The Study Of Apparent Characteristic Pollutants And Classification Of Urban Water

The apparent pollution of water is the main influence factor of the landscapefunction,which is one of the main function of city water.Because of differencesbetween pollutant concentration,there is a high-concentration in certain water，whichis called apparent characteristic pollutants. Based on more than40samples in Suzhoucity,through continuous water monitoring in two years,combined with the past2yearsmonitoring data,this paper established a classifying method of polluted water by usingmathematical statistics software and macroscopic statistical analysis method,in orderto identify the characteristic component in different polluted water and thecharacteristics of apparent pollution, feasibility of the method is verified.This paperhad done the following work:（1）The main pollution had been found out by using factor analysis method aboutlarge amounts of data,respectively is ammonia nitrogen(NH3-N) and totalphosphorus(TP),UV absorbance(UV254),sulfide(S2-),transparency(SD), turbidity andchlorophyll-a(Chl-a).The analysis showed that the apparent pollution was impactedmainly by organic matter、 suspended solids, nutrient, algae, so the water was dividedinto organic leading, inorganic leading,nutrition leading and hybrid.In the other hand,size distribution of suspended solids and molecular weight of dissolved organic mattecan be as the characteristic component of apparent water by the determination（2）Through macro data analysis method, the classified indexes of each type waterwas confirmed and defined separately on the main classification and auxiliaryclassification. The organic leading water was defined as UV254[S2-]1000>10cm-1mg·L-1,Im>5mg/L、 DO<3mg/L； The inorganic leading water was defined asturbidity/Im>5NTU (mgL-1)-1，Im<5mg/L、turbidity>25NTU、DO>5mg/L；Thenutrition leading water was defined as Chl-a>20μgL-1,turbidity/Im<5NTU(mgL-1)-1、UV254[S2-]1000＜10cm-1mg·L-1,Other apparent polluted water is mixed.（3）The results of the clustering classification and the established classificationwere almost the same, from the two aspects of different time and sampling points,byusing the monitoring data of12certain rivers in more than1year (sampling frequencyis1time per week).So this classification method in this paper has feasibility andpractical applications.