Enhancing the Storm Water Treatment Performance of Constructed Wetlands and Bioretention Basins

2016. Auflage 2016
ISBN: 978-981-10-1659-2
Verlag: Springer Nature Singapore

Buch, Englisch, 80 Seiten, Format (B × H): 156 mm x 236 mm, Gewicht: 1474 g

Reihe: SpringerBriefs in Water Science and Technology

This book identifies the key hydrologic and hydraulic factors which influence the performance of stormwater quality treatment systems such as constructed wetlands and bioretention basins. Mathematical relationships derived using conceptual models underpinned by fundamental hydraulic theory are presented to predict treatment performance. The key highlights of the book will include the identification of the linkages between influential hydrologic and hydraulic factors for constructed wetlands and bioretention basins to support more accurate prediction of treatment performance and effective design of these types of stormwater treatment systems. Furthermore, this book will showcase an innovative approach for using conceptual models to analyze stormwater treatment system performance.

Zielgruppe

Research

Autoren/Hrsg.

Mangangka, Isri R

Liu, An

Goonetilleke, Ashantha

Egodawatta, Prasanna

Fachgebiete

• Technische Wissenschaften Bauingenieurwesen Boden- und Felsmechanik, Geotechnik
• Technische Wissenschaften Umwelttechnik | Umwelttechnologie Abwasseraufbereitung, Abwasserentsorgung
• Geowissenschaften Geologie Hydrologie, Hydrogeologie
• Technische Wissenschaften Maschinenbau | Werkstoffkunde Technische Mechanik | Werkstoffkunde Hydraulik, Pneumatik
• Technische Wissenschaften Bauingenieurwesen Wasserbau

Inhaltsverzeichnis

Treatment performance of structural stormwater systems.- Creating conceptual models of treatment systems.- Assessing constructed wetland treatment performance.- Assessing bioretention basin treatment performance.- Implications for engineering practice.

Über Autor(innen)

Dr. Isri R. Mangangka is a lecturer in the Civil Engineering Department, Faculty of Engineering, Sam Ratulangi University, Manado, Indonesia. Dr. Mangangka received his PhD degree in Environmental Engineering from Queensland University of Technology (QUT) in 2013. His research interests include urban stormwater quality, hydrologic and hydraulic modeling, and stormwater treatment.

Dr. An Liu is a lecturer in the College of Chemistry and Environmental Engineering, Shenzhen University. Previously, she was a post-doctoral research fellow at the Graduate School at Shenzhen, Tsinghua University and Graduate School of Engineering, Kyoto University. She received Bachelors and Masters in Environmental Science from Wuhan University China, in 2006 and 2008 and PhD degree in Environmental Engineering from Queensland University of Technology (QUT) in 2011. Her research interests include urban stormwater quality, hydrologic modeling, stormwater treatment design and Low Impact Development(LID). Dr Liu has published a research monograph and a number of research papers primarily focusing on urban stormwater quality.

Prof. Ashantha Goonetilleke is a Professor in water/environmental Engineering at Queensland University of Technology (QUT) Australia. He has over three decades of experience in environmental engineering in government, industry and academic sectors, providing sustainable development solutions to industry and the broader community. His areas of research interest include urban stormwater quality, climate change adaptation, water supply resilience and water reuse and recycling. He has published two research monographs and over 150 research papers primarily focusing on urban stormwater quality.

Dr. Prasanna Egodawatta is a Senior Lecturer in water/environmental engineering at Queensland University of Technology (QUT). He has over a decade of experience in both industry and academia in water and environmental engineering fields. The main foci of hiscurrent research are, urban hydrology, stormwater quality and water and environmental systems modeling. He has published extensively in environmental science and environmental engineering fields with key focus on stormwater quantity and quality modeling.