Simulating oasis-desert interactions in artificial and natural oasis-desert areas: Integration of remote sensing data and CFD methodology

IF 5.7 1区 农林科学 Q1 AGRONOMY Agricultural and Forest Meteorology Pub Date : 2025-03-30 DOI:10.1016/j.agrformet.2025.110516
Zhixing Peng , Shaomin Liu , Rui Liu , Xinlei He , Jin Ma , Ziwei Xu , Ji Zhou , Dongxing Wu
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Abstract

The rapid expansion of oasis areas and seasonal water scarcity pose significant threats to the stability and maintenance of oases. Oases and deserts exhibit distinct dynamic and hydrothermal properties, resulting in oasis-desert interactions that help alleviate the situation. However, due to difficulties in adequately characterizing the high dynamic and thermal heterogeneities of the real oasis-desert underlying surface at a fine scale, previous studies usually focus on the simulation of ideal scenarios and coarse resolution, which limits further studies of oasis-desert interactions on real oasis-desert underlying surface. In this study, the high spatiotemporal resolution remotely sensed data, including leaf area density (LAD) and land surface temperature (LST), have been acquired to characterize the dynamic and thermal heterogeneities of the oasis-desert underlying surface at a fine scale, which then have been integrated into the improved computational fluid dynamics (CFD) model to simulate the wind speed (U), air temperature (T), and specific humidity (q) with high spatiotemporal resolution (30 m/1 hour) over artificial and natural oasis-desert areas located in the Heihe River Basin. The CFD simulations (U, T, and q) agree well with the observations, with mean bias errors of 0.3 (-0.1) m/s, 1.4 (1.2) °C, and -0.4 (0.1) g/kg, respectively, in the artificial (natural) oasis area. The background wind conditions and the hydrothermal difference between the oasis and desert strongly affect the oasis-desert interactions. Local circulation manifests in the artificial oasis under calm wind conditions, but it is absent in the natural oasis. The artificial oasis exhibit more pronounced micrometeorological effects than natural oasis. This study advances the understanding of oasis-desert interactions and the distinctions between artificial and natural oases, thereby providing valuable insights for promoting the stability and sustainable development of oases in the arid regions of Northwest China and along the Silk Road.
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模拟人工和天然绿洲-沙漠地区的绿洲-沙漠相互作用:遥感数据与 CFD 方法的整合
绿洲面积的迅速扩大和季节性缺水对绿洲的稳定和维持构成了重大威胁。绿洲和沙漠表现出独特的动力和热液特性,导致绿洲-沙漠相互作用,有助于缓解这种情况。然而,由于难以在精细尺度上充分表征真实绿洲-沙漠下垫面高度的动力和热非均质性,以往的研究通常集中在理想情景和粗分辨率的模拟上,这限制了在真实绿洲-沙漠下垫面上进一步研究绿洲-沙漠相互作用。本研究利用高时空分辨率遥感数据,包括叶面积密度(LAD)和地表温度(LST),在精细尺度上表征绿洲-沙漠下垫面动力和热非均质性,并将这些数据整合到改进的计算流体动力学(CFD)模型中,模拟风速(U)、气温(T)、高时空分辨率(30 m/1 h)的黑河流域人工绿洲-荒漠地区和天然绿洲-荒漠地区的比湿(q)。CFD模拟结果(U、T和q)与观测值吻合较好,人工绿洲(天然绿洲)区平均偏差分别为0.3 (-0.1)m/s、1.4(1.2)°C和-0.4 (0.1)g/kg。背景风条件和绿洲与沙漠热液差异对绿洲-沙漠相互作用有重要影响。在无风条件下,人工绿洲存在局地环流,而天然绿洲不存在局地环流。人工绿洲表现出比天然绿洲更明显的微气象效应。本研究有助于进一步认识绿洲与沙漠的相互作用以及人工绿洲与天然绿洲的区别,为促进西北干旱区和丝绸之路沿线绿洲的稳定与可持续发展提供有价值的见解。
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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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