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Heavy metal pollution indices estimation and principal component analysis to evaluate the groundwater quality for drinking purposes in coalfield region, India
Open-cast coal mining significantly influences groundwater chemistry day by day through contaminated leachate from overburden dumps. In order to...
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Evaluation of seawater dynamics toward land using hydro-chemical analysis along the Bagerhat coast of Bangladesh
Subterranean and surface water resources play a vital role in socio-economic development, but increasing salinity is continuously creating a...
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Chemical Characteristics and Public Health Risk Assessment of PM2.5-Bound Elements in Sheohar, India
In order to measure the seasonal variations, source identification, and human health risk of elements in PM 2.5 were collected from January 2021 to...
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Geological interpretation using multivariate K-means and robust factor analysis in Dezak area, SW Iran
The Dezak limestone area, located SW Iran, is a potential site for industrial survey project of Precipitated Calcium Carbonate (PCC). Economic...
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Free vibration analysis of airfield runway rigid pavement by finite element technique
Research on concrete airfield runway pavement has increased globally due to the high demand for sustainable pavements that can withstand airfield...
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Hazard assessment of debris flows based on a PCA-GRNN model: a case study in Liaoning Province, China
In recent years, many studies have investigated the dangerous range of debris flows, but the accuracy with which the dangerous range is predicted is...
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Identifying Size-Segregated Particulate Matter (PM2.5, PM10 and SPM) Sources in an Industrial Town of India
Singrauli coal fields are air polluted in an industrial town in India. The contribution of anthropogenic activities to increased particulate matter...
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Spatial modeling of relationship between soil erosion factors and land-use changes at sub-watershed scale for the Talar watershed, Iran
Soil erosion is one of the most common types of land degradation. To provide useful information for proper management, quantitative soil erosion...
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Spatio-temporal variation and sensitivity analysis of aerosol particulate matter during the COVID-19 phase-wise lockdowns in Indian cities
At the pandemic of COVID-19, the movement of business and other non-essential activities were majorly restricted at the end of March 2020 in India...
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Principal Components Analysis: An Alternative Way for Removing Natural Growth Trends
In this article, we establish a new approach for removing natural growth trends from tree-ring samples, also called detrending. We demonstrate this...
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Beyond texture: unveiling spiny crown-of-thorns starfish with multiresolution analysis
Coral reefs are essential ecosystems in the vast expanses of oceans, nurturing various forms of marine life within their vibrant and expansive...
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Landslide prediction based on improved principal component analysis and mixed kernel function least squares support vector regression model
Landslide probability prediction plays an important role in understanding landslide information in advance and taking preventive measures. Many...
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A Multivariate Geomorphometric Approach to Prioritize Drought Prone Sakri Basin for Land and Water Resource Management
Soil and water resource management is a serious concern in respect of climate variability to increase soil moisture and fulfil the need of living...
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Hydrogeochemistry and multivariate statistical analysis of groundwater quality of Tista alluvial fan, Bangladesh
The present research work is conducted with the water quality data of the Tista alluvial fan of the summer season. The lowered values of groundwater...
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Comparative Analysis of Different Vegetation Indices and Analysis of the Effects of Heavy Metals on Vegetation Using Sentinel Data
Dust emissions from the cement plant of Gabes (south of Tunisia) can affect vegetation cover. A methodological approach based on remote sensing data...
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Spatio-temporal analysis of heavy metals in the sediment of lower Meghna river using contamination indices, multivariate statistics and GIS techniques
The study aimed to measure heavy metals concentration in the lower Meghna river's surface sediments considering seasonal variation using multivariate...
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A machine learning algorithm with random forest for recognizing hidden control factors from seismic fault distribution
Stress interaction among many faults in earthquake prone region is strongly affected by the spatial distribution of faults. To build a robust Machine...
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Watershed prioritization using morphometric analysis and vegetation index: a case study of Huehuetan river sub-basin, Mexico
Soil degradation is one of the most important issues all over the world. Characterizing and describing a watershed is key to develop action plans...
