Abstract

To quantify the hydrological effects of disconnected impervious area is significant for urban planning and storm water management. Most relevant studies were event-based analysis and only focused on surface runoff. The accumulated impacts of disconnected imperviousness on both surface and subsurface runoff have not been fully understood yet. In this study, a physically based model coupling surface runoff, subsurface runoff and evapotranspiration was constructed for continuous simulation of the hydrological processes in an RPA (receiving pervious area)–DIA (disconnected impervious area) system at street block scale. Five RPA types with natural clay loam, compacted clay loam, natural sandy clay loam and depressed clay loam were considered. For each RPA type, urban development scenarios with varying disconnected impervious area ratios (DIRs) were designed. The results presented that both the annual total and averaged event-based surface runoff followed a generally Power form relationship with DIR for all the RPA types, which can be satisfactorily described by a concise and meaningful formula. Disconnected impervious surface can lead to higher event-based initial soil moistures, and it is much more significant when during dry months (autumn and winter) with less potential evapotranspiration intensity than during wet months (spring and summer). This results imply the importance to take the potential increased initial soil moisture of RPA and the corresponded increased runoff generation into consideration of storm water management when imperviousness disconnection is applied. At last, with the increase of DIR, the annual total groundwater recharge had a tendency to rise first and then decrease. This proves the possibility of improving underground water resource storage or maintain the groundwater recharge to the predeveloped level in the process of urban imperviousness expanding. Since this simulation work lacks on-ground validation, further studies based on the conclusions are still needed from the perspective of measured data analysis in urban RPA-DIA system.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.