Monitoring and evaluation on water quality of Hun River based on landsat satellite data

As the most abundant inland river of water resource in Liaoning province, Hun River affords industrial and agricultural production and domestic water task in central city group of Liaoning province. Recently, dozens of sewage draining exits in different sizes are constantly discharging along Hun River. Environmental monitoring communique can discover that indicators of ammonia nitrogen and COD are very high. Ammonia nitrogen and COD concentration are one of important indicators to measure water environment and it is significant to monitor, evaluate and study the polluted river quality. Since river quality directly affects social production and humans' routine life, it is necessary to enhance monitoring and management of Hun River. Routine water quality monitoring technology consumes time and energy so it is very difficult to reflect water quality of the whole river. In recent years, remote sensing monitoring technology rapidly develops and it has features of broad scope, fast speed and continuous monitoring in periodic. This makes up the limitation of artificial water quality monitoring so it has huge application potential in water quality monitoring large area of water area. This paper takes Hun River in Fushun city section as research object and utilizes corresponding Landsat remote sensing image data and important water quality parameter ammonia nitrogen and COD content correlation analysis. The paper constructs water quality remote sensing-based inversion model, applies model to inverse overall distribution of ammonia nitrogen and COD content of important water quality parameter. It applies remote sensing satellite to inverse ammonia nitrogen and COD concentration to perform overall monitoring on river ammonia nitrogen and COD pollution distribution. Meanwhile, it provides technological support for further application of remote sensing technology to perform real time dynamic monitoring and water pollution warning in water.