A novel water quality risk assessment framework for reservoir water bodies coupling key parameter selection and dynamic warning threshold determination

Scientific Reports, Год журнала: 2025, Номер 15(1)

Опубликована: Апрель 24, 2025

Water quality early warning is crucial for protecting ecological security and controlling pollution in lakes reservoirs. However, the traditional level may not provide accurate data a specific area. Therefore, it necessary to design an adaptive threshold identification system that conforms actual operating environment. This study monitored nine water parameters-water temperature (WT), pH, dissolved oxygen (DO), permanganate index (CODMn), chemical demand (COD), five-day biochemical (BOD5), total nitrogen (TN), phosphorus (TP), ammonia (NH3-N)-monthly from 11 sampling sites Danjiangkou Reservoir, i.e., largest artificial lake Asia, 2017 2022. The reservoir was divided into three sub-areas by cluster analysis: Danku, Hanku, intake. Quality Index (WQI) used comprehensive spatiotemporal evaluation, minimum WQI (WQImin) model developed using multiple linear regression. Finally, risk early-warning proposed based on frequency analysis, categorizing six levels. findings reveal each area maintains at "good" or "excellent" levels during period. average values, lowest highest, are Hanku (75.44), Danku (78.78), intake (79.07). result shows of Reservoir has been maintained good due control management Chinese government after operation Middle Route South-to-North Diversion Project China. WQImin models have different key parameters: WT, DO, TN, TP, COD common all areas, whereas NH3-N included both models. BOD5 pH were unique models, respectively. TN TP identified as parameters affecting safety Reservoir. thresholds significantly higher than those intake, indicating worst. These dynamically revised through new became available. assessment framework provides robust tool offers scientific reliable reference administrative departments implement effective environment prevention strategies.

Язык: Английский

Unveiling spatiotemporal patterns and key drivers of soil conservation from a “historical-future-intervention” perspective: A case study of the Danjiangkou Reservoir Area, China

Journal of Environmental Management, Год журнала: 2025, Номер 386, С. 125771 - 125771

Опубликована: Май 14, 2025

Язык: Английский