An Investigation Into The Level Of Heavy Metals Leaching From Canal-Dreged Sediment: A Case Study Metals Leaching From Dreged Sediment

Hashim, Khalid; Al-Saati, Nabeel Hameed; Hussein, Ameer H.; Al-Saati, Zainab N.

doi:10.1088/1757-899x/454/1/012022

Cited by 45 publications

(16 citation statements)

References 22 publications

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“…Though water treatment industry has recently witnessed a remarkable progress, water pollution has also significantly increased because of the rapid growth of both global population and industrial activities [1][2][3]. It is undeniable fact that the available water resource are polluted with a wide spectrum of pollutants that could cause different health problems [4,5]. Among these pollutants, the pathogenic and non-pathogenic microorganisms are classified as a higher risk than other pollutants due the high number of illness and death that they could cause [6][7][8].…”

Section: Introductionmentioning

confidence: 99%

Energy efficient electrocoagulation using baffle-plates electrodes for efficient Escherichia coli removal from wastewater

Hashim

Kot

Zubaidi

et al. 2020

Journal of Water Process Engineering

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118

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A new electrocoagulation reactor (EC), which utilises the concepts of baffle-plates, has been applied to remove Escherichia coli (E. coli) from wastewater. This new aluminium-based EC reactor utilises perforated baffle-plates electrodes to mix water, which reduces the need for mechanical or magnetic mixers that require extra power to work.This new reactor has been used to treat E. coli containing wastewater samples, considering the effects of different parameters such as treatment time (TT), inter-electrode distance (IED), and current density (CD). A statistical analysis has also been commenced to evaluate the influence of each parameter on the removal of E. coli. Additionally, an economic study has been conducted to assess the operating cost of the new reactor. The outcomes of the experimental work confirmed that the new reactor removes as high as 96% of the E. coli within 20 minutes of electrolysis at IED of 0.5 cm, and CD of 1.5 mA/cm 2 . Additionally, it has been found that the operating cost of the new reactor is 0.11 US $/m 3 (for E. coli removal), which is less than operating cost of traditional reactors. Finally, it has been found that the effect of the studied parameters on E. coli removal followed the order: TT > CD > IED.

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Section: Introductionmentioning

confidence: 99%

Energy efficient electrocoagulation using baffle-plates electrodes for efficient Escherichia coli removal from wastewater

Hashim

Kot

Zubaidi

et al. 2020

Journal of Water Process Engineering

Self Cite

118

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“…For example, the cement industry pollutes the air with a wide range of gases and particulates (Kadhim, Sadique, Al--Mufti & Hashim, 2020) that led to global warming (Salah, Abdulkareem et al, 2020;Zubaidi, Al-Bugharbee, Muhsin, Hashim & Alkhaddar, 2020) and climate change (Salah, Ortega-Martorell et al, 2020). However, water sources are severely polluted due to the recent growth in industrial activities, where several contaminants, including petroleum hydrocarbons, have polluted many water bodies from various industries, such as textile, petroleum, and fertilizers industries (Hashim, Al-Saati, Hussein & Al--Saati, 2018;Omran et al, 2019). Benzene is the commonest compound used for fractions of petroleum in a number of applications, such as raw materials in a number of industries and solvents in a number of industrial processes (Bakather, 2020); nevertheless, benzene is a toxic groundwater pollutant that has adverse impacts on the environment and hence endangers on the health of human.…”

Section: Introductionmentioning

confidence: 99%

A novel application of building demolition waste for removal benzene from aqueous solutions

Alquzweeni

Alkizwini

Hassan

2021

srees

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A novel application of building demolition waste for removal benzene from aqueous solutions. In this research, demolition waste from buildings has been studied for possible use as benzene removal adsorbent from aquatic solution. The effect of adsorbent dosage, contact time, initial benzene concentration, and initial pH on benzene adsorption capacity have been investigated in the batch adsorption experiments. The adsorption effects initially happened very rapidly and achieved equilibrium within 180 min. Benzene removal was observed to decrease by an increase in the initial concentration of benzene of 300–700 mg·L–1, an increase in the adsorbent dose of 0.4–2.4 g per 100 mL, where an optimum adsorbent dose equal to 1.2 g per 100 mL was found. The potential of adsorption increases with pH 3.0–7.0 to reach the maximum removal efficiency at pH 6.0. The findings showed that equilibrium data were adequately adapted and correlated with the Freundlich isotherm models. The average percentage of the removal at room temperature was about 98%. Results suggest that building demolition waste can be used effectively in industrial wastewater treatment for the removal of aromatic hydrocarbon, benzene, as a low-cost option.

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“…These issues lead to an imbalance between water delivered and needed, which adversely impacts on the sustainable management of urban water resources. Traditionally, water demand overestimation has had a role on the depletion of freshwater resources, which are already under stress due to climate factors [3][4][5]. Therefore, it is essential to adopt methodological approaches that can accurately predict urban water demand to assist decision makers to ascertain whether expanding existing infrastructures would be more convenient than showing that it has an important role in the implementation of the prediction models.…”

Section: Introductionmentioning

confidence: 99%

A Novel Methodology for Prediction Urban Water Demand by Wavelet Denoising and Adaptive Neuro-Fuzzy Inference System Approach

Zubaidi

Al-Bugharbee

Ortega‐Martorell

et al. 2020

Water

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Accurate and reliable urban water demand prediction is imperative for providing the basis to design, operate, and manage water system, especially under the scarcity of the natural water resources. A new methodology combining discrete wavelet transform (DWT) with an adaptive neuro-fuzzy inference system (ANFIS) is proposed to predict monthly urban water demand based on several intervals of historical water consumption. This ANFIS model is evaluated against a hybrid crow search algorithm and artificial neural network (CSA-ANN), since these methods have been successfully used recently to tackle a range of engineering optimization problems. The study outcomes reveal that (1) data preprocessing is essential for denoising raw time series and choosing the model inputs to render the highest model performance; (2) both methodologies, ANFIS and CSA-ANN, are statistically equivalent and capable of accurately predicting monthly urban water demand with high accuracy based on several statistical metric measures such as coefficient of efficiency (0.974, 0.971, respectively). This study could help policymakers to manage extensions of urban water system in response to the increasing demand with low risk related to a decision.

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An Investigation Into The Level Of Heavy Metals Leaching From Canal-Dreged Sediment: A Case Study Metals Leaching From Dreged Sediment

Cited by 45 publications

References 22 publications

Energy efficient electrocoagulation using baffle-plates electrodes for efficient Escherichia coli removal from wastewater

Energy efficient electrocoagulation using baffle-plates electrodes for efficient Escherichia coli removal from wastewater

A novel application of building demolition waste for removal benzene from aqueous solutions

A Novel Methodology for Prediction Urban Water Demand by Wavelet Denoising and Adaptive Neuro-Fuzzy Inference System Approach

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