US 2026/0087770 A1 · METHOD AND SYSTEM FOR ASSESSING CONTAMINATION LEVEL OF NON-AQUEOUS PHASE LIQUIDS (NAPL) IN GROUNDWATER

Abstract

A method and system for assessing contamination level of non-aqueous phase liquids (NAPL) in groundwater based on image learning are provided herein. A water image data of groundwater monitoring wells is acquired, processed, and extracted to give image features. Types and concentrations of the NAPLs in groundwater are obtained based on monitoring data of groundwater monitoring wells collected within a preset period, and matched with the image features of the water image data to construct a feature dataset. A groundwater NAPL contamination database is established based on the feature dataset in combination with local hydrogeological information. A groundwater NAPL contamination level assessment model is constructed based on deep learning, and trained by utilizing the groundwater NAPL contamination database. The NAPL contamination level of water in the groundwater monitoring wells is determined to issue the contamination early warning.

Claims10

Dependent claims

A method for assessing contamination level of non-aqueous phase liquids (NAPL) in groundwater based on image learning, comprising:

(S1) acquiring water image data of groundwater monitoring wells within a research area;
preprocessing the water image data;
and extracting image features from a preprocessed water image data;
(S2) obtaining types and concentrations of NAPLs in groundwater based on monitoring data of the groundwater monitoring wells collected within a preset period;
(S3) matching the image features with the types and concentrations of the NAPLs to construct a feature dataset;
and establishing a groundwater NAPL contamination database based on the feature dataset in combination with local hydrogeological information;
(S4) constructing a groundwater NAPL contamination level assessment model based on deep learning;
training the groundwater NAPL contamination level assessment model by utilizing the groundwater NAPL contamination database;
determining a NAPL contamination level of water in the groundwater monitoring wells based on a trained groundwater NAPL contamination level assessment model;
and issuing an early warning based on the NAPL contamination level.

7 more elements

A system for assessing contamination levels of non-aqueous phase liquid (NAPL) in groundwater based on image learning, comprising:

a memory;
and
a processor;
wherein the memory is configured to store a program;
and
the processor is configured to execute the program stored in the memory to perform steps of:
(S1) acquiring water image data of groundwater monitoring wells within a research area;
preprocessing the water image data;
and extracting image features from a preprocessed water image data;
(S2) obtaining types and concentrations of NAPLs in groundwater based on monitoring data of the groundwater monitoring wells collected within a preset period;
(S3) matching the image features with the types and concentrations of the NAPLs to construct a feature dataset;
and establishing a groundwater NAPL contamination database based on the feature dataset in combination with local hydrogeological information;
(S4) constructing a groundwater NAPL contamination level assessment model based on deep learning;
training the groundwater NAPL contamination level assessment model by utilizing the groundwater NAPL contamination database;
determining a NAPL contamination level of water in the groundwater monitoring wells based on a trained groundwater NAPL contamination level assessment model;
and issuing an early warning based on the NAPL contamination level.

13 more elements

Dependencies are inferred from the claim text.

Method and system for assessing contamination level of non-aqueous phase liquids (napl) in groundwater

Life of this patent

Method and system for assessing contamination level of non-aqueous phase liquids (napl) in groundwater

Life of this patent

Abstract

Claims10