Real-Time Sensor Network of Detroit Green Infrastructure: Datasets and Code

Detroit's green infrastructure is monitored by a network of 14 rain gardens and 16 pressure transducers. The dataset includes design features, field logs, water well data, GIS layers, and code for analyzing stormwater decay constants. Brooke E. Mason from the University of Michigan compiled this resource for urban hydrology research.

Use Cases

• Correlating green infrastructure design features with hydrological performance based on the monitored site attributes.
• Analyzing stormwater drawdown dynamics using computed decay constants for individual storm events.
• Modeling groundwater levels in the Detroit region by interpolating data from water wells.
• Assessing the impact of land use and soil type on green infrastructure using provided GIS data layers.

Strengths

• Includes data from 14 specifically monitored green infrastructure sites with design and physiographic features.
• Contains raw sensor data from 16 pressure transducers, providing time-series measurements.
• Integrates multiple data types: tabular site data, GIS layers, and analysis code in Jupyter notebooks.

Limitations

• Row count and total data volume are unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Last update date is unknown; freshness unverified.

Provenance

Source

University of Michigan

Collection Method

Field monitoring via sensor network and spatial analysis using GIS.

Geography

Detroit, Michigan, USA