| Global NEST Journal

A Statistical Approach to Estimating Water Quality Parameter: A Case Study on Turkey's Rivers

by Yetik M.K.

Water Quality

Monitoring water quality parameters in rivers is of critical importance for decision makers and researchers. However, difficulties such as missing data, test values exceeding certain limits and parameters that are not measured but need to be monitored are among the main problems in monitoring water...

Water Quality Parameters Boxplot +4 more

Enhanced Deep Maxout Network for Monitoring Particulate Matter 2.5 and 10 Concentration in Air via Interpolated Data Smoothing

by Thavasimuthu R. Arnise S. Varatharajan A. Sekar S. AK R. Yadav A.K.

Air Quality

Currently, most of the global population resides in metropolitan areas, where air quality standards are not properly monitored. As a result, people are constantly exposed to air contaminants that exceed the thresholds set by the World Health Organization (WHO). Air quality monitoring system is often...

Air quality monitoring PM concentration 2.5 and 10 forecasting +5 more

Air Pollution Monitoring System using Stacked Attentional Vectormap Convolutional Bidirectional Network with Bobcat Optimization and IoT-Cloud

by Prajul M. Subramanian P. Surendran R.

Air Quality

Air pollution is one of the serious environmental problem that has an impact on ecosystems and human health worldwide. The prediction of air pollution can provide significant information that will permit all parties to take right initiatives. Predicting air quality is considered as a popular...

air pollution Internet of Things +4 more

Prediction of Missing PAHs in the Songhua River using Monte Carlo Expansion, BP Neural Network, and Random Forest Models

by Cao Z. Si X. Chen F. Li M. Meng F.

Issue 2

Chemicals in the environment

Polycyclic aromatic hydrocarbons (PAHs) are toxic and ubiquitous in the water environment. The content of PAHs needs to be systematically and comprehensively detected to achieve the environmental quality assessment. However, due to the constraint of testing cost, detection data in the Songhua river...

Monte Carlo BP neural network +3 more

An Automatic Data-Driven Long-term Rainfall Prediction using Humboldt Squid Optimized Convolutional Residual Attentive Gated Circulation Model in India

by Subramanian S. RaniK G. Madhavan M. Rajendran S.

Issue 10

Climate change mitigation and adaptation

Precise long-term rainfall forecasting is becoming progressively significant, predominantly in periods of fluctuating weather circumstances. These prophecies are indispensable for several areas, including agronomy, water resource supervision, flood attentiveness, and effluence monitoring. This...

rainfall prediction Monthly Forecasting +5 more

Deep Learning and Machine Learning based Air Pollution Prediction Model for Smart Environment Design Planning

by

B. Karthikeyan et al. View all

Issue 5

Air Quality

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...

Air pollution monitoring smart environment +3 more

Neural Networks for Environmental Problems: Data Quality Control and Air Pollution Nowcasting

by

Benvenuto F. and Marani A.

Issue 3

General

This work illustrates the use and some related results of Artificial Neural Networks (ANNs) for data quality control of environmental time series and for reconstruction of missing data. ANNs are applied to the following problems: i) short and medium-term predicting of air pollutant concentrations in...

Artificial neural networks times series nowcasting - forecasting - interpolating - extrapolating.

An application of theoretical probability distributions, to the study of PM10 and PM2.5 time series in Athens, Greece

by

Gavriil I., Grivas G., Kassomenos P., Chaloulakou A. and Spyrellis N.

Issue 3

General

Probability density functions (pdf) have been used in the analysis of the distribution of pollutant data, for examining the frequency of high concentration events. There have been very few studies on the concentration distribution of PM in urban areas. The distribution of PM concentrations has an...

air pollution PM10 +2 more

Application of the SWAT (Soil and Water Assessment Tool) model in the Ronnea catchment of Sweden

by

Bekiaris I.G., Panagopoulos I.N. and Mimikou M.A.

Issue 3

General

The subject of this article is the estimation of quantitative (hydrological) and qualitative parameters in the catchment of Ronnea (1800 Km2, located in south western Sweden) through the application of the Soil and Water Assessment Tool (SWAT). SWAT is a river basin model that was developed for the...

Hydrological modeling water resources management +1 more