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Mr. Prateek Singh
Ph.D. (Fluid Mechanics)

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Research Keywords & Expertise

0 Civil Engineering
0 Environmental Engineering
0 Hydrogeology
0 Hydrology
0 Fluvial Hydraulics

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Short Biography

The belief that education is priceless when it is used to serve back to the environment and community has always been my personal belief. My enthusiasm coupled with the scope for innovations and opportunities accessible in water resource specialization has always motivated me to opt for higher studies and contribute to this field through significant research. A few years back, I desired a Ph.D. degree where I wanted to naturally exercise my skills as a scholar, which has been provided to me by Dr. Xiaonan Tang at XJTLU by making me an integral part of the National Natural Science Foundation of China (NSFC- 11772270) project. My curiosity for pursuing this Ph.D. opportunity was also sparked by topics such as fluvial hydraulics and computational fluid mechanics, which has now opened the gate for me to experience practical and application front of these topics through the well fabricated and equipped hydraulic lab of XJTLU with a multi-purposed water flume of state of the art initiated and designed by Dr. Tang. Understanding the flow structure of the asymmetric compound channel studies outcome will provide a scientific basis for river flood regulation, urban river landscape design, flood risk, and environmental assessment, and the transport and control of pollutants. The primary aim of this project is to understand the flow structure of an asymmetric compound channel by investigating the velocity and turbulence characteristics of an asymmetric compound channel.

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Journal article
Published: 20 May 2021 in Water
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This study explores the quality of data produced by Global Precipitation Measurement (GPM) and the potential of GPM for real-time short-term nowcasting using MATLAB and the Short-Term Ensemble Prediction System (STEPS). Precipitation data obtained by rain gauges during the period 2015 to 2017 were used in this comparative analysis. The results show that the quality of GPM precipitation has different degrees efficacies at the national scale, which were revealed at the performance analysis stage of the study. After data quality checking, five representative precipitation events were selected for nowcasting evaluation. The GPM estimated precipitation compared to a 30 min forecast using STEPS precipitation nowcast results, showing that the GPM precipitation data performed well in nowcasting between 0 to 120 min. However, the accuracy and quality of nowcasting precipitation significantly reduced with increased lead time. A major finding from the study is that the quality of precipitation data can be improved through blending processes such as kriging with external drift and the double-kernel smoothing method, which enhances the quality of nowcast over longer lead times.

ACS Style

Kaiyang Wang; Lingrong Kong; Zixin Yang; Prateek Singh; Fangyu Guo; Yunqing Xu; Xiaonan Tang; Jianli Hao. GPM Annual and Daily Precipitation Data for Real-Time Short-Term Nowcasting: A Pilot Study for a Way Forward in Data Assimilation. Water 2021, 13, 1422 .

AMA Style

Kaiyang Wang, Lingrong Kong, Zixin Yang, Prateek Singh, Fangyu Guo, Yunqing Xu, Xiaonan Tang, Jianli Hao. GPM Annual and Daily Precipitation Data for Real-Time Short-Term Nowcasting: A Pilot Study for a Way Forward in Data Assimilation. Water. 2021; 13 (10):1422.

Chicago/Turabian Style

Kaiyang Wang; Lingrong Kong; Zixin Yang; Prateek Singh; Fangyu Guo; Yunqing Xu; Xiaonan Tang; Jianli Hao. 2021. "GPM Annual and Daily Precipitation Data for Real-Time Short-Term Nowcasting: A Pilot Study for a Way Forward in Data Assimilation." Water 13, no. 10: 1422.

Journal article
Published: 23 March 2021 in Sustainability
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During China’s rapid economic development and urbanization, numerous cases of urban malodorous black river (MBR) have occurred. MBR refers to a polluted urban river that smells bad, is almost black in color, has no aquatic plants or animals, and that consequently causes many social and environmental problems. The Chinese government has sought public participation during the whole process of MBR treatment as part of a comprehensive action plan to improve residents’ satisfaction with their environment. To investigate the influencing factors of public participation and satisfaction, a questionnaire survey was conducted among residential communities close to an MBR. SPSS 22.0 was employed to conduct an analysis of the collected data, using factor analysis, correlation analysis, and linear regression analysis. The results indicate that there is a direct relationship between public satisfaction and the factors of government treatment, public perception and public participation behaviors, such as engagement behavior, supervision behavior, health influence, and compensation measures.

ACS Style

Shiwang Yu; Jianxia Bao; Wen Ding; Xue Chen; Xiaonan Tang; Jianli Hao; Wei Zhang; Prateek Singh. Investigating the Relationship between Public Satisfaction and Public Environmental Participation during Government Treatment of Urban Malodorous Black River in China. Sustainability 2021, 13, 3584 .

AMA Style

Shiwang Yu, Jianxia Bao, Wen Ding, Xue Chen, Xiaonan Tang, Jianli Hao, Wei Zhang, Prateek Singh. Investigating the Relationship between Public Satisfaction and Public Environmental Participation during Government Treatment of Urban Malodorous Black River in China. Sustainability. 2021; 13 (6):3584.

Chicago/Turabian Style

Shiwang Yu; Jianxia Bao; Wen Ding; Xue Chen; Xiaonan Tang; Jianli Hao; Wei Zhang; Prateek Singh. 2021. "Investigating the Relationship between Public Satisfaction and Public Environmental Participation during Government Treatment of Urban Malodorous Black River in China." Sustainability 13, no. 6: 3584.

Journal article
Published: 01 September 2020 in Journal of Irrigation and Drainage Engineering
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ACS Style

P. Singh; X. Tang. Zonal and Overall Discharge Prediction Using Momentum Exchange in Smooth and Rough Asymmetric Compound Channel Flows. Journal of Irrigation and Drainage Engineering 2020, 146, 05020003 .

AMA Style

P. Singh, X. Tang. Zonal and Overall Discharge Prediction Using Momentum Exchange in Smooth and Rough Asymmetric Compound Channel Flows. Journal of Irrigation and Drainage Engineering. 2020; 146 (9):05020003.

Chicago/Turabian Style

P. Singh; X. Tang. 2020. "Zonal and Overall Discharge Prediction Using Momentum Exchange in Smooth and Rough Asymmetric Compound Channel Flows." Journal of Irrigation and Drainage Engineering 146, no. 9: 05020003.

Journal article
Published: 12 February 2020 in Journal of Hydro-environment Research
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Discharge calculations and conveyance estimations in rivers are of prime importance during high flow events. Conventional methods using single global resistance parameters are incapable of assessing discharge with high precision; thus incorporating apparent shear into these methods not only improves the results but also addresses the momentum transfer phenomena over sub-sections. Apparent shear stress modelling for asymmetric channels with different geometric and roughness parameters is found to be monotonic and tedious in linear regression. To improve its accuracy and efficiency, one of the modelling tools is to apply adaptive network-based fuzzy inference system (ANFIS). In this paper, apparent shear stress is trained, modeled and tested for a wide range of asymmetric channels including various experimental and field data. It is found that asymmetrical channels have large positive shear force acting at the vertical imaginary interface between the floodplain and main channel. The positive apparent shear force indicates that the slower floodplain flow retards the faster flow in the main channel. Therefore, considering correct shear stress in the discharge estimation will result in higher accuracy. The application of ANFIS in modelling the output variable of apparent shear stress is done using five geometrical and hydraulic parameters of varying range from small-scale experiments to real field measurements as the input variables. The coefficient of determination (R2) for the modeled apparent shear is 0.96, which is exceptionally high as comparison to past models. Furthermore, comparison of discharge calculation using modeled apparent shear stress and other conventional methods has shown that the results obtained using vertical interface shear stress have higher accuracy.

ACS Style

Prateek Kumar Singh; Xiaonan Tang. Estimation of apparent shear stress of asymmetric compound channels using neuro-fuzzy inference system. Journal of Hydro-environment Research 2020, 29, 96 -108.

AMA Style

Prateek Kumar Singh, Xiaonan Tang. Estimation of apparent shear stress of asymmetric compound channels using neuro-fuzzy inference system. Journal of Hydro-environment Research. 2020; 29 ():96-108.

Chicago/Turabian Style

Prateek Kumar Singh; Xiaonan Tang. 2020. "Estimation of apparent shear stress of asymmetric compound channels using neuro-fuzzy inference system." Journal of Hydro-environment Research 29, no. : 96-108.

Journal article
Published: 04 February 2020 in Advances in Water Resources
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Flow within vegetation characterized by non-uniform roughness density is drawing significant research attention given its relevance to a plethora of applications in eco-hydraulics including river restoration, and flow in wetland and marshes. The focus here is on flume experiments and modeling of the mean longitudinal velocity profile in a two layered cylindrical vegetation system. Layer 1 represents the region close to the channel bottom where the flow experiences maximum drag due to the densely placed vegetation, while layer 2 represents the flow region above the short vegetation characterized by a smaller vegetation density. Considering the aforementioned arrangements, a new analytical model based on Reynolds-averaged closure principles is proposed to describe the vertical distribution of mean streamwise velocity in an open channel with two different vegetation densities. In the proposed model, the one-dimensional steady and planar-homogeneous momentum equation is used where the turbulent eddy viscosity is assumed to be linearly related to the local mean velocity. The proposed analytical model has been calibrated using experiments reported here in which vegetation is represented by using circular plastic cylinders of two different heights. The proposed model is further tested against published experiments with similar arrangements. In total, 22 different experimental conditions with distinct densities, rigidity, and flow depths have been analyzed. The Root Mean Square Error (RMSE) of the velocity comparisons is found to be less than 0.0342 m/s, which is acceptable.

ACS Style

H.R. Rahimi; X. Tang; P. Singh; M. Li; S. Alaghmand. Open channel flow within and above a layered vegetation: Experiments and first-order closure modeling. Advances in Water Resources 2020, 137, 103527 .

AMA Style

H.R. Rahimi, X. Tang, P. Singh, M. Li, S. Alaghmand. Open channel flow within and above a layered vegetation: Experiments and first-order closure modeling. Advances in Water Resources. 2020; 137 ():103527.

Chicago/Turabian Style

H.R. Rahimi; X. Tang; P. Singh; M. Li; S. Alaghmand. 2020. "Open channel flow within and above a layered vegetation: Experiments and first-order closure modeling." Advances in Water Resources 137, no. : 103527.

Journal article
Published: 01 February 2020 in Journal of Hydrologic Engineering
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This paper studies the effects of different types and configurations of double layer vegetation on the flow of open channels. The vegetation is simulated through cylindrical dowels with a diameter of 6.35 mm and heights of 10 and 20 cm, which represent short and tall dowels, respectively. Profiles for instantaneous velocities were obtained by acoustic Doppler velocimetry (ADV) at different locations around vegetation with multiple staggered and linear formations. The experiment covers a wide range of sparse to dense vegetation configurations. Furthermore, different flow depths were selected to simulate fully submerged cases for short vegetation and to capture the inflection of velocity over the mixing region between short and tall dowels. The results reveal that the velocity profile is mostly uniform at the depth of short vegetation in different configurations with various densities. The velocity starts to increase in the region near the top edge of short vegetation, followed by a significant increase through the height of tall vegetation to the free surface. Generally, the flow velocity behind the vegetation layer is significantly smaller than that in free regions adjacent to short and tall vegetation. The overall idea of the present study was to simulate the same sets of vegetation configurations using a K-ε model with mesh sensitivity analysis to capture inflections over the short vegetation region. The experimental investigations with a numerical study were explored for double layer vegetation, which was corroborated and found to have good agreement for different vegetation configurations.

ACS Style

H. R. Rahimi; X. Tang; P. Singh. Experimental and Numerical Study on Impact of Double Layer Vegetation in Open Channel Flows. Journal of Hydrologic Engineering 2020, 25, 04019064 .

AMA Style

H. R. Rahimi, X. Tang, P. Singh. Experimental and Numerical Study on Impact of Double Layer Vegetation in Open Channel Flows. Journal of Hydrologic Engineering. 2020; 25 (2):04019064.

Chicago/Turabian Style

H. R. Rahimi; X. Tang; P. Singh. 2020. "Experimental and Numerical Study on Impact of Double Layer Vegetation in Open Channel Flows." Journal of Hydrologic Engineering 25, no. 2: 04019064.

Journal article
Published: 01 December 2019 in Journal of Hydrologic Engineering
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Flow interaction over the interface between main channel and floodplains affects the overall discharge capacity and discharge distribution in compound open channels. Many investigators have attempted to empirically estimate flow interaction in terms of an apparent shear stress acting on the imaginary interface between the main channel and floodplain. However, past models are neither generalized for asymmetric channels nor applied to a wide range of data sets including field data, even though the apparent shear stress for asymmetric channels is found to be higher in comparison to symmetric channels for the same depth of flow. In this paper, using gene expression programming and a back propagation neural network, a generalized dimensionless formula is proposed for predicting percentage shear force and apparent shear stress on the vertical interface between the main channel and floodplain for asymmetric compound channels. The variation of bed characteristics and their dependability on the formula has been tested against a wide range of experimental and river data reported in the previous studies. Statistical analysis shows that the formulas produced in the curve fitting through gene expression and a feedforward back propagation neural network are very satisfactory and better than past models. The exceptionally high accuracy of the proposed models implies that they can be extended to use for a wide range of applications.

ACS Style

P. Singh; X. Tang; H. R. Rahimi. Apparent Shear Stress and Its Coefficient in Asymmetric Compound Channels Using Gene Expression and Neural Network. Journal of Hydrologic Engineering 2019, 24, 04019051 .

AMA Style

P. Singh, X. Tang, H. R. Rahimi. Apparent Shear Stress and Its Coefficient in Asymmetric Compound Channels Using Gene Expression and Neural Network. Journal of Hydrologic Engineering. 2019; 24 (12):04019051.

Chicago/Turabian Style

P. Singh; X. Tang; H. R. Rahimi. 2019. "Apparent Shear Stress and Its Coefficient in Asymmetric Compound Channels Using Gene Expression and Neural Network." Journal of Hydrologic Engineering 24, no. 12: 04019051.

Website
Published: 26 September 2019 in Sustainable Buildings and Structures: Building a Sustainable Tomorrow
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Mineral rock of Travertine can be used as pervious pavement systems. Travertine is suitable for low traffic loads and has the capability of acting as the drainage system. Travertine, as a ‘spongy’ material, allows water to pass through surface and get into the underlying course and permeable sub-base where the water is stored and released slowly into the sub-grade. This paper studies the quantity and quality of infiltrated water indicating that Travertine can reduce the amount of runoff as well as pollution from runoff when water passes through the underlying course and sublayer material. The results are useful for designers to control surface runoff and provide a reference criterion for sustainable design in Travertine pavement via the comparison between total volumes of rainfall and real storage capacity in Travertine pavement.

ACS Style

H.R. Rahimi; X. Tang; Prateek Kumar Singh; S. Rahimi. Using travertine as pervious pavements to control urban-flooding and storm water quality. Sustainable Buildings and Structures: Building a Sustainable Tomorrow 2019, 81 -87.

AMA Style

H.R. Rahimi, X. Tang, Prateek Kumar Singh, S. Rahimi. Using travertine as pervious pavements to control urban-flooding and storm water quality. Sustainable Buildings and Structures: Building a Sustainable Tomorrow. 2019; ():81-87.

Chicago/Turabian Style

H.R. Rahimi; X. Tang; Prateek Kumar Singh; S. Rahimi. 2019. "Using travertine as pervious pavements to control urban-flooding and storm water quality." Sustainable Buildings and Structures: Building a Sustainable Tomorrow , no. : 81-87.

Research article
Published: 17 September 2019 in SN Applied Sciences
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This paper studies the effect of different independent variables related to the characteristics of the compound channels on the kinetic energy and momentum correction coefficients (termed as α and β, respectively) of non-prismatic compound channels. A series of experiments were carried out in a converging compound channel with three converging angles, six width ratios, six relative depths and three relative distances. Meanwhile, flow data sets from three different authors were used for diverging compound channels, which include simple rectangular and trapezoidal cross sections. In the present study, conventional multivariable regression technique and gene expression programming were used for developing different models for calculating kinetic energy and momentum correction coefficients for converging and diverging compound channels, respectively. The independent variables used in the curve fitting process were also tested for their accountability and influence on the proposed models. The developed models were finally established with the validation data set and a natural river system.

ACS Style

P. Singh; B. Naik; X. Tang; K. K. Khatua; A. Kumar; S. Banerjee. Models for kinetic energy and momentum correction coefficients for non-prismatic compound channels using regression and gene expression programming. SN Applied Sciences 2019, 1, 1229 .

AMA Style

P. Singh, B. Naik, X. Tang, K. K. Khatua, A. Kumar, S. Banerjee. Models for kinetic energy and momentum correction coefficients for non-prismatic compound channels using regression and gene expression programming. SN Applied Sciences. 2019; 1 (10):1229.

Chicago/Turabian Style

P. Singh; B. Naik; X. Tang; K. K. Khatua; A. Kumar; S. Banerjee. 2019. "Models for kinetic energy and momentum correction coefficients for non-prismatic compound channels using regression and gene expression programming." SN Applied Sciences 1, no. 10: 1229.

Original article
Published: 05 January 2019 in Environmental Fluid Mechanics
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This paper presents a descriptive analysis of the double layer vegetation flow and the application of different empirical models for velocity distribution in vegetation flow. To establish the models, extensive experiments are carried out using plastic dowels of differential heights, configurations and densities. The previous models based on empiricism and momentum balance are applied here and found to work satisfactorily. However, it is found out that the boundary conditions play a significant role to capture inflection over vegetation level. Furthermore, the most important factor for capturing the inflection above zero plane displacement is to understand the intermediate boundary conditions and their superposition rather than extremum conditions. Therefore a new model for mixing length over the short vegetation height has been suggested. The results from the velocity distributions, turbulence intensity and vorticity of the experimental data are used to derive a new relationship for mixing length under certain assumptions. For establishing the proposed model other researchers’ data are considered and finally corroborated for the validation set, which suggests that the proposed model agrees reasonably well with the measured data.

ACS Style

P. Singh; H. R. Rahimi; X. Tang. Parameterization of the modeling variables in velocity analytical solutions of open-channel flows with double-layered vegetation. Environmental Fluid Mechanics 2019, 19, 765 -784.

AMA Style

P. Singh, H. R. Rahimi, X. Tang. Parameterization of the modeling variables in velocity analytical solutions of open-channel flows with double-layered vegetation. Environmental Fluid Mechanics. 2019; 19 (3):765-784.

Chicago/Turabian Style

P. Singh; H. R. Rahimi; X. Tang. 2019. "Parameterization of the modeling variables in velocity analytical solutions of open-channel flows with double-layered vegetation." Environmental Fluid Mechanics 19, no. 3: 765-784.

Articles
Published: 03 December 2018 in ISH Journal of Hydraulic Engineering
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The study establishes different analytical model for velocity distribution, boundary shear stress, stage–discharge curves and their application to the trapezoidal compound channel. The analytical solution to the depth-integrated Navier–Stokes equations is used for the same, and their results are validated using experimental data and numerical solution. The parameters used to predict the three-dimensional characteristics of the flow field over compound channel in the analytical solution require modelling of friction factor, eddy viscosity coefficient and secondary current term. The Shiono and Knight model (SKM), which is an analytical solution for RANS equation through empiricism, is compared with two similar analytical-based models, viz. K-method and extended SKM, and with one numerical method, i.e. K–ε model through simulation based modelling. The results obtained in the analyses show that the secondary flow parameter plays a vital role and its significance proliferates near side slope where momentum transfers takes place from the main channel to the flood plain. The contrast in the results is shown with the help of variation in percentage error over the cross section, root mean square error and Nash–Sutcliffe efficiency (E).

ACS Style

Prateek Kumar Singh; Kishanjit Kumar Khatua. Lateral dissemination of depth-averaged velocity, boundary shear stress and stage-discharge curves for compound channels. ISH Journal of Hydraulic Engineering 2018, 1 -14.

AMA Style

Prateek Kumar Singh, Kishanjit Kumar Khatua. Lateral dissemination of depth-averaged velocity, boundary shear stress and stage-discharge curves for compound channels. ISH Journal of Hydraulic Engineering. 2018; ():1-14.

Chicago/Turabian Style

Prateek Kumar Singh; Kishanjit Kumar Khatua. 2018. "Lateral dissemination of depth-averaged velocity, boundary shear stress and stage-discharge curves for compound channels." ISH Journal of Hydraulic Engineering , no. : 1-14.

Articles
Published: 13 August 2018 in ISH Journal of Hydraulic Engineering
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In the present investigation, the roughness characteristics of the gravel bed is tested and modelled for the no-load condition. A straight trapezoidal channel having gravel bed surface of grain size D50 as 13.5 mm for no-load condition is used to carry out the investigation. Depth averaged velocity (DAV) and boundary shear stress (BSS) have been measured for five different depths. An improved model for prediction of friction factor is derived as the function of corresponding hydraulic radius and average diameter of the gravel. This improved model is validated with the models of past investigators. Furthermore, BSS is then calculated using Shiono and Knight Method (SKM), which is dependent on the following hydraulic parameters, such as friction factor f, coefficient of eddy viscosity λ and secondary flow term Г. Since friction factor is modelled for the given channel, same model is used to calculate the value of f over the bed, which tests the reliability of the model while using numerical method. The lateral distribution of DAV and BSS is shown for five different flow depths, which elaborate the bed friction due to the no-load condition. Finally, friction factor model is corroborated on two reaches of the natural river.

ACS Style

Prateek Kumar Singh; Kishanjit Kumar Khatua; Sumit Banerjee. Flow resistance in straight gravel bed inbank flow with analytical solution for velocity and boundary shear distribution. ISH Journal of Hydraulic Engineering 2018, 27, 9 -22.

AMA Style

Prateek Kumar Singh, Kishanjit Kumar Khatua, Sumit Banerjee. Flow resistance in straight gravel bed inbank flow with analytical solution for velocity and boundary shear distribution. ISH Journal of Hydraulic Engineering. 2018; 27 (1):9-22.

Chicago/Turabian Style

Prateek Kumar Singh; Kishanjit Kumar Khatua; Sumit Banerjee. 2018. "Flow resistance in straight gravel bed inbank flow with analytical solution for velocity and boundary shear distribution." ISH Journal of Hydraulic Engineering 27, no. 1: 9-22.

Journal article
Published: 05 August 2018 in ISH Journal of Hydraulic Engineering
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ACS Style

Prateek Kumar Singh; Sumit Banerjee; Bandita Naik; Arun Kumar; Kishanjit Kumar Khatua. Lateral distribution of depth average velocity & boundary shear stress in a gravel bed open channel flow. ISH Journal of Hydraulic Engineering 2018, 27, 23 -37.

AMA Style

Prateek Kumar Singh, Sumit Banerjee, Bandita Naik, Arun Kumar, Kishanjit Kumar Khatua. Lateral distribution of depth average velocity & boundary shear stress in a gravel bed open channel flow. ISH Journal of Hydraulic Engineering. 2018; 27 (1):23-37.

Chicago/Turabian Style

Prateek Kumar Singh; Sumit Banerjee; Bandita Naik; Arun Kumar; Kishanjit Kumar Khatua. 2018. "Lateral distribution of depth average velocity & boundary shear stress in a gravel bed open channel flow." ISH Journal of Hydraulic Engineering 27, no. 1: 23-37.

Journal article
Published: 22 May 2018 in International Journal of Applied Science
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The conventional methods for controlling urban-flooding are to build raceway networks to transfer flood water away as quickly as possible. However, due to fast increase of urban population, the conventional methods are facing some problems especially when rainfall intensity is higher than design expectation. The main reason for such problems are due to impervious surfaces. Therefore, pervious pavements, such as porous asphalts or pervious concrete blocks, are now recommended to use by environmental engineers. Compared with conventional pavement surfaces, pervious pavements have lots of benefits although they are relatively expensive to build. This paper introduces the mineral rock of Travertine as the materials for pervious pavements, and describes an experimental model to determine the inflation patterns and storm water quality improvement in flood precipitating simulation. The results indicated that Travertine pavement can not only decrease more than 90%of Copper, Lead and Zinc but also play an important role in urban-flood management with a 50% decrease of storm water.

ACS Style

Hamidreza Rahimi; Xiaonan Tang; Sadra Rahimi; Prateek Kumar Singh. Using Travertine in Pervious Pavement to Control Urban-Flooding and Storm Water Quality. International Journal of Applied Science 2018, 1, p20 -p20.

AMA Style

Hamidreza Rahimi, Xiaonan Tang, Sadra Rahimi, Prateek Kumar Singh. Using Travertine in Pervious Pavement to Control Urban-Flooding and Storm Water Quality. International Journal of Applied Science. 2018; 1 (1):p20-p20.

Chicago/Turabian Style

Hamidreza Rahimi; Xiaonan Tang; Sadra Rahimi; Prateek Kumar Singh. 2018. "Using Travertine in Pervious Pavement to Control Urban-Flooding and Storm Water Quality." International Journal of Applied Science 1, no. 1: p20-p20.

Journal article
Published: 18 December 2017 in ISH Journal of Hydraulic Engineering
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Gravel bed can be categorised into three bed load conditions, i.e. no load, moderate and intense. An experimental investigation was carried out in an open channel flow with gravel bed surface of grain size of D50 values 6.5 mm intense load conditions. The investigation of the roughness characteristics of gravel bed open channel flows under intense load conditions over various discharges and flow depths are presented. Variation of friction factor for the roughness conditions for different flow depths is estimated. The intensity of the bed load is calculated with the help of sediment transport rate. The bed load transport rate for the intense load conditions is also determined from experimentation on gravel beds of 6.5 mm gravel size for different flow depths. Using the data-set of other researchers and present experimental data, a new model as a function of intensity of the bed load transport with respect to Shield’s parameter is formulated. The modified model gives satisfactory results as compared to previous works, which is displayed through error analysis.

ACS Style

S. Banerjee; B. Naik; P. Singh; K. K. Khatua. Flow resistance in gravel bed open channel flows case: intense transport condition. ISH Journal of Hydraulic Engineering 2017, 25, 298 -309.

AMA Style

S. Banerjee, B. Naik, P. Singh, K. K. Khatua. Flow resistance in gravel bed open channel flows case: intense transport condition. ISH Journal of Hydraulic Engineering. 2017; 25 (3):298-309.

Chicago/Turabian Style

S. Banerjee; B. Naik; P. Singh; K. K. Khatua. 2017. "Flow resistance in gravel bed open channel flows case: intense transport condition." ISH Journal of Hydraulic Engineering 25, no. 3: 298-309.

Research article civil engineering
Published: 16 November 2017 in Arabian Journal for Science and Engineering
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In overbank flow due to the interaction mechanism between the main channel and floodplain, the flow property of the compound sections gets affected. The complexity is more when the compound channels have non-prismatic floodplains. Additional complexity occurs during the interaction between the subsections as well as due to non-uniformity of flow through converging parts of the compound channel. For prediction of flow, calculation of energy loss parameters from section to section is an important task for river engineers. In this paper, an experimental investigation for the energy losses of converging compound channels for different flow depths along the converging path is performed. The loss of energy due to contraction and compound geometry for a compound channel is evaluated, and the dependency of energy loss for such channels is analyzed. A generalized multivariable regression model has been developed to predict the energy slope with high accuracy. Using the expression of the energy loss concept, the discharge capacity in the converging compound is found to provide good results as compared to other standard model exists in the literature.

ACS Style

B. Naik; K. K. Khatua; E. Padhi; P. Singh. Loss of Energy in the Converging Compound Open Channels. Arabian Journal for Science and Engineering 2017, 43, 5119 -5127.

AMA Style

B. Naik, K. K. Khatua, E. Padhi, P. Singh. Loss of Energy in the Converging Compound Open Channels. Arabian Journal for Science and Engineering. 2017; 43 (10):5119-5127.

Chicago/Turabian Style

B. Naik; K. K. Khatua; E. Padhi; P. Singh. 2017. "Loss of Energy in the Converging Compound Open Channels." Arabian Journal for Science and Engineering 43, no. 10: 5119-5127.

Original articles
Published: 02 September 2017 in ISH Journal of Hydraulic Engineering
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This paper presents numerical analysis for prediction of depth-averaged velocity distribution of compound channels with converging flood plains. Firstly, a 3D Computational Fluid Dynamics model is used to establish the basic database under various working conditions. Numerical simulation in two phases is performed using the ANSYS-Fluent software. k-ω turbulence model is executed to solve the basic governing equations. The results have been compared with high-quality flume measurements obtained from different converging compound channels in order to investigate the numerical accuracy. Then Artificial Neural Network are trained based on the Back Propagation Neural Network technique for depth-averaged velocity prediction in different converging sections and these test results are compared with each other and with actual data. The study has focused on the ability of the software to correctly predict the complex flow phenomena that occur in channel flows.

ACS Style

B. Naik; K. K. Khatua; Nigel Wright; A. Sleigh; P. Singh. Numerical modeling of converging compound channel flow. ISH Journal of Hydraulic Engineering 2017, 24, 285 -297.

AMA Style

B. Naik, K. K. Khatua, Nigel Wright, A. Sleigh, P. Singh. Numerical modeling of converging compound channel flow. ISH Journal of Hydraulic Engineering. 2017; 24 (3):285-297.

Chicago/Turabian Style

B. Naik; K. K. Khatua; Nigel Wright; A. Sleigh; P. Singh. 2017. "Numerical modeling of converging compound channel flow." ISH Journal of Hydraulic Engineering 24, no. 3: 285-297.