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.
An Empirical Decomposition of Deep Groundwater Time Series and Possible Link to Climate Variability
Hydrology and Water Resources Management
Deep groundwater data reflects hydrological processes, climate change and variability, as well as any anthropogenic influence. Decomposition of deep groundwater signal examines the history of the groundwater region. Detrending is a vital step in decomposition of groundwater time series because it is...
Impacts of climate variability and land-use change on hydrology in the period 1981-2009 in the central highlands of Vietnam
Hydrology and Water Resources Management
In this study, we investigated the separate and combined impacts of climate and land-use changes on hydrological response in the Central Highlands of Vietnam during the period 1981-2009. The Mann-Kendall and Pettit tests were applied to detect the trends in the hydro-meteorological data. The Soil...
Future climate uncertainty and spatial variability over Tamilnadu State, India
Climate change
The present study analyses future climate uncertainty for the 21st century over Tamilnadu state for six weather parameters: solar radiation, maximum temperature, minimum temperature, relative humidity, wind speed and rainfall. The climate projection data was dynamically downscaled using high...
Investigation of the Annual Variability of the Aleppo Pine Tree-Rings Width: the Relationships with the Climatic Conditions in the Attica Basin
General
The relationships between the annual variability of the Aleppo pine tree-ring widths and the variability of the main climatic parameters in the Attica basin are analysed in the present study for a 45-year period (1959-2003). The Principal Components Analysis was applied to the times-series of the...
Under climatic change, soil microbial community and variables relating to N-cycle are modulated by changes in the upper limit temperature
General
The effect of temperature increase and more specifically its upper and low level correlates on soil microbial biomass, activity and N-cycle variables was studied in a Mediterranean shrubland. Experimental manipulation succeeded in establishing three treatments which, in comparison with the monthly...
CORRELATION OF METEOROLOGICAL PARAMETERS TO CHARACTERIZE WIND SITES: A CASE STUDY OF N'GUIGMI, NIGER
Environmental data analysis and modelling
To assess the impact of climate change on wind regimes, we performed a statistical analysis of some meteorological parameters. Indeed, variables such as temperature, humidity, pressure, and insolation are rarely or not considered in the estimation of wind regimes and therefore in the...
Simulation of temperature trends and thermal stresses on a monument under climate change conditions
Climate change
Climate change affects temperature and its variability, creating increased thermal stress on the materials of monuments located outdoors. This study investigates future temperature trends and their impact on the marble of the Triumphal Arch of Galerius in Thessaloniki, Greece, using data from the...
Tourism Climate Comfort Index (TCCI) – An attempt to evaluate the climate comfort for tourism purposes: the example of Serbia
Climate change
This paper proposes one new attempt to formulate a mathematical approach to climate parameters in the context of their complex implications for tourist activities through the tourism climate comfort index (TCCI). This paper also aims to formulate an original and optimal mathematical correlation...
Climate Change and Rural Livelihoods -adaptation and vulnerability in Rajasthan
Climate change
natural resources, is already experiencing the effects of climate change. The region’s climate is projected to become harsher, with increased average temperatures, intensity of rainfall events, and increased variability in space & time of monsoon rains being consistently projected for the region...
Climate Change Impact on the Air Quality: The Portuguese Case
General
The changes in greenhouse gases and aerosols emissions are expected to lead to regional and global changes in temperature, precipitation, and other climate variables. The degree to which human conditions and the natural environment are vulnerable to the potential effects of climate change is a key...
Statistical downscaled local climate model for future rainfall changes analysis: A case study of Hyogo prefecture, Japan
Environmental data analysis and modelling
For decades, climate models have been used to understand the present and historical climates, especially global climate models (GCMs). They are used to understand the interaction between climate system processes and forecast future climates. However, the issue of low resolution and accuracy often...
Deep neural networks for climate relation extraction
Climate change
Climate data composes of time series and space series with unknown. These unknown series contains complex co-variation relations of climate data. The extraction of these relations is essential for further revealing the complex representations between time series and space series in climate data. As...
Local scale simulation of air temperature by a two-step hybrid downscaling approach using regional climate modeling and artificial neural networks
General
The influence of microscale and mesoscale meteorology on the local scale variation of air temperature cannot be correctly simulated by the coarse resolution Global Climate Models. The scope of this work is to develop a hybrid dynamic-statistical downscaling procedure and quantify its predictive...
Urbanizational impact on climatic variables and geographical analysis of physical land use land cover variation of a city using Remote Sensing.
Climate change
Climate change has serious implications foron the rise and variation of the average earth’s temperature, and intensified rainfall. In urban areas, temperatures and intensified rainfall variation are noticeably seenin the city which disrupts the normal life of a living things. Also, it affects the...
Climate Change Adaptation in Urban India An Approach for Inclusive Formulation of Local Adaptation Strategies
Climate change
In Kota, the third largest city of Rajasthan, poverty levels are high in many areas and there is a great need to assess the vulnerability and adaptive capacity of different societal groups and sectors to the impacts of climatic variability and change, and to formulate sustainable planning strategies...
Study of future climatic variations of a teleconnection pattern affecting Eastern Mediterranean
General
A teleconnection pattern has been identified between Eastern Mediterranean and Northwestern Europe in the geopotential fields of the upper troposphere (hereafter will be referred to as EMP) during winter and it seems to play significant role in the large-scale atmospheric circulation over...
Modeling Dryness Severity Using Artificial Neural Network at the Okavango Delta, Botswana
Hydrology and Water Resources Management
Water balance studies in the Okavango Delta indicate that more than 90% of inflow into the Delta is lost through evaporation. This coupled with high climatic variability threatens the ecohydrology of the Delta. Trends indicate decreasing rainfall amounts and increasing temperature at the area of the...
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...
Seasonal and interannual coastal wind variability off the central Maluku Islands revealed by satellite oceanography
Environmental data analysis and modelling
The Maluku Islands (henceforth MI) are situated in the northeastern Indonesia. Ocean region off the central MI is pivotal as it provides a course for the Indonesian Throughflow (ITF) through the Lifamatola passage. However, sea surface dynamics off the central MI is unknown until recently due to...
Trends of the daily maximum temperatures in relation with the climatic change and the urbanization in the Athens basin
General
It is well known that the studies that associate the climatic changes with the greenhouse effect, as a sequence of uninterruptedly ongoing figures in the concentration mainly of carbon dioxide, have been focused on the trends of the mean temperature. On the other hand the variability and the trends...
Air temperature variability and trends over Greece
General
In this study, the variability and trends of the mean annual and seasonal surface air temperature in Greek peninsula are examined. The climatic data used, concern mean monthly values of air temperature of 20 meteorological stations of the Hellenic Meteorological Service, for the period 1951-2000...
Study of Daily Extreme Temperature Indices over Sutlej Basin, N-W Himalayan Region, India
Climate change
A detailed analysis of extreme temperature indices for the period of 1970-2005 is conducted over Sutlej river basin located in North-West Himalayan region. For this purpose, daily records of maximum and minimum temperature data were procured from Bhakara Beas Management Board, India for four...
A multiregressed COA-SAM model for predicting seasonal streamflow variability: A case study over Murray river basin
Environmental data analysis and modelling
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...
Sensitivity analysis of Penman evaporation method
Hydrology and Water Resources Management
In this paper the influence of key meteorological variables in Penman evaporation method was explored. Monthly data over a 16-years period (1993-2008)were used from Thissio-Athens meteorological station. The climatic parameters of surface air temperature, relative humidity, wind speed and sunshine...
Time Series Models of Monthly Rainfall and Temperature to Detect Climate Change for Jorhat (Assam), India
Climate change
In the present study, monthly rainfall, maximum temperature and minimum time series models were developed for Jorhat (Assam) situated in northeast India using monthly rainfall, maximum temperature and minimum temperature data from the year 1965 to 2000. A trend free time series of rainfall and...
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
