石英标准生长曲线在青藏高原东缘黄土光释光测年中的应用

石英标准生长曲线（SGC）法在黄土高分辨率光释光定年中有大幅节省测试时间的潜力,然而目前对该方法在不同时空尺度上的适用性尚存在争议。本文选取青藏高原东缘的典型黄土样品,通过系统地分析石英光释光生长曲线特征,检验SGC法和最小二乘法标准化生长曲线（LS-SGC）法在高原东缘黄土光释光定年中的适用性,结果显示：1）高原东缘黄土石英光释光信号以快组分为主,且同一地点不同样品、不同测片的生长曲线形态相似;2）当等效剂量（D_e）小于100 Gy时,不同地点样品石英生长曲线形态一致;大于100 Gy时生长曲线则具有不同的剂量响应特征;3）通过SGC法获得的D_e仅在0~100 Gy与实测值一致;LS-SGC法拟合的生长曲线结果更佳,并且LS-SGC法计算的D_e在100~200 Gy与实测D_e仍具有较好的一致性。研究结果有助于深入研究高原黄土光释光测年和风成沉积过程,同时也可为其他区域建立石英光释光标准生长曲线提供借鉴。

     

长江下游南漪湖沉积记录的全新世以来温度变化

了解全新世的温度变化能为理解目前日益突出的全球变暖、评估未来全球气候变化给出重要的参考。在这项研究中,基于长江下游南漪湖沉积岩芯深度为0~450cm中161个样品的brGDGTs代用指标,对过去12.0ka的大气温度进行重建,以进一步深化对全新世温度变化的理解。发现湖泊周边土壤与湖泊沉积物brGDGTs分子组成存在显著差异：土壤以brGDGTs-Ⅰ系列为主,占到总比重的80%以上,计算得的MBT'_5ME平均值为0.81;湖泊表层和柱状沉积物的brGDGTs分子组成更相似,其brGDGT-Ⅰ和brGDGT-Ⅱ分别为43%、48%和62%、35%,对应的MBT'_5ME平均值分别为0.44和0.62,因此认为湖泊沉积物brGDGTs主要为自生来源,进而选用基于MBT'_5ME的湖泊温度经验计算式进行古温度的重建。重建的南漪湖年均大气温度自12.0 ka B.P.以来变化范围为13.8~22.4℃,根据变化趋势,可以分为4个阶段：①阶段,早全新世（约12.0~8.2 ka B.P.）,温度变化范围为15.1~20.6℃,属低温阶段;②阶段,中全新世（约8.2~6.0 ka B.P.）,温度为16.8~20.0℃,为稳定高温阶段;③阶段,中晚全新世（约6.0~3.0 ka B.P.）,温度为13.8~19.4℃,快速降温阶段;④阶段,晚全新世（约3.0 ka B.P.以来）,温度在17.4~22.4℃,快速升温阶段。通过对比其他古气候记录,可以得到以下结论：长江下游地区在约12.0~8.2 ka B.P.时期温度变化主要受高纬度冰川残留的影响,为低温时期;在约8.2~6.0 ka B.P.时期的温度变化主要受到较强的太阳辐射量控制,属稳定高温期,对应全新世大暖期;约6.0 ka B.P.后,温度受到6.0~3.0 ka B.P.中低纬度冷事件以及上升温室气体辐射强迫共同影响,呈现先降后升的"V"型变化趋势。本研究表明长江下游地区自12.0 ka B.P.以来温度变化主要受全球温度变化控制,自晚全新世以来温室气体辐射强迫是影响其温度变化的主要因素。

     

Piecewise prediction model for watershed‐scale erosion and sediment yield of individual rainfall events on the Loess Plateau,China

Establishing a universal watershed‐scale erosion and sediment yield prediction model represents a frontier field in erosion and soil/water conservation. The research presented here was conducted on the Chabagou watershed, which is located in the first sub‐region of the hill‐gully area of the Loess Plateau, China. A back‐propagation artificial neural model for watershed‐scale erosion and sediment yield was established, with the accuracy of the model, then compared with that of multiple linear regression. The sensitivity degree of various factors to erosion and sediment yield was quantitatively analysed using the default factor test. On the basis of the sensitive factors and the fractal information dimension, the piecewise prediction model for erosion and sediment yield of individual rainfall events was established and further verified. The results revealed the back‐propagation artificial neural network model to perform better than the multiple linear regression model in terms of predicting the erosion modulus, with the former able to effectively characterize dynamic changes in sediment yield under comprehensive factor conditions. The sensitivity of runoff erosion power and runoff depth to the erosion and sediment yield associated with individual rainfall events was found to be related to the complexity of surface topography. The characteristics of such a hydrological response are thus closely related to topography. When the fractal information dimension is greater than the topographic threshold, the accuracy of prediction using runoff erosion power is higher than that of using runoff depth. In contrast, when the fractal information dimension is smaller than the topographic threshold, the accuracy of prediction using runoff depth is higher than that of using runoff erosion power. The developed piecewise prediction model for watershed‐scale erosion and sediment yield of individual rainfall events, which introduces runoff erosion power and runoff depth using the fractal information dimension as a boundary, can be considered feasible and reliable and has a high prediction accuracy. Copyright © 2013 John Wiley & Sons, Ltd.     

Balancing trade‐off issues in land use change and the impact on streamflow and salinity management

The south‐west region of the Goulburn–Broken catchment in the south‐eastern Murray–Darling Basin in Australia faces a range of natural resource challenges. A balanced strategy is required to achieve the contrasting objectives of remediation of land salinization and reducing salt export, while maintaining water supply security to satisfy human consumption and support ecosystems. This study linked the Catchment Analysis Tool (CAT), comprising a suite of farming system models, to the catchment‐scale CATNode hydrological model to investigate the effects of land use change and climate variation on catchment streamflow and salt export. The modelling explored and contrasted the impacts of a series of different revegetation and climate scenarios. The results indicated that targeted revegetation to only satisfy biodiversity outcomes within a catchment is unlikely to have much greater impact on streamflow and salt load in comparison with simple random plantings. Additionally, the results also indicated that revegetation to achieve salt export reduction can effectively reduce salt export while having a disproportionately smaller affect on streamflows. Furthermore, streamflow declines can be minimized by targeting revegetation activities without significantly altering salt export. The study also found that climate change scenarios will have an equal if not more significant impact on these issues over the next 70 years. Uncertainty in CATNode streamflow predictions was investigated because of the effect of parameter uncertainty. Copyright © 2012 John Wiley & Sons, Ltd.     

Influence of heterogeneity on unsaturated hydraulic properties: (1) local heterogeneity and scale effect

Spatial heterogeneity is ubiquitous in nature, which may significantly affect the soil hydraulic property curves. The models of a closed‐form functional relationship of soil hydraulic property curves (e.g. VG model or exponential model) are valid at point or local scale based on a point‐scale hydrological process, but how do scale effects of heterogeneity have an influence on the parameters of these models when the models are used in a larger scale process? This paper uses a two‐dimensional variably saturated flow and solute transport finite element model (VSAFT2) to simulate variations of pressure and moisture content in the soil flume under a constant head boundary condition. By changing different numerical simulation block sizes, a quantitative evaluation of parameter variations in the VG model, resulting from the scale effects, is presented. Results show that the parameters of soil hydraulic properties are independent of scale in homogeneous media. Parameters of α and n in homogeneous media, which are estimated by using the unsaturated hydraulic conductivity curve (UHC) or the soil water retention curve (WRC), are identical. Variations of local heterogeneities strongly affect the soil hydraulic properties, and the scale affects the results of the parameter estimations when numerical experiments are conducted. Furthermore, the discrepancy of each curve becomes considerable when moisture content becomes closer to a dry situation. Parameters estimated by UHC are totally different from the ones estimated by WRC. Copyright © 2012 John Wiley & Sons, Ltd.     

Geophysical constraints on mesozoic disruption of North China Craton by underplating‐triggered lower‐crust flow of the Archaean lithosphere

The mechanism of the disruption, both lithospheric thinning and oceanization of the commonly accepted long‐term‐stable Archaean craton, is still an open question. The available models, all imply a bottom to top process. With the construction of a 1660‐km‐long transect across the eastern North China Craton (NCC), we demonstrate that both the P‐wave velocity and density in the lowermost crust beneath the central section are significantly higher than in the corresponding parts of the south and north sections on the transect. These features are interpreted as geophysical signature of lower crustal underplating, which supplies sufficiently high gravitational potential energy to trigger lateral flow of the lower crust. This magma underplating‐triggered bilateral lower crust flow may facilitate the lithospheric thinning by means of asthenosphere upwelling and decompression melting, which infill the gap produced by the lower crust flow. The underplating‐triggered lower crustal flow can provide an alternative mechanism to explain the NCC lithosphere disruption, which highlights the crustal feedback to Archaean lithosphere disruption, from top to bottom.     

钟姑地区典型矿床的重磁找矿模式

钟姑地区位于宁芜中生代火山岩盆地南段,已发现有白象山铁矿等多个大型铁矿,是长江中下游成矿带以玢岩型铁矿为主的矿集区。本文以钟姑地区实测岩石物性参数为桥梁,以实测重磁数据为基础,分析了该区白象山铁矿、钟九铁矿和云楼铁矿的重磁场分布特征,并根据典型矿区已知地质条件,运用成熟的2.5D重磁联合反演技术进行计算,从定量角度认识铁矿体深部发育形态、位置与重磁异常之间对应关系,建立钟姑地区白象山铁矿等典型矿床的重磁找矿模式,为该区进一步找矿突破提供地球物理场信息。