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Effects of irrigated and dryland conditions on energy indices in wheat production: a meta-analysis based on the principal components analysis
Irrigated and dryland production systems have different production inputs and energy indices in the farms. The previous studies compared only some...
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Evaluation of Ambient Air Quality of Major Cities in China Based on Principal Component Analysis and Cluster Analysis
In recent years, the issue of ambient air quality has become one of the important issues facing us. With the help of the SPSS software, this paper... -
Evaluating sustainable agricultural livelihood security in West Bengal, India: a principal component analysis approach
This study undertook an examination of livelihood security in West Bengal, a predominantly agriculture-based region situated in eastern India. Our...
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Investigation of odor pollution by utilizing selected ion flow tube mass spectrometry (SIFT‐MS) and principal component analysis (PCA)
Odor pollution, also referred to as odor nuisance, is a growing environmental concern that is significantly associated with mental health. Once...
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Geospatial assessment of water quality using principal components analysis (PCA) and water quality index (WQI) in Basho Valley, Gilgit Baltistan (Northern Areas of Pakistan)
Public health quality in Gilgit Baltistan (GB) is at threat due to multiple water-borne diseases. Anthropogenic activities are accelerating the...
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Analysis of potentially toxic elements from selected mechanical workshops using the geo-accumulation index and principal component analysis in Omu-Aran Community, Nigeria
Bioaccumulation of potentially toxic elements in soil threatens public health and the ecosystem. This study aims to assess the concentration of...
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Assessment of groundwater salinity using principal component analysis (PCA): a case study from Mewat (Nuh), Haryana, India
In the present study, principal component analysis (PCA) is used to investigate the processes controlling groundwater salinity in the Mewat (Nuh)...
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A comprehensive drought index based on spatial principal component analysis and its application in northern China
In the background of the greenhouse effect, drought events occurred more frequently. How to monitor drought events scientifically and efficiently is...
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MLR index–based principal component analysis to investigate and monitor probable sources of groundwater pollution and quality in coastal areas: a case study in East India
Identifying groundwater contamination sources and supervising groundwater quality conditions are urgently needed to protect the groundwater resources...
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Map** the Spatial distribution of Soil heavy metals pollution by Principal Component Analysis and Cluster Analyses
Contamination of heavy metals in soil is a matter of great concern, which can be evaluated collectively by environmental and multivariate statistical...
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Source apportionment of PM2.5 in Thailand’s deep south by principal component analysis and impact of transboundary haze
Atmospheric particulate matter smaller than 2.5 micron (PM 2.5 ) was evaluated at four sites in the lower southern part of Thailand during 2019–2020 to...
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Application of a novel remote sensing ecological index (RSEI) based on geographically weighted principal component analysis for assessing the land surface ecological quality
In evaluating the integrated remote sensing-based ecological index (RSEI PCA ), principal component analysis (PCA) has been extensively utilized....
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Principal Component Analysis Method to Analyze Many Factors of Disposable Plastic Product Waste
Nowadays, much plastic can be used in our life, which leads to serious pollution, such as corroding soil, producing harmful gases, etc. To solve the... -
Assessment and classification of lignocellulosic biomass recalcitrance by principal components analysis based on thermogravimetry and infrared spectroscopy
AbstractLignocellulosic biomass is a high potential feedstock to produce biofuels and value-added products contributing to sustainable bioeconomy....
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The effects of terrain factors on the drainage area threshold: comparison of principal component analysis and correlation analysis
How and to which extent terrain factors affecting the drainage area threshold (DAT) are disputable. This paper uses principal component analysis...
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Assessment of the correlation between the nutrient load from migratory bird excrement and water quality by principal component analysis in a freshwater habitat
Waterbirds depend on a dispersed network of wetlands for their annual life cycle during migration. Climate and land use changes raise new concerns...
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Implementation of supervised principal component analysis for global sensitivity analysis of models with correlated inputs
Global Sensitivity Analysis (GSA) plays a significant role in quantifying the tangible impact of model inputs on the uncertainty of response...
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Investigation of changes in land use/land cover using principal component analysis and supervised classification from operational land imager satellite data: a case study of under developed regions, Pakistan
Monitoring and understanding Land Use/Land Cover (LU/LC) is critical for sustainable development, as it can impact various environmental, social, and...
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A hybrid novel approach for evaluation of resiliency and sustainability in construction environment using data envelopment analysis, principal component analysis, and mathematical formulation
This article utilizes balanced score card (BSC) and resilience engineering factors for organizational performance. The methodology involves two...
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Determination of the Physico-Chemical and Bacteriological Characteristics of the Groundwater of Angads (Oujda, Morocco) by Principal Component Analysis (PCA)
The development and management of vital resources such as groundwater are crucial for ensuring sustainable access to clean water. This study analyzed...