<abstract xmlns="http://www.w3.org/1999/xhtml"><p>Surface roughness has an important role in retarding the runoff velocity. The increase in paving blocks usage, particularly in urban areas, can change the surface roughness of the land. This study investigated the effects of four types of concrete block pavements (CBPs) in retarding the surface runoff velocity. Three design parameters based on CBP properties that considerably influenced the flow retardation were promoted. They were opening ratio (Or), void ratio (Vr) and straight channel ratio (Sr). A tilted plot equipped with a rainfall simulator was used to investigate the influence of surface slope and rainfall intensity to the flow on various CBPs. A modified dye tracing method in view was performed to monitor the surface flow velocity under various rainfall intensities. Flow retardation coefficient (Frd) were calculated based on velocity data on smooth pavement and on CBPs layer measured under the same slope and rainfall intensity. The results showed that flow retardation coefficient increased with an increase in openings ratio, rainfall intensity and surface slope. The relationship between flow retardation coefficient and all design parameters was expressed by a linear regression function. A further study is required to increase the accuracy of the model by modifying the regression function and increasing the variation of design parameters.</p></abstract>

Surface roughness has an important role in retarding the runoff velocity. The increase in paving blocks usage, particularly in urban areas, can change the surface roughness of the land. This study investigated the effects of four types of concrete block pavements (CBPs) in retarding the surface runoff velocity. Three design parameters based on CBP properties that considerably influenced the flow retardation were promoted. They were opening ratio (Or), void ratio (Vr) and straight channel ratio (Sr). A tilted plot equipped with a rainfall simulator was used to investigate the influence of surface slope and rainfall intensity to the flow on various CBPs. A modified dye tracing method in view was performed to monitor the surface flow velocity under various rainfall intensities. Flow retardation coefficient (Frd) were calculated based on velocity data on smooth pavement and on CBPs layer measured under the same slope and rainfall intensity. The results showed that flow retardation coefficient increased with an increase in openings ratio, rainfall intensity and surface slope. The relationship between flow retardation coefficient and all design parameters was expressed by a linear regression function. A further study is required to increase the accuracy of the model by modifying the regression function and increasing the variation of design parameters.

Effects of Concrete Block Pavement on Flow Retardation Factor

Faculty of Engineering, Civil Engineering Department

Journal of Applied Engineering Sciences

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

{"article-title":"Effects of Concrete Block Pavement on Flow Retardation Factor"}

Surface roughness has an important role in retarding the runoff velocity. The increase in paving blocks usage, particularly in urban areas, can change the...

Effects of Concrete Block Pavement on Flow Retardation Factor

Published Online: Jul 14, 2017

Page range: 28 - 36

Received: Dec 16, 2016

Accepted: Jan 20, 2017

DOI: https://doi.org/10.1515/jaes-2017-0004

Keywords
sustainable urban drainage system, low impact development, surface runoff, hydrological model, paving blocks

© 2017 Laksni Sedyowati et al., published by De Gruyter Open

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Effects of Concrete Block Pavement on Flow Retardation Factor

Published Online: Jul 14, 2017

Page range: 28 - 36

Received: Dec 16, 2016

Accepted: Jan 20, 2017

DOI: https://doi.org/10.1515/jaes-2017-0004

Keywordssustainable urban drainage system, low impact development, surface runoff, hydrological model, paving blocks

© 2017 Laksni Sedyowati et al., published by De Gruyter Open

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Keywords
sustainable urban drainage system, low impact development, surface runoff, hydrological model, paving blocks