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Effect of rainfall intensity and gravel content on hydraulic characteristics and hydraulic parameters on soil erosion of spoil heaps: Laboratory experiments with simulated rainfall 降雨强度和碎石含量对矸石堆水力特性及水力参数对土壤侵蚀的影响:室内模拟降雨试验
IF 7.3 1区 农林科学 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2025-02-22 DOI: 10.1016/j.iswcr.2025.02.005
Qingyu Zhang , Yiyuan Zhang , Dongkai Chen , Xinwei Wang , Yan Zhu , Zimin Yin , Wenbo Shang , Han Luo
Spoil heaps represent one of the most severe forms of soil degradation and serve as significant triggers for geological disasters. To investigate the hydraulic characteristics of runoff and dynamical mechanisms of erosion on spoil heaps slopes, we conducted a series of simulated rainfall experiments under varying conditions: rainfall intensities (30, 60, 90, and 120 mm h−1) and gravel contents (0%, 10%, 20%, 30%, and 40%). The hydraulic parameters exhibited distinct patterns under different experimental conditions. These hydraulic parameters were positively influenced by rainfall intensity, gravel content, scouring time, and the interaction of rainfall intensity and gravel content, with gravel content showing the most significant impact. Under the experimental conditions, runoff on the spoil heap slopes manifested as rapid and laminar flow. The temporal evolution of the roughness coefficient paralleled that of the resistance coefficient. Exponential relationships were observed between hydraulic parameters and rainfall intensity, while quadratic relationships emerged between hydraulic parameters and gravel content in the soil-gravel mixture. The presence of gravel significantly altered the hydraulic characteristics of the spoil heaps slopes, with a critical threshold occurring at 20–30% gravel content. The Reynolds number (Re) and Froude number (Fr) demonstrated a negative logarithmic relationship (R2 = 0.472, P < 0.05), while Darcy-Weisbach resistance coefficient (f) and Manning roughness coefficient (n) exhibited a positive logarithmic relationship (R2 = 0.980, P < 0.01). Significant exponential relationships were found between f and Re, as well as between n and Re. Furthermore, power function relationships were established between Fr and f, and between Fr and n (R2 = 0.999 and R2 = 0.979, P < 0.01). The hydraulic parameters effectively predicted soil loss through power function. Fr, f, and n showed significant power function relationships with runoff rate, while Re demonstrated a highly significant linear relationship (R2 = 1.0). Among all parameters, Re exhibited the most stable relationship with both soil loss rate and runoff rate, making it the most suitable indicator for characterizing soil erosion. High gravel cover on slopes reduced the erosive effect of runoff. Under all rainfall conditions, hydraulic parameters influenced soil erosion more indirectly than directly, following the pathway: rainfall ➝ hydraulic parameters ➝ runoff ➝ soil erosion.
废土堆是土壤退化最严重的形式之一,是地质灾害的重要诱因。为了研究径流的水力特性和矸石堆坡面侵蚀的动力机制,我们在不同条件下进行了一系列模拟降雨实验:降雨强度(30、60、90和120 mm h - 1)和砾石含量(0%、10%、20%、30%和40%)。在不同的试验条件下,水力参数表现出不同的规律。降雨强度、含砾量、冲刷时间以及降雨强度与含砾量的交互作用对这些水力参数均有正向影响,其中含砾量的影响最为显著。在试验条件下,坡面径流表现为快速层流。粗糙度系数的时间演化与阻力系数的时间演化平行。水力参数与降雨强度呈指数关系,而水力参数与土-碎石混合体中碎石含量呈二次关系。碎石的存在显著改变了矸石堆边坡的水力特性,在碎石含量为20-30%时出现了一个临界阈值。雷诺数(Re)与弗劳德数(Fr)呈负对数关系(R2 = 0.472, P <;Darcy-Weisbach阻力系数(f)和Manning粗糙度系数(n)呈正对数关系(R2 = 0.980, P <;0.01)。f与Re、n与Re之间呈显著指数关系,Fr与f、Fr与n之间呈幂函数关系(R2 = 0.999、R2 = 0.979, P <;0.01)。水力参数通过幂函数可以有效地预测土壤流失量。Fr、f、n与径流率呈显著幂函数关系,Re与径流率呈极显著线性关系(R2 = 1.0)。Re与土壤流失率和径流率的关系最为稳定,是表征土壤侵蚀最合适的指标。坡面砾石覆盖高,径流侵蚀作用减弱。在所有降雨条件下,水力参数对土壤侵蚀的间接影响大于直接影响,其路径是:降雨、水力参数、径流、土壤侵蚀。
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引用次数: 0
Study on the shelter and sand control effect of new porous sand barriers from recycled wind turbine blades 再生风电叶片新型多孔沙障的遮挡和防沙效果研究
IF 7.3 1区 农林科学 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2025-02-22 DOI: 10.1016/j.iswcr.2025.02.006
Chenchen He , Benli Liu , Daiying Yin , Minlan Li , Caizhi Hu , Xiang Xiao , Yan Duan , Minghao Fang , Pengtao Hou
Aeolian disasters pose considerable threats to socioeconomic systems, ecological environments, and infrastructures such as railways and highways, in arid and semiarid regions. To reduce these problems, mechanical sand control measures are needed, with sand barriers being the most widely applied. However, conventional materials of sand barriers, such as crop straws, reeds, branches, High-Density Polyethylene (HDPE), and biodegradable Polylactic Acid (PLA), have drawbacks, including susceptibility to aging, unsuitability for extreme temperatures and severe wind erosion, as well as short service life. This study introduces new porous sand barriers made from decommissioned or damaged wind turbine blades. The results of mechanical performance testing, wind tunnel experiments, and numerical simulations indicated that the bending strength of the new sand barrier was 14 times that of wood composite materials and its erosion rate can be 56% lower. The new sand barriers with different porosities effectively reduced sediment transport, and the optimal porosity was found to be 20%; while higher or lower porosities were detrimental to sand control. The combined advantages of porous structure, flexibility, and strength of this new sand barrier make it well suited for regions with strong winds, large temperature variations, and intense ultraviolet (UV) radiation. Utilizing decommissioned or damaged wind turbine blades as sand control materials shows great potential for application.
风沙灾害对干旱、半干旱地区的社会经济系统、生态环境以及铁路、公路等基础设施构成相当大的威胁。为了减少这些问题,需要采取机械防砂措施,其中防砂屏障的应用最为广泛。然而,传统的沙障材料,如农作物秸秆、芦苇、树枝、高密度聚乙烯(HDPE)、可生物降解的聚乳酸(PLA)等,都存在老化、不适应极端温度和严重风蚀、使用寿命短等缺点。本研究介绍了由退役或损坏的风力涡轮机叶片制成的新型多孔砂障。力学性能测试、风洞试验和数值模拟结果表明,新型沙障的抗折强度是木质复合材料的14倍,侵蚀率可降低56%。不同孔隙度的新型沙障有效地减少了输沙量,最佳孔隙度为20%;而孔隙度过高或过低则不利于防砂。这种新型沙屏障具有多孔结构、柔韧性和强度等综合优势,非常适合强风、温度变化大、紫外线辐射强的地区。利用退役或损坏的风力涡轮机叶片作为防砂材料具有巨大的应用潜力。
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引用次数: 0
Heavy metal(loid)s migration mechanisms during soil erosion: A systematic quantitative review 土壤侵蚀过程中重金属迁移机制的系统定量研究
IF 7.3 1区 农林科学 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2025-02-19 DOI: 10.1016/j.iswcr.2025.02.002
Jia Chen , Pingping Fan , Feng Zhang , Liang Tai , Nufang Fang , Yong Niu , Zeyan Wu , Zhiyong Fu , Kelin Wang
Heavy metal(loid)s migration occurs in both particulate and dissolved forms during soil erosion, but it is unclear which form is dominant and which factors affect it. Thus, a quantitative synthesis of 379 global observations was conducted to assess heavy metal(loid)s migration mechanisms and a random forest analysis was used to assess the influence of key factors on the dissolved fraction of heavy metal(loid)s. Particulate-associated heavy metal(loid)s transport accounts for over 80% of the total. Heavy metal(loid)s migration forms are not significantly affected by experimental conditions (indoor simulated and field monitored), yet they vary between erosional and depositional zones. The dissolved percentage of Pb, As and Hg within areas of erosion were higher than in areas of deposition, while the opposite trend occurred for Cd, Cu, Zn, Cr and Ni. Soil Total Organic Carbon (TOC) was the most important factor affecting the migration of heavy metal(loid)s during soil erosion. Our results confirmed that heavy metal(loid)s usually migrate in association with fine-grained sediments due to their large surface area and high surface functional groups. These findings provide scientific guidance for further understanding migration mechanisms and the methods need to control heavy metal(loid)s transport during soil erosion.
在土壤侵蚀过程中,重金属以颗粒和溶解两种形式迁移,但目前尚不清楚哪一种形式占主导地位以及哪些因素影响重金属迁移。为此,通过对379个全球观测数据的定量综合来评估重金属(loid)的迁移机制,并采用随机森林分析来评估关键因素对重金属(loid)溶解分数的影响。与颗粒物相关的重金属(loid)的运输占总量的80%以上。实验条件(室内模拟和现场监测)对重金属迁移形态没有显著影响,但在侵蚀带和沉积带之间存在差异。侵蚀区Pb、As和Hg的溶解率高于沉积区,Cd、Cu、Zn、Cr和Ni的溶解率则相反。土壤总有机碳(TOC)是影响土壤侵蚀过程中重金属迁移的最重要因素。我们的研究结果证实,重金属(样物质)由于其大表面积和高表面官能团,通常与细粒沉积物一起迁移。这些发现为进一步认识土壤侵蚀过程中重金属迁移机制和控制重金属迁移的方法提供了科学指导。
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引用次数: 0
The evolution of large gullies in association with long-term rainfall in the Tsitsa River Catchment, Eastern Cape, South Africa 大型沟壑的演变与长期降雨在Tsitsa河流域,东开普省,南非
IF 7.3 1区 农林科学 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2025-02-15 DOI: 10.1016/j.iswcr.2025.02.004
Ryan Leigh Anderson , Jay le Roux , Kate Rowntree
Large gullies exist as permanent features in the landscape that impact the surrounding environment and communities. The effect of rainfall on long-term gully evolution is still understudied, especially for large gully systems. The extent of the growth of the gullies of four large gullies in the Eastern Cape Province (South Africa) is explored over a 70-year period (1950–2020) in relation to rainfall. The extent of these gullies was mapped by manually digitizing the gully edges using aerial surveys and SPOT images captured during the study period. Daily rainfall depths were assessed to examine intense rainfall and rainfall erosivity values using the modified Fournier index. The results reveal an exponential trend of the evolution of the gully in which two phases of development of the gully occurred, according to the type of erosion processes that occurred. The first phase (1950–2004) was mainly characterised by the linear lengthening of the gully systems. The second phase (2004–2020) is mainly characterised by the initiation and growth of side branches in the gullies, with greater increases in extent. Both phases recorded highly erosive rainfall. It is postulated that gully expansion accelerated in Phase 2 due to land degradation resulting from increased livestock in the area. This study highlights that intense rainfall, while acting as a driver for gully expansion, is influenced by interconnected factors, including vegetation cover removal and topography. The findings of this study have implications for the results of control measures in large gully systems with dispersive soils.
大型沟渠作为景观中的永久特征存在,影响着周围的环境和社区。降雨对长期沟壑演变的影响仍未得到充分研究,特别是对大型沟壑系统的影响。研究了东开普省(南非)四个大沟壑的增长程度,研究了70年来(1950-2020年)与降雨的关系。这些沟壑的范围是通过使用航空调查和研究期间捕获的SPOT图像对沟壑边缘进行人工数字化来绘制的。利用改进的富尼尔指数评估日降雨深度,以检验强降雨和降雨侵蚀力值。结果表明,根据所发生的侵蚀过程的类型,沟的演变呈指数趋势,沟的发育经历了两个阶段。第一阶段(1950-2004)的主要特征是沟壑系统的线性延长。第二阶段(2004-2020年)以沟壑区侧枝的形成和生长为主要特征,范围增加幅度较大。两个阶段都录得高度侵蚀性降雨。据推测,由于该地区牲畜增加导致土地退化,沟谷扩张在第2阶段加速。该研究强调,强降雨虽然是沟壑扩张的驱动因素,但也受到植被覆盖去除和地形等相互关联因素的影响。本研究结果对具有分散性土壤的大型沟渠系统的控制措施的结果具有指导意义。
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引用次数: 0
Dynamic change of watershed sediment sources during implementation of the “grain for green” project in the coarse sandy areas of the Chinese Loess Plateau 黄土高原粗沙区退耕还林工程实施期间流域泥沙源动态变化
IF 7.3 1区 农林科学 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2025-02-13 DOI: 10.1016/j.iswcr.2025.02.003
Kai Wang , Gang Liu , Xiaokang Wang , Yingli Shen , Chengbo Shu , Qiong Zhang , Xiaolin Xia , Dandan Liu , Zhen Guo , Xining Zhao
A quantitative assessment of sediment sources is crucial for understanding soil erosion trends and enhancing soil erosion prevention and control measures. The environmental elements, such as vegetation, land use, and rainfall, etc., of the Chinese Loess Plateau (CLP) changed significantly after the implementation of “Grain for Green” (GFG) project. However, the response of sediment sources to the environmental changes in different periods remains unclear. In this study, sediment yields and sources were investigated by using the composite fingerprinting method. Forty flood couplets and their sediment yields corresponding to the 20-year period after the GFG project were established in Shagouba watershed, Shaanxi Province, China. Results showed that the thicker flood couplets, the higher percentage of silt and clay particles. Following the GFG project, the cumulative sediment yields during the first period (2000–2010) was 91,760 t, and in the second period (2011–2019) was 77,940 t. The sediment contributions changed from the first period that gully (48.73%) > shrub sandy land (28.82%) > sloping farmland (12.06%) > forestland and grassland (8.58%) > road (1.81%), to the second period that gully (47.33%) > shrub sandy land (26.40%) > forestland and grassland (10.27%) > road (9.02%) > sloping farmland (6.98%). The gully always contributes the most sediment, thus implementing measures such as safeguarding gully heads and constructing bio-valley mills in channels were recommended to mitigate gully erosion. This study provides a scientific basis for evaluating the effects of the GFG project on the CLP, and theoretical support for the scientific management of small watersheds.
定量评价泥沙来源对了解土壤侵蚀趋势和加强土壤侵蚀防治措施具有重要意义。“退耕还林”工程实施后,黄土高原植被、土地利用、降雨等环境要素发生了显著变化。但不同时期泥沙源对环境变化的响应尚不清楚。本研究采用复合指纹图谱法对沉积物的产沙量和来源进行了研究。对陕西省沙沟坝流域40对水联及其20年的产沙量进行了分析。结果表明,洪水联越厚,淤泥和粘土颗粒的比例越高。GFG工程后,第一期(2000-2010年)累计产沙量为91,760 t,第二期(2011-2019年)累计产沙量为77,940 t。灌丛沙地(28.82%)>;坡耕地(12.06%)>;林地和草地(8.58%)>;公路(1.81%),至二期即沟(47.33%);灌丛沙地(26.40%)>;林地和草地(10.27%)>;道路(9.02%)>;坡耕地(6.98%)。沟道对泥沙的贡献是最大的,因此建议采取保护沟头和在河道中建造生物谷磨坊等措施来缓解沟道侵蚀。本研究为评价三峡工程对中关区的影响提供了科学依据,为小流域的科学管理提供了理论支持。
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引用次数: 0
Modelling land use changes impacts on the silting of small agricultural water harvesting reservoirs 模拟土地利用变化对小型农业集水库淤积的影响
IF 7.3 1区 农林科学 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2025-02-11 DOI: 10.1016/j.iswcr.2025.02.001
Elia Degli Innocenti , Giulio Castelli , Simone Pozzolini , Federico Preti , Elena Bresci , Enrica Caporali
Water harvesting with Small Agricultural Reservoirs (SmAR) represents a solution for sustainable water management in different contexts. However, many technical challenges are still open despite its widespread application. One of the most relevant, for the sustainable management of SmAR, is represented by the loss of storage volume caused by the inflow of sediments, but the analysis of the dynamics of sedimentation for such small structures has received relatively little interest so far. This study aims to implement a validated model simulating the hydrology and erosion dynamics of the catchment upstream of a SmAR in the Mediterranean basin, specifically in the hilly area of Crete Senesi, Tuscany Region (Italy). Here, wine production is particularly developed, but not within the catchment of study, where the cultivation of cereals and forage is practiced. Our analysis aimed at estimating how much the rate of sediment accumulation in the reservoir would vary with the replacement of currently arable land with vineyards. A model was implemented on the HEC-HMS software, maximizing the value of existent low-cost data (Google Earth imagery and regional erosion maps) for its validation. The validated model was then used to test alternative land use scenarios in the upstream catchment, showing its flexibility for supporting decision-making over SmAR management. The model performed with an error always below 5% on the SmAR area detected by satellite. Erosion values calculated with HEC-HMS were in line, but lower than the estimation made by the Tuscany region with a GIS-based procedure. The scenario analysis showed that the simulated land use change led to a high value of annual sediment accumulation in the reservoir (216% of the original value of erosion obtained with cereals and other crops), showing the indirect cost of changing the cropping patterns to vineyard production. The approach can be replicated at the local scale in all other contexts where similar, and relatively easy-to-get, data are available. Further development of the present approach can include the replication of similar low-cost methodologies on other case studies, refinement of the erosion modelling and sensitivity analysis.
小型农业水库集水(SmAR)是不同环境下可持续水管理的一种解决方案。然而,尽管它得到了广泛的应用,但仍存在许多技术挑战。与SmAR可持续管理最相关的问题之一是沉积物流入造成的储存量损失,但迄今为止,对这种小型结构的沉积动力学分析的兴趣相对较少。本研究旨在实施一个经过验证的模型,模拟地中海盆地SmAR上游流域的水文和侵蚀动力学,特别是在托斯卡纳地区(意大利)克里特岛塞内西的丘陵地区。在这里,葡萄酒生产特别发达,但不在研究范围内,在那里种植谷物和饲料。我们的分析旨在估计水库中沉积物积累的速率会随着目前耕地被葡萄园取代而发生多大的变化。在HEC-HMS软件上实现了一个模型,最大化了现有低成本数据(谷歌地球图像和区域侵蚀图)的价值,以验证其有效性。经过验证的模型随后被用于测试上游集水区的备选土地利用方案,显示其在支持SmAR管理决策方面的灵活性。该模型对卫星探测到的SmAR区域误差始终在5%以下。HEC-HMS计算的侵蚀值是一致的,但低于托斯卡纳地区使用基于gis的程序所做的估计。情景分析表明,模拟的土地利用变化导致水库的年泥沙累积值很高(为谷物和其他作物获得的原始侵蚀值的216%),显示了改变种植模式对葡萄园生产的间接成本。这种方法可以在所有其他类似且相对容易获得数据的情况下在当地范围内复制。本方法的进一步发展可包括在其他案例研究中复制类似的低成本方法,改进侵蚀模型和敏感性分析。
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引用次数: 0
Predictive performance and uncertainty analysis of ensemble models in gully erosion susceptibility assessment 集合模型在沟道侵蚀敏感性评价中的预测性能及不确定性分析
IF 7.3 1区 农林科学 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2025-01-25 DOI: 10.1016/j.iswcr.2025.01.004
Congtan Liu , Haoming Fan , Yixuan Wang
Gully erosion, as a significant natural process in geomorphological evolution, poses serious threats to natural environments and socio-economic stability. In response, Gully Erosion Susceptibility Maps (GESMs) have become essential references for effective watershed management. This study aims to identify the optimal feature datasets and to quantify the uncertainty associated with gully erosion prediction models by developing a novel methodological framework based on ensembles of the three machine learning models: Random Forest (RF), Convolutional Neural Network (CNN), and Transformer models. This study area is the Tuquan watershed in Inner Mongolia, China. A total of 25 Geo-Environmental Factors (GEFs) were selected to build datasets, supplemented by a gully inventory map comprising 823 gullies, resulting in 12,946 samples of both gully and non-gully occurrences. 3 ensemble methods including probability mean (PM), Probability Weighted Mean (PWM), and Probability Empirical Weighted Mean (PEWM) were used. Subsequently, the datasets underwent multi-collinearity testing before model computations. The optimal feature datasets S7 included factors such as the Convergence Index (CI), Topographic Wetness Index (TWI), Terrain Ruggedness Index (TRI), distance from river, annual rainfall, distance from road, drainage density, elevation, Normalized Difference Vegetation Index NDVI, slope, and Slope Length (LS). The ensemble model Transformer-RF-CNN employing PEWM demonstrated superior performance, validated by 10-fold cross-validation and 8 metrics: Efficiency (E), True Positive Rate (TPR), False Positive Rate (FPR), True Skill Statistics (TSS), Kappa coefficient (K), Area Under the receiver operating characteristic Curve (AUC), Root Mean Square Error (RMSE), and Mean Absolute Error (MAE). The uncertainty associated with GESMs was quantified using the Coefficient of Variation (CV) map, resulting in a confidence map that classified 20 zones, with 75.976% of gullies located in high-susceptibility and low-uncertainty areas. This study provides critical insights for regulators and decision-makers, facilitating more informed planning for gully erosion prevention and control.
沟蚀是地貌演化过程中一个重要的自然过程,对自然环境和社会经济稳定构成严重威胁。因此,沟壑区侵蚀敏感性图(GESMs)已成为有效流域管理的重要参考。本研究旨在通过开发一种基于随机森林(RF)、卷积神经网络(CNN)和变压器模型这三种机器学习模型的集成的新方法框架,确定最佳特征数据集,并量化与沟蚀预测模型相关的不确定性。本研究区为内蒙古土泉流域。共选取25个地理环境因子(gef)构建数据集,并辅以包含823个沟壑的沟壑清查图,共获得12946个沟壑和非沟壑发生地样本。采用概率均值(PM)、概率加权均值(PWM)和概率经验加权均值(PEWM) 3种集成方法。随后,在模型计算之前,对数据集进行多重共线性检验。最优特征数据集S7包括收敛指数(CI)、地形湿度指数(TWI)、地形崎岖指数(TRI)、与河流的距离、年降雨量、与道路的距离、排水密度、高程、归一化植被指数NDVI、坡度和坡度长度(LS)等因子。采用PEWM的集成模型Transformer-RF-CNN表现出卓越的性能,通过10倍交叉验证和8个指标验证:效率(E)、真阳性率(TPR)、假阳性率(FPR)、真技能统计(TSS)、Kappa系数(K)、接收者工作特征曲线下面积(AUC)、均方根误差(RMSE)和平均绝对误差(MAE)。利用变异系数(CV)图对与GESMs相关的不确定性进行量化,得到20个区域的置信度图,其中75.976%的沟槽位于高敏感性和低不确定性区域。该研究为管理者和决策者提供了重要的见解,促进了更明智的沟蚀防治规划。
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引用次数: 0
Improving SOC estimation in low-relief farmlands using time-series crop spectral variables and harmonic component variables based on minimum sample size 基于最小样本量的时间序列作物光谱变量和谐波分量变量改进低起伏农田有机碳估算
IF 7.3 1区 农林科学 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2025-01-24 DOI: 10.1016/j.iswcr.2025.01.005
Chenjie Lin , Ling Zhang , Nan Zhong
Efficiently monitoring Soil Organic Carbon (SOC) in farmlands is crucial for environmental and agricultural sustainability. Currently, crop spectral variables are primarily employed to estimate SOC in low-relief farmlands. To enhance SOC estimation, further crop information needs to be excavated. Additionally, few studies have considered the sample size in modeling SOC estimation, which may lead to precision loss and cost waste. Therefore, this study proposed a novel method to improve SOC estimation in low-relief farmlands. This method considers more information on crop growth and minimum sample size. The results showed that: (1) time-series NDVI was established as the characteristic crop spectral variables, based on crop spectral variables extracted from eight-day time-series reflectance products. (2) Seventeen harmonic component variables were derived from time-series NDVI via Fourier transformation. (3) Six crop spectral variables and seven harmonic component variables were determined as the optimal SOC estimators. (4) The convolutional neural network model provided higher SOC estimation accuracy (R2 = 0.81, NRMSE = 7.09%) than the random forest model and the back propagation neural network model. And the minimum sample size based on the optimal model was determined to be 250. (5) The proposed method improved SOC estimation at the regional scale, achieving a 2.54% reduction in NRMSE compared to the NDVI-based model. These findings suggest that the proposed method holds the potential for efficient SOC estimation in low-relief farmlands.
有效监测农田土壤有机碳(SOC)对环境和农业可持续发展至关重要。目前,作物光谱变量主要用于低洼农田土壤有机碳的估算。为了提高土壤有机碳的估算,需要挖掘更多的作物信息。此外,很少有研究在建模SOC估算时考虑样本量,这可能导致精度损失和成本浪费。因此,本研究提出了一种改进低洼农田土壤有机碳估算的新方法。这种方法考虑了更多关于作物生长和最小样本量的信息。结果表明:(1)基于8 d时间序列反射率产品提取的作物光谱变量,建立了时间序列NDVI作为特征作物光谱变量。(2)对时间序列NDVI进行傅里叶变换,得到17个谐波分量变量。(3)确定了6个作物光谱变量和7个谐波分量变量作为土壤有机碳的最优估计量。(4)卷积神经网络模型的SOC估计精度(R2 = 0.81, NRMSE = 7.09%)高于随机森林模型和反向传播神经网络模型。根据最优模型确定最小样本量为250。(5)与基于ndvi的模型相比,该方法改进了区域尺度上的有机碳估算,NRMSE降低了2.54%。这些结果表明,该方法具有在低起伏农田进行高效有机碳估算的潜力。
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引用次数: 0
Morphology evolution of vegetation-covered loess gully heads induced by hydraulic and gravitational erosion 水力和重力侵蚀作用下植被覆盖黄土沟头形态演化
IF 7.3 1区 农林科学 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2025-01-17 DOI: 10.1016/j.iswcr.2025.01.003
Hongliang Kang , Wenlong Wang , Liangna Li , Lei Han
Gully heads suffer hydraulic and gravitational erosion triggered by rainstorms. However, how hydraulic and gravitational erosion affect the morphology evolution of the vegetation-covered loess gully heads is unclear. Field flow scouring and separation experiments were conducted to simulate the runoff and erosion processes of vegetation-covered gully heads subjected to concentrated flow on the Loess Plateau. The results show that the gully heads experienced early simplex hydraulic erosion and subsequent compound hydraulic and gravitational erosion under concentrated flow, resulting in the initiation, development, shrinkage, and reformation of the scour hole and plunge pool. In the early period, the rates of the scour hole widening and deepening had significant linear relationships with the on-wall flow rate (P < 0.01); moreover, among the hydraulic parameters of jet flow, the cumulative width and stable depth of the plunge pool had the highest significant correlations with the kinetic energy of the jet flow into the plunge pool (P < 0.01). Gravitational erosion contributed 26–50% and 0–26% to the maximum width and depth of the scour hole, respectively, and hydraulic erosion played a dominant role in scour hole development. Nevertheless, an overhanging mass collapse could reduce the depth and width of the plunge pool by 56–87% and 77–93%, respectively. The gully head retreated as a cyclic process of scour hole development, scour hole collapse (scour hole enlargement), overhanging mass collapse (scour hole shrinkage), and scour hole redevelopment. The mutual promotion of hydraulic erosion and gravitational erosion resulted in the sustained retreat of the vegetation-covered gully heads.
沟头受到暴雨引发的水力和重力侵蚀。然而,水力侵蚀和重力侵蚀如何影响植被覆盖的黄土沟头的形态演化尚不清楚。采用野外水流冲刷分离试验,模拟了黄土高原植被覆盖沟头在集中水流作用下的径流侵蚀过程。结果表明:沟头在集中水流作用下经历了早期单一的水力侵蚀和随后的水力和重力复合侵蚀,导致冲蚀孔和冲蚀池的形成、发育、收缩和改造;早期,冲刷孔扩深速率与壁面流速呈显著线性关系(P <;0.01);此外,在射流水力参数中,突水池的累积宽度和稳定深度与进入突水池的射流动能的相关性最高(P <;0.01)。重力侵蚀对冲刷孔最大宽度和深度的贡献分别为26 ~ 50%和0 ~ 26%,水力侵蚀对冲刷孔发育起主导作用。悬垂体崩塌可使滑塌池的深度和宽度分别减小56 ~ 87%和77 ~ 93%。沟头后退是冲刷孔发育、冲刷孔崩塌(冲刷孔扩大)、悬垂体崩塌(冲刷孔收缩)、冲刷孔再开发的循环过程。水力侵蚀与重力侵蚀相互促进,导致植被覆盖的沟头持续后退。
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引用次数: 0
How does shrub stem coverage affect the hydraulic properties of concentrated flow and sediment yield during gully bed erosion? 灌木茎盖度如何影响沟床侵蚀过程中集中水流的水力特性和产沙量?
IF 7.3 1区 农林科学 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2025-01-11 DOI: 10.1016/j.iswcr.2025.01.002
Lin Liu , Donghong Xiong , Baojun Zhang , Dan Yang , Yong Yuan , Binyan Zhang , Wenduo Zhang , Liangtao Shi , Xiaodan Wang
Vegetation plays a critical role in influencing runoff processes and soil loss during gully bed erosion. However, it is still unclear how the stem coverage affects gully bed erosion processes by altering the runoff hydraulics and soil sedimentation. A series of in situ scouring experiments were conducted to investigate the influence of shrub stem coverage on the concentrated flow pathway characteristics, hydrodynamic parameters, and sediment concentration during gully bed erosion processes. The Flow pathway characteristics expressed by the Number of flow pathways (FN), total Flow path Width (FW), Tortuosity Ratio (TR), and Fractal Dimension (FD) were quantified by analyzing photographs of the gully bed surface taken during experimental periods. Structural equation model was used to analyze the comprehensive effect of stem coverage on hydraulic erosion of gully beds. The results showed that FN, FW, and TR increased linearly, and FD increased exponentially as stem coverage increased. Compared with the bare gully bed, the flow velocity and shear stress of gully beds with shrub stem covers decreased by 17.47%–25.19% and 4.75%–11.42%, respectively, while the Darcy-Weisbach friction factor increased by 35.94%–68.71%. The sediment concentration of stem-covered gully beds decreased by 11.82%–26.93%. The increasing stem coverage promoted concentrated flow branching and significantly increased FW, which in turn altered hydraulic parameters, particularly reducing flow velocity, and ultimately reducing sediment concentrations indirectly. These results contribute to partially explaining the differences in flow hydraulics and soil loss of vegetated gully beds in previous studies that failed to account for changes in flow pathways.
在沟床侵蚀过程中,植被对径流过程和土壤流失具有重要影响。然而,目前尚不清楚干覆盖如何通过改变径流水力学和土壤沉积来影响沟床侵蚀过程。通过一系列原位冲刷试验,研究了灌丛盖度对沟床侵蚀过程中集中流道特征、水动力参数和泥沙浓度的影响。通过分析实验期间拍摄的沟床表面照片,量化了由流道数(FN)、总流道宽度(FW)、弯度比(TR)和分形维数(FD)表示的流道特征。采用结构方程模型,分析了干盖度对沟床水力侵蚀的综合影响。结果表明:随着茎盖度的增加,FN、FW和TR呈线性增加,FD呈指数增加;与裸沟床相比,有灌木覆盖的沟床流速和剪应力分别降低了17.47% ~ 25.19%和4.75% ~ 11.42%,达西-韦斯巴赫摩擦系数提高了35.94% ~ 68.71%。茎盖沟床的含沙量下降了11.82% ~ 26.93%。增加茎盖度促进了水流集中分支,显著增加了FW,从而改变了水力参数,特别是降低了流速,最终间接降低了含沙量。这些结果有助于部分解释以前的研究中未能考虑到流动路径变化的植被沟槽床的流动水力学和土壤流失的差异。
{"title":"How does shrub stem coverage affect the hydraulic properties of concentrated flow and sediment yield during gully bed erosion?","authors":"Lin Liu ,&nbsp;Donghong Xiong ,&nbsp;Baojun Zhang ,&nbsp;Dan Yang ,&nbsp;Yong Yuan ,&nbsp;Binyan Zhang ,&nbsp;Wenduo Zhang ,&nbsp;Liangtao Shi ,&nbsp;Xiaodan Wang","doi":"10.1016/j.iswcr.2025.01.002","DOIUrl":"10.1016/j.iswcr.2025.01.002","url":null,"abstract":"<div><div>Vegetation plays a critical role in influencing runoff processes and soil loss during gully bed erosion. However, it is still unclear how the stem coverage affects gully bed erosion processes by altering the runoff hydraulics and soil sedimentation. A series of in situ scouring experiments were conducted to investigate the influence of shrub stem coverage on the concentrated flow pathway characteristics, hydrodynamic parameters, and sediment concentration during gully bed erosion processes. The Flow pathway characteristics expressed by the Number of flow pathways (FN), total Flow path Width (FW), Tortuosity Ratio (TR), and Fractal Dimension (FD) were quantified by analyzing photographs of the gully bed surface taken during experimental periods. Structural equation model was used to analyze the comprehensive effect of stem coverage on hydraulic erosion of gully beds. The results showed that FN, FW, and TR increased linearly, and FD increased exponentially as stem coverage increased. Compared with the bare gully bed, the flow velocity and shear stress of gully beds with shrub stem covers decreased by 17.47%–25.19% and 4.75%–11.42%, respectively, while the Darcy-Weisbach friction factor increased by 35.94%–68.71%. The sediment concentration of stem-covered gully beds decreased by 11.82%–26.93%. The increasing stem coverage promoted concentrated flow branching and significantly increased FW, which in turn altered hydraulic parameters, particularly reducing flow velocity, and ultimately reducing sediment concentrations indirectly. These results contribute to partially explaining the differences in flow hydraulics and soil loss of vegetated gully beds in previous studies that failed to account for changes in flow pathways.</div></div>","PeriodicalId":48622,"journal":{"name":"International Soil and Water Conservation Research","volume":"13 2","pages":"Pages 334-347"},"PeriodicalIF":7.3,"publicationDate":"2025-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143715780","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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International Soil and Water Conservation Research
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