Sentence examples for pollutant amounts from inspiring English sources

Experimental tests show that the identification model is effective and efficient: the model can accurately figure out the pollutant amounts or positions no matter single pollution source or multiple sources.

Although the probability of occurrence in practice is small, to test the applicability of the established identification model, taking a water pollutant incident with double sources as an example where pollutant amounts are 3.0 and 5.0 g/s, pollution sources' positions are 300 and 500 m, respectively.

The identification results of pollutant amounts and positions are shown in Table 9.

On this basis, the identification model of a single variable (pollutant amounts or source positions) for multi-sources is established.

When the positions of double sources are known, computing results of pollutant amounts are 2.85 and 5.02 g/s, the relative errors are −5.0 and 0.4 %, respectively.

When the pollutant amounts of double sources are known, the computing results of source positions are 310 and 496 m, the relative errors are, respectively, 3.3 and −0.8 %.

M i,min and M i,max are the lower limit and upper limit for the pollutant amount of the ith pollution source.

To forecast the pollution information and carry out rescue measures, using the established identification model of pollution source to identify the pollutant amount into river or pollutant source position is of great importance.

Combining a one-dimensional water quality model in rivers with a geostatistical method, Fulvio inversely analyzed the pollutant amount on where the pollution source location was known (Fulvio et al. 2005).

(2 where l is the river length (m); M i represents pollutant amount of the corresponding pollution source, (g/s); δ is the Dirac Function; x i is the location (coordinate) of the pollution source, (m); q is the number of pollution sources in the incident.

In the basic genetic algorithm, the genes of kth individual in the population is (X^{k} = (x_{i}^{k},M_{i}^{k} )), where (x_{i}^{k}) is the position and (M_{i}^{k}) represents pollutant amount for the ith pollution source.