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首页> 外文期刊>Hydrology and Earth System Sciences >Ecohydrology in Mediterranean areas: a numerical model to describe growing seasons out of phase with precipitations
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Ecohydrology in Mediterranean areas: a numerical model to describe growing seasons out of phase with precipitations

机译:地中海地区的生态水文:一个数值模型来描述生长季节与降水异相

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摘要

The probabilistic description of soil moisture dynamics is a relatively new topic in hydrology. The most common ecohydrological models start from a stochastic differential equation describing the soil water balance, where the unknown quantity, the soil moisture, depends both on spaces and time. Most of the solutions existing in literature are obtained in a probabilistic framework and under steady-state condition; even if this last condition allows the analytical handling of the problem, it has considerably simplified the same problem by subtracting generalities from it. The steady-state hypothesis, appears perfectly applicable in arid and semiarid climatic areas like those of African's or middle American's savannas, but it seems to be no more valid in areas with Mediterranean climate, where, notoriously, the wet season foregoes the growing season, recharging water into the soil. This moisture stored at the beginning of the growing season (known as soil moisture initial condition) has a great importance, especially for deep-rooted vegetation, by enabling survival in absence of rainfalls during the growing season and, however, keeping the water stress low during the first period of the same season. The aim of this paper is to analyze the soil moisture dynamics using a simple non-steady numerical ecohydrological model. The numerical model here proposed is able to reproduce soil moisture probability density function, obtained analytically in previous studies for different climates and soils in steady-state conditions; consequently it can be used to compute both the soil moisture time-profile and the vegetation static water stress time-profile in non-steady conditions. Here the differences between the steady-analytical and the non-steady numerical probability density functions are analyzed, showing how the proposed numerical model is able to capture the effects of winter recharge on the soil moisture. The dynamic water stress is also numerically evaluated, implicitly taking into account the soil moisture condition at the beginning of the growing season. It is also shown the role of different annual climatic parameterizations on the soil moisture probability density function and on the vegetation water stress evaluation. The proposed model is applied to a case study characteristic of Mediterranean climate: the watershed of Eleuterio in Sicily (Italy).
机译:土壤水分动力学的概率描述是水文学中一个相对较新的话题。最常见的生态水文模型从描述土壤水平衡的随机微分方程开始,未知量(土壤水分)取决于空间和时间。文献中存在的大多数解决方案都是在概率框架和稳态条件下获得的。即使最后一个条件允许对问题进行分析处理,通过从中减去一般性,它也已大大简化了同一问题。稳态假设似乎完全适用于干旱和半干旱的气候区域,例如非洲或中美洲的热带稀树草原,但在地中海气候的地区似乎不再有效,众所周知,在该地区,雨季已经放弃了生长期,将水补给土壤。在生长季节开始时存储的这种水分(称为土壤水分初始条件)具有极大的重要性,特别是对于根深蒂固的植被而言,它可以使生长季节在没有降雨的情况下生存下来,但是可以保持较低的水分胁迫在同一个季节的第一时间段。本文的目的是使用简单的非稳态数值生态水文模型分析土壤水分动力学。这里提出的数值模型能够重现土壤水分概率密度函数,该函数是在先前研究中针对稳态条件下不同气候和土壤的分析得出的;因此,它可以用于计算非稳态条件下的土壤水分时间分布和植被静态水分胁迫时间分布。在这里,分析了稳态解析和非稳态数值概率密度函数之间的差异,表明了所提出的数值模型如何能够捕获冬季补给对土壤水分的影响。还动态地评估了动态水分胁迫,隐含地考虑了生长季节开始时的土壤水分状况。它还显示了不同的年度气候参数化对土壤水分概率密度函数和植被水分胁迫评估的作用。所提出的模型应用于地中海气候的案例研究:西西里岛(意大利)的伊莱特里奥分水岭。

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