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.
GFIS (Geographic Forecasting Information System): A Case Study in Water Resources Management
General
The current study presents the development of a Forecasting Information System for geographic data (cross-sectional time-series for different geographic regions). GFIS, Geographic Forecasting Information System, was developed with MS Visual Basic (User Interface), ArcView (GIS) and MS Access (DBMS)...
Regression Analysis and urban air quality forecasting: an application for the city of Athens
General
Air pollution forecasts in major urban areas are becoming a problem concerning the day to day environmental management for city authorities. This paper describes the development of an application to forecast the peak ozone levels with the aid of meteorological and air quality variables, in the...
El-Nino/Southern Oscillation (ENSO): Recent Evolution and Possibilities for Long Range Flow Forecasting in the Brahmaputra-Jamuna River
General
The El Nino-Southern Oscillation is the dominant pattern of short-term climate variation, and is therefore of great importance in climate studies. Some recent studies showed the teleconnection between stream flow and the El-Nino Southern Oscillation (ENSO) of the equatorial Pacific Ocean. This paper...
Application of artificial neural networks for flood forecasting.
General
In hydrology, as in a number of diverse fields, there has been an increasing use of Artificial Neural Networks (ANN) as black-box simplified models. This is mainly justified by their ability to model complex non-linear patterns; in addition they can self-adjust and produce a consistent response when...
Forecasting mesoscale precipitation using the MM5 model with the four-dimensional data assimilation (FDDA) technique
General
The two basic forms of multi-scale data assimilation procedures (FDDA), based on Newtonian relaxation, of analysis and observations nudging have been applied for precipitation event period occurred over Portugal during summer season, using the Fifth Generation Mesoscale Model (MM5) developed and...
A deep learning model and optimization algorithm to forecasting Environment Monitoring of the Air pollution
Air pollution and health
Air pollution monitoring is becoming increasingly important, with an emphasis on the effects on human health. Because nitrogen dioxide (NO2) and sulphur dioxide (SO2) are the principal pollutants, many models for forecasting their potential harm have been created. Nonetheless, making precise...
Intercomparison of forecasting methods for flood warning in the river Cam catchment
General
Currently flood warning in the catchment of the River Cam in Cambridgeshire relies on the issuing of alerts when the river level at the monitoring station at Byron's Pool, just upstream of Cambridge, reaches certain pre-determined levels. Warnings are shown to be fairly accurate, but there is very...
A multi-stage methodology for selecting input variables in ANN forecasting of river flows
General
The scientific community has recognized the necessity for more efficiently selected inputs in artificial neural network models (ANNs) in river flows and has worked on this despite some shortcomings. Moreover, there is none or limited inclusion of ANN inputs coupled with atmospheric circulation under...
Energy Demand and Carbon Emission Peak Forecasting of Beijing Based on Leap Energy Simulation Method
CLEANWAS
The long-term forecasting of the energy demand is an important issue of an area’s sustainable development, especially for mega cities such as Beijing. Beijing is changing its energy supply strategy to depend on energy imports from other provinces due to the city’s long-term low carbon sustainable...
An investigation of waste amounts from ships in Istanbul
General
In Turkey, control studies related to the wastes from ships continue, and the first waste acceptance facility (WAF) from ships was founded in Istanbul: Haydarpaşa WAF. Haydarpaşa WAF has been accepting waste since September 2005 based on the International Convention for the Prevention of Pollution...
An Efficient Flood Forecasting Model Using an Optimal Deep Belief Network
Hydrology and Water Resources Management
Floods inflict significant damage globally each year, underscoring the importance of accurate and timely flood prediction to mitigate property loss and life. Precise flood prediction provides governments with crucial preemptive alerts regarding potential flood disasters, enabling timely evacuations...
A Hybrid Stochastic-ANN Approach for Flow Partitioning in the Okavango Delta of Botswana
Hydrology and Water Resources Management
Since a spectrum of hydrological and geomorphological conditions produce flood pulse environment in a riverine or a deltaic system, it is essential to have the knowledge on spatial and temporal distributions of river flow and dependent processes for environmental flow requirements, ecosystem...
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...
Improving Ozone Layer Depletion Forecasting with Hybrid Bi-Directional LSTM with CNN Classifier Model
Air pollution and health
Due to the methane emission from the mining of coal and industrial byproducts including CFCs, depletion of the ozone layer causes raised global warming and worsens climate change. One chlorine atom can lead to the destruction of 1,00,000 ozone molecules causing depletion at a much faster rate than...
Graph-based neural network model for predicting urban environmental air quality using spatio-temporal data optimization
Air pollution and health
Environmental protection and the need for accurate pollutant forecasting have become increasingly important as worries about environmental issues and the harmful effects of pollution have grown. Predictive accuracy of air pollutants is generally unsatisfactory due to the fact that conventional...
A Hybrid CNN-LSTM Predictive Model Deployed Federated Learning Model for Advanced Flood Prediction Systems to Forecast Coastal Region of Smart Cities
Climate change
Flooding in coastal regions of smart cities poses significant challenges, including infrastructure damage, economic losses, and threats to public safety. Traditional flood prediction models often suffer from data privacy concerns, limited spatial-temporal generalisation, and computational...
Is the integrated water resources management implemented in Jiu river waters in the context of sustainable development? The modelling of the evolution of the concentration of heavy metals
Water and wastewater treatment and reuse
Once the human technology develops, the study of its influence over the environment, the soil, the water, the flora and the fauna is becoming increasingly important. In communism, due to the lack of integrated management of water resources, the quality of the waters in Romania has constantly...
On the relation between sea surface and lower temperature over the northern hemisphere
General
In this work the covariability of sea surface and lower troposphere temperatures (SST-AT) is investigated for winter (DJFM) and summer (JJAS), over the whole northern hemisphere, by utilizing monthly anomalies in grid boxes for a 22-year period. Air temperature variations in the lower troposphere...
Smart Air Pollution Monitoring System
Air pollution and health
Air is one of the most basic and important elements for human beings to survive. Clean and Sound air is the key to a good and healthy life. But nowadays in city life it has become the most threatening factor. Pollution of air has become the most concerning and affected issue now for us. As time goes...
An air quality management system for Cyprus
General
The new Air Quality Directive (2008/50/EC) encourages the introduction of modelling as a necessary tool for air quality assessment and management. Towards this aim, a new Air Quality Management System (AQMS) has been developed and installed in the Department of Labour Inspection of the Republic of...
Window Length Selection of Singular Spectrum Analysis and Application to Precipitation Time Series
Hydrology and Water Resources Management
Window length is a very critical tuning parameter in Singular Spectrum Analysis (SSA) technique. For finding the optimal value of window length in SSA application, Periodogram analysis method with SSA for referencing on the selection of window length and confirm that the periodogram analysis can...
Flood susceptibility in urban environment using multi-layered neural network model from satellite imagery sources
Air pollution and health
Recently, there has been a rise in research based on data-driven based machine learning models to address the issue of processing speed posed by various physiological simulations. The majority of studies, however, have concentrated on creating models for particular water sources, drainage systems...
Analysis of flood frequency using plotting position methods and Gumbel’s method: Vaigai River basin, Southern India
Hydrology and Water Resources Management
Estimation of annual peak flood flow has considerable financial influence, as this can pave numerous ways for water resources planning, design of hydraulic structures, and sustainable management of these valuable resources at an optimum benefit. Six standard plotting position methods coupled with...
Development of Cost Functions for Biological Treatment by Membrane Bio-Reactor
Water and wastewater treatment and reuse
One of the space-saving and alternative options for wastewater treatment is the use of Membrane Bio-Reactor. This paper delineates the sequential approach to explore integrated cost functions for estimation of the forecast level cost for biological treatment of wastewater by use of Membrane Bio...
An intelligent air quality monitoring system using quality indicators and Transfer learning based Lightweight recurrent network with skip connection
Air pollution and health
Rapid industrialization and urbanization have resulted in poor air quality, which poses a risk to human health by causing a variety of lung diseases. The precise forecast of air quality is of practical importance. Consequently, the development of an automated air pollution monitoring system based on...
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
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
Hydrology and Water Resources Management
28-05-2025
