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Monitoring of tree tilt motion using lorawan-based wireless tree sensing system (IoTT) during super typhoon Mangkhut.

Authors :
Chau, Wai Yi
Wang, Yu-Hsing
Chiu, Siu Wai
Tan, Pin Siang
Leung, Mei Ling
Lui, Hoi Lun
Wu, Jimmy
Lau, Yun Man
Liu, Kuan-Fu
Hau, Billy Chi Hang
Source :
Agricultural & Forest Meteorology. Feb2023, Vol. 329, pN.PAG-N.PAG. 1p.
Publication Year :
2023

Abstract

• New LoRaWAN-based tree tilting monitoring system is established for urban forestry. • Different modes of tree failure were recorded during the hit of typhoon mangkhut. • Proposed temporal wind tipping curve well presented the entire tree failure process. • Transition from elastic to elastoplastic response was revealed before tree falling. Managing urban forests in densely populated cities with narrow streets and compact environments is challenging. This paper describes a city-scale, low power-consumption, and real-time tree monitoring system, called the Internet of Tree Things (IoTT). The IoTT system includes tree motion sensors for capturing tree movement in terms of the tilt angle, LoRaWAN gateways for wireless data transmission established in an economical way, and servers for data storage, big data analysis capability, and data visualization. The performance of IoTT under extreme weather conditions was fully examined during the devastating strike of super typhoon Mangkhut in September 2018. In addition, trees having different failure modes, such as uprooting, trunk fracture, and root ball sliding, were recorded by the IoTT and are presented in this paper. The corresponding biomechanistic behavior of the trees can be better revealed using the newly proposed temporal wind tipping curves and associated polar diagrams of the tilt angles. At the beginning of the passage of Mangkhut, the trees exhibited elastic responses, and the swaying gradually increased with the wind speed. After the wind speed continued to get stronger and once the elastic limit of the tree was exceeded (yield), clustered plastic deformation developed parallel to the dominant wind direction. This behavior can be considered as a meaningful indication of tree damage, indicating a potentially hazardous tree situation and, most importantly, can be used as real-time, supplemental information to support arborists in better decision-making in urban forest management. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
01681923
Volume :
329
Database :
Academic Search Index
Journal :
Agricultural & Forest Meteorology
Publication Type :
Academic Journal
Accession number :
161100557
Full Text :
https://doi.org/10.1016/j.agrformet.2022.109282