4.4 Editorial Material

Discussion of Orifice Spillway Aerator: Hydraulic Design by V. V. Bhosekar, V. Jothiprakash, and P. B. Deolalikar

Journal

JOURNAL OF HYDRAULIC ENGINEERING
Volume 141, Issue 1, Pages -

Publisher

ASCE-AMER SOC CIVIL ENGINEERS
DOI: 10.1061/(ASCE)HY.1943-7900.0000932

Keywords

-

Ask authors/readers for more resources

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.4
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

Article Engineering, Environmental

Experimental and numerical study of flow at a 90 degree lateral turn-out with enhanced roughness coefficient and invert elevation changes

Maryam Bagheri, Seyed M. Ali Zomorodian, Masih Zolghadr, H. Md Azamathulla, C. Venkata Siva Rama Prasad

Summary: The study investigated flow separation at the upstream side of lateral turnouts, proposing methods to reduce the separation zone dimensions through the use of roughening elements and different bed level inverts. Experimental results and a 3-D CFD model confirmed the effectiveness of these methods in reducing the separation zone.

WATER SUPPLY (2022)

Article Engineering, Environmental

Prediction of manning's coefficient of roughness for high-gradient streams using M5P

Parveen Sihag, Balraj Singh, Md Azlin Bin Md Said, H. Md Azamathulla

Summary: The study revealed that the pruned M5P approach outperformed other methods in predicting the coefficient of Manning's roughness for hydraulic designing, with high correlation coefficients and low errors.

WATER SUPPLY (2022)

Article Engineering, Environmental

Hydraulic transients for a pipe line network of treated effluent rising main using SAP 2R

Ajmal Hussain, Muhammad Mustafa, Hazi Mohammad Azamathullah, M. R. Sadique

Summary: Hydraulic transients result from rapid flow changes in pressurized systems, causing pressure surges in pipelines. It is important to provide water hammer protection devices to prevent excessive pressures that may lead to bursts or cavitation.

WATER SUPPLY (2022)

Article Engineering, Mechanical

Partitioning strategy for investigating the prediction capability of bed load transport under varied hydraulic conditions: Application of robust GWO-kernel-based ELM approach

Kiyoumars Roushangar, Saman Shahnazi, Hazi Mohammad Azamathulla

Summary: In this study, the modeling capability of bed load sediment transport under varied hydraulic conditions was investigated using Grey Wolf Optimization based Kernel Extreme Learning Machine (GWO-KELM) and Standard Gradient Descent based Gaussian Process Regression (SGD-GPR) models. The proposed hybrid GWO-KELM model demonstrated consistent performance under different hydraulic conditions.

FLOW MEASUREMENT AND INSTRUMENTATION (2022)

Article Environmental Sciences

Computation of Time of Concentration Based on Two-Dimensional Hydraulic Simulation

Masih Zolghadr, Mohamad R. Rafiee, Fatemeh Esmaeilmanesh, Abazar Fathi, Ravi Prakash Tripathi, Upaka Rathnayake, Sreedhar Rao Gunakala, Hazi Mohammad Azamathulla

Summary: This study aims to present a new method to calculate Time of Concentration (TC) and compare its accuracy with 31 empirical methods. The results show that hydraulic simulation is an efficient method to determine TC, and three empirical methods also have low errors, which can be recommended for the studied area and areas with similar hydrological characteristics.

WATER (2022)

Article Engineering, Environmental

An inverse problem for modeling open channel flow with movable bed

Kiyoumars Roushangar, Roghayeh Ghasempour, Hazi Mohammad Azamathulla

Summary: In this research, a finite difference scheme developed by Richtmeyer is presented for simulating 1D steady/unsteady flow and bed morphology in alluvial channels. Laboratory experiments were conducted to validate the proposed model. The role of sediment transport formulas, coupled uncoupled approaches, and simplification in the mass continuity equation are investigated for improving the simulation. The study also highlights the importance of changing alluvial roughness and the application of a genetic algorithm in optimizing roughness coefficients.

WATER SUPPLY (2023)

Article Chemistry, Analytical

Sensitivity Analysis of Parameters Affecting Wetland Water Levels: A Study of Flood Detention Basin, Colombo, Sri Lanka

Madhawa Herath, Tharaka Jayathilaka, Hazi Mohammad Azamathulla, Vishwanadham Mandala, Namal Rathnayake, Upaka Rathnayake

Summary: Wetlands are vital ecosystems that provide various benefits, but they are also highly endangered due to human activities and climate change. This study in Sri Lanka focused on understanding the key meteorological parameters affecting the water depth of the Colombo flood detention basin. The findings revealed that rainfall was the most significant parameter, along with interesting combinations of parameters like rainfall-nighttime relative humidity, rainfall-evaporation, daytime relative humidity-evaporation, and rainfall-nighttime relative humidity-evaporation, which impacted water level fluctuations.

SENSORS (2023)

Article Physics, Fluids & Plasmas

Experimental Study on the Optimum Installation Depth and Dimensions of Roughening Elements on Abutment as Scour Countermeasures

Masih Zolghadr, Seyed Mohammad Ali Zomorodian, Abazar Fathi, Ravi Prakash Tripathi, Neda Jafari, Darshan Mehta, Parveen Sihag, Hazi Mohammad Azamathulla

Summary: This study investigates the use of roughening elements as devices to intercept the downflow that triggers local scour around bridge abutments. Different widths of abutments were examined under varying hydraulic conditions in a clear-water regime. The results show that roughening elements with thickness and protrusion of P = t = 0.2 L provide the most effective protection.

FLUIDS (2023)

Review Green & Sustainable Science & Technology

The State of the Art in Deep Learning Applications, Challenges, and Future Prospects: A Comprehensive Review of Flood Forecasting and Management

Vijendra Kumar, Hazi Md. Azamathulla, Kul Vaibhav Sharma, Darshan J. Mehta, Kiran Tota Maharaj

Summary: Floods are a devastating natural calamity, and accurate flood forecasts and control are essential to safeguard populations. Deep learning has emerged as a potent tool for improving flood prediction and control by utilizing its capacity to handle massive amounts of data and provide accurate forecasts. This review thoroughly examines the current state of deep learning applications in flood forecasting and management, discusses various aspects including data sources, models, and assessment measures, and highlights challenges and potential directions for future research. It is a valuable resource for academics and professionals working on flood forecasting and management.

SUSTAINABILITY (2023)

Article Green & Sustainable Science & Technology

A Simplified Equation for Calculating the Water Quality Index (WQI), Kalu River, Sri Lanka

Kushan D. Siriwardhana, Dimantha I. Jayaneththi, Ruchiru D. Herath, Randika K. Makumbura, Hemantha Jayasinghe, Miyuru B. Gunathilake, Hazi Md. Azamathulla, Kiran Tota-Maharaj, Upaka Rathnayake

Summary: The water supply system is crucial in the community, but the quality of water sources is deteriorating due to human activities. The Kalu River is a major water resource in Sri Lanka, but there hasn't been enough research on anthropogenic activities in the river. This study analyzes the spatiotemporal variation of the water quality in the Kalu River, emphasizing the importance of continuous water quality monitoring.

SUSTAINABILITY (2023)

Article Engineering, Environmental

Performance of a right-triangle stilling basin: a laboratory investigation

Asma Rabiei, Jahanshir Mohammadzadeh-Habili, Aaron Anil Chadee, Seyed Mohammadali Zomorodian, Mohammad Jameel, Hazi Mohammad Azamathulla

Summary: The hydraulic jump stilling basin is commonly used for dissipating energy from supercritical flow. A mathematical relationship between the sequent flow depth ratio of a hydraulic jump and the inflow Froude number and relative length of the basin front was derived through dimensional analysis. The proposed structure stabilized the hydraulic jump and improved energy dissipation performance. Experimental and numerical simulations showed the formation of large recirculation regions, leading to intense energy dissipation in the right-triangle basin.

WATER SUPPLY (2023)

Article Construction & Building Technology

A Performance-Based Design Framework for Enhanced Asphalt Concrete in the Caribbean Region

Lee P. Leon, Karishma Roopnarine, Hazi Mohammad Azamathulla, Aaron Anil Chadee, Upaka Rathnayake

Summary: Recent research has been primarily focused on the introduction, development, and evaluation of performance-based specifications for asphalt concrete mixture design. In the Caribbean, most laboratories solely use the Volumetric Marshall Mix design methodology, which has been criticized for its limitations. Performance-Based Mix Design (PBMD) has emerged as an alternative approach that incorporates performance testing alongside volumetric parameters. This study presents the findings of comprehensive laboratory research aimed at developing a PBMD framework for asphalt concrete mixtures.

BUILDINGS (2023)

Article Construction & Building Technology

Influence of Crumb Rubber and Coconut Coir on Strength and Durability Characteristics of Interlocking Paving Blocks

Sajani Gamage, Sandini Palitha, D. P. P. Meddage, Shayani Mendis, Hazi Md Azamathulla, Upaka Rathnayake

Summary: This study investigated the strength and durability characteristics of Interlocking Paving Blocks (IPB) in the presence of waste materials, crumb rubber (CR) and coconut coir fibers (CCF). The findings showed that CCF can increase compressive and split tensile strength, while CR-based IPBs exhibited improved skid resistance. This research highlights the importance of incorporating waste materials in the IPB industry.

BUILDINGS (2022)

Article Water Resources

Comparing Combined 1D/2D and 2D Hydraulic Simulations Using High-Resolution Topographic Data: Examples from SriLanka-Lower Kelani River Basin

Jayanga T. Samarasinghe, Vindhya Basnayaka, Miyuru B. Gunathilake, Hazi M. Azamathulla, Upaka Rathnayake

Summary: The application of numerical models in understanding flood behavior is common, but selecting the right hydraulic model is crucial for reliable predictions. 1D models have been replaced by 2D or combined 1D/2D models, with HEC-RAS being widely used. However, there is limited comparison research in the literature. This study used a case study of the Kelani River basin to find that the combined 1D/2D HEC-RAS model outperforms others in predicting flow and inundation.

HYDROLOGY (2022)

Article Construction & Building Technology

Interpretation of Machine-Learning-Based (Black-box) Wind Pressure Predictions for Low-Rise Gable-Roofed Buildings Using Shapley Additive Explanations (SHAP)

Pasindu Meddage, Imesh Ekanayake, Udara Sachinthana Perera, Hazi Md Azamathulla, Md Azlin Md Said, Upaka Rathnayake

Summary: This study used tree-based regression models to predict wind pressure coefficients of gable-roofed buildings and explained the predictions using SHAP. The results show that the tree-based models are both efficient and accurate in predicting wind pressure coefficients.

BUILDINGS (2022)

No Data Available