The methodology for assessing the spatial homogeneity of ecosystems with the possibility of subsequent zoning of territories in terms of the degree of disturbance of the environment is considered in the study. The degree of pollution of the water body was reconstructed on the basis of hydrochemical monitoring data and information on the level of the technogenic load in one year. As a result, the greatest environmental stress zones were isolated and correct zoning using geostatistical analysis techniques was proved. Mathematical algorithm computing system was implemented in an object-oriented programming C #. A software application has been obtained that allows quickly assessing the scale and spatial localization of pollution during the initial analysis of the environmental situation.
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http://dx.doi.org/10.1155/2018/7424818 | DOI Listing |
MethodsX
June 2025
Applied Geology Research Group, Faculty of Earth Sciences and Technology, Bandung Institute of Technology (ITB), Bandung, West Java 40132, Indonesia.
The first groundwater modeling of the Bandung Aquifer Basin in 2009 used a finite difference method with a 0.5 km² grid, representing three volcanic geological layers. It assumed uniform hydraulic properties and used an equivalent homogeneous aquifer with anisotropic hydraulic conductivity.
View Article and Find Full Text PDFSoil contamination by heavy metals (HM) is a critical area of research. Traditional methods involving sample collection and lab analysis are effective but costly and time-consuming. This study explores whether geostatistical analysis with GIS and open data can provide a faster, more precise, and cost-effective alternative for HM contamination assessment without extensive sampling.
View Article and Find Full Text PDFInt J Infect Dis
January 2025
School of Population Health, Faculty of Health Sciences, Curtin University, Australia; Geospatial and Tuberculosis Research Team, Telethon Kids Institute, Australia. Electronic address:
Objective: To map subnational and local prevalence of drug-resistant tuberculosis (DR-TB) across Africa.
Methods: We assembled a geolocated dataset from 173 sources across 31 African countries, comprising drug susceptibility test results and covariate data from publicly available databases. We used Bayesian model-based geostatistical framework with multivariate Bayesian logistic regression model to estimate DR-TB prevalence at lower administrative levels.
PLoS Negl Trop Dis
January 2025
The Centre for Health Informatics, Computing, and Statistics (CHICAS), Lancaster Medical School, Lancaster University, Lancaster, United Kingdom.
Background: The Expanded Special Project for the Elimination of Neglected Tropical Diseases (ESPEN) was launched in 2019 by the World Health Organization and African nations to combat Neglected Tropical Diseases (NTDs), including Soil-transmitted helminths (STH), which still affect over 1.5 billion people globally. In this study, we present a comprehensive geostatistical analysis of publicly available STH survey data from ESPEN to delineate inter-country disparities in STH prevalence and its environmental drivers while highlighting the strengths and limitations that arise from the use of the ESPEN data.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Materials Science, Case Western Reserve University, Cleveland, 44106, USA.
Understanding subsurface temperature variations is crucial for assessing material degradation in underground structures. This study maps subsurface temperatures across the contiguous United States for depths from 50 to 3500 m, comparing linear interpolation, gradient boosting (LightGBM), neural networks, and a novel hybrid approach combining linear interpolation with LightGBM. Results reveal heterogeneous temperature patterns both horizontally and vertically.
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