CAJ | 학술논문

计算流体动力学方法是目前风场空间格局模拟的主要方法之一，该方法由于受到软硬件局限，多应用于小尺度的风场模拟及分析。该方法精确程度极大地依赖于3D建模的精细程度和迭代计算模型的准确程度，与现实风场的发育过程存在明显差异。而随着物联网技术的发展，我们可通过大量的现场传感器进行风场数据的实时采集，为风场动态实时化模拟提供精确的参数。为了确定风场动态实时化模拟的最佳方法，本文以中国科学院城市环境研究所园区内32个风场传感器的月平均风速数据为研究案例，综合分析了反距离权重插值、全局多项式插值、局域多项式插值、径向基函数插值、最近邻域法插值、普通克里格插值6种空间插值方法，并采用交叉验证的方法对插值结果进行比较。结果表明，反距离权重插值在模拟的误差范围、模拟的准确度、反映极值的能力上优于其他5种方法，为1：500尺度的风场空间格局模拟提供了参考。
계산류체동역학방법시목전풍장공간격국모의적주요방법지일，해방법유우수도연경건국한，다응용우소척도적풍장모의급분석。해방법정학정도겁대지의뢰우3D건모적정세정도화질대계산모형적준학정도，여현실풍장적발육과정존재명현차이。이수착물련망기술적발전，아문가통과대량적현장전감기진행풍장수거적실시채집，위풍장동태실시화모의제공정학적삼수。위료학정풍장동태실시화모의적최가방법，본문이중국과학원성시배경연구소완구내32개풍장전감기적월평균풍속수거위연구안례，종합분석료반거리권중삽치、전국다항식삽치、국역다항식삽치、경향기함수삽치、최근린역법삽치、보통극리격삽치6충공간삽치방법，병채용교차험증적방법대삽치결과진행비교。결과표명，반거리권중삽치재모의적오차범위、모의적준학도、반영겁치적능력상우우기타5충방법，위1：500척도적풍장공간격국모의제공료삼고。
The computational fluid dynamics (CFD) method is one of the major ways of wind fields patial pat-tern simulation at present. This method is more often applied to wind field simulations and analyses on small scales because of the limitations of the hardware and software. Meanwhile, the precision and accuracy of this method depends on the precision of 3D building model sand the accuracy of iterated computation models, and there are significant differences existing between the simulation results and the real wind field situation. With the development of Internet of Things (IoT) technology, we can provide precise parameters to real-time simulation of regional wind fields pace distribution, by using a large number of real-time field sensor nodes. Spatial interpo-lation can be used to simulate the spatial distribution of all the regional environment factors. In order to deter-mine the optimal method for real-time wind fields imulation, this research took the monthly average wind speed data of November, 2011, which are collected from 32 wind speed sensors in Institute of Urban Environment, CAS, as the example. Then, we make a comprehensive analysis of Inverse Distance Weight method, Global Poly-nomial method, Local Polynomial method, Radial Basis Function method, Nearest Neighbor method and Ordi-nary Kriging method, and compare the results of the six different methods by Cross-Validation. The result shows that the Inverse Distance Weight method is better than the other methods in the simulation error range, the simu-lation accuracy and the ability to reflect extreme value, which provides a reference for wind field simulation on small scales.