Temporal and Spatial Changes of Water Quality in the Yangtze River-Jialing River Basion Automatic Monitoring Stations in Yuzhong District,Chongqing in 2022
The single factor method of surface water environmental quality standard was used to analyze and evaluate the 2022 wa-ter quality data of four automatic monitoring stations in the Yangtze River and Jialing River basin of Yuzhong District,Chongqing.Five factors including water temperature,dissolved oxygen,permanganate index,ammonia nitrogen and total phosphorus were select-ed to study the spatial-temporal variation characteristics of water quality.Pearson correlation coefficient method was used to study the correlation of eight water quality monitoring parameters.The study analyzed the influence of rainfall on water quality and the in-fluence of overflow of Yuzhong sewage pretreatment plant on the downstream water quality automatic monitoring station during heavy rainfall.The results show that the exit sections of the Yangtze River and Jialing River are slightly better than the entry sec-tions,indicating that the water quality of the Yuzhong section is not affected.From the perspective of time change,the monthly change trend of the four automatic water quality monitoring stations are basically the same,and the three pollutants,permanganate index,ammonia nitrogen and total phosphorus,show obvious"double peak"phenomenon,and the high value basically appears from May to June and September to October.Through Pearson correlation coefficient analysis,it shows that rainfall is negatively correlated with permanganate index and positively correlated with total phosphorus,but the correlation not significant.Through the correlation analysis of 8 water quality monitoring parameters,it is found that permanganate index and total phosphorous are impor-tant factors affecting the water quality of Liangjiang River.
spatio-temporal variation of water qualitysingle factor methodPearson correlation coefficientcorrelation analysis
NETL
NSTL
万方数据
