Analysis of the Water Quality of a Typical Industrial Park on the Qinghai–Tibet Plateau Using a Self-Organizing Map and Interval Fuzzy Number-Based Set-Pair Analysis

The Qinghai–Tibet Plateau (QTP) serves as the origin for several major rivers in Asia and acts as a crucial ecological barrier in China, characterized by its regional conservation significance. Production activities in the industrial park in this special geographical environment may exacerbate its environmental vulnerability. We examined the spatial and temporal patterns of water quality parameters, identified the factors influencing water quality, and evaluated the associated risks using various analytical methods, including the Boruta algorithm and interval fuzzy number-based set-pair analysis (IFN-SPA). The results showed that the average concentrations in the flood season and dry season were significantly different. The average value of Cd in the flood season belonged to the water quality standard of Class II. Different heavy metals show different spatial distribution characteristics, and the reason for the difference comes from livestock farms and industrial enterprises. The results for the flood season and dry season were different, which further proves that meteorological factors can influence water quality. The risk of heavy metals in different rivers presents different spatial distribution characteristics; for example, the risk of heavy metals in the Sigou River is higher. The water quality assessment results indicate the need to develop a well-structured evaluation framework for managing and controlling river water pollution in the future.