CCCs Prediction Method Based on Transition Metal Protection Aquatic Organism Water Quality Benchmark

A prediction method and technology of transition metals, applied in the direction of instruments, calculations, electrical digital data processing, etc., can solve the problems that hinder the development of chronic water quality benchmark research of transition metals and consume a lot of manpower

Active Publication Date: 2018-09-25
CHINESE RES ACAD OF ENVIRONMENTAL SCI
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Looking at foreign benchmark studies, a large number of toxicity test experiments used for the derivation of CCCs benchmarks require a lot of manpower, material and financial resources, thus hindering the development of transition metal chronic water quality benchmark research, which is also the main reason why a large number of transition metals do not have CCCs reference values reason

Method used

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  • CCCs Prediction Method Based on Transition Metal Protection Aquatic Organism Water Quality Benchmark
  • CCCs Prediction Method Based on Transition Metal Protection Aquatic Organism Water Quality Benchmark
  • CCCs Prediction Method Based on Transition Metal Protection Aquatic Organism Water Quality Benchmark

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Experimental program
Comparison scheme
Effect test

Embodiment 1

[0041] The CCCs prediction method of transition metal protected aquatic organism water quality benchmark, including the following steps:

[0042] S1. Data selection

[0043]Select 7 kinds of transition metals with benchmark continuous concentration values, i.e. Cr (comprising trivalent Cr and hexavalent Cr), Ni, Cu, Zn, Fe, Cd and Hg are sample elements, select the transition metal ion structure parameters (variable ) characterizes various physical and chemical properties of metal ions, and is used as a variable parameter for modeling;

[0044] The metal ion structure parameters include 26 kinds, which are atomic number, relative atomic mass, atomic radius, covalent radius, ionic radius, melting point, density at 300K, ionization potential change of heat of vaporization, boiling point, OX and OX -1 Ionization potential, electrochemical potential, electronegativity, first hydrolysis constant, covalent constant, atomic ionization ionization potential, softness index, ionization...

Embodiment 2

[0087] The CCCs prediction method for transition metal protection of aquatic organisms water quality benchmarks, including the following steps:

[0088] S1. Data selection

[0089] Select 7 kinds of transition metals with benchmark continuous concentration values, i.e. Cr (comprising trivalent Cr and tetravalent Cr), Ni, Cu, Zn, Fe, Cd and Hg are sample elements, select the transition metal ion structure parameters (variable ) characterizes various physical and chemical properties of metal ions, and is used as a variable parameter for modeling;

[0090] The metal ion structure parameters include 26 kinds, which are atomic number, relative atomic mass, atomic radius, covalent radius, ionic radius, melting point, density at 300K, ionization potential change of heat of vaporization, boiling point, OX and OX -1 Ionization potential, electrochemical potential, electronegativity, first hydrolysis constant, covalent constant, atomic ionization ionization potential, softness index, i...

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Abstract

The invention relates to a criteria continuous concentrations prediction method, in particular to a CCCs (criteria continuous concentrations) prediction method for water quality criteria for aquatic life protection based on transition metals. The prediction method comprises: S1, selecting data; S2, building a PPCR model; S3, testing model goodness of fit and robustness; S4, evaluating an optimal prediction space; S5, predicting criteria continuous concentrations. The prediction method of the invention employs the PPCR method to predict the criteria continuous concentrations of transition metals in the periods IV, V and VI (including lanthanide and actinium series), mass manpower, material and financial resources consumed in chronic toxicity test are avoided, significant methodological advantages are manifested in the criteria deduction process, and reliable reference values are provided for the formulation of chronic water quality criteria for transition metals and the evaluation of risk.

Description

technical field [0001] The invention relates to a method for predicting the continuous concentration of a reference, in particular to a method for predicting the CCCs based on the water quality reference of transition metal-protected aquatic organisms. Background technique [0002] Water quality benchmarks for the protection of aquatic organisms mainly include acute benchmarks and chronic benchmarks. Generally, benchmark maximum concentrations (CMCs) and benchmark continuous concentrations (CCCs) are used as benchmark thresholds for measuring aquatic organisms from acute and chronic damage. For the reference continuous concentration (CCCs), after 30 years of 6 updates of the reference file, in the latest reference file, 7 transition metals listed the reference continuous concentration value (CCCs), namely chromium (Cr), iron (Fe) ), nickel (Ni), copper (Cu), zinc (Zn), cadmium (Cd), mercury (Hg) (USEPA, 2009). [0003] At present, like CMCs, there are more than 60 transitio...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F19/00
CPCG16C10/00
Inventor 王颖吴丰昌冯承莲穆云松秦宁
Owner CHINESE RES ACAD OF ENVIRONMENTAL SCI
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