil erosion driven by human-induced activities, leading to significant losses of soil organic carbon (SOC) and nutrients (nitrogen (N) and phosphorus (P)). Effective land management practices (LMPs), including mechanical, biological, and agronomic techniques, are potential strategies for mitigating this degradation, but their effectiveness depends on site-specific and agroecological conditions. However, limited information is available on this aspect of the study area. The objective of the current study was to evaluate the effects of LMPs in the warm subhumid lowlands of the Beles River Basin on runoff, soil loss, and sediment-associated losses of SOC, N, and P from agricultural land. Four LMPs (vetiver grass strips (VGS), conservation agriculture (CA), soil bunds (SB), and fanya juu (FJ)) were evaluated via runoff plots arranged in a randomized complete block design (RCBD) with three replicates. Farmer practices were used as a control (C). The experiments, which were performed over three years (2021–2023), generated runoff, soil loss, and nutrient loss data. The three-year mean annual runoff ranged from 58.5 to 407.5 mm, and the soil loss ranged from 4.3 to 45.4 t/ha, whereas the annual rainfall varied between 1,402 mm in 2021, 1,254 mm in 2022, and 1,261 mm in 2023. On average, runoff was reduced by 36%–85%, and soil loss was reduced by 53%–91% in the LMP-treated plots. Additionally, sediment-associated losses of SOC, N, and P were reduced by 55%–90%, 52%–90%, and 28%–72%, respectively. The results revealed significant differences (<em>p</em> &lt; 0.05) among the treatments in terms of reducing runoff, soil loss, and sediment-associated losses of SOC, N, and P. The mean annual runoff and soil loss rates during the study were 407.5, 230.3, 136.3, 59.6, and 58.5 mm and 45.4, 21.5, 11.1, 4.5, and 4.3 t/ha under the control, VGS, CA, SB, and FJ practices, respectively. The highest rates of runoff and soil loss were observed under the control conditions (407.4 mm and 45.4 t/ha). Runoff, soil loss, SOC, and nutrient (N and P) losses were significantly lower (<em>p</em> &lt; 0.05) in the plots treated with FJ and SB than in the other plots. However, CA and VGS also significantly varied (<em>p</em> &lt; 0.05) in reducing runoff, soil, SOC, and nutrient losses over the years. These results highlight the key role of LMPs in warm subhumid lowland rainfed agroecosystems as effective land management techniques for controlling soil and nutrient loss.</div></div>","PeriodicalId":50290,"journal":{"name":"International Journal of Sediment Research","volume":"40 4","pages":"Pages 651-665"},"PeriodicalIF":3.5,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144549625","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":"Effects of different vegetation litter cover on hydrodynamic characteristics of soil runoff-sediment yield in Taiyi Mountain area of northern China","authors":"Yuan He ,&nbsp;Zihao Fan ,&nbsp;Wei Zhao ,&nbsp;Zhihao Tian ,&nbsp;Dingmeng Hu ,&nbsp;Zixu Zhang ,&nbsp;Yucun Lu ,&nbsp;Peng Gao","doi":"10.1016/j.ijsrc.2025.04.004","DOIUrl":"10.1016/j.ijsrc.2025.04.004","url":null,"abstract":"<div><div>Vegetation litter is effective in mitigating surface soil erosion caused by rainfall and runoff. Studying the runoff, sediment yield, and hydrodynamic characteristics of the soil covered by vegetation litter cover is crucial to understanding how vegetation litter cover affects soil erosion. To assess the impacts of different types of vegetation litter on soil erosion in the Taiyi Mountain area of northern China, <em>Quercus acutissima</em> Carruth. (QAC), <em>Pinus densiflora</em> Siebold &amp; Zucc. (PDS), <em>Vitex negundo</em> var. <em>heterophylla</em> Rehd. (VNH), and <em>Themeda japonica</em> Willd. (TJW) litter covered soil were the research subjects, and no-litter covered soil was used as a control check (CK). The process of erosion of soil covered by different vegetation litter under different rainfall intensities (50, 75, and 100 mm/h) with 60 min of rainfall was studied. It was found that compared with CK, the runoff and sediment yield rates of litter-covered soil decreased by 18.95%–44.15% and 21.42%–60.16%, respectively. In terms of the effect on reducing the runoff and sediment yield rate, the performance is QAC &gt; PDS &gt; VNH &gt; TJW. Under varying rainfall intensities, the patterns of runoff and sediment yield fluctuate as rainfall duration increases. Likewise, with the increase in rainfall intensity, the runoff yield rate and sediment yield rate also show an increasing trend. The runoff yield rate was increased by 3.21 and 1.49 times under 100 mm/h compared with 50 and 75 mm/h, respectively. Additionally, there were 16.56 and 1.44 times, respectively, and increases in the sediment yield rate. Hydrodynamically, litter cover increases the Darcy-Weisbach friction coefficient by 1.49–11.15 times, increases the shear stress threshold for initiating soil erosion by about 6.67%–38.01%. This further led to a reduction in the runoff flow velocity and stream power, by approximately 14.87%–67.26% and 7.38%–61.54%, respectively, thereby reducing the degree of soil erosion. The current research demonstrates that the characteristics of soil erosion and sediment yield under vegetation litter cover can be more accurately described by the stream power among the hydrodynamic parameters.</div></div>","PeriodicalId":50290,"journal":{"name":"International Journal of Sediment Research","volume":"40 4","pages":"Pages 588-599"},"PeriodicalIF":3.5,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144549461","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":"Probabilistic risk assessment of fifteen metal(loid)s and their mixtures in surface sediment of Hongze Lake (China) using the diffusive gradients in thin films (DGT) technique","authors":"Changjiang Ma ,&nbsp;Yang-Guang Gu ,&nbsp;Richard W. Jordan ,&nbsp;Shi-Jun Jiang ,&nbsp;Meirong Wang","doi":"10.1016/j.ijsrc.2025.01.007","DOIUrl":"10.1016/j.ijsrc.2025.01.007","url":null,"abstract":"<div><div>Freshwater lakes in China face increasing environmental pressures due to rapid urbanization and industrialization, with metal pollution emerging as a significant concern. Despite this, the ecological risk assessment of metal mixtures in lake sediment remains limited. The current study addresses this gap by utilizing the diffusive gradients in thin films (DGT) technique to investigate the distribution and ecological risk of metals and arsenic in surface sediment of Hongze Lake, China. Substantial variations in metal concentrations were found across sampling sites, with average values of manganese (Mn) (1,730.56 μg/L) and iron (Fe) (930.58 μg/L) being notably high. The ecological risk quotient (RQ) values for Mn and Fe exceeded 1 at all sites, indicating substantial ecological risks, while copper (Cu) and arsenic (As) had RQ values near or above 1 at most sites. A joint probabilistic risk assessment using the species sensitivity distribution (SSD) method revealed a 30.31% probability of concurrent toxic effects on aquatic organisms. These results highlight the pressing need for proactive measures to mitigate metal contamination risks in Hongze Lake. The current study provides critical insight into the ecological risks associated with metal pollution and underscores the importance of effective environmental management to preserve the lake's ecosystem.</div></div>","PeriodicalId":50290,"journal":{"name":"International Journal of Sediment Research","volume":"40 3","pages":"Pages 512-522"},"PeriodicalIF":3.5,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143932134","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":"Evaluation of eco-friendly soil slope stabilization techniques for forest roads by using an Artificial Neural Network (ANN)","authors":"Kıvanç Yüksel ,&nbsp;Neşe Gülci ,&nbsp;Abdullah Emin Akay ,&nbsp;Sercan Gülci","doi":"10.1016/j.ijsrc.2025.01.011","DOIUrl":"10.1016/j.ijsrc.2025.01.011","url":null,"abstract":"<div><div>In this study, the effectiveness of different stabilization techniques implemented on the forest road cut slopes was investigated in terms of controlling erosion and runoff. Wood production residues, hydroseeding, and jute geotextile treatments were applied on study plots located on the example road. The amount of erosion and runoff were measured on the study plots which were established for different slope grades of 20°, 30°, and 40°. Then, the amount of erosion and runoff measured from the plots were compared to determine the performance of stabilization techniques on the cut slope. In the solution process, an Artificial Neural Network (ANN) model, which is one of the machine learning algorithms, was used to predict sediment yield from forest road cut slopes. The sediment yields averaged over the three slope grades from highest to lowest were measured as 6.41, 1.16, 0.65, and 0.45 g/m² in the control plot with no treatment, jute geotextile, hydroseeding, and wood production residues, respectively. The averaged over the three runoff amounts slope grades from the highest to the lowest were determined as 6.82, 3.71, 1.64, and 1.30 mm/m² in control the plot, jute geotextile, hydroseeding, and wood production residues, respectively. Comparing to the control plot, wood production residues, hydroseeding, and jute geotextile treatments reduced the sediment yields by 14, 10, and 5 times, respectively. On the other hand, wood production residues, hydroseeding, and jute geotextile applications reduced the runoff amount by 5, 4, and 2 times, respectively. As a result, it was found that wood production residues and hydroseeding treatment can be more efficient in reducing the amount of runoff and sediment yield compared to the jute geotextile treatment. The ANN method achieved high accuracy in predicting sediment yield and it was concluded that the ANN can be used as an effective method to evaluate soil slope stabilization techniques.</div></div>","PeriodicalId":50290,"journal":{"name":"International Journal of Sediment Research","volume":"40 3","pages":"Pages 476-488"},"PeriodicalIF":3.5,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143932148","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":"Complex morphodynamic processes of a large braided channel in response to different flood flow discharges on the Qinghai-Tibet Plateau","authors":"Weiqi Ouyang ,&nbsp;Zhiwei Li ,&nbsp;Hanyou Lu ,&nbsp;Yunshuo Cheng ,&nbsp;Guo-An Yu ,&nbsp;Weiwei Yao ,&nbsp;Zhixian Cao","doi":"10.1016/j.ijsrc.2025.01.008","DOIUrl":"10.1016/j.ijsrc.2025.01.008","url":null,"abstract":"<div><div>The frequency and intensity of river floods in the Qinghai-Tibet Plateau (QTP) are increasing under the background of climate warming. In particular, the braided channel in the wide valley section in the Source Region of the Yangtze River (SRYR) has undergone drastic adjustments due to recent summer floods and further adjustments are expected in the future as climate change continues. Nonetheless, a lack of a quantitative description of the phenomenon persists. In order to unravel morphodynamic processes of a braided river under different flood flow discharges, a two-dimensional morphodynamic model was established using Delft3D to simulate the local braided channel in the Tuotuo River based on field observations and remote sensing images in the SRYR. The data of 1, 2, 5, and 10-yr flood hydrographs from 1985 to 2020 were obtained, using the hydrological data at the Tuotuohe Gauging Station. Specifically, two groups of actual flood hydrographs were used to simulate the hydrodynamic and riverbed adjustment of the braided channel reach. The following findings were revealed: (i) increases in discharge cause increases of the water level, and thus the flood flow erode and submerge the sandbars. During a flood, the previous branches are replaced by new branches and the braided channel shows a significantly different configuration after the flood. (ii) With the increase of the flood discharge, the amount of sediment erosion and deposition in the braided channels escalates. Specifically, the sediment erosion and deposition of the 10-yr flood will increase by 3.1 times and 4.7 times, respectively, in comparison with the 1-yr flood. (iii) When the discharge is greater than 180 m³/s, the braiding intensity in the wide valley section (&gt;1.2 km) has a significant decreasing trend with the increase in the flood flow. When the discharge is less than 180 m³/s, the correlation between the braiding intensity and flood flow is not significant in the wide reach. (iv) The braiding intensity of the wide reach as flood frequency increases from the 1- to 2-yr events increases by 14.3%, 11.6%, respectively, and decreases for the 5- to 10-yr events by 3.2% and 10.8%, respectively. In the narrow reach, the increases are 25.5% and 11.2%, for the 1- and 2-yr events, respectively, and the decreases are 25.0% and 53.3% for the 5- and 10-yr events, respectively. The parabolic shape of the correlation between the braided intensity and flood discharge increases first, reaches a peak, and then decreases. Overall, the current study contributes to the understanding of the impact of gradually increasing flood discharge on the morphodynamics of braided rivers in the QTP.</div></div>","PeriodicalId":50290,"journal":{"name":"International Journal of Sediment Research","volume":"40 3","pages":"Pages 439-453"},"PeriodicalIF":3.5,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143932145","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":"TOC","authors":"","doi":"10.1016/S1001-6279(25)00031-9","DOIUrl":"10.1016/S1001-6279(25)00031-9","url":null,"abstract":"","PeriodicalId":50290,"journal":{"name":"International Journal of Sediment Research","volume":"40 3","pages":"Pages ii-iii"},"PeriodicalIF":3.5,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143932154","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":"Simulating fluvial sediment pulses using remote sensing and machine learning: Development of a modeling framework applicable to data rich and scarce regions","authors":"Abhinav Sharma ,&nbsp;Celso Castro-Bolinaga ,&nbsp;Natalie Nelson ,&nbsp;Aaron Mittelstet","doi":"10.1016/j.ijsrc.2025.02.002","DOIUrl":"10.1016/j.ijsrc.2025.02.002","url":null,"abstract":"<div><div>Fluvial sediment pulses pose a significant threat to the overall ecological health of river systems. Nonetheless, the scarcity of monitored and published data underscores the importance of devising innovative methods for understanding and measuring how river systems react to the introduction of sediments across the fluvial domain. The objective of this study was to create a modeling framework based on reflectance–turbidity that can be applied in regions with both limited and abundant data. Various combinations of predictor variables, training algorithms including linear regression and additional machine learning methods, and input data availability scenarios were examined to comprehend the factors influencing turbidity prediction on a regional scale. The results indicated that, for Washington state, the random forest algorithm, utilizing a combination of reflectance-based predictors and sediment delivery index (SDI) as predictors, produced the most accurate outcomes (data rich: NSE = 0.54, RSR = 0.68, data scarce: NSE = 0.47, RSR = 0.73). However, when tested on three locations in Washington experiencing sediment pulses, the reflectance–based turbidity prediction model consistently underestimated the peak high and peak low turbidity levels for the Elwha River. The model also exhibited consistent inaccuracies in predicting the initial phase of sediment pulses following the Oso Landslide. Nevertheless, promising results were observed for the Toutle River, downstream to the St. Mt. Helens Volcanic eruption site. Overall, the inclusion of SDI in the model enhanced its efficiency and transferability. By enabling the reconstruction of fluvial sediment pulses in data-scarce regions following dam removals, this integrated approach contributes to advancing our understanding of how rivers respond quantitatively and predictively to these disturbances in sediment supply.</div></div>","PeriodicalId":50290,"journal":{"name":"International Journal of Sediment Research","volume":"40 3","pages":"Pages 523-536"},"PeriodicalIF":3.5,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143932153","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}