Single-Well Pumping-Injection Model for Groundwater Pollutant Control
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Solution Overview
Problem
The difficulty in accurately specifying parameters for water pumping in groundwater pollutant control due to the non-homogeneous structure of underground media, making it challenging to predict the transport and diffusion of pollutants in aquifers.
Innovation Solution
A groundwater pollutant control method and apparatus using a single-well pumping-injection process, which involves determining first, second, and third parameters characterizing the pollutant, hydraulic parameters, and using a pumping-injection three-stage solute transport model trained on sample data to simulate the transport process and predict pollutant distribution, enabling a more accurate control plan.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If Fick's law is used to describe groundwater pollutant transport, then the transport rule can be theoretically described, but it cannot accurately reflect the transport behavior in non-homogeneous underground media
Solution Approach 1:
The patent transforms the traditional Fick's law parameters into a data-driven parameter system using machine learning. The model learns optimal transport parameters from historical monitoring data, allowing parameters to adapt to non-homogeneous media characteristics rather than relying on fixed theoretical values that fail in complex underground environments.
Solution Approach 2:
The patent replaces the mechanical/mathematical Fick's law system with a machine learning-based predictive system. Instead of using deterministic partial differential equations that assume homogeneous media, the system uses trained neural networks to predict pollutant transport based on actual observed behavior in the specific non-homogeneous aquifer environment.
2Productivity
If traditional water pumping control is used without accurate diffusion knowledge, then the control process can be initiated, but the parameters cannot be accurately specified
Solution Approach 1:
The patent implements a feedback mechanism where the machine learning model continuously learns from actual pollutant concentration monitoring data during the control process. The model uses observed diffusion patterns to refine its predictions and adjust pumping parameters in real-time, creating a closed-loop control system that improves parameter accuracy as more data becomes available.
Solution Approach 2:
The patent performs preliminary training of the machine learning model using historical data before initiating the control process. This preliminary action establishes initial parameter specifications based on learned patterns from past pollution events, enabling the control process to start with more accurate parameters rather than relying on rough estimates.
3Adaptability or versatility
If single-well pumping-injection is used for pollutant diffusion, then the pollutant can be dispersed in groundwater, but the diffusion situation cannot be accurately monitored
Solution Approach 1:
The patent introduces machine learning algorithms as an intermediary between the physical diffusion process and the monitoring system. The model acts as a virtual sensor that translates limited physical measurements into comprehensive diffusion situation assessments, inferring unobservable concentration patterns from available data points through learned spatial and temporal relationships.
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 allows for a more precise simulation and prediction of groundwater pollutant distribution, enabling effective evaluation and remediation of groundwater pollution by reflecting the inhomogeneity and anisotropy of the aquifer, thus improving the applicability of groundwater dynamics in both production and life.
Implementation Method 1
a pollutant, such as industrial wastewater, enters an artesian aquifer (aquifer) via a deep well and is diffused with the movement of the groundwater
Implementation Method 2
is diffused with the movement of the groundwater
Data Source
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AI summary
The disclosure discloses a groundwater pollutant control method and apparatus based on single-well pumping-injection, relating to the field of environment control. The method includes: determining first parameters, second parameters and third parameters of a to-be-controlled area; inputting the first parameters, the second parameters and the third parameters into a pumping-injection three-stage solute transport model to obtain fourth parameters output by the pumping-injection three-stage solute transport model; the fourth parameters characterizing parameters of a groundwater pollutant in a water pumping stage and including a starting time, a duration and a water pumping speed of the water pumping stage; and drawing up a control plan for the to-be-controlled area on the basis of the fourth parameters. According to the disclosure, a transport process of the groundwater pollutant, namely a groundwater solute, is simulated by means of the pumping-injection three-stage solute transport model to know about a distribution situation of the groundwater pollutant in the to-be-controlled area, based on which the pollution level of groundwater is evaluated, and specific parameters required for physical cleaning in the to-be-controlled area are set, so that groundwater pollution can be better evaluated and remediated.