Conference paper
Using random forest algorithms and globally sourced data to improve floating treatment wetland design and stormwater pond performance
Proceedings of the 12th Urban Drainage Modeling Conference , pp.1-3
Urban Drainage Modeling Conference, 12th (Costa Mesa, United States, 10-Jan-2022 - 12-Jan-2022)
Urban Drainage Modeling
2022
Abstract
No abstract available.
Details
- Title
- Using random forest algorithms and globally sourced data to improve floating treatment wetland design and stormwater pond performance
- Authors
- R Andrew Tirpak (Author) - The Ohio State UniversityKatharina Tondera (Author) - National Research Institute for Agriculture, Food and EnvironmentRebecca Tharp (Author) - Just Water ConsultingKarine E Borne (Author) - IMT AtlantiquePeter Schwammberger (Author) - University of the Sunshine Coast, Queensland, School of Science, Technology and EngineeringJan Ruppelt (Author) - RWTH Aachen UniversityRyan J Winston (Author) - The Ohio State University
- Publication details
- Proceedings of the 12th Urban Drainage Modeling Conference , pp.1-3
- Conference details
- Urban Drainage Modeling Conference, 12th (Costa Mesa, United States, 10-Jan-2022 - 12-Jan-2022)
- Publisher
- Urban Drainage Modeling
- Organisation Unit
- University of the Sunshine Coast, Queensland; School of Science, Technology and Engineering
- Language
- English
- Record Identifier
- 99605105502621
- Output Type
- Conference paper
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