The Global NEST Journal is an open access journal that publishes original research articles, short papers and critical reviews on all aspects of Environmental Science and Technology. These comprise, but are not limited to, Pollution Control Technology, Global Environmental Change, Air Quality, Water Quality, Water and Waste Water Treatment, Solid Waste Management, Hazardous Substances and Risk Analysis, Emerging pollutants. Relevant topics incorporating the methodologies and state of the art of disciplines such as Environmental Management Policies, Ecosystems and Natural Resources Management, Hydrology and Water Resources Management, Clean Energy and Sustainability are included.
Submitted manuscripts are initially reviewed by the editor and selected after rigorous peer review by scientists in order to assess the significance, originality and appropriateness for publication.
Articles submitted to Global NEST Journal benefit from its broad scope and readership. We aim for a turnaround time of 4 weeks from submission to first decision.
Global NEST Journal is addressed to professionals in Academic, Consulting Offices, Government Agencies and Organisations, as well as others responsible for the investigations, evaluation of complicated environmental issues of global interest.
The 2024 Scopus CiteScore for the Global NEST Journal is 2.36. It is also ranked in the Q3 quartile for Environmental Science (miscellaneous).
Here's a breakdown of other key metrics:
- H-index: 41
- SJR: 0.250 (Q3)
- SNIP score: 0.48
Journal Impact Factor (JIF): The Journal Impact Factor (JIF) is not directly calculated in Scopus and is based on Web of Science data. Web of Science data. However, the Global NEST Journal does have a JIF, and the Journal Impact Factor (JIF) is 1.5-year Impact Factor is 1.1.
Scimago Journal and Country Rank (Scimago) provides information on the journal's H-index and SJR, while Researcher.Life lists the CiteScore and quartile. Web of Science Journal Info lists the JIF.
Optimization of malachite green dye removal by sepiolite clay using a central composite design
Water and wastewater treatment and reuse
In this study, a four-factor five-level Central Composite Design (CCD) was applied to develop mathematical model and optimize process parameters for malachite green dye (MG) removal from aqueous solutions using sepiolite. The individual, combined, and quadratic effects of four experimental factors...
Optimization of degradation of ciprofloxacin antibiotic and assessment of degradation products using full factorial experimental design by Fenton Homogenous process
Water and wastewater treatment and reuse
The Pharmaceutical contaminants specialist antibiotics into environment can create problems for both human health and environment. Ciprofloxacin (CIP), an antibiotic Fluoroquinolones group, has recently been used widely for infections treatment. The main purpose of the research was to develop a Full...
Optimization study of dye removal by cement kiln dust using the central composite design of experiments
Water and wastewater treatment and reuse
Designed experiments are used to systematically examine the relationship between response variable and a set of experimental factors. In this study, 2 3 factorial design with center points was used to verify the selected experimental factors influence the removal efficiency and linearity assumption...
Factorial Design and Optimization of Date Stone as A Natural Coagulant for Organic and Heavy Metals Removal from Industrial Wastewater
Water and wastewater treatment and reuse
Several chemical coagulants previously utilize for wastewater treatment with significant performance in removing heavy metals and other parameters. However, their cost effective and the residual of toxic chemical precipitates that pose problems to human health and the environment. Therefore, using...
Optimization of Acid-Assisted Extraction of Pectin from Banana (Musa Acuminata) Peels by Central Composite Design
Solid Waste Management
Pectin extraction from various fruits and its application in food products have been debatable issues for ages. We conducted our research on the biomass wastes of the food industry, primarily banana (Musa Acuminata) peels, in order to develop a modified procedure for the effective extraction of this...
A multi-variant approach to optimize process parameters of two-step pretreatment of high FFA Prosopis juliflora oil
Air pollution and health
A feasible alternative fuel for diesel engines in recent days is biodiesel, which can be produced from both edible and inedible feedstock. When considering the economic and environmental aspects, there is a considerable academic interest among researchers in the transesterification of non-edible...
Application of Box–Behnken design for optimization of malachite green removal from aqueous solutions by modified barley straw
Water and wastewater treatment and reuse
Untreated wastewater can have important effects on the environment and human. The aim of the work was to evaluate the effectiveness of modified barley straw to remove malachite green from industrial wastewater. Studied variables were pH, contact time, initial malachite green concentration, and...
Improving the energy efficiency and carbon dioxide reduction of a long-haul bus through aerodynamic design optimization
Climate change
Exhaustion of fossil fuel resources, inconsistent fuel costs and the difficulty of adopting electric vehicle technology in commercial vehicles support the idea that there is an opportunity for research in public transit regarding the correlation between energy efficiency and aerodynamic drag. The...
Central Composite Design in a Refinery’s Wastewater Treatment by Air Flotation
General
Water resulting from the dewatering process of petroleum storage tanks was treated in a pilot separator to investigate the effectiveness of the combined action of a coagulant (aluminum sulfate) and a cationic flocculant (NALCO 71403). Central composite design of experiments was used to construct...
Treatment surface water using a novel pumpkin seed-based natural bio-coagulant: optimization by CCD and toxicity evaluation
Water and wastewater treatment and reuse
This goal of this study was to evaluate the effectiveness of a new coagulant extract from pumpkin seeds (PSC) for removing turbidity and organic compounds from different natural surface waters. Two design experiment methods, namely central composite design (CCD) and response surface methodology (RSM...
Optimization of photocatalytic degradation of naproxen from aqueous solutions with UV/ZnO process: Response Surface Methodology (RSM)
Water and wastewater treatment and reuse
The aim of this study was to optimize the removal of Naproxen (NPX) by the UV/ZnO photocatalytic process using response surface methodology based on Central Composite Design (CCD). The effect of parameters such as ZnO concentration, contact time, pH, temperature, and initial NPX concentration were...
Optimal Allocation Model of Plant Community in Slope Ecological Restoration
CLEANWAS
In order to effectively analyze the optimal allocation mode of plant community in the process of slope ecological restoration, 15 plants were selected and 10 plant community combinations were designed. The experiment lasted for 90 days, and the optimal allocation model of plant community was...
Optimization of the furrow irrigation efficiency
General
Furrow irrigation is used for row crops. S.C.S., based on a great number of field experiments, under different circumstances and soil families, has developed design equations for furrow irrigation. These equations have been used for steady flow rate or for flow rate with one reduction when the water...
Factorial design and optimization of leachate treatment using persulfate oxidation
Water and wastewater treatment and reuse
The current study aimed to evaluate the performance of sodium persulfate to treat stabilized landfill leachate. Factorial design with response surface methodology (RSM) was used to evaluate the interaction between operational conditions, such as persulfate dosage, pH, and reaction time, to obtain...
Reservoir operation using hybrid optimization algorithms
Hydrology and Water Resources Management
In the present paper, the authors present a new hybrid optimization technique toward optimum reservoir planning and operation. The basis of the developed hybrid algorithms is the combination of harmony search (HS) and incremental dynamic programming (IDP). This resulted in the development of a new...
Evaluation of the optimal operation conditions using response surface methodology for the treatment of DMP by electrocoagulation
Water and wastewater treatment and reuse
Phthalic acid esters, commonly called as phthalates, are of a common use in the industrial activities and are known with their hazardous impact on the environment and on humans such as endocrine disrupting agents, carcinogenic and toxic effects. These adverse effects have led to increasing interest...
Deep Learning and Machine Learning based Air Pollution Prediction Model for Smart Environment Design Planning
Air pollution and health
For the past few decades, owing to human activities, urbanization, and industrialization, air pollution is becoming severe across several countries. Deep Learning (DL) and Machine Learning (ML) techniques had great contribution to the development of methods in various aspects of prediction, planning...
Dynamic modelling and design of free water surface constructed wetland system
Water and wastewater treatment and reuse
A dynamic mathematical model, based on the biochemical kinetic processes dominated in shallow free water systems was developed following the Activated Sludge Model (ASM) methodology. The model predicts plant mass and water uptake rate, BOD 5 and total nitrogen (TN) removal on a year round basis...
Optimal temporal distribution curves for the classification of heavy precipitation using hierarchical clustering on principal components
Protection and restoration of the environment
A novel method that utilizes a combination of statistical and clustering techniques is presented in order to classify statistically independent heavy rainstorm events and create a limited number of temporal distribution curves. These curves represent the centers of many unitless cumulative rainstorm...
Monitoring and Control System for Logistics Protection and Transportation of Urban Solid Waste based on Big Data
CLEANWAS
Aiming at the problems existing in the traditional monitoring system for logistics protection and transportation of solid waste, the optimization design of logistics protection and transportation monitoring system is realized by using big data analysis technology from two aspects of hardware and...
Performance of granular activated carbon/nanoscale zero valent iron for removal of humic substances from aqueous solution based on Experimental Design and Response Surface Modeling
Environmental Sciences
Response surface methodology has been used to design experiments and to optimize the effect of independent variables responsible for higher adsorption of humic substances by activated carbon supported nanoscale zero-valent iron from aqueous solutions. The variables of initial concentration, time, pH...
Biogenic synthesis of PdNCs embedded α-Fe2O3 microspheres using Myrtus cumini L. leaf extract and a Box-Behnken optimization of its Fenton-like catalytic activity
Green Chemistry and Sustainable Development
Microspheres (MSs) of paramagnetic iron oxide (α-Fe2O3) embedded with palladium nanocubes (PdNCs) were biosynthesized using Myrtus cumini L. leaf extract. The synthesized PdNCs embedded α-Fe2O3 microspheres were characterized using FTIR, XRD and SEM/EDX. The FTIR spectrum of the Myrtus cumini L...
Turbidity Reduction of Groundwater by Using Nanomagnetic Adsorbent Composite (NMAC): Process Optimization by 3k Factorial Design and Analysis
Water and wastewater treatment and reuse
The widespread use of alternative water sources in Kelantan encourages the development of cost-effective methods for the purification of water. A simple and straightforward adsorption process using a nanomagnetic adsorption composite (NMAC) was introduced in this study as a new adsorbent for the...
Ultrasound Assisted Enhanced Extraction of Lutein (β, ε-carotene-3, 3'-diol) from Mircroalga (Chlorella pyrenoidosa) Grown in Wastewater: Optimization through Response Surface Methodology
General
One of the fundamental carotenoid compounds available in microalga Chlorella pyrenoidosa is lutein, which is a commercially valuable antioxidant compound. The extraction of lutein from C. pyrenoidosa was studied in detail under various operating conditions. Acid pretreatment was done using 10% HCl...
An Intelligent Weather Prediction Model Using Optimized 1D CNN With Attention GRU
Climate change
One of the main factors affecting human livelihoods is weather events. High weather disasters with forest fires, high air temperature, and global warming that cause drought. An efficient and accurate weather forecasting approach is required to take measures against climate disasters. Therefore, it...
Climate change
16-05-2025
Water and wastewater treatment and reuse
16-05-2025
Environmental management and policy
13-05-2025
Solid Waste Management
12-05-2025
Circular Economy and Bioeconomy
12-05-2025
Environmental management and policy
09-05-2025
Sustainable Energy
05-05-2025
Water and wastewater treatment and reuse
05-05-2025
Hydrology and Water Resources Management
16-06-2025
Circular Economy and Bioeconomy
12-06-2025
Hydrology and Water Resources Management
12-06-2025
Climate change
04-06-2025
Solid Waste Management
04-06-2025
Sustainable Energy
04-06-2025
Environmental management and policy
04-06-2025
Water and wastewater treatment and reuse
04-06-2025
Hydrology and Water Resources Management
02-06-2025
