Optimal Foundation System for a Storage Tank in Liquefiable Soil—A Case Study

Author(s):  
Sampat Raj ◽  
V. K. Panwar ◽  
Sanjoy Bhowmik
Author(s):  
Leily Nurul Komariah ◽  
Susila Arita ◽  
Baikuni E Prianda ◽  
Tri K Dewi

Author(s):  
Jing Peng ◽  
Jiayi Ouyang ◽  
Lei Yu

Abstract A sponge airport is a new concept of airport stormwater management, which can effectively relieve airport flooding and promote the usage of rainwater resources, often including the application of low impact development (LID) facilities. Although many airports in China have been chosen to implement sponge airport construction, there is a lack of quantitative evaluation on the effect of LID facilities. This paper takes Beijing Daxing International Airport as a case study and develops a comprehensive evaluation on the effect of LID facilities using the storm water management model (SWMM). The performance of four LID design scenarios with different locations and sizes of the rain barrel, the vegetative swale, the green roof, and the storage tank were analyzed. After LID, the water depth of J7 reduces from 0.6 m to 0.2 m, and duration of accumulated water reduces from 5 hours to 2.5 hours. The water depth of J17 reduces from 0.5 m to 0.1 m, and duration of accumulated water reduces from 2 hours to 15 minutes. The capacity of conduits has been greatly improved (Link 7 and Link 17). The application of LID facilities greatly improves rainwater removal capacity and effectively alleviates the waterlogging risk in the study area.


2000 ◽  
Vol 126 (4) ◽  
pp. 221-228 ◽  
Author(s):  
Vincent Gauthier ◽  
Marie-Claude Besner ◽  
Benoit Barbeau ◽  
Robert Millette ◽  
Michèle Prévost

Author(s):  
J. Quintero ◽  
S. Saldanha ◽  
M. Millen ◽  
A. Viana da Fonseca ◽  
S. Sargin ◽  
...  
Keyword(s):  

Water ◽  
2018 ◽  
Vol 10 (12) ◽  
pp. 1849 ◽  
Author(s):  
Mahmood Mahmoodian ◽  
Jairo Arturo Torres-Matallana ◽  
Ulrich Leopold ◽  
Georges Schutz ◽  
Francois H. L. R. Clemens

In this study, applicability of a data-driven Gaussian Process Emulator (GPE) technique to develop a dynamic surrogate model for a computationally expensive urban drainage simulator is investigated. Considering rainfall time series as the main driving force is a challenge in this regard due to the high dimensionality problem. However, this problem can be less relevant when the focus is only on short-term simulations. The novelty of this research is the consideration of short-term rainfall time series as training parameters for the GPE. Rainfall intensity at each time step is counted as a separate parameter. A method to generate synthetic rainfall events for GPE training purposes is introduced as well. Here, an emulator is developed to predict the upcoming daily time series of the total wastewater volume in a storage tank and the corresponding Combined Sewer Overflow (CSO) volume. Nash-Sutcliffe Efficiency (NSE) and Volumetric Efficiency (VE) are calculated as emulation error indicators. For the case study herein, the emulator is able to speed up the simulations up to 380 times with a low accuracy cost for prediction of the total storage tank volume (medians of NSE = 0.96 and VE = 0.87). CSO events occurrence is detected in 82% of the cases, although with some considerable accuracy cost (medians of NSE = 0.76 and VE = 0.5). Applicability of the emulator for consecutive short-term simulations, based on real observed rainfall time series is also validated with a high accuracy (NSE = 0.97, VE = 0.89).


2013 ◽  
Vol 2 (2) ◽  
pp. 109-118 ◽  
Author(s):  
C. Matos ◽  
C. Santos ◽  
S. Pereira ◽  
I. Bentes ◽  
Monzur Imteaz

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