Improved urban runoff prediction using high-resolution land-use, imperviousness, and stormwater infrastructure data applied to a process-based ecohydrological model Article Swipe
Jonathan Halama
,
Robert B. McKane
,
Brad Barnhart
,
Paul Bryce Pettus
,
Allen Brookes
,
Kevin Djang
,
Vivian Phan
,
Sonali Chokshi
,
James Graham
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1371/journal.pwat.0000155
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1371/journal.pwat.0000155
Modeling large-scale hydrological impacts brought about by site-level green and gray stormwater remediation actions is difficult because urbanized areas are extremely complex dynamic landscapes that include engineered features that, by design, expedite urban runoff to streams, creeks, and other water bodies to reduce urban flooding during storm events. Many urban communities use heavily engineered gray infrastructure to achieve that goal, along with more recent additions of green infrastructure such as rain gardens, bioswales, and riparian corridors. Therefore, successfully characterizing those design details and associated management practices, interactions, and impacts requires a detailed understanding of how fine and course-scale hydrologic processes and routing are altered and managed in urban watersheds. To enhance hydrologic modeling capabilities of urban watersheds, we implemented a number of improvements to an existing ecohydrology model called VELMA—Visualizing Ecosystem Land Management Assessments—including the addition of spatially explicit engineered features that impact urban hydrology (e.g., impervious surfaces, curbed roadways, stormwater routing) and refinement to the computational representations of evapotranspiration by adding impervious surface evaporation. We demonstrate improved capabilities for modeling within complex urbanized watersheds by simulating stream runoff within the Longfellow Creek watershed, City of Seattle, Washington (WA), United States (US) with and without these added urban watershed characteristics. The results demonstrate that the newly improved VELMA model allows for more accurate modeling of hydrology within urban watersheds. Being a fate and transport ecohydrology model, the improved hydrologic flow enhances VELMA’s current capacity for modeling nutrient, contaminant, and thermal loadings.
Related Topics
Concepts
Impervious surface
Environmental science
Ecohydrology
Low-impact development
Surface runoff
Stormwater
Hydrology (agriculture)
Watershed
Hydrological modelling
Urban stream
Evapotranspiration
Flow routing
Water resource management
STREAMS
Computer science
Ecosystem
Geology
Stormwater management
Ecology
Machine learning
Computer network
Biology
Climatology
Geotechnical engineering
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1371/journal.pwat.0000155
- OA Status
- gold
- Cited By
- 3
- References
- 22
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4388822534
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4388822534Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1371/journal.pwat.0000155Digital Object Identifier
- Title
-
Improved urban runoff prediction using high-resolution land-use, imperviousness, and stormwater infrastructure data applied to a process-based ecohydrological modelWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-11-20Full publication date if available
- Authors
-
Jonathan Halama, Robert B. McKane, Brad Barnhart, Paul Bryce Pettus, Allen Brookes, Kevin Djang, Vivian Phan, Sonali Chokshi, James GrahamList of authors in order
- Landing page
-
https://doi.org/10.1371/journal.pwat.0000155Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.1371/journal.pwat.0000155Direct OA link when available
- Concepts
-
Impervious surface, Environmental science, Ecohydrology, Low-impact development, Surface runoff, Stormwater, Hydrology (agriculture), Watershed, Hydrological modelling, Urban stream, Evapotranspiration, Flow routing, Water resource management, STREAMS, Computer science, Ecosystem, Geology, Stormwater management, Ecology, Machine learning, Computer network, Biology, Climatology, Geotechnical engineeringTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
3Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 2, 2024: 1Per-year citation counts (last 5 years)
- References (count)
-
22Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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