| 摘要: |
| 探地雷达作为一项非破坏性技术，在植物根系探测工作中表现出巨大潜力。目前雷达探根方面的研究集中在野外和人工实验环境中，几乎没有在城市
环境中进行根系探测的探索与实践。在总结现有的雷达探根实验与实践的基础上，设计根系探测实验，通过研究城市行道树根系的生长环境特征与根系的分布
特征，验证城市环境中雷达探根技术的应用方法、可行性以及可靠性。实验表明，雷达探根技术在城市地下环境中的应用具有诸多优势，行道树根系集中分布
在0~40 cm深度范围的探测结果符合树木根系分布的基本特征，该技术具有较高的可行性。识别率与深度判定准确率的提升是提高其可靠性的关键，仍需加以
验证。 |
| 关键词: 园林植物 植物根系 探地雷达 城市环境 行道树 |
| DOI：10.19775/j.cla.2025.04.0116 |
| 投稿时间：2023-07-01修订日期：2024-01-07 |
| 基金项目:北京林业大学热点追踪项目(2022BLRD05)；北京市共建项目(2019GJ-03) |
|
| Application of Radar Detecting Plant Roots in Urban Environment |
| LI Yukai,,IN Hao* |
| Abstract: |
| Ground-penetrating radar (GPR) has emerged as a highly promising
non-destructive technology in the field of plant root system detection. Its ability
to provide detailed information about root structures without causing damage
to the plants or surrounding environment has positioned it as a valuable tool
for ecological and urban studies. However, current research on GPR-based
root detection is predominantly focused on natural field settings and controlled
laboratory environments. Surprisingly, there is a significant gap in the exploration
and application of this technology in urban environments, where understanding
the root systems of urban trees is crucial for urban planning, infrastructure
management, and ecological sustainability. This study aims to bridge this gap
by conducting root detection experiments in urban settings. Building on the
existing body of research on GPR-based root detection, we selected two major
streets in Beijing, Chengfu Road and Zhongguancun North Street, as the study
sites. Through a detailed investigation of the growth environment and distribution
characteristics of street tree roots, it aimed to validate the application methods,
feasibility, and reliability of GPR technology in urban environments. The study
involved 10 sample groups from Chengfu Road and Zhongguancun North Street.
The results of the root detection experiments revealed several interesting patterns.
In the horizontal direction, the distribution of street tree roots showed no clear
regularity, indicating a complex and variable root system influenced by various
urban environmental factors. In the vertical direction, the roots were predominantly
concentrated within the depth range of 0-40 cm, with fewer roots detected at
depths of 40-60 cm. This finding aligns well with the general characteristics of tree
root distribution, which typically favors shallower depths for nutrient and water
uptake. Furthermore, the study compared the root distribution density under two
different types of road surfaces: concrete pavers and asphalt. The results showed
that the root distribution density was higher under concrete pavers than under
asphalt. Specifically, the average ratio of root distribution density under concrete
pavers to that under asphalt was 1.71:1 for the six sample groups on Chengfu
Road and 1.30:1 for the four sample groups on Zhongguancun North Street. This
difference may be attributed to the varying permeability and compaction levels of
the two surface materials, which influence soil moisture and aeration, key factors
for root growth. The research highlights the significant potential of GPR technology
for detecting root systems in urban underground environments. The detection
results, which showed that street tree roots are mainly concentrated within the
0-40 cm depth range, are consistent with the fundamental characteristics of tree
root distribution. This consistency confirms the high feasibility of using GPR for
urban root detection. However, despite these encouraging results, there are still
challenges to be addressed to enhance the reliability of this technology. Improving
the identification rate and the accuracy of depth determination are critical factors
for increasing the reliability of GPR in root detection. These aspects require further
validation and refinement through additional experiments and data analysis. In
conclusion, this study demonstrates that GPR is a valuable tool for investigating
urban tree root systems. While it has shown significant potential in urban
environments, continued research and development are necessary to optimize
its application and fully realize its potential for urban ecological and infrastructure
studies. Future work should focus on refining GPR techniques and data
interpretation methods to better distinguish root structures from other underground
features and to provide more precise depth measurements. This will ultimately
contribute to more effective urban planning and sustainable management of urban
green spaces. |
| Key words: landscape plant plant root ground penetrating radar urban
environment street tree |
