Quantifying evapotranspiration from urban green roofs: a comparison of chamber measurements with commonly used predictive methods.

Environ Sci Technol

Department of Civil Engineering and Engineering Mechanics, Columbia University, 116th St & Broadway, New York, New York 10027, United States.

Published: September 2014

Quantifying green roof evapotranspiration (ET) in urban climates is important for assessing environmental benefits, including stormwater runoff attenuation and urban heat island mitigation. In this study, a dynamic chamber method was developed to quantify ET on two extensive green roofs located in New York City, NY. Hourly chamber measurements taken from July 2009 to December 2009 and April 2012 to October 2013 illustrate both diurnal and seasonal variations in ET. Observed monthly total ET depth ranged from 0.22 cm in winter to 15.36 cm in summer. Chamber results were compared to two predictive methods for estimating ET; namely the Penman-based ASCE Standardized Reference Evapotranspiration (ASCE RET) equation, and an energy balance model, both parametrized using on-site environmental conditions. Dynamic chamber ET results were similar to ASCE RET estimates; however, the ASCE RET equation overestimated bottommost ET values during the winter months, and underestimated peak ET values during the summer months. The energy balance method was shown to underestimate ET compared the ASCE RET equation. The work highlights the utility of the chamber method for quantifying green roof evapotranspiration and indicates green roof ET might be better estimated by Penman-based evapotranspiration equations than energy balance methods.

Download full-text PDF

Source
http://dx.doi.org/10.1021/es501699hDOI Listing

Publication Analysis

Top Keywords

asce ret
16
green roof
12
ret equation
12
energy balance
12
evapotranspiration urban
8
green roofs
8
chamber measurements
8
predictive methods
8
quantifying green
8
roof evapotranspiration
8

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!