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A Deployable Model and Global Dataset on Stormwater Microplastic Concentrations and Drivers
| Description: | This dataset compiles global measurements of stormwater microplastic concentrations along with their driving factors, serving as a resource for analyzing the extent and variability of microplastic pollution in stormwater systems. The dataset integrates measured microplastic concentrations from diverse locations with environmental, hydrological, meteorological, and land use data, offering a structured foundation for further analysis and modeling. To enhance its utility, three machine learning models were developed and interpreted to examine the relationships between stormwater microplastic concentrations and various hydrometeorological and socioeconomic variables. The dataset is intended to support future modeling efforts, particularly when supplemented with additional empirical studies. The provided model can be deployed in stormwater catchments where cost-intensive sampling and analysis are limited or used as a basis for further refinement and development. |
| Notes: | This dataset contains the modeling code and data used in the study titled "Assessment of Environmental and Socioeconomic Drivers of Urban Stormwater Microplastics Using Machine Learning," published in Scientific Reports. Users are encouraged to supplement the dataset with additional findings to enhance its applicability and relevance. |
| Authors: | Reshadi, Mir Amir Mohammad; University of Waterloo;  0000-0001-7975-5083Rezanezhad, Fereidoun; University of Waterloo; 0000-0002-9608-8005Shahvaran, Ali Reza; University of Waterloo; 0000-0001-7846-054XGhajari, Amirhossein; University of Waterloo Kaykhosravi, Sarah; National Research Council Canada; 0000-0002-9481-8991Stephanie, Slowinski; University of Waterloo; 0000-0001-5090-441XVan Cappellen, Philippe; University of Waterloo; 0000-0001-5476-0820 |
| Keywords: | Microplastics Urban Stormwater Concentration Data Base Machine Learning CatBoost |
| Field of Research: | Earth and related environmental sciences > Hydrology > Water quality
Computer and information sciences > Artificial intelligence (AI) > Machine learning
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| Publication Date: | 2025-02-19 |
| Publisher: | Federated Research Data Repository / dépôt fédéré de données de recherche |
| Funder: | Natural Sciences and Engineering Research Council; Plastics science for a cleaner future; ALLRP 558435 – 20 |
| URI: | https://doi.org/10.20383/103.01159 |
| Related Identifiers: |
This dataset is a supplement to
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| Geographic Coverage: | Place Name Gumi City Gumi Province / Territory / State North Gyeongsang Country South Korea Place Name Cheonan City Cheonan Province / Territory / State South Chungcheong Country South Korea Place Name Gwanpyeong-dong City Gwanpyeong-dong Province / Territory / State Daejeon Country South Korea Place Name Gothenburg City Gothenburg Province / Territory / State Västra Götaland Country Sweden Place Name Sundsvall City Sundsvall Province / Territory / State Västernorrland Country Sweden Place Name Newark City Newark State New Jersey Country United States Place Name San Francisco City San Francisco State California Country United States Place Name El Cerrito City El Cerrito State California Country United States Place Name New Jersey City New Jersey State New Jersey Country United States Place Name Tijuana City Tijuana Province / Territory / State Baja California Country Mexico Place Name Calgary City Calgary Province / Province / Territory Alberta Territory Country Canada Place Name Saskatoon City Saskatoon Province / Province / Territory Saskatchewan Territory Country Canada Place Name Vaughan City Vaughan Province / Province / Territory Ontario Territory Country Canada Place Name Kitchener City Kitchener Province / Province / Territory Ontario Territory Country Canada Place Name Wuhan City Wuhan Province / Territory / State Hubei Country China Place Name Shanghai City Shanghai Province / Territory / State Shanghai Country China Place Name Beijing City Beijing Province / Territory / State Beijing Country China Place Name Xifeng City Xifeng Province / Territory / State Guizhou Country China Place Name Paris City Paris Province / Territory / State Île-de-France Country France Place Name Pathum Thani City Pathum Thani Province / Territory / State Pathum Thani Country Thailand Place Name Gold Coast City Gold Coast Province / Territory / State Queensland Country Australia Place Name Perth City Perth Province / Territory / State Western Australia Country Australia Place Name Bushehr City Bushehr Province / Territory / State Bushehr Country Iran Place Name Tokyo City Tokyo Province / Territory / State Tokyo Country Japan |
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Access to this dataset is subject to the following terms:
Creative Commons Attribution 4.0 International (CC BY 4.0) https://creativecommons.org/licenses/by/4.0/
Citation
Reshadi, M., Rezanezhad, F., Shahvaran, A., Ghajari, A., Kaykhosravi, S., Stephanie, S., Van Cappellen, P. (2025). A Deployable Model and Global Dataset on Stormwater Microplastic Concentrations and Drivers. Federated Research Data Repository. https://doi.org/10.20383/103.01159
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