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A multiregressed COA-SAM model for predicting seasonal streamflow variability: A case study over Murray river basin

Muhammad Yousuf Tufail Saima Gul Syeda Sadia Zia, Linta Jabeen Sana Rasheed, Pages:1-9

DOI:

https://doi.org/10.30955/gnj.005329

Paper Topic:

Environmental data analysis and modelling

Issue:

Issue 3

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Abstract

Streamflow of the Murray River (MR) was investigated from 1978 to 2017, using statistical analysis based on Indian Ocean modes of variability. During the cool season, June to August (JJA), observations and reanalysis products have been used to analyse the relation of streamflow of MR with Indian Ocean High (IOH) and Southern Annular Mode (SAM) over South Australia (SA). Recently, the river has suffered from severe drought, whereas drought drivers differ significantly in terms of interannual and decadal timescales. As a defining feature of atmospheric general circulation, the IOH is quantitatively simulated in all global climate models. Variations in the streamflow of MR have been linked to the variability of intensity and positions of Indian Ocean high pressure (IOHP) meridionally and the impact of SAM across the Indian Ocean. It is found that the correlation of streamflow with IOHP is (r = -0.41), SAM (r = -0.52) and shows the strongest correlation with Indian Ocean High Longitude (IOHLN), which is -0.56. Moreover, SAM explains only 27% of streamflow variability, while IOHP and IOHLN indices calculated by the Center of Action (COA) approach explain 39% of the variation. This paper examines the decline of the inflow rate of MR in SA by applying the COA approach, Mann-Kendall (MK) test and Pearson correlation. We further investigate the impact of significant predictors over the flow of MR. Inflow rate of the hydrology of MR is influenced by the period of time, which shows a decreasing trend with -1.976 by applying autocorrelation. Overall, monthly and annual streamflows have also investigated a significant decreasing trend. Cross-correlation is also used to verify the relationship between streamflow and significant predictors of MR.

Insights into polybrominated diphenyl ethers: occurrence, sources, and exposure health risk in selected solid waste impacted soils

Emoyan Onoriode.Onos Onojake Lawson Tesi Godswill. Okeoghene Iwegbue Chukwujindu Maxwell Azubike Odal Eze Wealth Chijioke Olisah, Pages:1-23

DOI:

https://doi.org/10.30955/gnj.005436

Paper Topic:

Solid Waste Management

Issue:

Issue 4 (In progress)

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Abstract

The Coordinated management of solid waste dumps from different anthropogenic environments is important for pollution management of immediate and adjacent ecosystems. This study took three soil profile samples from three functional zones: the rural, the suburban, and the urban solid waste dumps. The samples were analyzed for the concentration, origin, and associated risks of thirty-nine Polybrominated diphenyl ethers (Ʃ39PBDEs). Σ39PBDEs demonstrated high concentrations and ranged from 0.12 to 119 ng g−1 dw, in the order of rural > suburban > urban, and topsoil > subsoil > bottom soil. BDE-10, -11, -13, -15, -17, -99 and -119 showed relative abundance. Penta-BDE was moderately above standard and screening levels and demonstrated high and medium ecological risk in the rural and semi-urban zones. The non-carcinogenic and cancer risks highlight onsite exposure risks. PCA evaluation depicts an abundance of persistent and toxic flame retardant additives, and cluster analysis showed PBDEs were from a common source—cancer and hazard index exposure risk depicted rural > suburban > urban zone. The results suggested the continual use of banned flame retardant additives in commercial formulations. A comparison of PBDE implied that PBDEs in the suburban and urban zones could have undergone environmental processes, and the rural zone received fresh deposition. Migration and exposure to the detected -BDEs may increase the risk to humans in these zones. The results highlighted the need to establish a standard management protocol and monitor legacy pollutants in environmental and biological samples around solid waste dump sites and similar catchments.

Prediction intervals for carbon dioxide emissions in china by extreme learning machine ensemble based on particle swarm optimization

Tianqing Yao, Linwei Li, Pages:1-9

DOI:

https://doi.org/10.30955/gnj.005502

Paper Topic:

Environmental data analysis and modelling

Issue:

Issue 4 (In progress)

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Abstract

The emission of carbon dioxide is the major cause of the greenhouse effect, which has a negative impact on human survival and sustainable economic development; therefore, it is very significant for discovering the underlying influential factors of carbon dioxide emissions. In this paper, an extreme learning machine ensemble based on particle swarm optimization approach(PSO-ELMEnsemble) are applied to predict the emission of carbon dioxide, which provide estimated values as well as the corresponding reliability. In addition, the particle swarm optimization approach is used to optimize the connection weights of extreme learning machine. The performance of the proposed PSO-ELMEnsemble is experimentally validated by carbon dioxide emissions data during the period 1978-2016 by using state-of-the-art comparative method, where the proposed approach outperforms the others in achieving the best trade-off between accuracy and simplicity.

Research of Air Quality in Closed Car Parks in Konya Province

Kunt F., Saadi H., Pages:1-7

DOI:

https://doi.org/10.30955/gnj.004534

Paper Topic:

Air Quality

Issue:

Issue 3

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Abstract

Nowadays, due to the development of the world, harmful gases and vapours have begun to enter the atmosphere significantly, so we are faced with the problem of air pollution and its low quality. This paper, therefore, focused on enclosed car parks, a parking system that needs to be well examined from an environmental perspective. It is not possible to predict in advance what levels of pollution from engines burning fossil fuels will reach in indoor environments. Because many factors can affect the concentration, such as vehicle type and fuel ventilation, as well as cumulative vehicle emissions in the environment. This study presents the relationship between indoor meteorology factors and pollutants besides evaluating the air quality in closed car parks by collecting the concentration of emitting pollutants. The data were aggregated from five garages in the centre of Konya province. The data were analyzed by using the program SPSS statistics 25. It has been mentioned the points that must be considered, measurements and suggestions to reduce air pollution in the car parks. Correlation coefficients showing the relationship between indoor air quality parameters and their importance levels were determined. According to the significance level, α = 0.05; It has been determined that there is a highly positive and significant relationship between indoor particulate matter (PM2.5, PM10). In addition, it was determined that there was a moderate and significant relationship between temperature and CO2 value. In addition, it has been determined that there is a weak positive relationship between particulate matter (PM2.5 and PM10) and gases (CO2 and CO) values, and between CO, PM2.5 and PM10 and Temperature value. There was a weak negative significant relationship between temperature and relative humidity. When the measurement results were evaluated, it was observed that the PM2,5 and PM10 levels in all car parks exceeded EPA, WHO specified standards, but the CO2 and CO concentrations were at acceptable levels according to the specified values, suggesting that certain ventilation measures need to be taken to reduce the concentration of pollutants in the garage.

Perchlorate captured by activated carbon derived from dates seed through adsorption technique

Adilakshmi A., Abeet A. Alobaid, Warad I. and Senthil Kumar M., Pages:1-8

DOI:

https://doi.org/10.30955/gnj.005039

Paper Topic:

Water and Wastewater Treatment

Issue:

Issue 8

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Abstract

In the present research packed bed column with activated carbon which is derived from the natural available dates seed used for exclusion of perchlorate from aqueous sample. The effect of several variables on adsorption performance has been studied, including inlet ion concentration, flow rate, bed height, and temperature.The adsorbent was prepared in two different temperature 400℃ and 800℃ and the depth of column was 5cm and 8cm. The findings showed that the activated column at 400℃ in the depth of 5cm was saturated at 320 min and for 8cm column it is saturated at 300 min. Likewise for 800℃ columns in the depth of 5cm the treatment efficiency attained at 220 min and for 8cm column it was 180 min. It is showed that the optimal flow rate and bed height increase adsorption effectiveness. Gas chromatography (GC) was used to determine the perchlorate concentration in liquid sample after treatment process. The Thomas and Thomson mathematical models were utilized to determine the column's adsorption efficacy, with the maximum R2value of 0.985 for 800°C in an 8 cm column with a removal efficiency of 98.1%. The surface morphology was examined with SEM, FTIR and XRD which proves that the pore changes in the morphology of the adsorbent created homogeneous to heterogeneous formation structure. This comprehensive study shown that activated carbon generated from dates seed is a successful adsorbent for the removal of perchlorate at optimal temperature and bed depth

Solar still desalination techniques for the minimization of operational time and cost: a review

Vairavel Madeshwaren,Kathiresan.G,T.Suresh,Rajpradeesh Thangaraj , Pages:1-19

DOI:

https://doi.org/10.30955/gnj.005382

Paper Topic:

Desalination

Issue:

Issue 1

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Abstract

This current, comprehensive study of the literature provides a full review of recent developments in a variety of various kinds of solar stills. This review looks at studies on double-slope, hybrid solar stills, single-slope, with a condenser unit, and other particular types of solar stills. To make the work more relevant to readers, the authors provide a thorough summary of the latest research papers in the area of solar stills in addition to a general overview of the many varieties of solar stills. An overview of the various desalination methods is provided in this review paper. Although there have been notable advancements in desalination techniques, the systems' operational costs have remained high throughout time. With the use of cutting-edge technologies, efforts have been made to reduce the price of producing desalinated water. The cost of producing desalinated water is significantly reduced when solar stills are used for desalination. In this review paper that follows, innovative designs and methods for solar still desalination are being used to increase daily productivity while lowering production costs. Numerous changes were tried to extend the residence time and surface area of water that could evaporate, but these changes did not cause the feed water to remain in the still's basin for an extended period.

Kinetic Model of Anaerobic Digestion from Chicken Manure and Thai Rice Noodle Wastewater in Continuous Reactors

Jijai S. Muleng S. Noynoo L. Siripatana C., Pages:1-7

DOI:

https://doi.org/10.30955/gnj.005281

Paper Topic:

Environmental data analysis and modelling

Issue:

Issue 1

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Abstract

A kinetic model was used to describe the anaerobic co-digestion of chicken manure (CM) and Thai rice noodle wastewater (TRNW) in continuous reactors. This research investigated the effects of mixing interval and hydraulic retention time (HRT) on methane production and other related kinetic parameters. Experiments were carried out in three identical reactors with different mixing conditions: 1) without mixing, 2) mixing every 6 hours, and 3) mixing every 12 hours. Each reactor was operated at HRT of 10, 20, and 30 days, respectively. The anaerobic co-digestion was conducted at room temperature (28-30 ºC). The results showed that the co-digestion provided suitable initial conditions for anaerobic microorganisms in terms of pH level (7.1 ± 0.04), alkalinity (3,420 ± 20.00 mg/LasCaCO3), and volatile fatty acid (VFA) concentration (480 ± 10.00 mg/LasCH3COOH). The co-digestion of the mixing interval of every 12 hours and HRT of 10 days provided the highest methane production potential with an average of 261 mLCH4/gCOD. The model was validated statistically and can provide beneficial information for designing co-anaerobic wastewater treatment plants in the mixing interval and HRT suitable for biogas production.

Predictive Modeling for Solar Desalination Using Artificial Neural Network Techniques: A Review

Vairavel Madeshwaren, Kathiresan Govindaraju ,Pragya Pandey, Suresh Thangavel ,Rajpradeesh Thangaraj , Pages:1-17

DOI:

https://doi.org/10.30955/gnj.005481

Paper Topic:

Desalination

Issue:

Issue 2

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Abstract

Due to the limitations of fossil fuels and the environmental problems associated with their usage, renewable energy sources have been exploited for desalination through the employment of various technologies and mediums. One of the most useful renewable energy sources for solar desalination, both directly and indirectly, is solar energy. The effectiveness of solar desalination is influenced by a variety of parameters, making it challenging to forecast their performance in particular circumstances. Artificial neural networks (ANNs), PSO, ANFIS, RO, and genetic algorithms would all be suitable techniques for their modeling and output predictions in this context. In the current research, multiple data-driven approaches are used in-depth to perform modeling of solar-based desalination facilities. By utilizing these methods with the proper inputs and structures, it can be deduced that the results of the solar desalination units can be consistently and correctly projected. Additionally, several suggestions are offered for future research in the relevant areas of the study.

Cyanide removal from aqueous solution by oxidation with hydrogen peroxide in the presence of activated alumina-supported copper catalyst

Halet F. Chergui S. Hamdache F. Boutrif A. Chergui A. Ould-Dris A. Boudriche L. Guénin E. Nadjemi B. Yeddou A. R., Pages:1-7

DOI:

https://doi.org/10.30955/gnj.005639

Paper Topic:

Water and Wastewater Treatment

Issue:

Issue 2

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Abstract

Cyanide compounds are widely used in some electroplating, chemical and metallurgical industries. They are often found in their liquid discharges. This work highlights the performance of an activated alumina-supported copper catalyst in the removal of cyanide by oxidation with hydrogen peroxide in aqueous solution. The influence of catalyst dose, initial molar ratio of hydrogen peroxide/cyanides, temperature, and catalyst reuse was studied. The activated alumina-supported copper significantly enhanced the reaction rate showing a good catalytic activity. The efficiency of cyanide elimination was increased after 30 minutes of oxidation from 48% to 98% by increasing the catalyst dose from 1 to 10 g/L. Rising the temperature from 30°C to 40°C promoted cyanide removal. The catalyst can be recycled four times and show good stability. The kinetics of cyanide oxidation was revealed to be pseudo-first order with regarding cyanides. The rate constants as well as the activation energy were determined.

Efficiency of engineered/modified biochars-based adsorbents for removal of pollutants from aquatic environment: A critical review

Murtaza G. Ahmed Z. Usman M. Bawazeer S. Basuliman OA. Iqbal R. Rizwan M. Shoaib M. Ullah Z. Akram MI. Munir A. Ali I. , Pages:1-20

DOI:

https://doi.org/10.30955/gnj.005435

Paper Topic:

Soil and groundwater contamination and remediation

Issue:

Issue 3

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Abstract

Biochar shows substantial potential to contribute as a globally applicable adsorbent to decontaminate the water system due to the ample availability of feedstocks and valuable physio-chemical surface properties. This review aims to highlight the modification technologies of biochar, the alteration of characteristics after modification, and the eliminating of organic, inorganic, antibiotics and other pollutants from water systems by modified biochar. Alkali-acid modified and metal-loaded biochar possesses the superior surface functionality; these modifications are greatly favorable for improving the removal of different pollutants from water systems. Acidic- alkaline and metal treatment provides more diverse functional groups on biochar surfaces e.g. produces ample oxygenated functional groups, improve the surface attributes, generates high ratios of surface aromaticity and N/C, these changes provide the more adsorption sites and increase the removal of pollutants. This review also demonstrates the existing problems and future research direction related to modified biochars by acidic and alkaline agents as well as metal loaded composite in the remediation of the pollutants.

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A multiregressed COA-SAM model for predicting seasonal streamflow variability: A case study over Murray river basin

Insights into polybrominated diphenyl ethers: occurrence, sources, and exposure health risk in selected solid waste impacted soils

Prediction intervals for carbon dioxide emissions in china by extreme learning machine ensemble based on particle swarm optimization

Research of Air Quality in Closed Car Parks in Konya Province

Perchlorate captured by activated carbon derived from dates seed through adsorption technique

Solar still desalination techniques for the minimization of operational time and cost: a review

Kinetic Model of Anaerobic Digestion from Chicken Manure and Thai Rice Noodle Wastewater in Continuous Reactors

Predictive Modeling for Solar Desalination Using Artificial Neural Network Techniques: A Review

Cyanide removal from aqueous solution by oxidation with hydrogen peroxide in the presence of activated alumina-supported copper catalyst

Efficiency of engineered/modified biochars-based adsorbents for removal of pollutants from aquatic environment: A critical review

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