Application of AI Identification Method and Technology to Boron Isotope Geochemical Process and Provenance Tracing of Water Pollution in River Basins

River water is the most important source that people can use. Since 20th century, human influence on river courses has become increasingly serious. The quantitative analysis of quality even more difficult. According to characteristics Fenhe chemistry, pollution time and control factors, contribution rate in polluted body not clear. Therefore, this paper aims use AI identification methods technologies study provenance tracing. combination major elements, trace elements stable isotopes was used chemical characteristics, status, sources area. Because contains a large number sources, it difficult find using traditional methods. Using correlation analysis, principal component multi-factor regression trend other methods, macroelements were analyzed. boron qualitatively quantitatively analyzed mass spectrometry equilibrium equation. isotope value river, showed spatial variation upstream (+5.1‰) < middlestream (+8.6‰) downstream (+9.5‰) dry season, (+6.1‰) (+7.2‰) (+9.0‰) wet season. silicate B calculated by subtracting resources from comprehensive rate. It found about 38.8%, 22% season 49.2%, 17% research results have provided reliable scientific basis for protection Basin. above confirms role method process geochemistry tracing basins.