Rapid Assessment and Long-Term Monitoring of Green Stormwater Infrastructure with Citizen Scientists
Green stormwater infrastructure (GSI) has emerged as a promising decentralized management approach to urban stormwater challenges. A lack of data about GSI performance interferes with widespread adoption of GSI. A citizen science program that benefits researchers, lay scientists, and municipalities...
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MDPI AG
2021
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oai:doaj.org-article:5d386e8d47554618a91bf9e8127a72922021-11-25T19:01:42ZRapid Assessment and Long-Term Monitoring of Green Stormwater Infrastructure with Citizen Scientists10.3390/su1322125202071-1050https://doaj.org/article/5d386e8d47554618a91bf9e8127a72922021-11-01T00:00:00Zhttps://www.mdpi.com/2071-1050/13/22/12520https://doaj.org/toc/2071-1050Green stormwater infrastructure (GSI) has emerged as a promising decentralized management approach to urban stormwater challenges. A lack of data about GSI performance interferes with widespread adoption of GSI. A citizen science program that benefits researchers, lay scientists, and municipalities offers a way to provide these lacking data. We have developed an open-source, transferable green infrastructure rapid assessment (GIRA) protocol for studying the performance of GSI with citizen scientists. This protocol has been tested in six North American cities (New York City, Toronto, Vancouver, Chicago, San Francisco, and Buffalo). In this research we define the performance of GSI in varying geographic, climatic, and maintenance conditions with the intent to create technological, institutional, and management solutions to urban stormwater problems. The GIRA protocol was used by citizen scientists to assess the physical properties and capabilities of bioswales, while small, affordable Green Infrastructure Sensors Boxes (GIBoxes) were used to determine longer-term function across several rain events. Our results indicate that teams of citizen scientists can be effective for collecting and archiving widespread information on the post-installation function of GSI. The effort also showed that citizen scientists had changes in understanding of urban stormwater challenges and the role that GSI can play in solving these problems. We explore the multiple benefits to knowledge, participants, and municipal partners as a result of this research.Thomas MeixnerAlan R. BerkowitzAlisen E. DowneyJose PillichReese LeVeaBrianne K. SmithMark ChandlerNeha GuptaStan RullmanAnna WoodroofJennifer CherrierMDPI AGarticlegreen stormwater infrastructureurbancitizen sciencestormwaterEnvironmental effects of industries and plantsTD194-195Renewable energy sourcesTJ807-830Environmental sciencesGE1-350ENSustainability, Vol 13, Iss 12520, p 12520 (2021) |
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green stormwater infrastructure urban citizen science stormwater Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350 |
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green stormwater infrastructure urban citizen science stormwater Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350 Thomas Meixner Alan R. Berkowitz Alisen E. Downey Jose Pillich Reese LeVea Brianne K. Smith Mark Chandler Neha Gupta Stan Rullman Anna Woodroof Jennifer Cherrier Rapid Assessment and Long-Term Monitoring of Green Stormwater Infrastructure with Citizen Scientists |
description |
Green stormwater infrastructure (GSI) has emerged as a promising decentralized management approach to urban stormwater challenges. A lack of data about GSI performance interferes with widespread adoption of GSI. A citizen science program that benefits researchers, lay scientists, and municipalities offers a way to provide these lacking data. We have developed an open-source, transferable green infrastructure rapid assessment (GIRA) protocol for studying the performance of GSI with citizen scientists. This protocol has been tested in six North American cities (New York City, Toronto, Vancouver, Chicago, San Francisco, and Buffalo). In this research we define the performance of GSI in varying geographic, climatic, and maintenance conditions with the intent to create technological, institutional, and management solutions to urban stormwater problems. The GIRA protocol was used by citizen scientists to assess the physical properties and capabilities of bioswales, while small, affordable Green Infrastructure Sensors Boxes (GIBoxes) were used to determine longer-term function across several rain events. Our results indicate that teams of citizen scientists can be effective for collecting and archiving widespread information on the post-installation function of GSI. The effort also showed that citizen scientists had changes in understanding of urban stormwater challenges and the role that GSI can play in solving these problems. We explore the multiple benefits to knowledge, participants, and municipal partners as a result of this research. |
format |
article |
author |
Thomas Meixner Alan R. Berkowitz Alisen E. Downey Jose Pillich Reese LeVea Brianne K. Smith Mark Chandler Neha Gupta Stan Rullman Anna Woodroof Jennifer Cherrier |
author_facet |
Thomas Meixner Alan R. Berkowitz Alisen E. Downey Jose Pillich Reese LeVea Brianne K. Smith Mark Chandler Neha Gupta Stan Rullman Anna Woodroof Jennifer Cherrier |
author_sort |
Thomas Meixner |
title |
Rapid Assessment and Long-Term Monitoring of Green Stormwater Infrastructure with Citizen Scientists |
title_short |
Rapid Assessment and Long-Term Monitoring of Green Stormwater Infrastructure with Citizen Scientists |
title_full |
Rapid Assessment and Long-Term Monitoring of Green Stormwater Infrastructure with Citizen Scientists |
title_fullStr |
Rapid Assessment and Long-Term Monitoring of Green Stormwater Infrastructure with Citizen Scientists |
title_full_unstemmed |
Rapid Assessment and Long-Term Monitoring of Green Stormwater Infrastructure with Citizen Scientists |
title_sort |
rapid assessment and long-term monitoring of green stormwater infrastructure with citizen scientists |
publisher |
MDPI AG |
publishDate |
2021 |
url |
https://doaj.org/article/5d386e8d47554618a91bf9e8127a7292 |
work_keys_str_mv |
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