River pollution tracing system and method based on big data

The invention relates to the field, in particular to a river pollution traceability system and method based on big data, and the system comprises a monitoring area marking module, a maximum calibration period limiting module, a check index analysis module, a contrast check index analysis module and an early warning response module. The monitoring area marking module is used for marking an area which needs to be sampled and is established by the water quality fluorescent fingerprint database of any pollution source as a monitoring area; the maximum calibration period limiting module is used for limiting the maximum calibration period of the monitoring area in the monitoring period; the test index analysis module is used for analyzing a test index corresponding to each type of suspected pollution source based on the traceability event; the contrast check index analysis module is used for analyzing a contrast check index of each type of suspected pollution source in a contrast area; and the early-warning respons