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The interpretation of secular Caspian Sea level records during the Holocene

机译:全新世期间里海世俗海平面记录的解释

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The Caspian Sea (CS) experienced significant changes during the Holocene. The standard deviation for Caspian Sea level (CSL) variations over that interval is estimated as sigma = 1.4 m. Based on well-established views, they were climate-induced variations. There are no clear links with the calendar of climatic anomalies, and climate models do not reproduce the changes. Therefore, the question about the origin of "secular" CSL fluctuations remains open. Based on general ideas about the laws of temporal dynamics relating to massive inertial objects, the observed slow changes of the CSL under the semi-steady climate state of the Holocene can be represented as resulting from the accumulation of small anomalies in the water regime, as a kind of "self-developing" system. To test this hypothesis, the model of the water balance of the CS was used. Time scale for the sea fluctuations was estimated as similar to 20 years. This model is interpreted as stochastic, and from this perspective, it is a Langevin equation that incorporates the action of precipitation and evaporation as random white noise, so that the whole can be thought of as an analogue of Brownian motion. Under these conditions, the CS is represented by a system undergoing random walk. Modeling results are interpreted from the probabilistic point of view, although the model is deterministically based on the physical law of conservation of water mass. The results showed that the CSL fluctuations under steady state conditions are characterized by sigma = 1.1 m, close to the empirical value. "Super-large" anomalies in CSL are not prohibited by the theory, but their development requires a correspondingly long time. However, during long periods of time, background conditions change, and uniformity of the Brownian process becomes disrupted. The origin of large transgressive/regressive stages can be different. For example, the low stand of the Enotaevkian Regression during the LGM was determined by a significant reduction in precipitation over the Volga River catchment and by a corresponding reduction in the volume of river runoff. Hence, based on modeling results, the possibility of "self-development" effects is not prohibited by the theory: there need not be any cause for specific level changes or shifts, merely the expected behavior of red noise processes. (C) 2015 Elsevier Ltd and INQUA. All rights reserved.
机译:全新世期间里海(CS)经历了重大变化。在该间隔内里海海平面(CSL)变化的标准偏差估计为sigma = 1.4 m。根据公认的观点,它们是气候引起的变化。与气候异常日历没有明确的联系,并且气候模型无法重现这些变化。因此,关于“长期” CSL波动起因的问题仍然悬而未决。基于关于与大惯性物体有关的时间动力学定律的一般思想,在全新世的半稳定气候状态下观测到的CSL缓慢变化可以表示为水态中小异常的积累,如一种“自我开发”的系统。为了验证该假设,使用了CS的水平衡模型。海浪波动的时间尺度估计约为20年。该模型被解释为是随机的,从这个角度来看,它是一个Langevin方程,其中将降水和蒸发的作用合并为随机的白噪声,因此可以将其视为布朗运动的类似物。在这些条件下,CS由经历随机游走的系统表示。尽管该模型是确定性地基于水量守恒的物理定律,但从概率的角度解释了建模结果。结果表明,稳态条件下的CSL波动特征为sigma = 1.1 m,接近经验值。该理论没有禁止CSL中的“超大”异常,但是它们的发展需要相应的长时间。但是,在很长一段时间内,背景条件会发生变化,布朗过程的均匀性会受到干扰。大的海侵/回归阶段的起源可能不同。例如,在LGM期间,Enotaevkian回归的低潮是由伏尔加河流域的降水显着减少以及河流径流量的相应减少所决定的。因此,基于建模结果,该理论并未禁止“自我发展”效应的可能性:特定电平变化或移位的任何原因都不需要,仅是红噪声过程的预期行为即可。 (C)2015 Elsevier Ltd和INQUA。版权所有。

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