Quick qualitatively and quantitatively optimizing method of phytoplankton

Abstract

The invention discloses a quick qualitatively and quantitatively optimizing method of phytoplankton. The method comprises the two steps of a qualitative optimizing process and a quantitative optimizing process, wherein in the qualitative optimizing process, an electronic eyepiece is used for shooting various algae species and storing shot algae species pictures into computer terminal equipment, therefore, the reproduction of algae species information is guaranteed, thus the accuracy of algae identification can be improved; a classification retrieval list of an integral qualitative library canbe used for conveniently determining unknown algae species so as to more accurately realize algae identification works; in the quantitative optimizing process, a data processing process is integrated, i.e. various algae in a water sample are counted on the computer terminal equipment, and three parameters of a water volume, the water sample volume acquired by filtering and concentrating and a vision volume measured by observation this time are needed to be filled on the computer terminal equipment; and the work of data analysis is automatically finished by the computer terminal equipment without tabulating, compiling a formula and aggregating data, thus the data processing process is simple, takes less time and is accurate and timely.

Description

technical field [0001] The invention relates to a phytoplankton identification technology, in particular to a fast qualitative and quantitative optimization method for phytoplankton. Background technique [0002] Algal blooms and red tides have become increasingly frequent in recent years, causing a series of environmental and health problems. In early 2008, the Ministry of Water Resources launched the monitoring of algae in national key lakes, reservoirs, and urban rivers and lakes; in early 2009, the Ministry of Environmental Protection also began to strengthen the algae monitoring team and monitoring level of my country's environmental monitoring system; the Ministry of Construction also required the national The water quality monitoring centers of the tap water system strengthen the monitoring of algae and algal toxins in source water. [0003] my country's "Water Environment Monitoring Specification" requires that quantitative counting of phytoplankton (phytoplankton al...

AI Technical Summary

Problems solved by technology

[0007] The classic microscopic identification and counting method has the following problems in terms of qualitative observation: 1. There are no photos of algae, so it is very difficult to reproduce (especially the algae species with less content and difficult to identify for a while), which affects the accuracy of algae identification 2. When there are many algae species, duplication of work will inevitably occur (for example, forgetting whether the current algae species has appeared, and need to check the book), which takes a long time; specific quantitative observations have the following problems: 1. During the counting process , if there are many species of algae, it is necessary to constantly turn over the book to determine the name of the species of algae. It is still a bit difficult for novices to distinguish about 100 species of algae; A large amount of mechanical labor such as unit wet weight and writing formulas, each sample has to be processed once, 100 samples means 100 times of data processing, the workload is heavy, it is easy to make the testers fatigue and make mistakes, and it takes a long time

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