基于物联网在线监测的景观项目雨洪管理过程可视化与绩效评估

雨洪管理研究中,实地监测分析的准确性远高于模型模拟与水文计算,高精度监测数据可有效支撑景观项目雨洪管理过程还原及绩效评估。以清华大学胜因院为研究场地,利用无线传感网络(WSN)在线监测技术,通过系统设计组织多种传感器收集分钟级的降雨、树冠截留、土壤持水量、下渗、积水、溢流等雨洪管理数据。研究依据16场降雨数据,定量评估了场地树木冠层及终端雨水花园所发挥的径流削减作用,并分析指标相关性,可视化复杂的土壤水文过程。本研究提供的监测指标、系统及分析方法在景观项目雨洪管理监测中具有较强的推广性。

Process Visualization and Performance Evaluation of Stormwater Management in Landscape Projects Based on IoT Online Monitoring

In the research of stormwater management, the accuracy of field monitoring analysis is much higher than model simulation and hydrological calculation. High-precision monitoring data can effectively support stormwater management process visualization and performance evaluation in landscape projects. Taking Shengyinyuan as the monitoring site, this research uses wireless sensor network (WSN) with various sensors to collect minute-level data of rainfall, canopy interception, soil water holding capacity, infiltration and runoff overflow. Based on data of 16 rainfall events, the study quantitatively evaluates the runoff reduction of 4 kinds of canopy trees and 4 rain gardens in the site, then analyzes the correlation of different indicators and visualize complex soil hydrological processes. The monitoring indicators, systems and analytical methods provided have strong promotion value in studying stormwater management in landscape projects.