改进海拉尔河流域植被动态影响下的蒸散模拟研究

IF 4.3 3区 材料科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC ACS Applied Electronic Materials Pub Date : 2024-03-01 DOI:10.1016/j.jconhyd.2024.104324
Libo Wang , A. Yinglan , Guoqiang Wang , Baolin Xue
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引用次数: 0

摘要

在降水量小于 400 毫米的干旱和半干旱地区,蒸散量(ET)约占降水量的 80%,是流域的主要耗水量。然而,近年来的植被绿化将增加蒸散发,并通过影响根系中的土壤水分而加剧该地区的干旱。植被变化具有区域性和空间异质性,因此,为了描述植被动态下的蒸散发变化特征,有必要扩大蒸散发模拟的空间尺度。然而,广泛使用的蒸散发模拟模型,如 Shuttleworth-Wallace 模型(SW 模型),在反映垂直方向(即土壤深度)和水平方向(即植被动态)的直接和间接影响方面存在不足。根据实地取样和构建的结构方程模型(SEM),我们发现植被动态不仅直接影响蒸散量,还通过影响不同深度的土壤水分间接影响蒸散量。在此基础上,我们根据 SEM 的结果确定了草地植被带的加权系数分别为 0.85 和 0.15,林草交错带的加权系数分别为 0.3、0.15、0.20、0.25、0.10,森林植被带的加权系数分别为 0.20、0.55、0.25。在不同植被类型区定义了不同的土壤水分权重系数,改进后的 SW 模型称为 S-W-α。将模拟结果与实测数据进行比较,S-W-α 使该地区的蒸散发模拟精度提高了 33.92%,改进后的蒸散发空间趋势能够响应植被的动态变化。用改进的 S-W-α模型替换 "Block-wise use of TOPMODEL and Muskingum-Cunge method mode"(BTOP 模型)中的蒸散发模块,结果表明改进后的模型模拟精度提高了 25%,速率期和验证期的纳什值均高于 75%,实现了模型从点尺度向流域尺度的扩展。改进后的模型可为生态脆弱地区的蒸散模拟和生态系统健康管理提供技术支持。
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Improvement of evapotranspiration simulation study in the Hailar River basin under the influence of vegetation dynamics

In arid and semi-arid areas with <400 mm of precipitation, evapotranspiration (ET) accounts for about 80% of precipitation and is the main water consumer in the watershed. However, vegetation greening in recent years will increase ET and exacerbate the aridity of the area by affecting soil moisture in the root system. Vegetation changes are regional and spatially heterogeneous, therefore, in order to characterize ET changes under vegetation dynamics, it is necessary to expand the spatial scale of ET simulation. However, widely used evapotranspiration simulation models, such as the Shuttleworth-Wallace model (SW model), are deficient in reflecting the direct and indirect effects of vertical (i.e., soil depths) and horizontal (i.e., vegetation dynamics) directions. Based on field sampling and constructed structural equation model (SEM), we found that vegetation dynamics affect evapotranspiration not only directly, but also indirectly by affecting soil moisture at different depths. On this basis, we defined the weighting coefficients of 0.85 and 0.15 for grassland vegetation zones, 0.3, 0.15, 0.20, 0.25, 0.10 for forest-grass interspersed zones, and 0.20, 0.55, 0.25 for forested zones, respectively, based on the SEM results. Different soil moisture weighting coefficients were defined within different vegetation type zones and the improved SW model is called S-W-α. Comparing the simulation results with the measured data, S-W-α improved the ET simulation accuracy in this region by 33.92% and the improved ET spatial trend can respond to the dynamic changes of vegetation. Replacing the ET module in the Block-wise use of TOPMODEL and Muskingum-Cunge method mode (BTOP model) with the modified S-W-α, the results show that the simulation accuracy of the improved model is increased by 25%, and the Nash is higher than 75% for both the rate period and the validation period, which realizes the extension of the model from the point scale to the basin scale. The modified model may provide technical support for simulation of evapotranspiration and management of ecosystem health in ecologically fragile areas.

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