[Influencing Mechanism of Precipitation Pollution Intensity in Qinhuai River Basin Based on Random Forest].

Analyzing the distribution characteristics of precipitation pollution intensity in the basin and identifying the main factors affecting the precipitation pollution intensity are the important basis for realizing the accurate management of diffused pollution. Based on the surface water quality data from four typical sections of the main stream of Qinhuai River Basin and rainfall data collected from 2021 to 2022, the distribution characteristics of precipitation pollution intensity in the basin were analyzed, and representative natural and social factors were selected to construct models of the precipitation pollution intensity of ammonia nitrogen （NH-N）, permanganate index, and total phosphorus （TP） based on random forest algorithm. Additionally, the main driving factors of precipitation pollution intensity were identified, and the influencing mechanism was analyzed.

Anti-inflammatory flavonoids from Cryptocarya chingii.

Six flavonoids named cryptogiones A-F, and nine known compounds were isolated from an ethanol extract of stems of Cryptocaryachingii. The structures of the compounds were elucidated by interpretation of comprehensive spectroscopic data and X-ray analysis. A majority of these flavonoids contained an acetic acid/lactone moiety, a possible taxonomic marker.