Simulating the vertical transition of soil textural layers in north-western China with a Markov chain model

Simulating the vertical transition of soil textural layers in north-western China with a Markov chain model
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用马尔可夫链模型模拟西北地区土壤结构层的垂直变迁

DOI:
10.1071/sr12332
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发表时间:
2013-07
期刊:
影响因子:
1.6
通讯作者:
Shao, Ming'an
Shao, Ming'an
中科院分区:
农林科学4区
文献类型:
--
作者:
Li, Danfeng;Shao, Ming'an

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土壤剖面纹理的异质性对于量化水和溶质在土壤中的运动非常重要。在绿洲与大面积沙漠和湿地共存的黑河水系中部地区100km 2 区域内的100个地点进行了300cm深度的土壤剖面纹理调查。纹理层厚度的概率分布被量化。土壤质地层的垂直转变通过基于一种质地类型转变为另一种质地类型的概率的马尔可夫链对数正态分布(MC-LN)模型来表征。观察到九种类型的结构层:砂土、壤质砂土、砂壤土、粉砂壤土、壤土、粘壤土、粉质粘壤土、粉质粘土和粘土。剖面中最常见的是沙子,而粉质壤土和粘土则很少见。砂层和粉质粘土层相对较厚,壤土层和粘土层相对较薄。变异系数范围为 36-87%,表明每种纹理类型的层厚度存在中等变异。土壤剖面的特征为对数正态分布。 c 2 试验验证了马尔可夫特性和土壤结构层垂直变化的稳定性。土壤质地剖面的实现是由 MC-LN 模型生成的。蒙特卡罗模拟表明,每种结构类型的模拟平均层厚度与相应的现场观察结果吻合良好。 MC-LN模型模拟的结构层转移概率矩阵的元素值与测量值的偏差<12.6%,不包括粘土层和粉质壤土层的数据。研究区上下结构层组合主要为壤质砂与砂(或砂壤土)、砂壤土与砂(或壤质砂与壤土)、壤土与粘壤土、粘壤土(或粉质粘土)与粉质粘壤土、粉质粘壤土与粉质粘土。 MC-LN 模型能够准确量化土壤剖面纹理的垂直变化。这项研究将有助于量化具有土壤结构层垂直异质性的土壤中的水和溶质运输。
The heterogeneity of textures in soil profiles is important for quantifying the movement of water and solutes through soil. Soil-profile textures to a depth of 300cm were investigated at 100 sites in a 100-km 2 area in the central region of the Heihe River system, where oases coexist with widespread deserts and wetland. The probability distribution of textural-layer thickness was quantified. The vertical transition of the soil textural layers was characterised by a Markov chain-log-normal distribution (MC-LN) model based on the probability of one textural type transitioning to another. Nine types of textural layers were observed: sand, loamy sand, sandy loam, silt loam, loam, clay loam, silty clay loam, silty clay, and clay. Sand was the most frequent in the profiles, whereas silt loam and clay were rare. The layers of sand and silty clay were relatively thick, and the layers of loam and clay were relatively thin. The coefficients of variation ranged from 36-87%, indicating moderate variation in the layer thickness of each textural type. The soil profile was characterised as a log-normal distribution. A c 2 test verified the Markov characteristic and the stability of the vertical change of soil textural layers. Realisations of the soil textural profiles were generated by the MC-LN model. A Monte Carlo simulation indicated that the simulated mean layer thickness of each textural type agreed well with the corresponding field observations. Element values of the transition probability matrix of the textural layers simulated by the MC-LN model deviated <12.6% from the measured values, excluding the data from the layers of clay and silt loam. The main combinations of upper to lower textural layers in the study area were loamy sand and sand (or sandy loam), sandy loam and sand (or loamy sand and loam), loam and clay loam, clay loam (or silty clay) and silty clay loam, and silty clay loam and silty clay. The MC-LN model was able to accurately quantify the vertical changes of textures in the soil profiles. This study will aid in quantification of water and solute transport in soils with vertical heterogeneity of soil textural layers.
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