Abdalrahman Alsulaili

Abdalrahman Alsulaili

Kuwait University

H-index: 12

Asia-Kuwait

About Abdalrahman Alsulaili

Abdalrahman Alsulaili, With an exceptional h-index of 12 and a recent h-index of 11 (since 2020), a distinguished researcher at Kuwait University, specializes in the field of Environmental engineering, waste management, Water treatment, Wastewater treatment.

His recent articles reflect a diverse array of research interests and contributions to the field:

Enhancing Marina Sustainability: Water Quality and Flushing Efficiency in Marinas

Selection of municipal solid waste disposal technology using the Analytic Hierarchy Process and Genetic Algorithm for Gulf Cooperation Council Countries

Toward sustainable waste management: estimating emissions from alternative practices in Gulf Cooperation Council countries

Adsorption capacity of activated carbon derived from date seeds: characterization, optimization, kinetic and equilibrium studies

Prediction of Sea Level in the Arabian Gulf Using Artificial Neural Networks

Utilization of Agriculture Waste Materials as Sustainable Adsorbents for Heavy Metal Removal: A Comprehensive Review

Modeling the impact of reducing sulfur content of liquid fuels consumed by power plants on the air quality of Kuwait using AERMOD

Assessing the impacts of meteorological factors on freshwater consumption in arid regions and forecasting the freshwater demand

Abdalrahman Alsulaili Information

University

Kuwait University

Position

___

Citations(all)

392

Citations(since 2020)

334

Cited By

120

hIndex(all)

12

hIndex(since 2020)

11

i10Index(all)

13

i10Index(since 2020)

13

Email

University Profile Page

Kuwait University

Abdalrahman Alsulaili Skills & Research Interests

Environmental engineering

waste management

Water treatment

Wastewater treatment

Top articles of Abdalrahman Alsulaili

Enhancing Marina Sustainability: Water Quality and Flushing Efficiency in Marinas

Authors

Mohamad Alkhalidi,Abdalrahman Alsulaili

Journal

Journal of Marine Science and Engineering

Published Date

2024/4/12

Coastal marinas are particularly susceptible to pollution due to their limited flushing capabilities and ineffective management practices. Therefore, it is necessary to implement measures that promote enhanced sustainability. This study aims to explore the intricate relationship between tidal flushing characteristics and water quality within marinas to foster sustainable development and management practices that mitigate environmental impacts. The research scrutinized seven marinas along the Kuwait coastline, each exhibiting unique hydrodynamic conditions and geometric configurations. Water quality indicators such as BOD, COD, DO, and SO42− were evaluated concerning each marina’s flushing efficiency through field assessments and hydrodynamic numerical modeling. An empirical formula was developed to predict and optimize flushing mechanisms, which provided critical insights into the design and management of marinas to enhance water quality. The study revealed significant disparities in water quality across the examined marinas as the hydrodynamic and geometric conditions differed. The empirical formula developed offers a novel approach to quantitatively assessing flushing efficiency, which is valuable for marina designers and managers, facilitating informed decisions, and promoting environmental sustainability. This study underscores the critical importance of integrating hydrodynamic and geometric considerations in the design and management of marinas to improve water quality and sustainability. It advocates for a multifaceted strategy that includes advanced design solutions, rigorous policy implementation, and active …

Selection of municipal solid waste disposal technology using the Analytic Hierarchy Process and Genetic Algorithm for Gulf Cooperation Council Countries

Authors

Abdalrahman Alsulaili,Omar Ali,Nasser Alenezi,Abdullah N Al-Dabbous

Journal

Journal of Engineering Research

Published Date

2024/3/21

Municipal Solid Waste (MSW) management represents a significant challenge in rapidly urbanizing regions, notably within the Gulf Cooperation Council (GCC) countries. This study focuses on Kuwait, exemplifying the GCC context, to identify the most suitable MSW disposal methods. We integrate the Analytic Hierarchy Process (AHP) with Genetic Algorithms (GA) for a comprehensive evaluation and optimization of disposal options, considering 13 criteria across economic, environmental, technical, and safety dimensions. Five disposal methods (landfilling, controlled dumpsites, composting, incineration, and refuse-derived fuel [RDF] combustion) are analyzed for their fit to Kuwait's unique environmental and socio-economic conditions. The AHP analysis highlights the paramount importance of "Health & Safety of Employees" (19.8%), "Water Pollution" (16.2%), and "Air Pollution Control" (15.4%) as criteria …

Toward sustainable waste management: estimating emissions from alternative practices in Gulf Cooperation Council countries

Authors

A Alsulaili,F Alshamali,A Aldabbous

Journal

International Journal of Environmental Science and Technology

Published Date

2024/2/28

The predominant solid waste disposal method in the world is landfilling, which has led to significant gas emissions. The aim of this study is to estimate the emissions of alternative solid waste management practices in the Gulf Cooperation Council (GCC) using the Solid Waste Emissions Estimation Tool developed by the U.S. Environmental Protection Agency. The study focuses on the South Seven Ring Road landfill in Kuwait and covers the period from 2025, when alternative scenarios will start, to 2036, which is one year after the predicted closure of the landfill. The study explores various waste management strategies grouped into two distinct approaches. The Baseline scenario, where all waste is landfilled, serves as a reference, reflecting the current main treatment method in the GCC. In the first approach, we evaluated four distinct scenarios: composting 25% of the total compostable waste, recycling 50% of …

Adsorption capacity of activated carbon derived from date seeds: characterization, optimization, kinetic and equilibrium studies

Authors

Abdalrahman D Alsulaili,Abdelrahman A Refaie,Hector A Garcia

Journal

Chemosphere

Published Date

2023/2/1

Agricultural wastes have the potential to be reused in applications such as water/wastewater treatment. Several studies have focused on activating organic waste, such as date seeds, to produce activated carbon. However, these studies have always assumed that all date seeds behave similarly to each other. In this study, we evaluated different types of date seeds and characterized their physical-chemical properties. The results showed variation in the seed-to-fruit weight percentage, ash content, and moisture content among different seed types. Different activation procedures were performed to find the optimum combination of physical and chemical interventions. KOH impregnation yielded better results than H3PO4 impregnation. The maximum adsorption capacity was measured for nine different types of date seeds, and the Khalas seed type yielded the highest methylene blue (MB) adsorption capacity of 165 mg …

Prediction of Sea Level in the Arabian Gulf Using Artificial Neural Networks

Authors

Nasser Alenezi,Abdalrahman Alsulaili,Mohamad Alkhalidi

Journal

Journal of Marine Science and Engineering

Published Date

2023/10/26

Creating an efficient model for predicting sea level fluctuations is essential for climate change research. This study examined the effectiveness of utilizing Artificial Neural Networks (ANNs), particularly the recurrent network approach. ANNs were chosen for their capacity to learn from extensive and intricate data and their ability to handle nonlinear correlations. The Long Short-Term Memory (LSTM) algorithm was employed to fill data gaps and predict future sea level records in the Arabian Gulf, especially in Mina Salman. The results were promising, with LSTM successfully filling a 6-year data gap while maintaining low Root Mean Square Error (RMSE) and Mean Absolute Percentage Error (MAPE) values. The first phase of the model yielded a RMSE value of 63.4 mm and a MAPE value of 3.14%. The same approach was used to retrain the model with a mix of real and predicted values, preserving historical patterns and yearly rates with an RMSE of 66.5 mm and a MAPE of 3.07%. These findings highlight LSTM’s advantages when considering only historical information for predicting the future sea level changes. The research provides valuable insights into predicting sea level changes in regions with limited field data, such as the Arabian Gulf, and emphasizes the potential for further research to enhance sea level prediction models through improved optimization techniques.

Utilization of Agriculture Waste Materials as Sustainable Adsorbents for Heavy Metal Removal: A Comprehensive Review

Authors

Abdalrahman Alsulaili,Khalad Elsayed,Abdelrahman Refaie

Published Date

2023/9/20

Low cost-adsorbent has been a good candidate as an alternative for commercial activated carbon in the application of water treatment. As they possess the capability of adsorbing contaminants, from wastewater and their use minimizes waste in the environment. Heavy metals have been a primary water pollutant since the increase in processing and production of several materials such as steel, copper, etc. Therefore, research has been conducted on the utilization of agricultural wastes which may serve as low-price adsorbents. In this paper, four main categories of agricultural waste materials, namely nut shells/stones, hulls/husks/seed coats, agroforestry peels, and others were investigated and compared as adsorbents to remove or minimize several wastewater impurities described in previous research. The results showed that the Nut shells/stones, such as green coconut single component, demonstrate effective …

Modeling the impact of reducing sulfur content of liquid fuels consumed by power plants on the air quality of Kuwait using AERMOD

Authors

Fahad Al-Fadhli,Nawaf Alhajeri,Ahmed Aly,Abdalrahman Alsulaili

Journal

Journal of Engineering Research

Published Date

2022/5/22

As part of Kuwait’s plan to meet the country’s long-term sustainability goals, a new refinery is being constructed with an objective of desulfurizing crude oil (CO) and heavy fuel oil (HFO) to a low sulfur content, S%(approximately 1% by mass). Since Kuwait’s electric power system relies heavily on CO and HFO for electricity generation, the air quality impacts of this change in sulfur content should be investigated. In this work, three scenarios were examined and compared to the base case. The hourly SO 2 emissions of each scenario were simulated using an air quality model (AERMOD) to determine the spatial and temporal SO 2 dispersion for the year 2014. The three scenarios were developed based on lowering the sulfur content to 1% for HFO only, CO only, and both HFO and CO. The study results indicated that the annual SO 2 emissions were reduced by 75.6%, 12.5% and 82.7% for the first, second and third scenarios, respectively, compared to the base case scenario. The daily averages of SO 2 emissions of the first, second and third scenario were 57.7%, 12.4% and 70.1% lower, respectively, compared to the base case. The reductions in the maximum region-wide one-hour average SO 2 concentrations reached 47.4%, 24% and 54.1% for the first, second and third scenarios, respectively, compared to the base case. The numbers of hourly SO 2 exceedances were reduced by about 94%, 54% and 100% for the first, second and third scenarios, respectively, compared to the base case (7361 hourly SO 2 exceedances). The results of this analysis show the benefits of reducing the sulfur content of CO and HFO as mitigation strategy to reduce …

Assessing the impacts of meteorological factors on freshwater consumption in arid regions and forecasting the freshwater demand

Authors

Abdalrahman Alsulaili,Marwah Alkandari,Amani Buqammaz

Journal

Environmental Technology & Innovation

Published Date

2022/2/1

The continuously increasing consumption and scarcity of natural freshwater resources impose threats on different aspects of human life. This study investigated the possible influences of meteorological factors, e.g., relative humidity, temperature, and wind speed, on net freshwater consumption (NFWC). Additionally, we determined the seasonal variations in these factors and forecasted the consumption rate over five years. We took Kuwait as an example and analyzed daily readings obtained from 2014 to 2018 by the Directorate General of Civil Aviation and Ministry of Electricity and Water. The results showed that the consumption rate was affected positively by temperature and negatively by relative humidity. In the seasonality results, two groups characterizing the summer (May to October) and winter (November to April) seasons were obtained regarding the corresponding meteorological factors and net freshwater …

The Environmental Impact of Wasting Recoverable Nutrients From Treated Sewage Sludge for Agricultural Use: A Life Cycle Assessment For a Circular Economy

Authors

Esra Aleisa,Abdalrahman Alsulaili,Yasmeen Almuzaini

Published Date

2022

This study assesses the environmental advantage of the recirculation of valuable nutrients available in treated sewage sludge (SS) to enhance fodder plant growth, embracing a cradle to cradle philosophy through Circular economy (CE). Within the CE context, LCA is applied to evaluate the environmental savaging in utilizing recovered nitrogen (N), phosphorus (P), and potassium (K), or NPK nutrients in treated SS as opposed to the synthetic virgin counterparts while maintaining fodder needs and health and safety standards. The LCA for the three scenarios, fertilizer use, landfilling and incineration of SS, is constructed using consequential modelling and an open-loop system based on ISO 14044 (2006). Analysis by substance shows that a significant amount of natural gas and crude oil could be saved when N is obtained from SS as opposed to virgin sources. Savings on virgin N alone account for more than 95% of the total environmental burden. Nitrous oxide (N2O), for N production is responsible for 58% of the CT impact, 38% of the adverse impact on MD is due to the use of extensive Copper for N production. 42% of the HT impact is due to Manganese use for N production. This all highlights the urgency of recovering nutrients from treated SS as opposed on consuming virgin materials. Regression models were constructed to predict annual NPK consumption, and a metamodel is used to calculate he total savings in Carbon dioxide of treated SS used as fertilizer. The study have also emphasized the potential recovery of organic P as it is declared among list of critical raw materials in EU (COM No. 297, 2013; EC, 2017). The results indicated …

The role of biomethane from sewage sludge in the energy transition: Potentials and barriers in the arab gulf states power sector

Authors

Mohammad Alshawaf,Abdalrahman Alsulaili,Mohamed Alwaeli,Huda Allanqawi

Journal

Applied Sciences

Published Date

2021/11/2

The increasing energy and water demands by the Arab Gulf states highlight the importance of sustainable use of energy resources. Wastewater sludge management for energy recovery creates an opportunity for sector integration for both wastewater treatment plants and renewable energy production. The objective of this study was to theoretically estimate the biomethane potential of wastewater sludge, together with identification of the role of biomethane in the region. The prediction of biomethane potential was based on the theoretical stoichiometry of biomethanation reactions, using the R-based package ‘Process Biogas Data and Predict Biogas Production’. The biomethane potential of sludge ranges between 232–334 × 106 m3, with a total heat-value up to 10.7 trillion BTUs annually. The produced biomethane can generate up to 1665 GWh of electric energy, an equivalent amount to the current levels of electricity generation from wind and solar power combined. The findings from the case study on Kuwait’s indicate that biomethane could displace 13 × 106 m3 of natural gas, or approximately 86,000 barrels of crude oil, while simultaneously reducing greenhouse gas emissions by 86% when compared to the base-scenario. Despite its potential, biomethane recovery in the region is hindered by technical-, economic-, and policy-based barriers.

Recirculating treated sewage sludge for agricultural use: Life cycle assessment for a circular economy

Authors

Esra Aleisa,Abdalrahman Alsulaili,Yasmeen Almuzaini

Journal

Waste Management

Published Date

2021/11/1

The objective of this study is to assess the environmental value of recirculating nutrients from treated sewage sludge by application to agricultural soils to grow forage as opposed to landfilling and incineration. The methodological choices are aligned to the circular economy framework using life cycle assessment. Consequential modeling and open loop modeling were adopted and adhere to ISO 14044 and International Reference Life Cycle Data System (ILCD) standards. The functional unit is defined in terms of the amounts of nitrogen (N), phosphorus (P) and potassium (K) recirculated from the treated sewage sludge produced annually in Kuwait. The results indicate a reduction in environmental burden with respect to fossil fuel depletion, metal depletion and climate change. A total of 95% of the reduction is realized by avoiding virgin nitrogen production and instead using its recirculated counterpart. Considerable …

Artificial neural network modeling approach for the prediction of five-day biological oxygen demand and wastewater treatment plant performance

Authors

Abdalrahman Alsulaili,Abdelrahman Refaie

Journal

Water Supply

Published Date

2021/8/1

The measurement of the wastewater BOD5 level requires five days, and the use of a prediction model to estimate BOD5 saves time and enables the adoption of an online control system. This study investigates the application of artificial neural networks (ANNs) in predicting the influent BOD5 concentration and the performance of WWTPs. The WWTP performance was defined in terms of the COD, BOD, and TSS concentrations in the effluent. Sensitivity analysis was performed to identify the best-performing ANN network structure and configuration. The results showed that the ANN model developed to predict the BOD concentration performed the best among the three outputs. The top-performing ANN models yielded R2 values of 0.752, 0.612, and 0.631 for the prediction of the BOD, COD, and TSS concentrations, respectively. The optimal performing models were obtained (three inputs – one output), which …

Spatial and temporal multivariate statistical analysis to assess drinking water quality in medical services

Authors

Abdalrahman D Alsulaili,Sarah Alshawish

Journal

Journal of Engineering Research

Published Date

2021

Drinking water quality supplied to medical services presents significant role regarding the health aspect of the society. Multivariate statistical techniques were applied for the interpretation of data obtained ie, cluster analysis (CA), principal component analysis (PCA), factor analysis (FA), discriminant analysis (DA) to analyze and assess the spatial and temporal variations of drinking water quality in different medical services. This study was generated over a period of 11 years (2007-2017), including 19 parameters at fourteen different sites. Hierarchical CA obtained two groups regarding both spatial and temporal variations. For spatial variations, 14 sampling sites were grouped into Low Concentration (LC) and High Concentration (HC). For temporal variations, 12 months were grouped into Summer and Winter. DA provided better results by data reduction for the large data set with great discriminatory ability for both spatial and temporal variations, as only five parameters were used concerning the spatial variations to afford 68.4% of the cases being assigned correctly and seven parameters were interpreted for the temporal variations affording 76.1% of correctly classified cases. The applied PCA/FA on the spatial variations, resulted in five principle components (PCs) for the LC region the total variance is 74.84% and three PCs for the HC region explaining a total variance of 64.86%. For the temporal variations, summer yielded into five PCs with a total variance of 70.6%, whereas the winter resulted into three PCs describing 67.1% total variance. Thus, multivariate analysis provides better spatial and temporal variations assessment in contemplation of …

Assessment of seasonal and spatial variations of coastal water quality using multivariate statistical techniques

Authors

Mohamad Alkhalidi,Abdalrahman Alsulaili,Badreyah Almarshed,Majed Bouresly,Sarah Alshawish

Journal

Journal of Marine Science and Engineering

Published Date

2021/11/19

This study investigates the seasonal and spatial trends in Kuwait’s coastal water’s physical, chemical, and biological parameters by applying multivariate statistical techniques, including cluster analysis (CA), principal component/factor analysis (PCA/FA), and the Pearson correlation (PC) method to the average daily reading of water quality parameters from fifteen stations over one year. The investigated parameters are pH, turbidity, chlorophyll-a, conductivity, dissolved oxygen (DO), phycoerythrin, salinity, and temperature. The results show that the coastal water of Kuwait is subjected to high environmental pressure due to natural and human interferences. During 2017, the DO levels were below the threshold limit, and at the same time, the water temperature and salinity were very high, causing a series of fish death events. CA resulted in three different regions based on the turbidity, including high, moderate, and low regions, and three seasons (winter, summer, and autumn). Spring is very short and overlaps with winter and summer. PCA/FA applied on the datasets assisted in extracting and identifying parameters responsible for the variations in the seasons and regions obtained from CA. Additionally, Pearson’s correlation resulted in a strong positive relation between chlorophyll and phycoerythrin in 7 out of the 15 stations. However, at high turbidity regions (stations 1 and 2), chlorophyll concentration was low. Additionally, the negative correlation between DO and temperature was observed at stations with rare human activities.

Seasonal variation pattern of physicochemical and microbial parameters in a wastewater treatment plant

Authors

Abdalrahman Alsulaili,Bushra Y Al-Buloushi,Mohamed F Hamoda

Journal

DWT

Published Date

2020/12/1

Wastewater discharge contains a high level of contaminants that require sufficient treatment for further reuse and legitimate applications. This study examined the effect of seasonal variations on treatment performance. Data was generated daily from January 2013 to December 2016, analyzing the samples from different stages that is, influent, secondary and tertiary effluents. The results for microbial parameters showed that in the influent, fecal coliforms had the highest levels in fall, while the coliform count had the highest levels in winter, with Salmonella, fecal streptococci and fungi presenting better resistance and survival in spring. However, the physicochemical parameters, for example, pH and conductivity, of the influent and treated effluents did not vary with season, but slight variations occurred in all other parameters. In fall, chemical oxygen demand, volatile suspended solids and total suspended solids showed minimal changes in the tertiary-treated effluent, while biochemical oxygen demand5 showed no significant changes in all seasons. The coefficient of variation and coefficient of reliability showed minimal variability in plant performance and highly reliable conditions for water reuse in irrigation, indicating compliance with effluent discharge standards and stable operating conditions. Identifying seasonal variations in parameters promote the optimization of the operational conditions and performance of wastewater treatment plants.

Food Waste Management in Kuwait: Current Situation and Future Needs

Authors

Anwaar Albeeshi,Abdalrahman Alsulaili,Fahad Al-Fadhli

Published Date

2020/11

The dramatic increase of municipal solid waste generally and food waste particularity as the results of the rapid urbanization, improvement of living standards along with consumption patterns, has been considered as one of the major challenges towards achieving sustainability internationally. Currently, Kuwait has no waste treatment facilities other than limited recycling and the only ultimate way to handle waste is landfilling. Kuwait Municipality is dedicated to provide efficient services in collection and disposal of all the generated waste, yet lack strategies for waste prevention, reduction or recycling. Kuwait's municipal solid waste has a high fraction of organic waste and combustible components that can be composted or incinerated. Therefore, this study highlights the potential of composting and incineration for food waste management as an alternative to landfilling in the State of Kuwait. A simple decision-making methodological approach was adopted in view of prioritizing the waste management methods in hands, where Literature review based on environmental, economic, technical/operational and social perspectives has been utilized in the comparisons of the waste management methods taking into consideration Kuwait's socio-economic and environmental context. It appeared that the most viable sustainable waste management approach for State of Kuwait is to adopt composting to process the organic fraction of the municipal solid waste along with incineration facility to handle the remaining amount of the waste. This waste management strategy will not only minimize the negative impacts of waste landfilling but also has economic benefits …

The influence of household filter types on quality of drinking water

Authors

Abdalrahman Alsulaili,Meshari Al-Harbi,Khalad Elsayed

Journal

Process Safety and Environmental Protection

Published Date

2020/11/1

Point-of-use (POU) water filters nowadays are widely used worldwide to get highly purified potable water. In this study, people opinions about household water filters were obtained via well-constructed questionnaire distributed to 1200 participants in the state of Kuwait. Analyses revealed that respondents installed multiple household filtration systems due to the doubts that municipal water could include physical (40 %), chemical (36 %), and biological contaminants (31 %) that induces infectious and non-infectious diseases. Subsequently, total of 56 waters samples without and after using POU filters were collected from 28 homes in Kuwait distributed over all residential areas of Kuwait. The POU water filters were not found efficient to remove physical, chemical, and microbiological parameters and conversely water quality deteriorated in most houses after the POU filters. This is possibly due to lack of tanks and filter …

Environmental and economic benefits of applying green building concepts in Kuwait

Authors

Abdulrahman D Alsulaili,Marwa F Al-Matrouk,Rabab A Al-Baghli,Amal F Al-Enezi

Published Date

2020/4

The rapid increase of residential buildings in Kuwait is a major contributor in resource consumption, waste generation and CO2 emissions. This paper aims to introduce a new concept of green buildings in Kuwait for saving water, energy and using eco-friendly materials in residential houses to develop more sustainable and high-performance buildings. For the purpose of evaluating the conventional buildings impacts and clarifying the resident’s awareness towards the green building concept, a survey questionnaire was designed using Google Forms. In addition, a case study of converting a conventional building into a green building was studied, with assurance that the owner requirements were implemented. The overall water saved (in terms of consumption and bill cost) was 46%. Energy waste from light consumption was reduced by approximately 86% by using LED lights, timers and sensors, with …

Oil removal from produced water by agriculture waste adsorbents

Authors

Abdalrahman D Alsulaili,Asmaa M Fahim

Journal

International Journal of Environment and Waste Management

Published Date

2020

In this investigation, oil was removed from PW using adsorbents prepared from agriculture waste (date pits and walnut shells) packed in filter beds. Several parameters were examined, such as (contact time, oil content, TSS, conductivity, TDS, turbidity, and pH). The study showed that both the walnut shell and date pit achieved well. Furthermore, MB adsorption on the carbonised date pits and crushed Walnut shells with different concentrations were explored. The maximum adsorption capacities of oil content for walnut shell or date bits was 87%, 80%; respectively. The oil adsorption was confirmed through three models: Freundlich, Langmuir and Redlich-Peterson models. The Redlich-Peterson equation was more applicable for Date pits and Walnut shells rather than the Freundlich or Langmuir equation. Whereas its correlation coefficients showed high R2 = 0.9998 and 0.9917; respectively. In addition, Freundlich …

Role of Carbonate Species on General Acid Catalysis of Bromide Oxidation by Hypochlorous Acid (HOCl) and Oxidation by Molecular Chlorine (Cl2)

Authors

Samuel H Brodfuehrer,David G Wahman,Abdalrahman Alsulaili,Gerald E Speitel Jr,Lynn E Katz

Journal

Environmental science & technology

Published Date

2020/12/2

Kinetic models for disinfectant decay and disinfection byproduct (DBP) formation are necessary for predicting water quality from the treatment plant to the tap. A kinetic model for conditions relevant to chloramine disinfection of drinking water (pH 6–9 and carbonate-buffered) was developed to simulate incomplete bromide (Br–) oxidation during short prechlorination periods because it is the first step in a complex system of reactions that leads to disinfectant loss and DBP formation. Hypochlorous acid and molecular chlorine were the free chlorine species relevant to Br– oxidation, and Cl2 hydrolysis and formation reactions were necessary to accurately simulate Cl2 concentrations instead of assuming equilibrium. Previous work has shown that Br– oxidation by HOCl and Cl2 formation are acid-catalyzed and Cl2 …

See List of Professors in Abdalrahman Alsulaili University(Kuwait University)

Abdalrahman Alsulaili FAQs

What is Abdalrahman Alsulaili's h-index at Kuwait University?

The h-index of Abdalrahman Alsulaili has been 11 since 2020 and 12 in total.

What are Abdalrahman Alsulaili's top articles?

The articles with the titles of

Enhancing Marina Sustainability: Water Quality and Flushing Efficiency in Marinas

Selection of municipal solid waste disposal technology using the Analytic Hierarchy Process and Genetic Algorithm for Gulf Cooperation Council Countries

Toward sustainable waste management: estimating emissions from alternative practices in Gulf Cooperation Council countries

Adsorption capacity of activated carbon derived from date seeds: characterization, optimization, kinetic and equilibrium studies

Prediction of Sea Level in the Arabian Gulf Using Artificial Neural Networks

Utilization of Agriculture Waste Materials as Sustainable Adsorbents for Heavy Metal Removal: A Comprehensive Review

Modeling the impact of reducing sulfur content of liquid fuels consumed by power plants on the air quality of Kuwait using AERMOD

Assessing the impacts of meteorological factors on freshwater consumption in arid regions and forecasting the freshwater demand

...

are the top articles of Abdalrahman Alsulaili at Kuwait University.

What are Abdalrahman Alsulaili's research interests?

The research interests of Abdalrahman Alsulaili are: Environmental engineering, waste management, Water treatment, Wastewater treatment

What is Abdalrahman Alsulaili's total number of citations?

Abdalrahman Alsulaili has 392 citations in total.

What are the co-authors of Abdalrahman Alsulaili?

The co-authors of Abdalrahman Alsulaili are Jaber Almedeij, Prof. Ph.D, D.Sc., Eng., Mohamed Alwaeli, Esra Aleisa, Fahad M Al-Fadhli, Mohamad Alkhalidi, Khalad Elsayed.

    Co-Authors

    H-index: 15
    Jaber Almedeij

    Jaber Almedeij

    Kuwait University

    H-index: 13
    Prof. Ph.D, D.Sc., Eng., Mohamed Alwaeli

    Prof. Ph.D, D.Sc., Eng., Mohamed Alwaeli

    Politechnika Slaska

    H-index: 13
    Esra Aleisa

    Esra Aleisa

    Kuwait University

    H-index: 11
    Fahad M Al-Fadhli

    Fahad M Al-Fadhli

    Kuwait University

    H-index: 6
    Mohamad Alkhalidi

    Mohamad Alkhalidi

    Kuwait University

    H-index: 6
    Khalad Elsayed

    Khalad Elsayed

    University of Houston

    academic-engine

    Useful Links