Reduction and control of pollutant load from non-point sources is a key issue to improve the water condition in lakes. In the monitoring of water quality in rivers for this purpose, continuous measurement is required because the pollutant load from non-point sources is highly variable in a process of rain runoff. In practice, however, this requirement is often contradictory to the requirement of data accuracy. This paper proposes a new idea on the "concept of measurement" in order to develop a "dynamic measurement" of the pollutant load. The point of authors' idea is to use empirical relations found in the field as positively as possible, even if we don't have any scientific reason for the relation. Then, results of a field experiment on the pollutant load monitoring are presented to show the feasibility of the idea.