Diagnostic evaluation of a small watershed via multivariate statistical analysis and a positive matrix factorization receptor model
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| Publicado en: | Applied Water Science vol. 15, no. 11 (Nov 2025), p. 277 |
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| Publicado: |
Springer Nature B.V.
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| Acceso en línea: | Citation/Abstract Full Text Full Text - PDF |
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| 045 | 2 | |b d20251101 |b d20251130 | |
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| 100 | 1 | |a Jo, Chang Dae |u Nakdong River Environment Research Center, National Institute of Environmental Research, Dalseong-gun, Daegu, Republic of Korea (GRID:grid.419585.4) (ISNI:0000 0004 0647 9913) | |
| 245 | 1 | |a Diagnostic evaluation of a small watershed via multivariate statistical analysis and a positive matrix factorization receptor model | |
| 260 | |b Springer Nature B.V. |c Nov 2025 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a This study employs multivariate statistical techniques, water quality index (WQI), and a positive matrix factorization (PMF) receptor model to identify pollution sources entering a river, and evaluate the water quality. The study aims to establish strategies for effective water quality management in a watershed by identifying water quality characteristics using principal component analysis (PCA), and evaluating the effect of each pollution source using the PMF model. Through PCA, we identified organic matter and nutrients (e.g., nitrogen and phosphorus) as the primary sources of pollution with a significant impact on the target watershed. The PMF receptor model showed that the pollution sources included organic matter (29.61%), chlorophyll (22.52%), and nitrogen-based nutritive salts (19.80%). Furthermore, the WQI revealed a decrease in the calculated values in urban districts; site 1 (85.1) showed the highest value, whereas sites 5 (64.0) and 6 (63.8) showed lower values. The overall water quality remained safe above the moderate level. To maintain safe water quality and ensure effective management practices, it is imperative to consistently monitor the treated water flowing into the river from domestic sewage and industrial wastewater treatment facilities, and implement countermeasures against various non-point pollution sources. By selecting the sections affecting the target watershed and presenting the main factors and contributions of pollution sources, this study provides a range of methods for water quality management through scientific and precise analysis. The diverse analysis techniques employed in this study can be applied to future water quality evaluations. | |
| 610 | 4 | |a Environmental Protection Agency--EPA | |
| 651 | 4 | |a South Korea | |
| 651 | 4 | |a United States--US | |
| 653 | |a Household wastes | ||
| 653 | |a Receptors | ||
| 653 | |a Surface water | ||
| 653 | |a Organic matter | ||
| 653 | |a Phosphorus | ||
| 653 | |a Principal components analysis | ||
| 653 | |a Nitrogen | ||
| 653 | |a Watersheds | ||
| 653 | |a Rivers | ||
| 653 | |a Scientific imaging | ||
| 653 | |a Chromatography | ||
| 653 | |a Nonpoint source pollution | ||
| 653 | |a Climate change | ||
| 653 | |a Statistical analysis | ||
| 653 | |a Sewage | ||
| 653 | |a Water quality | ||
| 653 | |a Precipitation | ||
| 653 | |a Wastewater treatment | ||
| 653 | |a Multivariate analysis | ||
| 653 | |a Multivariate statistical analysis | ||
| 653 | |a Methods | ||
| 653 | |a Statistical methods | ||
| 653 | |a Industrial wastewater treatment | ||
| 653 | |a Industrial wastewater | ||
| 653 | |a Treated water | ||
| 653 | |a Water treatment plants | ||
| 653 | |a Industrial wastes | ||
| 653 | |a Salts | ||
| 653 | |a Pollution sources | ||
| 653 | |a Factorization | ||
| 653 | |a Quality management | ||
| 653 | |a Nitrates | ||
| 653 | |a Pollutants | ||
| 653 | |a Chemical oxygen demand | ||
| 653 | |a Water pollution | ||
| 653 | |a Population growth | ||
| 653 | |a Standard scores | ||
| 653 | |a Quality assessment | ||
| 653 | |a Nutrients | ||
| 653 | |a Water quality management | ||
| 653 | |a River ecology | ||
| 653 | |a Watershed management | ||
| 653 | |a Organic phosphorus | ||
| 653 | |a Variables | ||
| 653 | |a Chlorophyll | ||
| 653 | |a Environmental | ||
| 700 | 1 | |a Kwon, Heon Gak |u Nakdong River Environment Research Center, National Institute of Environmental Research, Dalseong-gun, Daegu, Republic of Korea (GRID:grid.419585.4) (ISNI:0000 0004 0647 9913) | |
| 773 | 0 | |t Applied Water Science |g vol. 15, no. 11 (Nov 2025), p. 277 | |
| 786 | 0 | |d ProQuest |t Publicly Available Content Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3266131845/abstract/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text |u https://www.proquest.com/docview/3266131845/fulltext/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3266131845/fulltextPDF/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |