Abstract: Disclosed are a method and system for intelligent source tracing of organic pollution of a water body, which belongs to the technical field of environmental analytical chemistry. The method comprises: acquiring organic matter analysis and detection data from water samples of a polluted water body through high performance liquid chromatography-tandem mass spectrometry; performing high-throughput screening on the organic matter in the water samples according to said data to determine pollutants; identifying pollution sources by means of network analysis according to the determined pollutants; and according to the identified pollution sources and the organic pollutants, determining key pollutants and quantifying the pollution contributions thereof by using a machine learning classification model.

Abstract: Disclosed are a method and system for intelligent source tracing of organic pollution of a water body, which belongs to the technical field of environmental analytical chemistry. The method comprises: acquiring organic matter analysis and detection data from water samples of a polluted water body through high performance liquid chromatography-tandem mass spectrometry; performing high-throughput screening on the organic matter in the water samples according to said data to determine pollutants; identifying pollution sources by means of network analysis according to the determined pollutants; and according to the identified pollution sources and the organic pollutants, determining key pollutants and quantifying the pollution contributions thereof by using a machine learning classification model.

Abstract: Disclosed is an organic carbon detector that can be used with a liquid chromatography equipment such as a size exclusion chromatography. The organic carbon detector contains a carbon oxidization subsystem and a stripping and CO2 detection subsystem arranged and detachably connected with each other in said order. The carbon oxidization subsystem contains a microfluidic agent injection module (1), an inorganic carbon removal module (2), a microfluidic ultraviolet oxidation module (3) and a vacuum pumping system (4), configured to remove inorganic carbons and oxidize organic carbons. The stripping and CO2 detection subsystem contains a stripping module (7) and a CO2 detector (12), using a carrier gas to transfer the organic carbon converted gas to the CO2 detector (12). Also disclosed is a method of using the organic carbon detector in water quality monitoring.

Abstract: The present disclosure provides a method for numerical simulation of reactive transport during CO2+O2 in-situ leaching of uranium at a sandstone-type uranium deposit. Unlike the traditional method for numerical simulation of solute transport during in-situ leaching of uranium with consideration of only convection and diffusion, the method permits establishment of a multi-field coupled reactive solute transport model to simulate the dynamic leaching process of a sandstone-type uranium deposit in Northern China. The method provided in the present disclosure includes: creating a thermodynamic database suitable for CO2+O2 leaching of a sandstone-type uranium deposit in Northern China, and with consideration of the dynamic reaction process of uranium dissolution under combined action of oxygen O2 (aq) and bicarbonate HCO3?, performing numerical simulation of reactive transport during CO2+O2 in-situ leaching of uranium using a TOUGHREACT simulation technology framework.

Abstract: Disclosed are a size exclusion chromatography-combined nitrogen detector and an application method thereof, which belong to the field of detection and analysis of water quality. The detector comprises an oxidation system (1), a nitrate detection system (2), a power supply system (3), and a signal processing and control system (4), wherein after being separated by size exclusion chromatography, a sample to be detected enters into the oxidation system (1) to undergo oxidation treatment, and after nitrogenous compound in the sample is converted into nitrate, the sample is detected in the nitrate detection system (2) by ultraviolet (UV) absorbance method. The power supply system (3) supplies power to the detector, and the signal processing and control system (4) is responsible for processing and controlling signals of the oxidation system (1) and the nitrate detection system (2).

Abstract: Disclosed is an organic carbon detector that can be used with a liquid chromatography equipment such as a size exclusion chromatography. The organic carbon detector contains a carbon oxidization subsystem and a stripping and CO2 detection subsystem arranged and detachably connected with each other in said order. The carbon oxidization subsystem contains a microfluidic agent injection module (1), an inorganic carbon removal module (2), a microfluidic ultraviolet oxidation module (3) and a vacuum pumping system (4), configured to remove inorganic carbons and oxidize organic carbons. The stripping and CO2 detection subsystem contains a stripping module (7) and a CO2 detector (12), using a carrier gas to transfer the organic carbon converted gas to the CO2 detector (12). Also disclosed is a method of using the organic carbon detector in water quality monitoring.