标题：Evaluation of corrosive behaviour and scaling potential of shallow water aquifer using corrosion indices and geospatial approaches in regions of the Yamuna river basin
摘要：AbstractThe research was conducted in the district of Mathura, Uttar Pradesh, India, and samples were obtained and analysed from 65 locations in different parts of the Mathura region in June 2016. Using the obtained water quality parameters of the study area, different types of indices including Ryznar index (RI), Langelier saturation index (LSI), Aggressive index (AI), Larson–Skold index (LS), Puckorius index (PI) and chloride sulfate mass ratio (CSMR) has been assessed and compared. The spatial distribution maps were prepared using the Inverse Distance Weight method and reveal that more than 75% of the total samples lie in the category of LI < 0, while 23% of samples indicate the water to be supersaturated with scaling forming tendency. However, 83% of the total samples point towards moderate corrosive behavior and the Ryznar index of these samples lies between limit of 6.8–8.5. The Ryznar index value of 11% of the total samples is found to be more than 8.5 thus indicating a rigorous corrosive tendency towards the water. The Puckorius index value of less than 6 has been assessed in 20% of the total samples thus conforming to the tendency of water towards scaling. The Puckorius index value between 6 and 7 has been observed in 46% of the total samples analyzed in the present study, thus indicating the water to be little corrosive in nature. The chloride sulfate mass ratio value is found to be greater than 0.5, which is observed in more than 90% of the samples of the study area, thus conforming to the corrosiveness of water towards the distribution system. Most of the indexes show that the corrosion trends in water samples are very high, so that domestic and industrial water quality and distribution systems may have more deteriorated in the future.
关键词：Langelier saturation index;Larson–Skold index;Mathura;Chloride sulphate mass ratio;Corrosion
