Dataset Information

Precipitation and soil moisture data in two engineered urban green infrastructure facilities in New York City.

ABSTRACT: This paper archives spatiotemporal volumetric moisture content (VMC) and associated precipitation datasets collected between 2012 and 2014 at different depths in two different New York City green infrastructure (GI) (e.g. bioretention) facilities, termed Site 1 and Site 2, respectively. The two sites are similar in both design and monitoring set up, and are located within two kilometers of one another, but differ in terms of hydraulic loading ratio (HLR). Both sites were designed and instrumented specifically to facilitate a comparison of the hydrologic fluxes within the two GI facilities. Site 1 receives only direct rainfall and is hydrologically isolated from the surrounding impervious surfaces (HLR = 1); Site 2 receives both direct precipitation and street runoff through a curb cut inlet (HLR = 3.8). Monitoring was conducted both inside (L plots) and outside (G plots) weighing lysimeters that were installed at both sites and planted with similar vegetation. Each L and G plot was equipped with five soil moisture sensors installed at 5, 10, 20, 30, and 50?cm depths in a circular pattern. This dataset is associated with the original research presented in "Observed Variability in Soil Moisture in Engineered Urban Green Infrastructure Systems and Linkages to Ecosystem Services [1]."

SUBMITTER: Alizadehtazi B

PROVIDER: S-EPMC7479318 | biostudies-literature | 2020 Oct

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Precipitation and soil moisture data in two engineered urban green infrastructure facilities in New York City.

Alizadehtazi Bita B Montalto Franco A FA

Data in brief 20200825

This paper archives spatiotemporal volumetric moisture content (VMC) and associated precipitation datasets collected between 2012 and 2014 at different depths in two different New York City green infrastructure (GI) (e.g. bioretention) facilities, termed Site 1 and Site 2, respectively. The two sites are similar in both design and monitoring set up, and are located within two kilometers of one another, but differ in terms of hydraulic loading ratio (HLR). Both sites were designed and instrumente ...[more]

PMID: 32939380

Similar Datasets

Project description:The importance of natural ecosystem processes is often overlooked in urban areas. Green Infrastructure (GI) features have been constructed in urban areas as elements to capture and treat excess urban runoff while providing a range of ancillary benefits, e.g., ecosystem processes mediated by microorganisms that improve air and water quality, in addition to the associations with plant and tree rhizospheres. The objective of this study was to characterize the bacterial community and diversity in engineered soils (Technosols) of five types of GI in New York City; vegetated swales, right of way bioswales (ROWB; including street-side infiltration systems and enhanced tree pits), and an urban forest. The design of ROWB GI features directly connects with the road to manage street runoff, which can increase the Technosol saturation and exposure to urban contaminants washed from the street and carried into the GI feature. This GI design specifically accommodates dramatic pulses of water that influence the bacterial community composition and diversity through the selective pressure of contaminants or by disturbance. The ROWB had the highest biodiversity, but no significant correlation with levels of soil organic matter and microbially-mediated biogeochemical functions. Another important biogeochemical parameter for soil bacterial communities is pH, which influenced the bacterial community composition, consistent with studies in non-urban soils. Bacterial community composition in GI features showed signs of anthropogenic disturbance, including exposure to animal feces and chemical contaminants, such as petroleum products. Results suggest the overall design and management of GI features with a channeled connection with street runoff, such as ROWB, have a comprehensive effect on soil parameters (particularly organic matter) and the bacterial community. One key consideration for future assessments of GI microbial community would be to determine the source of organic matter and elucidate the relationship between vegetation, Technosol, and bacteria in the designed GI features.

Project description:Urban hydrology and green infrastructure (GI) can be modeled using the Automated Geospatial Watershed Assessment (AGWA) Urban tool and the Kinematic Runoff and Erosion (KINEROS2) model. The KINEROS2 model provides an urban modeling element with nine overland flow components that can be used to represent various land cover types commonly found in the built environment while treating runoff-runon and infiltration processes in a physically based manner. The AGWA Urban tool utilizes a Geographic Information System (GIS) framework to prepare parameters required for KINEROS2, executes the model, and imports results for visualization in the GIS. The AGWA Urban tool was validated on a residential subdivision in Arizona, USA, using 47 rainfall events (June 2005 to September 2006) to compare observed runoff volumes and peak flow rates with simulated results. Comparison of simulated and observed runoff volumes resulted in a slope of 1.00 for the regression equation with an R2 value of 0.80. Comparison of observed and simulated peak flows had a slope of 1.12 with an R 2 value of 0.83. A roof runoff analysis was simulated for 787 events, from January 2006 through December 2015, to analyze the water availability from roof runoff capture. Simulation results indicated a 15% capture of the average monthly rainfall volume on the watershed. Additionally, rainwater captured from roofs has the potential to provide for up to 70% of the domestic annual per capita water use in this region. Five different scenarios (S1 - base, S2 - with retention basins, S3 - with permeable driveways, S4 - with rainwater harvesting cisterns, and S5 - all GI practices from S2, S3, and S4) were simulated over the same period to compare the effectiveness of GI implementation at the parcel level on runoff and peak flows at the watershed outlet. Simulation results indicate a higher runoff volume reduction for S2 (53.41 m3 average capacity, average 30% reduction) as compared to S3 (average 14% reduction), or S4 (3.78 m3 capacity, average 6% reduction). Analysis of peak flows reveal larger peak flow reduction for S2. S3 showed more reduction of smaller peak flows as compared to S4.

Dataset Information

Precipitation and soil moisture data in two engineered urban green infrastructure facilities in New York City.

Publications

Precipitation and soil moisture data in two engineered urban green infrastructure facilities in New York City.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets