Research on Simulation Model of Wind Speed Change before and after Protection Forest Belt

DOI

10.2991/msbda-19.2019.7How to use a DOI?

Keywords

Simulation model, Wind tunnel experiments, Least squares method, Ridge regression, Elastic network

Abstract

Reducing wind speed is the main role of shelterbelt. To reveal wind speed change characteristics in the protected area, establish a simulation model of the average wind speed, height and average wind speed after the forest belt. Established three wind speed variation models respectively by the least squares method, ridge regression and elastic network method. Verified the wind speeds of the windward and leeward sides of eight different structural forests under wind speeds of 8,11 and 14 m•s-1 by wind tunnel experiments. Model evaluation indicators are the coefficient of determination (R2) and root mean square error(RMSE).The results show that the R2 of models all are higher than 0.9, and RMSE are 1.05492, 1.05490 and 1.05092 in turn. Comparing the modeling performance of three methods, the generalization ability of elastic network is better. The average of 0-5H wind speed before the forest belt and height can estimate the average wind speed after 0-10H the forest belt.

Copyright

© 2019, 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  - Xiaoye Li
AU  - Kejian Wang
AU  - Hao Tang
AU  - Jiancai Gu
AU  - Zhenxue He
PY  - 2019/08
DA  - 2019/08
TI  - Research on Simulation Model of Wind Speed Change before and after Protection Forest Belt
BT  - Proceedings of the 2019 International Conference on Modeling, Simulation and Big Data Analysis (MSBDA 2019)
PB  - Atlantis Press
SP  - 38
EP  - 44
SN  - 2352-538X
UR  - https://doi.org/10.2991/msbda-19.2019.7
DO  - 10.2991/msbda-19.2019.7
ID  - Li2019/08
ER  -