Ecological Impact Mechanism Model for Lake Ecosystems
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods lack a comprehensive system for evaluating the impact of dissolved organic matter (DOM) and microorganisms on water quality indexes in eutrophic lakes, with unclear interactions between these ecological factors.
Innovation Solution
A method and system integrating three-dimensional fluorescence spectrum, high-resolution Fourier transform ion cyclotron resonance mass spectrometry, and structural equation modeling to establish a coupling model that quantifies the influence chain between DOM, microorganisms, and environmental factors, using latent variables to represent ecological system elements and analyze mediating effects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional environmental monitoring methods are used to assess water quality, then basic water quality indexes can be obtained, but the complex interactions between DOM, microorganisms, and environmental factors cannot be comprehensively evaluated
Solution Approach 1:
The patent combines three-dimensional fluorescence spectrum technology, FT-ICR-MS mass spectrometry, and structural equation modeling into an integrated system. This merging of multiple characterization technologies and analytical methods enables comprehensive evaluation of DOM composition, microbial community structure, and their interactions with environmental factors, resolving the limitation of traditional single-method approaches
Solution Approach 2:
The integrated system serves multiple functions simultaneously: it characterizes DOM molecular composition, analyzes microbial community structure, quantifies environmental factors, and models their interactions. This multi-functionality allows the system to comprehensively assess the complex lake ecosystem without requiring separate evaluation systems for each component
2Measurement precision
If three-dimensional fluorescence spectrum and FT-ICR-MS are used to characterize DOM, then detailed molecular composition can be obtained, but the analysis of microbial communities and their interactions remains insufficient
Solution Approach 1:
The patent merges DOM characterization technologies (three-dimensional fluorescence spectrum and FT-ICR-MS) with microbial community analysis methods (16S rRNA high-throughput sequencing) and environmental factor measurements. This combination creates a unified evaluation system that simultaneously addresses DOM composition, microbial structure, and their interactions, expanding the evaluation scope beyond what any single technology can achieve
3Productivity
If structural equation modeling is applied to analyze ecological relationships, then the influence chain between factors can be quantified, but the integration with molecular-level DOM and microbial characterization is incomplete
Solution Approach 1:
The patent integrates structural equation modeling with molecular-level DOM characterization data from three-dimensional fluorescence spectrum and FT-ICR-MS, as well as microbial community data from 16S rRNA sequencing. This integration allows the modeling to be based on comprehensive, high-precision input data, enabling both efficient quantification of influence chains and deep understanding of ecological mechanisms at multiple organizational levels
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach provides a detailed understanding of the coupling relationships and mutual influences among DOM, microorganisms, and environmental factors, improving the characterization of DOM and microbial communities, and clarifying the impact mechanisms in lake ecosystems.
Implementation Method 1
Three-dimensional fluorescence spectrum is widely used in the characterization of DOM in natural waters
Implementation Method 2
High-resolution Fourier transform ion cyclotron resonance mass spectrometry (FT-ICR-MS) has become a reliable tool for in-depth molecular characterization, which can more finely distinguish molecular compounds that can not be distinguished by fluorescence spectrum
Data Source
AI summary
A method and a system for obtaining ecological impact mechanism are provided. The method includes the following steps: S1, collecting samples: collecting water and sediment samples of different seasons, different locations, and different depths; S2, screening indexes: selecting indexes of characterization DOM information, microbial community information and environmental factor information; S3, determining indexes: determining the selected DOM information, microbial community information and environmental factor information in S2 to obtain index determination data; S4, preprocessing data: preprocessing the DOM information and the microbial community information based on the index determination data obtained in S3; and S5, establishing model: establishing latent variables based on screened indexes, allocating the latent variables to the model based on a sediment system and an interaction system of water and sediment, and establishing the model by importing data, setting the latent variables, constructing a path and checking the model.