TY - GEN
T1 - Green infrastructure design and performance evaluation
T2 - 54th International Conference of the Architectural Science Association, ANZAScA 2020
AU - Dziubanski, David
AU - Yang, Bo
AU - Meixner, Thomas
N1 - Funding Information: Design drawings were produced by students in LAR 511 Design Studio II class in the Master of Landscape Architecture Program at the University of Arizona. Funding for this work was provided by the National Science Foundation Coupled Human-Natural Systems (CNH) Grant #1518376. We would also like to thank Yoga Korgaonkar, Neha Gupta, and Phil Guertin. Publisher Copyright: © 2020 and published by the Architectural Science Association (ANZAScA).
PY - 2020
Y1 - 2020
N2 - We report a practice-based interdisciplinary design and research project on Green Infrastructure (GI). GI strategies have been widely used in the urban environment to mitigate floods, with various modeling tools employed to forecast design performance. However, current knowledge is based primarily on modeling hypothetical scenarios, with relatively few empirical studies using technical design drawings as the input data for modeling. To address this gap, an interdisciplinary team consisting of experts from landscape architecture and hydrology integrated site design with modeling analysis. The project is focused on the Auto Mall area (28.9 ha) in Tucson, Arizona (USA). The area has the highest impervious cover percentage (86.5%) in the city, making it vulnerable to flash floods during Arizona’s monsoon season. Various GI retrofit designs are proposed, including increasing rainwater harvesting volumes (curb cut, bioswale, cistern), and reducing impervious cover areas (porous pavement, daylighting arroyo). The team completed three different designs and associated technical drawings. Preliminary modeling results show that the designs would provide around 3610 m3 runoff storage volume and reduce the discharge volume by 75% (1-yr 1-hr storms). Detailed analysis is being performed using the KINEROS hydrologic model to further compare the performance of design scenarios and their climateresilience.
AB - We report a practice-based interdisciplinary design and research project on Green Infrastructure (GI). GI strategies have been widely used in the urban environment to mitigate floods, with various modeling tools employed to forecast design performance. However, current knowledge is based primarily on modeling hypothetical scenarios, with relatively few empirical studies using technical design drawings as the input data for modeling. To address this gap, an interdisciplinary team consisting of experts from landscape architecture and hydrology integrated site design with modeling analysis. The project is focused on the Auto Mall area (28.9 ha) in Tucson, Arizona (USA). The area has the highest impervious cover percentage (86.5%) in the city, making it vulnerable to flash floods during Arizona’s monsoon season. Various GI retrofit designs are proposed, including increasing rainwater harvesting volumes (curb cut, bioswale, cistern), and reducing impervious cover areas (porous pavement, daylighting arroyo). The team completed three different designs and associated technical drawings. Preliminary modeling results show that the designs would provide around 3610 m3 runoff storage volume and reduce the discharge volume by 75% (1-yr 1-hr storms). Detailed analysis is being performed using the KINEROS hydrologic model to further compare the performance of design scenarios and their climateresilience.
KW - Ecosystem services
KW - Hydrologic modelling
KW - KINEROS
KW - Urban design
UR - http://www.scopus.com/inward/record.url?scp=85103618688&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85103618688&partnerID=8YFLogxK
M3 - Conference contribution
T3 - Proceedings of the International Conference of Architectural Science Association
SP - 521
EP - 530
BT - ANZAScA 2020 - 54th International Conference of the Architectural Science Association
A2 - Ghaffarianhoseini, Ali
A2 - Ghaffarianhoseini, Amirhosein
A2 - Naismith, Nicola
A2 - Purushothaman, Mahesh Babu
A2 - Doan, Dat
A2 - Aigwi, Esther
A2 - Rotimi, Funmi
A2 - Ghodrati, Nariman
PB - Architectural Science Association
Y2 - 26 November 2020 through 27 November 2020
ER -