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美国大陆河流颗粒物的地球化学:主要元素

The geochemistry of river particulates from the continental USA: major elements.

作者信息

Canfield D E

机构信息

Institute of Biological Sciences, Odense University, Denmark.

出版信息

Geochim Cosmochim Acta. 1997 Aug;61(16):3349-65. doi: 10.1016/s0016-7037(97)00172-5.

Abstract

River particulates have been collected from twenty-three rivers from throughout the continental USA. The rivers drain mostly large basins (basin areas range from 2.1 x 10(3) to 2970 x 10(3) km2) composed of mixed lithologies, and spanning a wide range of climatic conditions as evidenced by a large variation in air and ground water temperatures, precipitation, and runoff. Suspended particulates have been analyzed for organic and inorganic carbon, as well as the major elements Al, Fe, Mn, K, Si, Ca, Mg, and Na. Also determined were suspended sediment loads at the time of sampling, particle surface areas, and grain size distributions. Five-year average river water chemistry and suspended sediment concentrations, obtained from USGS water supply reports, are also included as supporting information. Particle chemistry systematically varies with rates of runoff, with high runoff rivers transporting the most heavily altered particulates and low runoff rivers carrying the least altered. Degrees of alteration are indicated by the extent to which the refractory, nonmobile elements Al and Fe are concentrated into the particulates and the extent to which the most easily weathered elements Na, Ca, and Mg have been leached. Overall, the susceptibility of elements towards leaching is consistent with numerous previous descriptions of element mobility on weathering. A simple predictive model has been developed to explore and explain the observed trends between particle composition and river runoff. Thus, the elemental composition of riverine particulates may be given by the expression PCOi = [(Propi)TM-DCOi]/SS, where PCOi is the concentration of element i (as the oxide) in a riverine particulate, Propi is the proportion of i (as the oxide) in unweathered rock, DCOi is the dissolved concentration of i (as the equivalent oxide), TM is the total rock derived mass dissolved in river water, and SS is suspended sediment concentration. To utilize this equation, a model was first developed to predict the concentration of river solutes with the input of temperature, precipitation, and a limited number of weathering parameters. Combining this solute model with the above predictive equation for particle composition, it was discovered that the observed trends between particle composition and runoff require the special circumstance of decreasing SS with increasing runoff. Hence, the composition of river particulates depends both on the climate parameters of runoff and temperature (as they control dissolved river chemistry) and the nonclimate parameters including elevation, relief, tectonics, and basin area that control the SS load of rivers.

摘要

已从美国大陆各地的23条河流中采集了河流颗粒物。这些河流大多流经大型流域(流域面积从2.1×10³至2970×10³平方公里),流域岩石类型多样,气候条件差异很大,空气和地下水温度、降水量及径流量变化显著。已对悬浮颗粒物的有机碳、无机碳以及主要元素铝、铁、锰、钾、硅、钙、镁和钠进行了分析。还测定了采样时的悬浮泥沙负荷、颗粒表面积和粒度分布。从美国地质调查局供水报告中获取的五年平均河水化学性质和悬浮泥沙浓度也作为辅助信息纳入其中。颗粒物化学性质随径流速率系统变化,高径流河流输送的颗粒物变化程度最大,低径流河流携带的颗粒物变化程度最小。变化程度通过难熔、不可移动元素铝和铁在颗粒物中的富集程度以及最易风化元素钠、钙和镁的淋溶程度来表示。总体而言,元素的淋溶敏感性与先前众多关于风化过程中元素迁移性的描述一致。已开发出一个简单的预测模型来探索和解释观察到的颗粒物组成与河流径流之间的趋势。因此,河流颗粒物的元素组成可用表达式PCOi = [(Propi)TM - DCOi]/SS来表示,其中PCOi是河流颗粒物中元素i(以氧化物形式)的浓度,Propi是未风化岩石中i(以氧化物形式)的比例,DCOi是i(以等效氧化物形式)的溶解浓度,TM是溶解于河水中的源自岩石的总质量,SS是悬浮泥沙浓度。为应用此方程,首先开发了一个模型,通过输入温度、降水量和有限数量的风化参数来预测河流水溶质浓度。将此溶质模型与上述颗粒物组成预测方程相结合,发现观察到的颗粒物组成与径流之间的趋势需要在径流增加时悬浮泥沙浓度降低这一特殊情况。因此,河流颗粒物的组成既取决于径流和温度的气候参数(因为它们控制着溶解的河水化学性质),也取决于控制河流悬浮泥沙负荷的非气候参数,包括海拔、地形起伏、构造和流域面积。

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