scholarly journals Reservoir Inflow Prediction by Employing Response Surface-Based Models Conjunction with Wavelet and Bootstrap Techniques

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Muhammad Ahmed Shehzad ◽  
Adnan Bashir ◽  
Muhammad Noor Ul Amin ◽  
Saima Khan Khosa ◽  
Muhammad Aslam ◽  
...  
Keyword(s):  
Response Surface ◽  
Response Surface Model ◽  
Series Data ◽  
Surface Model ◽  
First Order ◽  
Daily Streamflow ◽  
Quadratic Response Surface ◽  
Quadratic Response ◽  
Reservoir Inflow ◽  
Inflow Prediction

Reservoir inflow prediction is a vital subject in the field of hydrology because it determines the flood event. The negative impact of the floods could be minimized greatly if the flood frequency is predicted accurately in advance. In the present study, a novel hybrid model, bootstrap quadratic response surface is developed to test daily streamflow prediction. The developed bootstrap quadratic response surface model is compared with multiple linear regression model, first-order response surface model, quadratic response surface model, wavelet first-order response surface model, wavelet quadratic response surface model, and bootstrap first-order response surface model. Time series data of monsoon season (1 July to 30 September) for the year 2010 of the Chenab river basin are analyzed. The studied models are tested by using performance indices: Nash–Sutcliffe coefficient of efficiency, mean absolute error, persistence index, and root mean square error. Results reveal that the proposed model, i.e., bootstrap quadratic response surface shows good performance and produces optimum results for daily reservoir inflow prediction than other models used in the study.

Optimization of Capacitive Deionization for Salt Removal from Water with Response Surface Methodology

2013 ◽  
Vol 368-370 ◽  
pp. 257-260
Author(s):  
Yan Zhao ◽  
Xiao Min Hu ◽  
Bin Hui Jiang ◽  
Shu Fan Ye ◽  
Liang Li ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Response Surface Model ◽  
Surface Model ◽  
Optimum Level ◽  
Capacitive Deionization ◽  
Efficient Treatment ◽  
Flow Rates ◽  
Quadratic Response Surface ◽  
Quadratic Response

A efficient treatment method capacitive deionization (also called electrosorption) against high salinity and ionic concentration in wastewater or groundwater was discussed. Response surface methodology was used to investigate the effect of electrodes potentials, distance between electrodes plates and flow rates on the desalination rate from water. A quadratic response surface model and optimum level values were obtained based on experimental data under box-behnken design (BBD) of software Design-Expert 8.0. The results showed that the maximum desalination rate was 59.05% on the optimal conditions of potentials, distance between electrodes plates and flow rates were 1.6 V, 2 mm, and 21.32 ml/min, respectively. The analysis of variance on quadratic response surface model indicated that regression model reached significant level, fit well and its reliability and accuracy were in the practicable extent, coinciding with the experimental results perfectly.

scholarly journals Valorization of Industrial Vegetable Waste Using Dilute HCl Pretreatment

Processes ◽  
2019 ◽  
Vol 7 (11) ◽  
pp. 853 ◽  
Author(s):  
Donald Blue ◽  
Dhan Fortela ◽  
William Holmes ◽  
David LaCour ◽  
Shayla LeBoeuf ◽  
...  
Keyword(s):  
Organic Acids ◽  
Response Surface ◽  
Surface Model ◽  
Vegetable Waste ◽  
Surface Design ◽  
Pretreatment Condition ◽  
Biochemical Processes ◽  
Quadratic Response Surface ◽  
Quadratic Response ◽  
Composite Response

A solid vegetable waste stream was subjected to dilute acid (HCl) pretreatment with the goal of converting the waste into a form that is amenable to biochemical processes which could include microbial lipids, biohydrogen, and volatile organic acids production. Specifically, this study was conducted to identify the most suitable pretreatment condition that maximizes the yield or concentration of sugars while minimizing the production of compounds which are inhibitory to microbes (i.e., furfural, hydroxymethylfurfural, and organic acids). Temperatures from 50–150 °C and HCl loading from 0–7 wt % were studied to using an orthogonal central composite response surface design with eight center points. The effects of the variables under study on the resulting concentrations of sugars, organic acids, and furans were determined using the quadratic response surface model. Results indicated that the biomass used in this study contains about 5.7 wt % cellulose and 83.8 wt % hemicellulose/pectin. Within the experimental design, the most suitable pretreatment condition was identified to be at 50 °C and 3.5 wt % HCl. A kinetic study at this condition indicated process completion at 30 mins. that produced a hydrolyzate that contains 31.30 ± 0.44 g/L sugars and 7.40 ± 0.62 g/L organic acids. At this condition, a yield of ~0.47 g sugar/g of dry solid vegetable waste was obtained. The absence of furans suggests the suitability of the resulting hydrolyzate as feedstock for biochemical processes. The results suggested that the sugar concentration of the pretreated biomass is highly affected by the presence of other compounds such as amines, amino acids, and proteins. The effect however, is minimal at low levels of HCl where the highest total sugar production was observed.

scholarly journals Optimization of Simultaneous Chemical and Biological Mineralization of Perchloroethylene

1999 ◽  
Vol 65 (6) ◽  
pp. 2784-2788 ◽  
Author(s):  
Fati˙h Büyüksönmez ◽  
Thomas F. Hess ◽  
Ronald L. Crawford ◽  
Andrzej Paszczynski ◽  
Richard J. Watts
Keyword(s):  
Hydrogen Peroxide ◽  
Ferrous Iron ◽  
Cell Number ◽  
Response Surface Model ◽  
The Other ◽  
Surface Model ◽  
Xanthobacter Flavus ◽  
Quadratic Response Surface ◽  
Quadratic Response ◽  
Central Composite

ABSTRACT Optimization of the simultaneous chemical and biological mineralization of perchloroethylene (PCE) by modified Fenton’s reagent and Xanthobacter flavus was investigated by using a central composite rotatable experimental design. Concentrations of PCE, hydrogen peroxide, and ferrous iron and the microbial cell number were set as variables. Percent mineralization of PCE to CO2 was investigated as a response. A second-order, quadratic response surface model was generated and fit the data adequately, with a correlation coefficient of 0.72. Analysis of the results showed that the PCE concentration had no significant effect within the tested boundaries of the model, while the other variables, hydrogen peroxide and iron concentrations and cell number, were significant at α = 0.05 for the mineralization of PCE. The 14C radiotracer studies showed that the simultaneous chemical and biological reactions increased the extent of mineralization of PCE by more than 10% over stand-alone Fenton reactions.

Sign in / Sign up

Export Citation Format

Share Document