Related Experiment Video
Updated: Jul 19, 2026

Assessing the Particulate Matter Removal Abilities of Tree Leaves
Published on: October 7, 2018
[Estimation of rainfall interception by broad-leaved Korean pine forest in Changbai Mountains]
Anzhi Wang1, Tiefan Pei, Changjie Jin
1Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China. anzhiwang@tom.com
Abstract:
Rainfall interception by forest canopy is an important process of water resources cycle in forest watershed. Most studies focused on the relationships of the interception with the precipitation in one or more rainfall events, without considering rainfall density and vegetation characteristics. By using a semi-theoretical model of canopy rainfall interception model, taking rainfall intensity and leaf area indices as inputs and canopy wetness index as parameter, and combining with Penman-Monteith equation, this paper simulated the rainfall interception by the broad-leaved Korean pine forest canopy in Changbai Mountains, and estimated the total interception of rainfall events from 1 May to 30 September 2004. The results showed that the total interception was 39.96 mm, occupying 10.2% of the precipitation, and the estimated results agreed well with the measured ones. Based on the estimated results, the relationships between interception and rainfall on different temporal scales were analyzed, which suggested that with the increase of temporal scale from 30 min to a month, the correlation between interception and rainfall became more and more obvious.
Related Concept Videos
Precipitation and Co-precipitation
Adaptations that Reduce Water Loss

