土壤生物对土壤有机碳稳定性的影响

应对全球气候变化及制定温室气体减排措施必需了解土壤有机碳的稳定性。当前,比较公认的有机碳稳定机制包括选择性保存,空间不可接近性和分子交互作用。虽然已经有了大量的研究,但至今对土壤有机碳稳定性的稳定机制了解仍不完善,特别是有关土壤生物对有机碳稳定性的贡献没有受到足够重视。在此,我们首先基于公认的有机碳稳定机制探讨土壤生物对有机碳稳定性的影响,随后从土壤生物本身特性及生物与生境协同进化角度出发分析了土壤有机碳的生物稳定机制,特别强调了权衡有机碳稳定性与分解功能服务价值的重要性,最后从土壤生物角度展望了土壤有机碳稳定性研究中的重要方面。     

DEM analysis of “soil”-arching within geogrid-reinforced and unreinforced pile-supported embankments

Geogrid-reinforced and pile-supported (GRPS) embankments have been widely used in road engineering due to their economy and effectiveness. The soil arching effect is a key factor in the load transfer mechanism of GRPS technique. In this study, a series of numerical simulations are conducted with the particle flow code PFC2D to study the evolution of soil arching with increasing surcharge. First, an Improved Multi-layer Compaction Method (IMCM) is proposed and applied to establish the Discrete Element Method (DEM) models with more reasonable initial stress states. Validation is then conducted by comparing the DEM results with experimental data. Second, detailed macro-behaviour (e.g., efficacy) and micro-behaviour (e.g., contact forces and fabric anisotropy) analyses are performed. Finally, parametric study is performed to identify the effects of two key factors, i.e., the stiffness of subsoil and the grain composition of embankment fill. Simulation results indicate that the strong force network (SN) serves as a load-carrying force chain, which is the main component of soil arching; while the weak force network (WN) acts as a support system. When a pile-supported embankment is high enough, the soil arching will experience three stages as the surcharge increases. In the first stage, the soil arching develops and its effect is strengthened gradually. In the second stage, the soil arching is fully mobilized and experiences a “forming-failure-reforming” process as the surcharge increases. While in the third stage, the embankment is unable to form a new stable soil arching and the efficacy decreases gradually. However, for the GRPS embankment, due to the reinforcement of geogrid, the third stage will not occur throughout the entire surcharge range of interest in this study. On the basis of the macro- and micro-results, the conclusion can be drawn that the presence of geogrid does not alter the failure mode of soil arching under the surcharge, though it is able to evidently improve the efficacy of load transfer and enhance the stability of soil arching.     

Comparison of two inverse analysis techniques for learning deep excavation response

Performance observation is a necessary part of the design and construction process in geotechnical engineering. For deep urban excavations, empirical and numerical methods are used to predict potential deformations and their impacts on surrounding structures. Two inverse analysis approaches are described and compared for an excavation project in downtown Chicago. The first approach is a parameter optimization approach based on genetic algorithm (GA). GA is a stochastic global search technique for optimizing an objective function with linear or non-linear constraints. The second approach, self-learning simulations (SelfSim), is an inverse analysis technique that combines finite element method, continuously evolving material models, and field measurements. The optimization based on genetic algorithm approach identifies material properties of an existing soil model, and SelfSim approach extracts the underlying soil behavior unconstrained by a specific assumption on soil constitutive behavior. The two inverse analysis approaches capture well lateral wall deflections and maximum surface settlements. The GA optimization approach tends to overpredict surface settlements at some distance from the excavation as it is constrained by a specific form of the material constitutive model (i.e. hardening soil model); while the surface settlements computed using SelfSim approach match the observed ones due to its ability to learn small strain non-linearity of soil implied in the measured settlements.     

土壤呼吸中根系与微生物呼吸的区分方法与应用

土壤呼吸中根系呼吸和微生物呼吸的区分在研究生态系统碳循环和土壤碳储量时具有重要意义。较系统地介绍了各种区分方法,主要包括成分综合法、生物量外推法、根去除法、同位素标记法等。现国内研究中使用生物量外推法较多,但其相关性较差。根去除法又可分为根移除法、挖沟隔离法和林隙法,由于是就地测定,其数据可信度较高。同位素标记法包括脉冲标记法和连续标记法,该方法避免了大的干扰,数据较准确,缺点在于设备复杂、操作困难、分析费用高。同时对各种方法的原理和应用进行了介绍。     

Mechanisms of pelleting flocculation

Basically speaking, flocculation and coagulation should be theoretically treated as a many-body problem. However, such potential energy theories of coagulation as the DLVO theory have been developed as a two-body problem, i.e., interaction between two plates or two particles in an infinite medium. The concept volume fraction of the constituent particles in the floc, i.e., voidage fraction in the floc is excluded from these theories and, therefore, the traditional theories are not applicable to the phenomenon of “pelleting flocculation”.In an effort to formulate a theory of flocculation that leads to pellet-like flocs, three possible mechanisms of flocculation process are involved, i.e., (1) perikinetic flocculation, (2) orthokinetic flocculation, and (3) an additional process of mechanical syneresis. A few hypotheses are also presented, which may become the prelude to a subsequent flocculation theory.     

土壤湿度观测、模拟和估算研究

总结土壤湿度的观测手段和土壤湿度数据集建立的现状,详细阐述与土壤湿度模拟有关的方程离散化求解、物理和生化过程、陆面过程模式比较和陆面模式参数优化等方面的研究进展;综述估算土壤湿度廓线的数据同化方法,仔细比较集合卡曼滤波(EnKF)和四维变分(4-D Var)2类目前流行的同化算法,并对估算土壤湿度廓线的研究工作进行全面评估;最后,对土壤湿度观测、模拟和同化中需继续努力的方向进行了思索和展望。     

A structured approach to enhance flood hazard assessment in mountain streams

An evidence-based flood hazard analysis in mountain streams requires the identification and the quantitative characterisation of multiple possible processes. These processes result from specific triggering mechanisms on the hillslopes (i.e. landslides, debris flows), in-channel morphodynamic processes associated with sudden bed changes and stochastic processes taking place at critical stream configurations (e.g. occlusion of bridges, failure of levees). From a hazard assessment perspective, such possible processes are related to considerable uncertainties underlying the hydrological cause-effect chains. Overcoming these uncertainties still remains a major challenge in hazard and risk assessment and represents a necessary condition for a reliable spatial representation of process intensities and the associated probabilities. As a result of an accurate analysis of the conceptual flaws present in the procedures currently employed for hazard mapping in South Tyrol (Italy) and Carinthia (Austria), we propose a structured approach as a means to enhance the integration of hillslope, morphodynamic and stochastic processes into conventional flood hazard prediction for mountain basins. To this aim, a functional distinction is introduced between prevailing one-dimensional and two-dimensional process propagation domains, i.e., between confined and semi- to unconfined stream segments. The former domains are mostly responsible for the generation of water, sediment and wood fluxes, and the latter are where flooding of inactive channel areas (i.e. alluvial fans, floodplains) can occur. For the 1D process propagation domain, we discuss how to carry out a process routing along the stream system and how to integrate numerical models output with expert judgement in order to derive consistent event scenarios, thus providing a consistent quantification of the input variables needed for the associated 2D domains. Within these latter domains, two main types of spatial sub-domains can be identified based on the predictability of their dynamics, i.e., stochastic and quasi-deterministic. Advantages and limitations offered by this methodology are finally discussed with respect to hazard and risk assessment in mountain basins.     

The impact of climate changes during the Holocene on vegetation in northern French Guiana

The impact of climatic changes that occurred during the last glacial maximum and the Holocene on vegetation changes in the Amazon Basin and the Guiana Shield are still widely debated. The aim of our study was to investigate whether major changes in vegetation (i.e. transitions between rainforests and C₄ savannas) occurred in northern French Guiana during the Holocene. We measured variations in the δ¹³C of soil organic matter at eight sites now occupied by forest or savannah. The forest sites were selected to cover two regions (forest refugia and peneplains) which are thought to have experienced different intensities of disturbance during the latest Pleistocene and the Holocene. We found that none of the forest sites underwent major disturbances during the Holocene, i.e. they were not replaced by C₄ savannahs or C₄ forest savannahs for long periods. Our results thus suggest that tropical rainforests in northern French Guiana were resilient to drier climatic conditions during the Holocene. Nevertheless, geographical and vertical variations in the ¹³C of SOM were compatible with minor changes in vegetation, variations in soil processes or in soil physical properties.     

Changes in soil physical and chemical properties during reversal of desertification in Yanchi County of Ningxia Hui autonomous region,China

Using field surveys and laboratory analysis, soil physical and chemical properties were studied at a site exhibiting the reversal of desertification in Yanchi County of China’s Ningxia Hui autonomous region. The dominant soil particle size changed from coarse-fine sand to a combination of very fine sand and silt + clay, and corresponding levels of each soil nutrient increased. The content of coarse-fine sand (2–0.1 mm) was significantly and negatively correlated with soil nutrient contents, whereas nutrient contents were significantly and positively correlated with the contents of very fine sand (0.1–0.05 mm) and silt + clay (<0.05 mm). The increasingly fine soil texture and the nutrient enrichment both facilitated rehabilitation of desertified land. The silt + clay content contributed the most to the increasing soil nutrient contents, and thus appears to be the key factor in reversal of desertification. Soil nutrient concentrations in the bulk soil increased with increasing content of soil nutrients with different particle fractions, and there were significant positive correlations between them. The nutrients in all particle size classes jointly decided the effect of soil nutrient contents on the reversal process. Principal-components analysis (PCA) revealed that the soil quality tended to increase during the reversal process, and that nutrient factors were more significant than particle size (i.e., were the dominant factor that influenced soil quality). Available nutrients and soil organic matter (SOM) were the most important nutrient factors. Silt + clay were the most important particle factors.     

Electrokinetic remediation of metal contaminated glacial tills

This paper presents the results of an experimental investigation which studied the feasibility of using the electrokinetic process to remediate contaminated clays of glacial origin, otherwise known as glacial tills. An overview of the electrokinetic phenomena, as well as previously performed laboratory and field investigations, is first presented. The methodology of the electrokinetic experiments which were conducted to investigate the removal of metals from a glacial till is then described. A total of 16 experiments were conducted using glacial till samples obtained from a project site near Chicago. Sodium and calcium were used as the surrogate cationic metallic contaminants. These experiments demonstrated that ion transport during the electrokinetic process occurs due to both electro-osmosis and electromigration, but that due to electromigration is significantly higher than that due to electro-osmosis. Unlike other clays such as kaolinite, the glacial till used for this investigation possessed high buffering capacity because of its high carbonate content which prevented the acid front migration from the anode to the cathode during the electrokinetic process. The ion removal efficiency of the electrokinetic process was found to increase when: (1) the voltage gradient applied to the soil was increased, (2) the initial concentration of the contaminants was increased, and (3) the duration of the treatment process was increased. The ion removal efficiency was also greater for smaller ions which possess less ionic charge and when the ions existed independently in the soil as compared to when they coexisted. This investigation suggests that the electrokinetic process has significant potential for remediating glacial tills contaminated with metals. However, the properties of Na and Ca are not representative of contaminants, such as heavy metals, so further investigations are needed.     

Geotechnical properties of a chemically stabilized soil from Malaysia with rice husk ash as an additive

Summary The stabilization of Malaysian soil by mixing with rice husk ash, a locally available waste material, to improve its engineering properties is described. Stabilizing agents, i.e. cement and lime, were added to produce the reaction products which are responsible for the enhancement of the engineering properties. Based on the strength development, it seems that lime is the more effective stabilizing agent. However, the cheap waste material can be used as partial replacement for the more expensive cement in the cement-treatment of the soil. A durability study was carried out to evaluate the effectiveness of this stabilization method.     

微地域搬运——碳酸盐岩红色风化壳形成过程的一种方式

由于差异溶蚀作用,由碳酸盐岩强烈风化形成的红色风化壳通常表现出独特的剖面构型:风化壳发育深厚、下伏基岩面强烈起伏波动、溶沟和石牙相间展布。以黔中岩溶台地之上发育的红色风化壳——平坝剖面为例,通过宏观地质、地球化学、粒度分析以及矿物学等方法,并以邻近的两个石灰土剖面(罗吏剖面和龙洞堡剖面)作对比,对碳酸盐岩红色风化壳的形成过程进行了讨论,论证了微地域搬运是碳酸盐岩红色风化壳尤其是厚层红色风化壳形成过程的一种方式。溶沟部位的风化壳,从风化前锋向上的一定深度范围内,为原位残积风化的产物(残积层);在此深度以上的部分,为地势较高的相邻石牙部位不同风化程度的残积物的搬运堆积(堆积层),也是导致风化指标随深度呈锯齿状波动的直接原因。后者一般组成剖面的主体。风化壳的年代地层学表现为,在残积层,从风化前锋向上,风化年龄由新到老;在堆积层,从下到上,风化年龄由老到新。风化前锋是一个重要的地球化学作用场所,在这一狭窄的界面上,伴随碳酸盐矿物的快速淋失,残余酸不溶物开始了明显分解。而风化壳的后期演化是一个缓慢而长期的过程。达到重力平衡的剖面(即风化壳表面平缓、不发生微地域搬运的剖面),在由表及里的风化作用下,从地表向下的一定深度范...     

Topographic controls on the depth distribution of soil CO2 in a small temperate watershed

Accurate measurements of soil CO₂ concentrations (pCO₂) are important for understanding carbonic acid reaction pathways for continental weathering and the global carbon (C) cycle. While there have been many studies of soil pCO₂, most sample or model only one, or at most a few, landscape positions and therefore do not account for complex topography. Here, we test the hypothesis that soil pCO₂ distribution can predictably vary with topographic position. We measured soil pCO₂ at the Susquehanna Shale Hills Critical Zone Observatory (SSHCZO), Pennsylvania, where controls on soil pCO₂ (e.g., depth, texture, porosity, and moisture) vary from ridge tops down to the valley floor, between planar slopes and slopes with convergent flow (i.e., swales), and between north and south-facing aspects. We quantified pCO₂ generally at 0.1–0.2 m depth intervals down to bedrock from 2008 to 2010 and in 2013. Of the variables tested, topographic position along catenas was the best predictor of soil pCO₂ because it controls soil depth, texture, porosity, and moisture, which govern soil CO₂ diffusive fluxes. The highest pCO₂ values were observed in the valley floor and swales where soils are deep (≥0.7 m) and wet, resulting in low CO₂ diffusion through soil profiles. In contrast, the ridge top and planar slope soils have lower pCO₂ because they are shallower (≤0.6 m) and drier, resulting in high CO₂ diffusion through soil profiles. Aspect was a minor predictor of soil pCO₂: the north (i.e., south-facing) swale generally had lower soil moisture content and pCO₂ than its south (i.e., north-facing) counterpart. Seasonally, we observed that while the timing of peak soil pCO₂ was similar across the watershed, the amplitude of the pCO₂ peak was higher in the deep soils due to more variable moisture content. The high pCO₂ observed in the deeper, wetter topographic positions could lower soil porewater pH by up to 1 pH unit compared to porewaters equilibrated with atmospheric CO₂ alone. CO₂ is generally the dominant acid driving weathering in soils: based on our observations, models of chemical weathering and CO₂ dynamics would be improved by including landscape controls on soil pCO₂.     

东升庙矿床成因和找矿研究——与张志斌等商榷

质疑了张志斌等（2010）一文关于东升庙－三贵口锌多金属硫铁矿矿床锌矿体和硫矿体的分类及其各类矿体形态、矿石结构构造和稀土配分模式等方面的依据以及一些论证过程,否定了其在此基础上提出的锌矿体为沉积形成矿源层,后期改造成矿的观点和其得出的下一步找矿方向。锌矿体主要有9号、2号、11号等6个矿体,硫矿体主要有1号、3号、4号等4个矿体。呈层状整合分布于石墨片岩中且和后者具有一致的稀土配分模式的9号和其他矿体一样都是沉积喷流过程的产物,其矿石结构也支持这一点。在东升庙－三贵口地区下一步的找矿方向应该是寻找下部的根部矿体。     

Assessment of soil erosion in a tropical mountain river basin of the southern Western Ghats,India using RUSLE and GIS

Revised Universal Soil Loss Equation(RUSLE) model coupled with transport limited sediment delivery(TLSD) function was used to predict the longtime average annual soil loss, and to identify the critical erosion-/deposition-prone areas in a tropical mountain river basin, viz., Muthirapuzha River Basin(MRB; area=271.75 km~2), in the southern Western Ghats, India. Mean gross soil erosion in MRB is 14.36 t ha~(-1) yr~(-1), whereas mean net soil erosion(i.e., gross erosion-deposition) is only 3.60 t ha~(-1) yr~(-1)(i.e., roughly 25% of the gross erosion). Majority of the basin area(~86%) experiences only slight erosion(5 t ha~(-1) yr~(-1)), and nearly 3% of the area functions as depositional environment for the eroded sediments(e.g., the terraces of stream reaches, the gentle plains as well as the foot slopes of the plateau scarps and the terrain with concordant summits). Although mean gross soil erosion rates in the natural vegetation belts are relatively higher, compared to agriculture, settlement/built-up areas and tea plantation, the sediment transport efficiency in agricultural areas and tea plantation is significantly high,reflecting the role of human activities on accelerated soil erosion. In MRB, on a mean basis, 0.42 t of soil organic carbon(SOC) content is being eroded per hectare annually, and SOC loss from the 4th order subbasins shows considerable differences, mainly due to the spatial variability in the gross soil erosion rates among the sub-basins. The quantitative results, on soil erosion and deposition, modelled using RUSLE and TLSD, are expected to be beneficial while formulating comprehensive land management strategies for reducing the extent of soil degradation in tropical mountain river basins.     

深部土高压卸载变形结构性量化参数确定及本构模型

用取自山东巨野矿区埋深300～600m的深部粘土样,在三轴伺服仪上进行原状和重塑土的高压三轴卸载试验,对比分析其变形特点;提出一种描述深部土高压卸载变形与强度连续变化的土结构性参数的方法,并根据三轴卸载试验结果,确定了巨野矿区深部土高压卸载变形结构性参数,建立了描述巨野矿区深部土高压卸载结构性本构模型。     

Effect of polypropylene fibre and lime admixture on engineering properties of clayey soil

In order to reduce the brittleness of soil stabilized by lime only, a recent study of a newly proposed mixture of polypropylene fibre and lime for ground improvement is described and reported in the paper. To investigate and understand the influence of the mixture of polypropylene fibre and lime on the engineering properties of a clayey soil, nine groups of treated soil specimens were prepared and tested at three different percentages of fibre content (i.e. 0.05%, 0.15%, 0.25% by weight of the parent soil) and three different percentages of lime (i.e. 2%, 5%, 8% by weight of the parent soil). These treated specimens were subjected to unconfined compression, direct shear, swelling and shrinkage tests. Through scanning electron microscopy (SEM) analysis of the specimens after shearing, the improving mechanisms of polypropylene fibre and lime in the soil were discussed and the observed test results were explained. It was found that fibre content, lime content and curing duration had significant influence on the engineering properties of the fibre–lime treated soil. An increase in lime content resulted in an initial increase followed by a slight decrease in unconfined compressive strength, cohesion and angle of internal friction of the clayey soil. On the other hand, an increase in lime content led to a reduction of swelling and shrinkage potential. However, an increase in fibre content caused an increase in strength and shrinkage potential but brought on the reduction of swelling potential. An increase in curing duration improved the unconfined compressive strength and shear strength parameters of the stabilized soil significantly. Based on the SEM analysis, it was found that the presence of fibre contributed to physical interaction between fibre and soil whereas the use of lime produced chemical reaction between lime and soil and changed soil fabric significantly.     

一种饱和粉质黏土的热固结特性试验研究

采用自行研制的温度控制固结试验装置对一种饱和粉质黏土的热固结特性进行室内试验。研究表明,在不同的有效固结压力作用下饱和试样的孔隙水压力变化趋势以及固结体应变变化趋势类似。在温度升高过程中,由温度导致的孔隙水压力不断增大,当温度达到设定温度时,试样内的孔隙水压力也达到峰值,而且随着有效固结压力的增大,孔隙水压力峰值似乎略有增大。此外,温度升高后的固结排水量远大于温度再降低后的吸水量,亦即经过升温和降温过程,试样总体产生明显的收缩变形。     

Thermal convection of soil air on hillsides

Although diffusion is usually considered to be the main transport process for volatile constituents in the unsaturated zone of soils and other surficial materials, an alternative process of thermally driven convection may be significant, especially on hillsides and over irregular bedrock. Convection in this mode is driven by buoyancy forces arising from differences in soil-air density in a temperature gradient. For bodies with sloping boundaries, the conventional Rayleigh criterion is not directly applicable, so that flow of air is possible in a wide variety of situations. Numerical simulations for several simple cases show that air convection is expected within relatively permeable materials such as sandy soils, gravel deposits, and talus on slopes.     

Generating soil thickness maps by means of geomorphological-empirical approach and random forest algorithm in Wanzhou County,Three Gorges Reservoir

Soil thickness, intended as depth to bedrock, is a key input parameter for many environmental models. Nevertheless, it is often difficult to obtain a reliable spatially exhaustive soil thickness map in wide-area applications, and existing prediction models have been extensively applied only to test sites with shallow soil depths. This study addresses this limitation by showing the results of an application to a section of Wanzhou County (Three Gorges Reservoir Area, China), where soil thickness varies from 0 to ～40 m. Two different approaches were used to derive soil thickness maps: a modified version of the geomorphologically indexed soil thickness (GIST) model, purposely customized to better account for the peculiar setting of the test site, and a regression performed with a machine learning algorithm, i.e., the random forest, combined with the geomorphological parameters of GIST (GIST-RF). Additionally, the errors of the two models were quantified, and validation with geophysical data was carried out. The results showed that the GIST model could not fully contend with the high spatial variability of soil thickness in the study area: the mean absolute error was 10.68 m with the root-mean-square error (RMSE) of 12.61 m, and the frequency distribution residuals showed a tendency toward underestimation. In contrast, GIST-RF returned a better performance with the mean absolute error of 3.52 m and RMSE of 4.56 m. The derived soil thickness map could be considered a critical fundamental input parameter for further analyses.