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Environmental data analysis and modelling

Below, you can find the latest articles assigned with the topic.

Volume 26 - Issue 8

Neural Network Approach Modelling Mechanical Characteristics of Fly ash, Pond ash and Bottom Ash integrated Geopolymer Composites.

by Shanmugam R. Selvapriya R. Tamilchelvan P. Gopinath M.

Environmental data analysis and modelling

Key features for the quality assertion of geopolymer composites are the vital strength characteristics of geopolymer composites. In this work, an artificial neural network data-driven model was employed for predicting 28-day vital strength characteristics for geopolymer composites incorporated with...

Geo-polymer composites ANN model compressive +4 more

Volume 26 - Issue 5

Prediction of the effect of adsorption on the retention of organic compounds by NF/RO using QSPR-ANN

by

merarsi nechoua et al. View all

Environmental data analysis and modelling

Understanding the retention of organic compounds (OCs) is critical for membrane applications in water recycling. The objective of this study was to create an optimized model using Artificial Neural Networks for Quantitative Structure-Property Relationship (QSPR-ANN) to predict the effect of...

Modelisation hydrophobic adsorption +6 more

Hydrological study and assessment of water budget for Erbil basin, Kurdistan region, Iraq

by

jwan sabah mustafa et al. View all

Environmental data analysis and modelling

This research is conducted on Erbil basin, it is located in northern part of Iraq, the basin is composed of three main sub-basins which are: Northern part (Kapran), Central sub-basin and Southern part (Bashtepa) respectively. The total area of three sub-basins are approximately (3,200 km2). The main...

Hydrological study Evaporation +5 more

Volume 26 - Issue 4

Determination of the Biowall Effective Area to Induce Holistic Sensory Comfort

by

20a30016@student.unika.ac.id et al. View all

Environmental data analysis and modelling

Biowalls are a new phenomenon in interior urban areas, which has proven to contribute positively to sensory comfort. But people use biowalls in different dimensions. Based on field facts, determining the biowall dimensions for human sensory comfort has not emphasized clear principles. The research...

Biowall Biowall Area +5 more

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

by

Linwei Li et al. View all

Environmental data analysis and modelling

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...

Extreme learning machine Carbon dioxide emissions +2 more

Volume 26 - Issue 3

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

by

Muhammad Yousuf Tufail et al. View all

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...

Volume 26 - Issue 2

Volume 26 - Issue 1

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

by

Sunwanee Jijai et al. View all

Environmental data analysis and modelling

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...

Kinetic Model Anaerobic digestion +2 more

Trace Metals Pollution in Ambient Air of Urban and Rural Coastal Environments

by

Haryono Setiyo Huboyo et al. View all

Environmental data analysis and modelling

Air pollution in coastal areas will have a different pattern from mountainous areas due to different wind patterns during the day and night. The city of Semarang, as a representation of urban areas, and Jepara Regency, as a representation of the rural regions, were chosen for this sampling. 24-h...

air pollution coastal +3 more

Harvesting of Dunaliella salina using electrocoagulation with helix electrode and producing HHO gas as promising Hydrogen fuel

by

Mochamad Arief Budihardjo et al. View all

Environmental data analysis and modelling

Biofuels obtained from renewable sources are the only alternative in the global economy from a sustainable point of view. Microalgae have shown tremendous potential as a major source of biomass production that can be used as biofuels. At the same time, gas hydrogen is a non-polluting energy source...

Dunaliella salina Electrocoagulation +3 more

Volume 25 - Issue 10

IOT Technology Based Vehicle Pollution Monitoring and Control

by

O. Pandithurai et al. View all

Environmental data analysis and modelling

Every year, the number of people who die because of pollution rises, with air pollution being the major cause. Air pollution is generated by a variety of factors, one of which is pollution caused by automobiles. Technological improvements make great efforts to detect accidents and monitor the...

Arduino UNO MQ-135 sensor +5 more

Volume 25 - Issue 7

Assessment Of Rainfall Pattern And Future Change For Kelantan River Basin, Malaysia Using Statistically Downscaled Local Climate Models

by

Kok Weng Tan et al. View all

Environmental data analysis and modelling

Climate change has been discussed frequently in recent decades, and it has increased the probability of extreme flood occurrence. This study aims to provide an analysis of future rainfall patterns and flood occurrences specifically for the Kelantan River Basin which is identified as one of flood...

Statistical downscaling local climate model +4 more

Assessment of Object-Based Classification for Mapping Land Use and Land Cover using Google Earth

by

Dr. Geraldine Bessie Amali D et al. View all

Environmental data analysis and modelling

Land Use and Land Cover (LULC) maps perform a significant part in Remote Sensing (RS) in monitoring and analyzing earth information for human development. Because of the high spectrum variability, LULC classification from RS data is extremely difficult. The study's objective is to assess the object...

Remote Sensing Land Use and Land Cover +3 more

Volume 25 - Issue 8

Modeling and Estimation of Solar Radiation through Artificial Neural Network using known Solar Data

by

Naeem Sadiq et al. View all

Environmental data analysis and modelling

The paper attempts to discover a city's global, direct beam, and diffused solar radiation with the help of known solar radiation of its neighbor(s). Two distinctive architecture have been used to find the solar radiation of a city. In the first architecture, we used single input and a single hidden...

Artificial Neural Network Global Radiation +2 more

Volume 25 - Issue 6

Prediction of Land Use and Landcover Changes in Tiruppur Tamilnadu Using Hybrid Convolutional Neural Network

by

K.G. Akshaya et al. View all

Environmental data analysis and modelling

Land use and landcover change (LU/LC) are important in global change studies because they can transform the local and global environment by developing the biochemical, biochemical and biogeographic properties of the Earth's structure. This paper is intended to develop Hybrid Convolutional Neural...

hybrid convolutional neural network remora optimization algorithm +2 more

Volume 25 - Issue 5

Statistical downscaled local climate model for future rainfall changes analysis: A case study of Hyogo prefecture, Japan

by

Kok Weng Tan et al. View all

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...

CanESM2 Statistical downscaling +3 more

Volume 25 - Issue 4

Drainage network flow anomaly classification based on XGBoost

by

Tai YJ et al. View all

Environmental data analysis and modelling

Identifying and classifying anomalies in on-line monitoring systems of drainage systems is important to reduce urban water pollution. In the context of big data, the mini-batch K-means combined with the XGBoost drainage network abnormal flow identification and classification model is proposed to...

traffic anomaly classification recognition +2 more

Volume 24 - Issue 3

Advanced deep learning method for Aerial image segmentation of landscape changes in pre-and post-disaster scenarios

by

Pushpa latha C et al. View all

Environmental data analysis and modelling

The precise analysis of conditions in the landscape before and aftermath of the disaster is a mandatory challenge in aerial image landscape monitoring. The change in patterns of landscape, damaged pathways, and damaged areas will have a major impact without monitoring and redevelopment. Therefore...

landscape monitoring aerial image +3 more

Volume 24 - Issue 2

CORRELATION OF METEOROLOGICAL PARAMETERS TO CHARACTERIZE WIND SITES: A CASE STUDY OF N'GUIGMI, NIGER

by

MOUMOUNI GUERO Mohamed (elhmehd@gmail.com) et al. View all

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...

Climate variability Principal component analysis +3 more

Volume 24 - Issue 1

Seasonal and interannual coastal wind variability off the central Maluku Islands revealed by satellite oceanography

by

Iskhaq Iskandar et al. View all

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...

ENSO IOD +3 more

Volume 23 - Issue 4

New Regression models for Estimation daily temperature of Karachi and its Neural Network analysis

by

adeel.tahir@fuuast.edu.pk et al. View all

Environmental data analysis and modelling

This study presents the determination of the average daily temperature distribution for Karachi city. Artificial Neural Network (ANN) has been used to predict the average daily temperature of 2018, 2019, and 2020. Two regression models (linear and non-linear) were also developed. These models are...

neural network regression +3 more

Volume 23 - Issue 2

Modeling for Mitigating Storm Water Unban Flooding and Water Quality Issues by Using Small Serial Dams: A Case Study of the City of San Angelo

by

Tae Jin Kim et al. View all

Environmental data analysis and modelling

The City of San Angelo has been imposed on urban flooding and no-point source pollution and develop storm water monitoring and modeling project for managing these storm water issues. This study focuses on the stormwater peak flow reduction and water pollutant improvement by using small serial...

Best Management Practice Multiple Regression Equation +3 more