TREE BOX PERFORMANCE IN EXFILTRATING STORMWATER RUNOFF

This study determines the exfiltration rates in six tree boxes and analyzes their performance over time. The study site is in Louisville, KY, where we monitored the performance of six tree boxes and other stormwater control measures (SCMs). Each tree box is 1.5 m wide, 1.5 m long, and 1.8 m deep. Street and parking lot runoff enters tree boxes though a curb cut. A 46-cm diameter shaft was drilled at the bottom of each tree box to reach the underlying permeable soil layer. A pressure transducer installed at the bottom of the shaft measured the water level depth and water temperature. From the water level data, the exfiltration rate of six tree boxes was calculated for 121 rain events. For each rain event the exfiltration rate was calculated at different water levels inside the shaft. The effects of water level inside the shaft, temperature, and age on the exfiltration rate were analyzed. Exfiltration rate increased with water level and exfiltration rate in first year is significantly larger than second year. Overall in second year the decrease in geometric mean exfiltration rate was largest for moderate depth. The exfiltration rate of the tree boxes is significantly larger for warmer rain events and significantly smaller for cooler rain events. This paper highlights the use of continuous two years’ water level monitoring data to quantify the potential for local recharge via exfiltration, and the effect of different parameter on the exfiltration rate of six tree boxes.

This dataset is associated with the following publication: Ahmed, F., and M. Borst. TREE BOX PERFORMANCE IN EXFILTRATING STORMWATER RUNOFF. WATER ENVIRONMENT RESEARCH. Water Environment Federation, Alexandria, VA, USA, 92(1): 106-114, (2020).

Data and Resources

Field Value
accessLevel public
bureauCode {020:00}
catalog_conformsTo https://project-open-data.cio.gov/v1.1/schema
identifier https://doi.org/10.23719/1407665
license https://pasteur.epa.gov/license/sciencehub-license.html
modified 2015-05-31
programCode {020:096}
publisher U.S. EPA Office of Research and Development (ORD)
publisher_hierarchy U.S. Government > U.S. Environmental Protection Agency > U.S. EPA Office of Research and Development (ORD)
references {https://doi.org/10.1002/wer.1189}
resource-type Dataset
source_datajson_identifier true
source_hash 33775e1cf5d38ebdc24ce63704b725b6daa2c489
source_schema_version 1.1
Groups
  • AmeriGEOSS
  • National Provider
  • North America
Tags
  • AmeriGEO
  • AmeriGEOSS
  • CKAN
  • GEO
  • GEOSS
  • National
  • North America
  • United States
  • exfiltration
  • pressure-transducer
  • seasonal-effect
  • stormwater-control-measure
isopen False
license_id other-license-specified
license_title other-license-specified
maintainer Michael Borst
maintainer_email borst.mike@epa.gov
metadata_created 2025-09-24T03:59:35.757027
metadata_modified 2025-09-24T03:59:35.757038
notes This study determines the exfiltration rates in six tree boxes and analyzes their performance over time. The study site is in Louisville, KY, where we monitored the performance of six tree boxes and other stormwater control measures (SCMs). Each tree box is 1.5 m wide, 1.5 m long, and 1.8 m deep. Street and parking lot runoff enters tree boxes though a curb cut. A 46-cm diameter shaft was drilled at the bottom of each tree box to reach the underlying permeable soil layer. A pressure transducer installed at the bottom of the shaft measured the water level depth and water temperature. From the water level data, the exfiltration rate of six tree boxes was calculated for 121 rain events. For each rain event the exfiltration rate was calculated at different water levels inside the shaft. The effects of water level inside the shaft, temperature, and age on the exfiltration rate were analyzed. Exfiltration rate increased with water level and exfiltration rate in first year is significantly larger than second year. Overall in second year the decrease in geometric mean exfiltration rate was largest for moderate depth. The exfiltration rate of the tree boxes is significantly larger for warmer rain events and significantly smaller for cooler rain events. This paper highlights the use of continuous two years’ water level monitoring data to quantify the potential for local recharge via exfiltration, and the effect of different parameter on the exfiltration rate of six tree boxes. This dataset is associated with the following publication: Ahmed, F., and M. Borst. TREE BOX PERFORMANCE IN EXFILTRATING STORMWATER RUNOFF. WATER ENVIRONMENT RESEARCH. Water Environment Federation, Alexandria, VA, USA, 92(1): 106-114, (2020).
num_resources 1
num_tags 12
title TREE BOX PERFORMANCE IN EXFILTRATING STORMWATER RUNOFF