This study analyzed physicochemical parameters and phenolic pollutant concentrations from 168 water samples collected at 84 surface water sampling sites in the Yangtze River Basin. A structural equation modeling (SEM) framework was constructed to quantify the direct and indirect pathways through which phenolic pollutants impact chemical integrity. The methodology involved the integration of conventional water quality parameters, phenolic compounds, and heavy metal data, with a chemical pressure index being constructed using principal component analysis (PCA). The mediating effects of environmental regulatory factors were analyzed via partial least squares SEM. It was found that phenolic pollution significantly impaired chemical integrity through direct toxic effects (path coefficient β = -0.55) and indirect pathways mediated by environmental controls (β = -0.14), with notable synergistic effects being exhibited by heavy metals. A formula for the Chemical Integrity Index (ICI) was proposed, providing a quantitative tool for watershed pollution management and control.
| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 Genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) |
|---|---|---|---|---|---|---|
| 鹅膏菌科Amanitaceae | 2 | 11 | 5.26 | 鹅膏菌属 Amanita | 10 | 4.78 |
| 小菇科 Mycenaceae | 2 | 12 | 5.74 | 丝盖伞属 Inocybe | 5 | 2.39 |
| 多孔菌科 Polyporaceae | 8 | 14 | 6.70 | 蜡蘑属 Laccaria | 5 | 2.39 |
| 红菇科 Russulaceae | 3 | 23 | 11.00 | 小皮伞属 Marasmius | 6 | 2.87 |
| 小菇属 Mycena | 11 | 5.26 | ||||
| 光柄菇属 Pluteus | 5 | 2.39 | ||||
| 红菇属 Russula | 17 | 8.13 | ||||
| 栓菌属 Trametes | 5 | 2.39 |