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Stalagmite growth and palaeo-climate: the numerical perspective

机译:石笋生长与古气候:数值研究

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摘要

The growth of stalagmites can be approximated by a simple mathematical model, which depends on growth rate and equilibrium radius. These two parameters are controlled by th climate. temperature variations derived from ice and deep-sea core data, together with models for changes in precipitation and soil cover, are used to derive stalagmite stratigraphies, which reflect the palaeo-climate variations imposed. In general, stalagmite growth is strongly correlated to temperature and the amount of carbon dioxide available in the soil. Furthermore, precipitation is correlated to the stalagmite diameter. However, several assumptions need to be made: (i) A functional relationship between temperature on the one hand and precipitation and soil cover on the other needs to be established. (ii) The kinetics of calcite dissolution and precipitation needs to be assigned, either under soil and epikarst conditions open to the atmosphere or under fractured rock conditions closed from the atmosphere. These assumptions are difficult to access atmosphere or under fractured rock conditions closed from the atmosphere.d these assumptions are difficult to access from field data, and therefore a stalagmite stratigraphy can be ambiguous and not easily converted back into an unknown palaeo-climate signal.
机译:石笋的生长可以通过简单的数学模型来近似,该数学模型取决于生长速率和平衡半径。这两个参数受气候控制。由冰和深海核心数据得出的温度变化,以及降水和土壤覆盖率变化的模型,可用于得出石笋地层,反映了所施加的古气候变化。通常,石笋的生长与温度和土壤中可用的二氧化碳量密切相关。此外,降水与石笋直径有关。但是,需要做几个假设:(i)需要建立一方面温度与另一方面降水和土壤覆盖之间的函数关系。 (ii)在土壤和表岩溶向大气开放的条件下或在与大气隔离的裂隙岩石条件下,需要确定方解石溶解和沉淀的动力学。这些假设很难进入大气层或在与大气隔离的裂隙岩石条件下很难获得。d这些假设很难从现场数据获得,因此,石笋地层可能是模棱两可的,并且不容易转换回未知的古气候信号。

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