| id |
ecaade2024_371 |
| authors |
Papanikolaou, Kyratsoula-Tereza; Sibetheros, Ioannis; Liapi, Katherine; Vlachaki, Evangelia |
| year |
2024 |
| title |
MARSH: An innovative model for integrating water sensitive urban design in architectural practice |
| source |
Kontovourkis, O, Phocas, MC and Wurzer, G (eds.), Data-Driven Intelligence - Proceedings of the 42nd Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2024), Nicosia, 11-13 September 2024, Volume 2, pp. 89–96 |
| doi |
https://doi.org/10.52842/conf.ecaade.2024.2.089
|
| summary |
This paper introduces MARSH (Model for Assessment of Runoff and Stormwater Harvesting), an architect-friendly urban water model designed for 3D stormwater scenario assessments, integrating Water Sensitive Urban Design (WSUD) principles into architectural practice. Developed in the context of a funded research project UBWARMM (Urban Best Management Practices Model for Rainwater Management) and implemented in Grasshopper, MARSH serves as a comprehensive 3D toolkit for architects to evaluate stormwater scenarios effectively. The purpose of the model is to facilitate sustainable stormwater management and therefore runoff mitigation, and rainwater harvesting enhancement. Key components, including the Time Period Precipitation Calculator, Incident Radiation Analyses, BMP Library, Rainwater Harvesting Cistern Component, Roof/Inner Block Void Runoff Calculator, and Runoff Visualization, contribute to MARSH's robust structure. The conceptualization outlines precise data requirements, incorporating historical climate data and geometry datasets. Assessing Best Management Practices (BMPs) performance, MARSH delivers both numerical outputs (irrigation percentages, runoff reduction) and visual representations. MARSH's objectives encompass simplified processes, light data entry, accurate simulation, flexibility, a user-friendly interface, and result visualization. The research explores estimation methods, utilizing the Penman-Monteith equation for BMPs irrigation demands and the Soil Conservation Service Curve Number (SCS-CN) method for runoff estimation, addressing challenges related to runoff control and irrigation considerations. The model's adaptability, user-friendly interface, and visualization tools facilitate informed decision-making, in regions where WSUD integration is of critical importance. Validation through a case study in Athens provides insights for future studies, showcasing adaptability to different timeframes and scalability for city-scale applications. The potential of MARSH for both micro and macro-level stormwater management applications is also discussed in the paper. |
| keywords |
Urban Water Management, Water Sensitive Urban Design (WSUD), Stormwater Management, Grasshopper, Sustainable Practices, 3D Visualization, Best Management Practices (BMPs), Rainwater Harvesting |
| series |
eCAADe |
| email |
arc888@upnet.gr |
| full text |
 file.pdf (1,077,067 bytes) |
| references |
Content-type: text/plain
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| last changed |
2024/11/17 22:05 |
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