Observation and Analysis of Characteristics of Wind and Air Temperature in Low Altitude Level in Panjin Wetland in Autumn and Winter

DOI

10.2991/ammsa-17.2017.48How to use a DOI?

Keywords

panjin wetland; low altitude sounding; wind and air temperature characteristics; observation and analysis

Abstract

Based on the low altitude observation data of Panjin wetland during the typical period from November 10 to 20, 2015, the characteristics of wind speed, wind direction and air temperature at low altitude, and the variation laws of altitude and stability of the atmospheric mixed layer were analyzed. By comparing the wind profile power exponent values using the observational data, the vertical variation laws of wind at low altitude were analyzed. Analysis results show that Panjin wetland and the surrounding areas have the same characteristics of wind and air temperature in low altitude level; with the increase in altitude in the wetland area, the wind speed increases gradually. There is an area with relatively stable wind speed at the altitude between 200 and 300 m, where there is a wind shear. Under different stability conditions, the vertical wind speed profile is consistent with that in typical rural areas; the altitude of the mixed layer in the unstable level presents a distinct diurnal variation.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Yunhai Zhang
AU  - Yangfeng Wang
AU  - Hongbin Yang
AU  - Jiwei Xu
AU  - Qiang Gong
PY  - 2017/05
DA  - 2017/05
TI  - Observation and Analysis of Characteristics of Wind and Air Temperature in Low Altitude Level in Panjin Wetland in Autumn and Winter
BT  - Proceedings of the 2017 International Conference on Applied Mathematics, Modelling and Statistics Application (AMMSA 2017)
PB  - Atlantis Press
SP  - 222
EP  - 225
SN  - 1951-6851
UR  - https://doi.org/10.2991/ammsa-17.2017.48
DO  - 10.2991/ammsa-17.2017.48
ID  - Zhang2017/05
ER  -