Published: Dec. 27, 2024
Language: Английский
Published: Dec. 27, 2024
Language: Английский
Technology in Society, Journal Year: 2024, Volume and Issue: 79, P. 102755 - 102755
Published: Nov. 6, 2024
Language: Английский
Citations
9Environmental Geochemistry and Health, Journal Year: 2025, Volume and Issue: 47(3)
Published: Jan. 30, 2025
Language: Английский
Citations
0Ecological Indicators, Journal Year: 2025, Volume and Issue: 172, P. 113299 - 113299
Published: March 1, 2025
Language: Английский
Citations
0Journal of Materials Research and Technology, Journal Year: 2025, Volume and Issue: unknown
Published: April 1, 2025
Language: Английский
Citations
0Ecological Indicators, Journal Year: 2025, Volume and Issue: 175, P. 113491 - 113491
Published: May 1, 2025
Language: Английский
Citations
0CATENA, Journal Year: 2024, Volume and Issue: 246, P. 108322 - 108322
Published: Sept. 6, 2024
Language: Английский
Citations
2Sustainability, Journal Year: 2024, Volume and Issue: 16(20), P. 8766 - 8766
Published: Oct. 10, 2024
Water quality assessment is an important method for understanding the spatial-temporal variation characteristics of water quality. Therefore, present study has been performed to evaluate a typical plain river network area in Changzhou City, Jiangsu, China, where system characterized by reciprocal flow and diverse pollution sources. The samples from 2017 2021 were comprehensively assessed using comprehensive methods that combine single-factor index (SFPI) with multivariate statistical analysis. Initially, analyses conducted exceedances correlations SFPI was applied classify categories. Furthermore, principal component analysis (PCA) cluster (CA) employed reduce dimensionality indicators group monitoring sections similar characteristics. results indicate overall City lightly polluted trend improvement. primary pollutants identified are total phosphorus (TP) ammonia nitrogen (NH3-N). This highlights organic pollution, self-purification capacity, eutrophication bodies most significant factors affecting sampling sites classified into three groups (good, moderate, poor). this provide theoretical reference environment management ecological protection areas.
Language: Английский
Citations
2Water Environment Research, Journal Year: 2024, Volume and Issue: 96(12)
Published: Dec. 1, 2024
Abstract Groundwater underpins water supply for most of the world's regions, yet its sustainable utilization has been markedly compromised by inappropriate exploitation and a multitude pollution sources. Water quality evaluation emerged as an essential strategy to guarantee optimized vigilant conservation resources. In this study, principal component analysis (PCA), entropy weight method (EWM), coefficient variation (CVM), Quality Index (WQI) were used construct integrated WQI groundwater assessment model that integrates PCA‐CVM‐EWM dimensionality reduction optimization. Taking village in Shandong Province, China, example, PCA identified seven indicators. The CVM‐EWM coupled calculate comprehensive weights through principle minimum information entropy, followed based on values. results indicated Class III predominated study area, accounting 74%, with localized present. hydrochemical type was primarily SO 4 ·HCO 3 ‐Ca, significantly influenced human activities. coefficients Fe, Mn, NH ‐N all exceeded 1. Compared other methods, demonstrated superior performance selection evaluative indicators, distribution, assessment, showing distinct advantage data numerous indicators substantial variation. findings provided scientific reference diagnosing issues formulating preventive control measures. Practitioner Points A index constructed. Optimized steps selecting assigning model. Selection indicator correlation analysis. variability is considered.
Language: Английский
Citations
2Published: Jan. 1, 2024
Language: Английский
Citations
0Published: Dec. 27, 2024
Language: Английский
Citations
0