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Spatio-temporal evaluation of trace element contamination using multivariate statistical techniques and health risk assessment in groundwater, Khulais, Saudi Arabia
Groundwater is the only freshwater source for agriculture and domestic use in the Khulais region of Saudi Arabia (SA). Anthropogenic activities,...
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Assessment of Groundwater and Surface Soil using Multivariate Statistical Techniques and Contamination Indices: A Case Study of Gurugram Millennium City, Haryana, India
Pollution of various environmental components, such as air, water, and soil, is caused by industrialization and urbanization in urban agglomerates....
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Spatial Multivariate Morphing Transformation
Earth science phenomena, in particular mineralization of ore deposits, can be characterized by the spatial and statistical features of multivariate...
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Assessment of Pollution Status in Surajpur Wetland using multivariate statistical analysis, Uttar Pradesh, India
The seasonal water quality of the Surajpur wetland was analysed using 13 physicochemical parameters, including pH, TDS, EC, temperature, total...
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Multivariate statistical analysis of site effect indicators for the Montereale and Capitignano area (AQ) following the seismic sequence in central Italy (2016–2017)
This study investigates site effects for develo** predictive models of site response, for both research purposes and future geognostic...
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Iterative Gaussianisation for Multivariate Transformation
Multivariate conditional simulations can be reduced to a set of independent univariate simulations through multivariate Gaussian transformation of...
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Understanding the geochemical evolution of groundwater in Central Gujarat, India: an integrated hydrogeochemical and multivariate statistical approach
In the present study, the geochemical origin of groundwater of Viswamitri River Basin (VRB), Gujarat, is established by integrating the different...
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GIS-based landslide susceptibility zonation and comparative analysis using analytical hierarchy process and conventional weighting-based multivariate statistical methods in the Lachung River Basin, North Sikkim
In this work, an extensive study of landslide susceptibility zonation (LSZ) has been performed in Lachung River Basin owing to its landslide-prone...
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An Effective Framework for Improving Performance of Daily Streamflow Estimation Using Statistical Methods Coupled with Artificial Neural Network
This study presents an effective framework that combines artificial neural network (ANN) and statistical methods to more efficiently, consistently,...
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Fluoride contamination in groundwater of intensively cropped Upper Yamuna alluvial basin of India: A hydrogeochemical, human health risk assessment, and multivariate statistical perspective
The research is focused on a multivariate statistical approach to assess the groundwater quality, hydrogeochemistry, and human health risk in...
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Multivariate Statistics
Multivariate analysis is used to understand and describe the relationships between an arbitrary number of variables. Earth scientists often deal with...
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Assessment of groundwater quality using Entropy‑Weighted Quality Index (EWQI) and multivariate statistical approaches in Heilongdong Spring Basin, Northern China
Heilongdong Spring Basin (HSB) is an ecologically and economically important area in northern China, with widespread and intensive anthropogenic...
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Identification of hydro-chemical processes in Western Kabul Plain aquifer (Afghanistan) using statistical methods and self-organizing map
Groundwater is the primary source of drinking water for Kabul city residents, and it is also widely utilized for industrial and agricultural...
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Multivariate Statistical Analysis in Assessing Surface Water Toxicity in the Volga Reservoirs (Based on the Results of Bioassay and Chemical Analysis)
AbstractThe effect of the concentration and toxicity of chemical elements in the surface water of the Volga reservoirs on the results of bioassays...
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Multivariate statistical and spatial assessment of water quality from a dam threatened by drought at the mid-Anatolia, Cappadocia/Turkey
Tatlarin dam lake is an important watershed of the Central Anatolia (Cappadocia) Region, which has experienced the effects of global warming on a...
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Geochemical and multivariate statistical characterization of shales of the Oti−Pendjari Group of the Neoproterozoic Basin of Ghana: implication of paleoweathering, climatic conditions, and provenance
The Oti−Pendjari Group of the Voltaian basin is the largest and thickest of the three Groups of the basin and has had limited research attention...
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Modeling and characterization of shallow aquifer water based on ion concentrations to salinity variations using multivariate statistical approach
Water chemistry data (1965–2015) from the Chicot and Evangeline aquifers in Nueces and Kleberg counties of Texas were analyzed to assess the...
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Statistical modeling and map** of rainfall in the endorheic basins of Northern Algeria: a comparison of spatial interpolation methods
The creation of rainfall maps often relies on preliminary spatial interpolation. Significant deviations from the real distribution of rainfall are...
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Flood susceptibility assessment and map** in a monsoon-dominated tropical river basin using GIS-based data-driven bivariate and multivariate statistical models and their ensemble techniques
Floods constitute the most frequent and damaging natural hazard in monsoon dominated Indian subcontinent. Therefore, flood susceptibility modeling...
