Interlinked fitting method for heavy metals in river channel sediment

Abstract

Using artificial neural network technique and linear regression method, the invention fits content of heavy metal (HM) in sediments near to plants. Based on correlation between HMs in sediments, it using neural network method to fit contents of other HMs with good correlation in sediments. Finally, using moving average method fits content of HM in sediments at adjacent point so as to predict pollution of HMs of sediments in pollution discharging riverway (PDR). The method includes steps: filtering out and determining relational model between content of HM inside plant and content of HM in sediment based on riverway to be monitored; determining relational model of contents between HMs in sediments; determining model to fit contents of HMss in sediments distributed along riverway. The invention saves sampling time, detecting time, manpower and cost, and makes it possible to test sediments of HM in PDR.

Description

technical field [0001] The invention relates to the field of river channel control in environmental engineering, in particular to a method for predicting and fitting river channel sediment pollution. Background technique [0002] Sewage river channels have become potential sources of pollution due to the accumulation of large amounts of pollutants discharged over the years to form sediments. Sediment monitoring has not been included in the scope of perennial work in most places in my country, and historical data and monitoring point selection experience are scarce. The selection of river sediment monitoring points mostly refers to the location of water quality monitoring points. Generally, the selection basis for river water quality monitoring points The division of administrative boundaries or the downstream of major structures (such as outfalls, tributary inlets). There are two problems in this situation: on the one hand, due to the high fluidity of the water body, the pol...

AI Technical Summary

Problems solved by technology

There are two problems in this situation: on the one hand, due to the high fluidity of the water body, the pollutants in the water body are mixed and diluted in a certain area; while the sediment is relatively stable, the pollutants in the sediment migrate and diffuse. The speed is slow, the range is small, and the limited monitoring points cannot realize comprehensive pollutant monitoring; on the other hand, the collection of sediments is more difficult than that of river water, which is mainly due to the difficulty of sampling due to the existence of overlying water and the complex terrain of river channels. , many outfalls and other reasons, in actual operation, often need a lot of sampling points to reflect the pollution status of river sediments

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