Seasonal variability in organic substances in surface and cave waters at Marengo Cave,Indiana

Water samples from forest soils and a shallow cave underlying them were collected for the hydrological year 1996–1997. The soil waters did not display much seasonal variability in concentrations of organic substances in them but the cave waters yielded distinct highest levels in the spring and autumn seasons. The important controls on the amount of organic substances reaching the cave are the seasonal fluctuation in volume of the percolation waters and the soil's ability to provide organic material for these waters. Fluorescence studies of the organic compounds isolated from these waters revealed shorter peak excitation and emission wavelengths for the cave waters than for the soil waters, a result of both differences in concentration and probably also of significant change in the proportional organic assemblages in the waters. Precipitation appears to affect the fluorescence in both waters, with the dry autumn producing the highest yields. Molecular size fractionation revealed how the larger hydrophobic compounds are preferentially removed from the water before it reaches the cave, with the consequence that the smaller hydrophilic compounds become the dominant fluorophore there. Copyright © 2000 John Wiley & Sons, Ltd.     

A peridotitic komatiite from the Dalradian of Shetland

Komatiite lavas occur in the Dunrossness Spilitic Group in southeast Shetland in the Cunningsburgh area. This metavolcanic group is the easternmost member of the East Mainland Succession of Shetland and probably the youngest. It overlies a thick succession of deep-water metasediments and metavolcanic rocks probably forming part of an extensional basin and has been correlated with a part of the upper Dalradian of Scotland. Komatiites are not common in rock sequences as young as this. Their eruption is thought to require tectonic and thermal conditions which have been unusual since Archean times. Such conditions could arise when the crust beneath an extensional basin splits to form a constructive margin.     

Effect of aerosol pollution on clouds and its dependence on precipitation intensity

In this study, simulations performed with a large-eddy resolving numerical model are used to examine the effect of aerosol on cumulus clouds, and how this effect varies with precipitation intensity. By systematically varying the surface moisture fluxes, the modeled precipitation rate is forced to change from weak to strong intensity. For each of these intensities, simulations of a high-aerosol case (a polluted case with a higher aerosol concentration) and a low-aerosol case (a clean case with a lower aerosol concentration) are performed. Whether or not precipitation and associated sub-cloud evaporation and convective available potential energy (CAPE) are large, liquid–water path (LWP) is larger in the high-aerosol case than in the low-aerosol case over the first two-thirds of the entire simulation period. In weak precipitation cases, reduction in aerosol content leads to changes in CAPE in the middle parts of cloud layers, which in turn induces larger LWP in the low-aerosol case over the last third of the simulation period. With strong precipitation, stronger stabilization of the sub-cloud layers in the low-aerosol case counters the CAPE changes in the middle parts of cloud layers, inducing smaller LWP in the low-aerosol case over the last third of the simulation period. The results highlight an interaction between aerosol effects on CAPE above cloud base and those in sub-cloud layers, and indicate the importance of a consideration of aerosol effects on CAPE above cloud base as well as those in sub-cloud layers. In the high-aerosol case, near the beginning of the simulation period, larger environmental CAPE does not necessarily lead to larger in-cloud CAPE and associated larger cloud intensity because aerosol-induced increase in cloud population enhances competition among clouds for the environmental CAPE. This demonstrates the importance of the consideration of cloud population for an improved parameterization of convective clouds in climate models.     

Statistical downscaling of historical monthly mean winds over a coastal region of complex terrain. I. Predicting wind speed

Surface wind speed is a key climatic variable of interest in many applications, including assessments of storm-related infrastructure damage and feasibility studies of wind power generation. In this work and a companion paper (van der Kamp et al. 2011), the relationship between local surface wind and large-scale climate variables was studied using multiple regression analysis. The analysis was performed using monthly mean station data from British Columbia, Canada and large-scale climate variables (predictors) from the NCEP-2 reanalysis over the period 1979–2006. Two regression-based methodologies were compared. The first relates the annual cycle of station wind speed to that of the large-scale predictors at the closest grid box to the station. It is shown that the relatively high correlation coefficients obtained with this method are attributable to the dominant influence of region-wide seasonality, and thus contain minimal information about local wind behaviour at the stations. The second method uses interannually varying data for individual months, aggregated into seasons, and is demonstrated to contain intrinsically local information about the surface winds. The dependence of local wind speed upon large-scale predictors over a much larger region surrounding the station was also explored, resulting in 2D maps of spatial correlations. The cross-validated explained variance using the interannual method was highest in autumn and winter, ranging from 30 to 70% at about a dozen stations in the region. Reasons for the limited predictive skill of the regressions and directions for future progress are reviewed.     

Interpretation of tensor gravity data using an adaptive tilt angle method

Full Tensor Gravity Gradiometry (FTG) data are routinely used in exploration programmes to evaluate and explore geological complexities hosting hydrocarbon and mineral resources. FTG data are typically used to map a host structure and locate target responses of interest using a myriad of imaging techniques. Identified anomalies of interest are then examined using 2D and 3D forward and inverse modelling methods for depth estimation. However, such methods tend to be time consuming and reliant on an independent constraint for clarification. This paper presents a semi‐automatic method to interpret FTG data using an adaptive tilt angle approach. The present method uses only the three vertical tensor components of the FTG data (T_zx, T_zy and T_zz) with a scale value that is related to the nature of the source (point anomaly or linear anomaly). With this adaptation, it is possible to estimate the location and depth of simple buried gravity sources such as point masses, line masses and vertical and horizontal thin sheets, provided that these sources exist in isolation and that the FTG data have been sufficiently filtered to minimize the influence of noise. Computation times are fast, producing plausible results of single solution depth estimates t hat relate directly to anomalies. For thick sheets, the method can resolve the thickness of these layers assuming the depth to the top is known from drilling or other independent geophysical data. We demonstrate the practical utility of the method using examples of FTG data acquired over the Vinton Salt Dome, Louisiana, USA and basalt flows in the Faeroe‐Shetland Basin, UK. A major benefit of the method is the ability to quickly construct depth maps. Such results are used to produce best estimate initial depth to source maps that can act as initial models for any detailed quantitative modelling exercises using 2D/3D forward/inverse modelling techniques.     

西天山达巴特A型花岗岩的形成时代与构造背景

达巴特花岗斑岩侵入体位于西天山北部的赛里木湖北部,构造上属于准葛尔板块与伊犁.中天山板块之间的造山带.达巴特花岗岩斑岩具有A型花岗岩的特征,如高硅(SiO2=75.38%～77.61%)、碱(Na2O K2O=8.26%～10.10%)和Fe/(Fe Mg)(0.91～0.98),但低Al2O3(12.04～12.9%)和CaO(0.03%～0.42%),富集Rb、Th、U等大离子亲石元素和Nb、Ta、zr、Hf等高场强元素,(Ga/Al)×104值变化于3.19～3.40之间,具有明显的负Eu、Ba和Sr异常,稀土配分显示"海鸥型"特征.达巴特花岗岩斑岩具有较高的Rb/Nb和Y/Nb比值,显示了A2型花岗岩的特征.LA-ICP-MS锆石U-Pb测年结果显示达巴特岩体的侵位年龄为288.9±2.3Ma,并且一些锆石具有老的核(319.0±4.7),暗示花岗岩斑的源岩中可能包含有石炭纪的岩浆岩.结合区域地质和岩浆岩资料,我们认为西天山早二叠世处于伸展的背景中,可能与造山带后碰撞阶段的演化有关.     

The formation of asteroid satellites in large impacts: results from numerical simulations

We present results of 161 numerical simulations of impacts into 100-km diameter asteroids, examining debris trajectories to search for the formation of bound satellite systems. Our simulations utilize a 3-dimensional smooth-particle hydrodynamics (SPH) code to model the impact between the colliding asteroids. The outcomes of the SPH models are handed off as the initial conditions for N-body simulations, which follow the trajectories of the ejecta fragments to search for the formation of satellite systems. Our results show that catastrophic and large-scale cratering collisions create numerous fragments whose trajectories can be changed by particle-particle interactions and by the reaccretion of material onto the remaining target body. Some impact debris can enter into orbit around the remaining target body, which is a gravitationally reaccreted rubble pile, to form a SMAshed Target Satellite (SMATS). Numerous smaller fragments escaping the largest remnant may have similar trajectories such that many become bound to one another, forming Escaping Ejecta Binaries (EEBs). Our simulations so far seem to be able to produce satellite systems qualitatively similar to observed systems in the main asteroid belt. We find that impacts of 34-km diameter projectiles striking at 3 km s⁻¹ at impact angles of ∼30° appear to be particularly efficient at producing relatively large satellites around the largest remnant as well as large numbers of modest-size binaries among their escaping ejecta.     

The pre‐settlement hydrology and vegetation of the northern adelaide plains and the progress of settlement and clearing during the nineteenth century

The Northern Adelaide Plains has developed into a major supplier of fresh vegetables for Adelaide. Unfortunately, overutilisation of the underground water supplies for irrigation is causing their depletion. As a management tool the Engineering and Water Supply Department has constructed a computer simulation of the aquifers. It was decided that reconstruction, from historical sources, of the pre‐settlement and early‐settlement hydrology would greatly facilitate the calibration and testing of the model. This is the purpose of the present study. In addition, insofar as vegetation is an indicator of the hydrological environment, an attempt has been made to reconstruct the original vegetation cover and then trace the progress of settlement and clearing. This study thus originated as an exercise in ‘applied historical geography’.