scholarly journals Quantifying Thermal Characteristics of Stormwater through Low Impact Development Systems

Hydrology ◽  
2019 ◽  
Vol 6 (1) ◽  
pp. 16 ◽  
Author(s):  
Charlene LeBleu ◽  
Mark Dougherty ◽  
Keith Rahn ◽  
Amy Wright ◽  
Ryan Bowen ◽  
...  

Urbanization causes alteration of the thermal regime (surface, air, and water) of the environment. Heated stormwater runoff flows into lakes, streams, bays, and estuaries, which potentially increases the base temperature of the surface water. The amount of heat transferred, and the degree of thermal pollution is of great importance to the ecological integrity of receiving waters. This research reports on a controlled laboratory scale test to assess low impact development (LID) stormwater control measure impacts on the thermal characteristics of stormwater runoff. We hypothesize that LID stormwater control measures (SCMs) such as pervious surfaces and rain gardens/bioretention can be used to mitigate the ground level thermal loads from stormwater runoff. Laboratory methods in this study captured and infiltrated simulated stormwater runoff from four infrared heated substrate microcosms (pervious concrete, impervious concrete, permeable concrete pavers, and turf grass), and routed the stormwater through rain garden microcosms. A data logging system with thermistors located on, within, and at exits of the microcosms, recorded resulting stormwater temperature flux. Researchers compared steady state temperatures of the laboratory to previously collected field data and achieved between 30% to 60% higher steady state surface temperatures with indoor than outdoor test sites. This research helps establish baseline data to study heat removal effectiveness of pervious materials when used alone or in combination as a treatment train with other stormwater control measures such as rain gardens/bioretention.

Author(s):  
Tim D. Fletcher ◽  
Jean-Luc Bertrand-Krajewski ◽  
Jérémie Bonneau ◽  
Matthew J. Burns ◽  
Peter J. Poelsma ◽  
...  

Abstract Stormwater control measures (SCMs), also frequently referred to as sustainable urban drainage systems (SUDS), are of growing importance in cities, as part of a global move towards mitigating the impacts of stormwater on receiving environments. They need to be monitored as parts of UDSM systems but require specific and sometimes innovative methods and sensors. This is particularly the case for SCMs such as swales, rain-gardens, bioretention filters, infiltration trenches, green roofs, etc., which have complex and varied configurations and hydrologic behaviour. This chapter deals with measuring the water balance in SCMs by accounting for its various components: inflows, outflows, overflows, storage, infiltration, exfiltration, intrusion, evaporation, and evapotranspiration. It presents a range of suitable methods and tools, indicates key points to consider, and discusses possible difficulties in obtaining accurate monitoring data. Routine monitoring of decentralized and diversified SCMs is still an emerging field for both researchers and practitioners. A significant evolution is therefore expected with its generalization in the next years.


2019 ◽  
Vol 21 (5) ◽  
pp. 727-744 ◽  
Author(s):  
Melika Mani ◽  
Omid Bozorg-Haddad ◽  
Hugo A. Loáiciga

Abstract This paper presents a comprehensive framework for the quantitative management of urban runoff. The framework assesses the response of urban catchments to design rainfall events and identifies low-impact development (LID) stormwater control measures (SCMs) for runoff control and flood mitigation. This research's method determines the optimal areas in which to deploy SCMs to control runoff in urban catchments. The optimization method relies on a three-objective simulation-optimization model that (1) minimizes the volume of runoff at the catchment outlet and at flooding nodes, (2) minimizes the implementation and maintenance costs of LID SCMs, and (3) minimizes the service-performance reduction of LID SCMs. The storm water management model (SWMM) is applied for runoff simulation and is coupled with the multi-objective antlion optimization algorithm (MOALOA). The simulation-optimization method is exemplified with an application to District 6 of Tehran's municipality (Iran). The performance of the simulation-optimization method is compared with that of the multi-objective non-dominated sorting genetic algorithm II (NSGAII), and, after confirming the superior capacity of the MOALOA, the latter algorithm is applied to District 6 of Tehran municipality, Iran. The identified optimal LID SCMs are ranked with the technique for order of preference by similarity to ideal solution (TOPSIS) method that reveals the preferences of the runoff managers concerning SCMs choices. The most desirable solution herein found shows the optimal LID SCMs provide a significant reduction in runoff volume at the catchment outlet and flooding nodes.


2018 ◽  
Vol 10 (10) ◽  
pp. 3666 ◽  
Author(s):  
Andrew Erickson ◽  
Vinicius Taguchi ◽  
John Gulliver

The methods for properly executing inspection and maintenance of stormwater control measures are often ambiguous and inconsistently applied. This paper presents specific guidelines for inspecting and maintaining stormwater practices involving media filtration, infiltration, ponds, and permeable pavements because these tend to be widely implemented and often unsatisfactorily maintained. Guidelines and examples are based on recent scientific research and practitioner experience. Of special note are new assessment and maintenance methods, such as testing enhanced filtration media that targets dissolved constituents, maintaining proper vegetation coverage in infiltration practices, assessing phosphorus release from pond sediments, and the development of compressed impermeable regions in permeable pavements and their implications for runoff. Inspection and maintenance examples provided in this paper are drawn from practical examples in Northern Midwest USA, but most of the maintenance recommendations do not depend on regional characteristics, and guidance from around the world has been reviewed and cited herein.


2021 ◽  
pp. 118008
Author(s):  
Vera S. Koutnik ◽  
Jamie Leonard ◽  
Joel B. Glasman ◽  
Jaslyn Brar ◽  
Hatice Ceylan Koydemir ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document