风力机在果园冠层诱导植物组织升温的综合大涡流模拟建模

IF 5.6 1区 农林科学 Q1 AGRONOMY Agricultural and Forest Meteorology Pub Date : 2024-07-30 DOI:10.1016/j.agrformet.2024.110175
Yi Dai , Antoon van Hooft , Edward G. Patton , Judith Boekee , Steven van der Linden , Marie-Claire ten Veldhuis , Bas J.H. van de Wiel
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引用次数: 0

摘要

农业部门越来越多地使用风力机械来减轻春季霜冻灾害。本研究通过准三维温度测量来量化风力机的增温效应(Dai 等人,2023 年),同时开发了一个数值模型来量化空气和植物组织的增温效应,并解决湍流旋转羽流和冠层结构之间的动态相互作用。我们在大涡流模拟中实施了一个综合模型,并根据实地观测结果对模型进行了验证。模拟结果与 Dai 等人(2023 年)在风力机运行过程中观察到的空气混合和升温效应非常吻合。模拟结果显示,由于直接喷流混合,风力发电机附近的空气和树叶明显变暖。在距离风力机 20 米以外(转子直径),虽然风速迅速下降,但升温是持续的,并随着距离的增加而逐渐减弱。这种持续变暖的现象没有直接的喷流混合,很可能是喷流夹带的暖空气平流的结果。受背景风的影响,暖空气向上游延伸了 150 米,向下游延伸了 550 米。当喷流与风向相反时,会形成会聚模式;当喷流与风向一致时,会形成波浪状的暖流羽流。在这些变暖区域内,由于强烈的湍流热交换,叶片温度紧跟空气温度。在增温区域外,辐射冷却占主导地位,使叶片与空气的温差恢复到大约 1 度。这些发现共同提供了关于诱导增温羽流与冠层内气流之间相互作用的新见解,并为优化风力机的运行部署提供了有用的工具。该综合模型以独特的方式全面、多过程地反映了果园中风力机运行的室外实际情况。
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Integrated large-eddy simulation for modeling plant-tissue warming induced by wind machines in an orchard canopy

Wind machines are increasingly used to mitigate spring frost damage in agricultural sectors. Complementing quasi-3D temperature measurements to quantify the warming effects of wind machines (Dai et al., 2023), this study develops a numerical model to quantify warming effects on air and plant tissues and resolve the dynamic interplay between turbulent rotating plumes and canopy structure. We implement an integrated model in a large-eddy simulation and validate the model against field observations. Simulation results show remarkable agreement with the air mixing and warming effects observed during wind machine operation in Dai et al. (2023). Simulation results reveal significant air and leaf warming near the wind machine due to direct jet-mixing. Beyond 20 m from the machine (34 rotor diameters), while wind velocities drop rapidly, the warming is sustained and gradually decreases over distance. This sustained warming, without direct jet mixing, likely results from the advection of jet-entrained warm air. The warming extends 150 m upstream and 550 m downstream, influenced by the background wind. This difference is attributed to the interaction between the machine-induced jet and the background wind, forming convergence patterns when jets oppose the wind and extended warming plumes in wave-like patterns when jets align with the wind. Cross-stream warming symmetrically extends about 250 m. Within these warming regions, leaf temperatures closely follow air temperatures due to strong turbulent heat exchanges. Outside the warming zone, radiative cooling prevails, bringing the leaf–air temperature difference back to approximately 1 degree. These findings collectively give new insights into interactions between the induced warming plumes and air flows within the canopy and provide a useful tool to optimize operational wind machine deployment. This integrated model uniquely provides a full, multi-process representation of outdoor reality with respect to wind machine operation in orchards.

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来源期刊
CiteScore
10.30
自引率
9.70%
发文量
415
审稿时长
69 days
期刊介绍: Agricultural and Forest Meteorology is an international journal for the publication of original articles and reviews on the inter-relationship between meteorology, agriculture, forestry, and natural ecosystems. Emphasis is on basic and applied scientific research relevant to practical problems in the field of plant and soil sciences, ecology and biogeochemistry as affected by weather as well as climate variability and change. Theoretical models should be tested against experimental data. Articles must appeal to an international audience. Special issues devoted to single topics are also published. Typical topics include canopy micrometeorology (e.g. canopy radiation transfer, turbulence near the ground, evapotranspiration, energy balance, fluxes of trace gases), micrometeorological instrumentation (e.g., sensors for trace gases, flux measurement instruments, radiation measurement techniques), aerobiology (e.g. the dispersion of pollen, spores, insects and pesticides), biometeorology (e.g. the effect of weather and climate on plant distribution, crop yield, water-use efficiency, and plant phenology), forest-fire/weather interactions, and feedbacks from vegetation to weather and the climate system.
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