scholarly journals The use of low impact development technologies in the attenuation of flood flows in an urban area: Settat city (Morocco) as a case.

2021 ◽  
pp. 100403
Author(s):  
Abderrahmane Ben-Daoud ◽  
Mohamed Ben-Daoud ◽  
Gabriela Adina Moroșanu ◽  
Souad M’ Rabet
Keyword(s):  
Urban Area ◽  
Low Impact Development ◽  
Flood Flows

Simulation and optimization of low impact development for mitigating combined sewer overflows associated with climate change

2019 ◽  
Author(s):  
◽  
Ali Shallal
Keyword(s):  
Urban Area ◽  
Kansas City ◽  
Low Impact Development ◽  
Combined Sewer Overflows ◽  
Sewer System ◽  
University Of Missouri ◽  
Simulation And Optimization ◽  
Time To Peak ◽  
Combined Sewer ◽  
The University

[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT REQUEST OF AUTHOR.] Modeling rainfall runoff can help to understand what is happening throughout the system, how can control of water to prevent flood, and how much the quality of runoff can change in urban area. Modeling sewer system help decision maker to indicate best strategy to prevent flooding, reduce runoff pollution, reduce cost of wastewater treatment and determine best suitable LID to an urban area. This dissertation first starting with analysis the complexity of model necessary to get accepted result in term peak flow, runoff volume, numbers of flooding nodes and time to peak. Modeling requirements may lead to system simplification, as in limiting the size of the pipes included in the analyses. Researchers analyzed the combined sewer system of the urbanized Town Fork Creek catchment in Kansas City, Missouri using PCSWMM to assess the potential impact of the simplifications on hydraulic results.

Optimizing low impact development (LID) for stormwater runoff treatment in urban area, Korea: Experimental and modeling approach

2015 ◽  
Vol 86 ◽  
pp. 122-131 ◽  
Author(s):  
Sang-Soo Baek ◽  
Dong-Ho Choi ◽  
Jae-Woon Jung ◽  
Hyung-Jin Lee ◽  
Hyuk Lee ◽  
...  
Keyword(s):  
Urban Area ◽  
Low Impact Development ◽  
Stormwater Runoff ◽  
Modeling Approach

scholarly journals Prediction Models Based on Regression and Artificial Neural Network for Moduli of Layers Constituted by Open-Graded Aggregates

Materials ◽  
2021 ◽  
Vol 14 (5) ◽  
pp. 1199
Author(s):  
Yunje Lee ◽  
Yongjin Choi ◽  
Donghyun Ahn ◽  
Jaehun Ahn
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Urban Area ◽  
Low Impact Development ◽  
Load Test ◽  
Engineering Properties ◽  
Rapid Urbanization ◽  
Permeable Pavement ◽  
Material Type ◽  
Artificial Neural

The impermeable cover in urban area has been growing due to rapid urbanization, which prevents stormwater from being naturally infiltrated into the ground. There is a higher chance of flooding in urban area covered with conventional concretes and asphalts. The permeable pavement is one of Low-Impact Development (LID) technologies that can reduce surface runoff and water pollution by allowing stormwater into pavement systems. Unlike traditional pavements, permeable pavement bases employ open-graded aggregates (OGAs) with highly uniform particle sizes. There is very little information on the engineering properties of compacted OGAs. In this study, the moduli of open-graded aggregates under various compaction energies are investigated based on the Plate Load Test (PLT) and Light-Weight Deflectometer (LWD). Artificial Neural Network (ANN) and Linear Regression (LR) models are employed for estimation of the moduli of the aggregates based on the material type and level of compaction. Overall, the moduli from PLT and LWD steeply increase until the number of roller passes reaches 4, and they gradually increase until the number of roller passes becomes 8. A set of simple linear equations are proposed to evaluate the moduli of open-graded aggregates from PLT and LWD based on the material type and the number of roller passes.

Life cycle greenhouse-gas emissions from urban area with low impact development (LID)

2013 ◽  
Vol 2 (4) ◽  
pp. 279-290 ◽  
Author(s):  
Dongwook Kim ◽  
Taehyung Park ◽  
Kyounghak Hyun ◽  
Woojin Lee
Keyword(s):  
Life Cycle ◽  
Greenhouse Gas Emissions ◽  
Greenhouse Gas ◽  
Urban Area ◽  
Low Impact Development ◽  
Gas Emissions
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