Environmental Internship Program - 2023 Booklet
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Emeline Blohm ’25<br />
CIVIL AND ENVIRONMENTAL ENGINEERING<br />
PROJECT TITLE<br />
Modeling Tree Rainfall<br />
Interception Through Open<br />
Data Analysis<br />
ORGANIZATION(S)<br />
Urban Modeling Group,<br />
Tandon School of<br />
Engineering, New York<br />
University (NYU)<br />
LOCATION(S)<br />
Brooklyn, New York<br />
MENTOR(S)<br />
Debra Laefer,<br />
Professor of Urban<br />
Informatics, Tandon<br />
School of Engineering,<br />
NYU<br />
I developed an original methodology to estimate<br />
the rainfall interception and storage capacity<br />
of 98,700 trees in Brooklyn, New York. Urban<br />
flood models often neglect tree canopy as a form<br />
of green infrastructure mitigation, but trees<br />
mitigate pluvial flooding by intercepting and<br />
storing rainfall. The quantity of rain mitigated<br />
by an individual tree depends on characteristics<br />
such as species, diameter, height and canopy<br />
area. For large areas with diverse tree types,<br />
remote sensing datasets can be used to estimate<br />
these features. I gathered tree features for<br />
20.25 km 2 of Brooklyn from two open datasets.<br />
I processed these datasets and calculated the<br />
bark and leaf storage per block based on values<br />
aggregated from peer-reviewed literature. In the<br />
application QGIS, I visualized the distribution<br />
of tree canopy and bark and leaf rainfall storage<br />
per block and total storage per square meter of<br />
canopy. I used the storage values in an existing<br />
model and found that for the study area, the total<br />
tree storage is over 1.7 million liters of rain. I<br />
also found that the bark surface intercepts more<br />
water than the leaf surface (77.5% vs. 22.5%).<br />
These results can be integrated into flood models<br />
to evaluate the impact of tree cover on pluvial<br />
flooding.<br />
ENVIRONMENT AND SOCIETY<br />
AND URBAN SUSTAINABILITY<br />
37