Analysis on wind characteristics under the complex terrain based on the observation and simulation

风速 地形 气象学 天气研究与预报模式 山脊 激光雷达 风梯度 风廓线幂律 地质学 最大持续风 风向 盛行風 高原(数学) 环境科学 地理 遥感 数学 古生物学 数学分析 地图学
作者
Rongwei Liao,Xinxin Ma,Yuzhou Zhu,Xiaoyi Fang,Lei Zhang,Fanchao Meng
标识
DOI:10.1117/12.2643476
摘要

Extreme wind event is one of the major natural disasters in complex terrain areas, and it is also an important factor to be considered in construction projects in different regions. In order to analyze the simulation ability of numerical model during a synoptic process under the complex terrain in the Tibetan Plateau, the wind data observed from the wind lidar observation system and the high-resolution numerical model data simulated by WRF model were be used in this study. The statistical analysis methods was used to investigate the horizontal distribution characteristics of the wind around the observation point (OP) region in detail. The results show that the time series of wind observation data between the different heights in the near-surface boundary layer have well consistency, the correlation coefficients are 0.9777, 0.9856, and 0.9436. The simulated wind is flowed from the mountain ridge to the mountain valley around the OP region. The strong wind may occur when the southerly air flow prevails around the OP region, on the contrary, the strong wind may not occur when the westerly air flow prevails. The differences of the maximum wind speed between simulation and observation are large at 40 m height and small at 160 m height, while the differences of the minimum wind speed are small at 40 m height and large at 160 m height. There is a significantly correlated between observed and simulated wind speed, and the correlation coefficient are 0.3089 at 40 m height, 0.3063 at 100 m height, and 0.2522 at 160 m height. The model can be used to study the wind characteristics under the complex terrain where the lack of observation stations. The observation data and analysis results are expected to be useful for the wind-resistant design of construction projects under the complex terrain regions.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
Ava应助科研通管家采纳,获得10
刚刚
Hello应助科研通管家采纳,获得10
刚刚
1秒前
上官若男应助科研通管家采纳,获得10
1秒前
cdercder应助Lws1125采纳,获得10
1秒前
fla应助科研通管家采纳,获得10
1秒前
1秒前
1秒前
ddd应助科研通管家采纳,获得10
1秒前
共享精神应助科研通管家采纳,获得10
2秒前
Lucas应助科研通管家采纳,获得10
2秒前
2秒前
2秒前
小二郎应助科研通管家采纳,获得10
2秒前
Ava应助科研通管家采纳,获得10
2秒前
2秒前
李健应助科研通管家采纳,获得10
2秒前
番茄发布了新的文献求助10
3秒前
3秒前
星之宇痕发布了新的文献求助10
3秒前
虚拟的易文应助风-FBDD采纳,获得10
3秒前
无花果应助陈陈采纳,获得10
3秒前
听见完成签到,获得积分10
5秒前
HB发布了新的文献求助10
6秒前
在水一方应助amy采纳,获得10
6秒前
punch完成签到,获得积分10
6秒前
Linkkk完成签到,获得积分10
6秒前
7秒前
7秒前
高菲发布了新的文献求助10
7秒前
123发布了新的文献求助10
8秒前
悲伤土豆发布了新的文献求助30
10秒前
炎星语完成签到,获得积分10
11秒前
一杯加柠发布了新的文献求助10
11秒前
正直的乐安完成签到,获得积分10
11秒前
Oliver发布了新的文献求助10
11秒前
脑洞疼应助闪闪奇迹采纳,获得10
12秒前
14秒前
15秒前
wwwk发布了新的文献求助20
16秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Römisch-Germanische Forschungen 1000
APA handbook of comparative psychology: Basic concepts, methods, neural substrate, and behavior 1000
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
The fast track to determining transfer functions of linear circuits: The student guide 500
Electric machines: theory, operating applications, and controls 500
The Analytical and Numerical Solution of Electric and Magnetic Fields 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7603878
求助须知:如何正确求助?哪些是违规求助? 9179678
关于积分的说明 19659628
捐赠科研通 7178973
什么是DOI,文献DOI怎么找? 3269212
关于科研通互助平台的介绍 2433325
邀请新用户注册赠送积分活动 2263229