URBAN TREES AND RAINFALL INTERCEPTION

  • Home
  • About
  • Trees & Urban Environment
    • Benefits of Urban Trees
    • Rainfall Interception
  • Interception Model
    • Model Performance
    • Model Sensitivity
  • Model Application
    • Model Assessment
    • Download the Model
  • Contact
  • Home
  • About
  • Trees & Urban Environment
    • Benefits of Urban Trees
    • Rainfall Interception
  • Interception Model
    • Model Performance
    • Model Sensitivity
  • Model Application
    • Model Assessment
    • Download the Model
  • Contact

​

Picture

Step1

Data Requirements 
  • Solar Radiation (mm/h)
  • Air temperature(°C)
  • Relative Humidity (%)
  • Wind speed (m/s)
  • Gross Rainfall Rate (mm)
  • Duration of rainfall event (h)

Potential Sources of Data 
  • NASA: http://power.larc.nasa.gov/cgi-bin/hirestimeser.cgi
  • Environment Canada: http://climate.weather.gc.ca/historical_data/search_historic_data_e.html
  • NOAA: ​http://hdsc.nws.noaa.gov/hdsc/pfds/pfds_series.html
Picture

Step 2

Data Requirements  
  • Leaf Area Index (LAI)
  • Stem and branches surface water storage                  (Not Required)


Potential Sources of Data  
  • Pocket LAI (a smart phone app for estimating LAI)
  • Documented data:  McPherson et al. 1994 (Page10 Table 6.); Xiao et al. 2016;  

More about Pocket LAI?

How to use Pocket LAI? Check this video!
Pocket LAI related Publications 
Estimating leaf area index in tree species using the PocketLAI smart app
Orlando, F., Movedi, E., Paleari, L., Gilardelli, C., Foi, M., Dell'Oro, M., Confalonieri, R.
​

Comparison of leaf area index estimates by ceptometer and PocketLAI smart app in canopies with different structures.
Francone, C., Pagani, V., Foi, M., Cappelli, G., Confalonieri, R.
Powered by
✕