9 Assessments

9.1 Conventionals (rivers & streams, non-ALU lake surface)

9.1.1 Count exceedances

conv_exc=countExceedances(conventionals)


Figure 9.1: Count exceedances example output from conventionals data.

9.1.2 Assess exceedances

Rivers and streams conventional assessment methods outline. Interpreted in R, the whole flowchart is a function, the diamonds are arguments, and the ovals are the return values.

Figure 9.2: Rivers and streams conventional assessment methods outline. Interpreted in R, the whole flowchart is a function, the diamonds are arguments, and the ovals are the return values. 


conv_assessed=assessExcCounts(conv_exc, min_n=10, max_exc_pct=10, max_exc_count_id=1)


Table 9.1: Conventionals assessment category frequencies.
IR Category Frequency
FS 2388
idE 127
idNE 4029
NS 133


Figure 9.3: Assessed exceedances example output from conventionals data.



Figure 9.4: Map of site-level TDS assessments.

9.2 Toxics

9.2.1 Count exceedances

toxics_exc=countExceedances(toxics)

9.2.2 Assess exceedances

toxics_assessed=assessExcCounts(toxics_exc, min_n=4, max_exc_count=1, max_exc_count_id=0)

9.3 Lake profiles

assessed_profs=assessLakeProfiles(lake_profiles)
profs_assessed=assessed_profs$profile_asmnts_mlid_param

9.4 E.coli (not run)

assess_ecoli = assessEColi(prepped_data$ecoli)

9.5 HFDO (not run)

assess_hfdo = assessHFDO(hfdo_data, min_n = 10)

9.6 Group assessments

assessments=list(toxics_assessed=toxics_assessed, conv_assessed=conv_assessed, profs_assessed=profs_assessed)