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Urban Flood Risk Reduction by Increasing Green Areas For Adaptation To Climate Change
Enhanced green infrastructure (GI) in urban areas, such as green roofs, parks and green spaces can make a significant contribution to enhancing the provision of fundamental ecosystem services (ES), through nature-based solutions. These positive effects include increasing the interception capacity due to increasing vegetation cover, increasing of storage capacity and infiltration of the soil, thus reducing storm water runoff, producing substantial improvements in the urban drainage system, whose infrastructure is very difficult and expensive to be modified. In this paper an indicator based on the runoff coefficient, which allows quantifying the impact on runoff due to increase of GI is presented. In a second step, a way for relating the indicator with the risk of flooding is proposed. The complete methodology was applied on an urban basin located in the north of Rosario city, Argentina. Four scenarios were evaluated: baseline scenario (current scenario), and three hypothetical (future) scenarios, considering a moderate and severe waterproofing situation respectively, and one green scenario with increased GI. The results show that the moderate and severe waterproofing scenarios produce an increased risk of flooding from 1.9 times to 4 times, respectively. This implies a necessary reinvestment in urban storm water infrastructure in order to keep the original security levels. The green scenario does keep the runoff coefficient, even considering the major increases in population and urbanization. Improving the GI constitutes a strong strategy to adapt to climate and urban changes, to cope with upcoming increases in precipitation and urbanization. ; Fil: Zimmermann, Erik Daniel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario; Argentina. Universidad Nacional de Rosario. Facultad de Ciencias Exactas Ingeniería y Agrimensura. Escuela de Ingeniería Civil. Departamento de Hidráulica; Argentina ; Fil: Bracalenti, Laura. Universidad Nacional de Rosario. Facultad de Arquitectura, Planeamiento y Diseño; Argentina ; Fil: Piacentini, Ruben Dario Narciso. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Instituto de Física de Rosario. Universidad Nacional de Rosario. Instituto de Física de Rosario; Argentina. Universidad Nacional de Rosario. Facultad de Ciencias Exactas Ingeniería y Agrimensura. Escuela de Ingeniería Civil. Departamento de Hidráulica; Argentina ; Fil: Inostroza, Luis. Universidad Autónoma de Chile; Chile. Technische Universität Dresden; Alemania ; World Multidisciplinary Civil Engineering-Architecture-Urban Planning Symposium 2016: WMCAUS 2016 ; Praga ; República Checa ; World Multidisciplinary Civil Engineering-Architecture-Urban Planning Symposium
Urban Flood Risk Reduction by Increasing Green Areas For Adaptation To Climate Change
Enhanced green infrastructure (GI) in urban areas, such as green roofs, parks and green spaces can make a significant contribution to enhancing the provision of fundamental ecosystem services (ES), through nature-based solutions. These positive effects include increasing the interception capacity due to increasing vegetation cover, increasing of storage capacity and infiltration of the soil, thus reducing storm water runoff, producing substantial improvements in the urban drainage system, whose infrastructure is very difficult and expensive to be modified. In this paper an indicator based on the runoff coefficient, which allows quantifying the impact on runoff due to increase of GI is presented. In a second step, a way for relating the indicator with the risk of flooding is proposed. The complete methodology was applied on an urban basin located in the north of Rosario city, Argentina. Four scenarios were evaluated: baseline scenario (current scenario), and three hypothetical (future) scenarios, considering a moderate and severe waterproofing situation respectively, and one green scenario with increased GI. The results show that the moderate and severe waterproofing scenarios produce an increased risk of flooding from 1.9 times to 4 times, respectively. This implies a necessary reinvestment in urban storm water infrastructure in order to keep the original security levels. The green scenario does keep the runoff coefficient, even considering the major increases in population and urbanization. Improving the GI constitutes a strong strategy to adapt to climate and urban changes, to cope with upcoming increases in precipitation and urbanization. ; Fil: Zimmermann, Erik Daniel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario; Argentina. Universidad Nacional de Rosario. Facultad de Ciencias Exactas Ingeniería y Agrimensura. Escuela de Ingeniería Civil. Departamento de Hidráulica; Argentina ; Fil: Bracalenti, Laura. Universidad Nacional de Rosario. Facultad de Arquitectura, Planeamiento y Diseño; Argentina ; Fil: Piacentini, Ruben Dario Narciso. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Instituto de Física de Rosario. Universidad Nacional de Rosario. Instituto de Física de Rosario; Argentina. Universidad Nacional de Rosario. Facultad de Ciencias Exactas Ingeniería y Agrimensura. Escuela de Ingeniería Civil. Departamento de Hidráulica; Argentina ; Fil: Inostroza, Luis. Universidad Autónoma de Chile; Chile. Technische Universität Dresden; Alemania ; World Multidisciplinary Civil Engineering-Architecture-Urban Planning Symposium 2016: WMCAUS 2016 ; Praga ; República Checa ; World Multidisciplinary Civil Engineering-Architecture-Urban Planning Symposium
Urban Flood Risk Reduction by Increasing Green Areas For Adaptation To Climate Change
Zimmermann, Erik Daniel (author) / Bracalenti, Laura (author) / Piacentini, Ruben Dario Narciso (author) / Inostroza, Luis (author) / Drusa, Marian / Yilmaz, Isik / Marschalko, Marian / Coïson, Eva / Segalini, Andrea
Procedia Engineering
Book
Electronic Resource
English
DDC:
710
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