5 results about "Contaminated Substance" patented technology

The application discloses a kind of quantitative tidal river section pollutant flux analysis method, comprising the following steps: S1, the equation of concentration variation of pollutant is established;S2, the water flux equation of river section at the time period to be studied is established;S3, based on water flux equation and the equation of concentration variation of pollutant at the section, the pollutant flux equation of river section at the time period to be studied is established;According to the pollutant flux equation, the hourly flux of pollutant at the section at the time period to be studied is calculated.The application can calculate the hourly variation process of pollutant concentration which sufficiently reflects the concentration oscillation caused by reciprocating flow by inputting tidal level and limited concentration data into the equation of concentration variation of pollutant, and based on the hourly variation data of pollutant concentration, the pollutant flux at the section at a certain time period in the future can be calculated hourly according to the pollutant flux equation, and finally the total pollutant flux at the section per day can be counted, which provides scientific support for water safety decision-making of city managers.

The application discloses a mineral adsorbent and a preparation method thereof. The prepared mineral adsorbent is composed of illite powder, zeolite powder, fly ash, coal gangue powder, dolomite powder and calcium carbonate. The preparation method comprises the following steps: S1, crushing illite, zeolite, coal gangue and dolomite to obtain illite powder, zeolite powder, coal gangue powder and dolomite powder; S2, putting the illite powder, zeolite powder, fly ash, coal gangue powder, dolomite powder and calcium carbonate into a mixer to wet grind to obtain mixed wet materials; and S3, putting the mixed wet materials into a calciner to calcine to obtain the powder-shaped mineral adsorbent. The application has a high removal rate for pollutants in waste gas, can effectively reduce the concentration of dioxin, particulate matter, nitrogen oxides, sulfur dioxide, carbon monoxide, mercury, cadmium, thallium and compounds thereof, antimony, arsenic, lead, chromium, copper, cobalt, manganese and nickel compounds in incineration waste gas.

This application relates to the field of ecological environment restoration technology, and in particular to a wetland ecological restoration and environmental management device, comprising a floating mechanism, an aeration mechanism, a material throwing mechanism, and a control mechanism. The floating body carries the aeration and material throwing mechanisms and floats on the water surface. The aeration mechanism is used to introduce oxygen into the water, and the material throwing mechanism is used to release oxygen-releasing elements into the water. The oxygen-releasing elements fall into the silt layer at the bottom of the water body, and dissolve and release oxygen in the water to increase the oxygen content. The control mechanism is used to control the operation of the aeration and material throwing mechanisms. In this application, through the coordinated operation of the aeration and material throwing mechanisms, the wetland water body can maintain a high oxygen content for a longer period of time, thereby restoring and enhancing the vitality of aerobic microorganisms in the water, purifying pollutants in the water, improving the water quality of the wetland, eliminating black and odorous water, and thus achieving the purpose of wetland ecological restoration and environmental management.

The present application relates to the technical field of pollutant screening. Disclosed are a method and system for identifying organic pollutants in soil on the basis of a combination of AI and high-throughput screening. The method comprises: extracting substance peaks from high-resolution mass spectrometry data of a soil sample; constructing an organic pollutant mass spectrometry database, extracting spectrum features and structural features of compounds from the organic pollutant mass spectrometry database, constructing a molecular fingerprint prediction model, and establishing a spectrum-to-structure mapping relationship; on the basis of the extracted substance peaks, constructing spectrum vectors to predict molecular fingerprints, and acquiring candidate chemical structures by searching the organic pollutant mass spectrometry database; and scoring the candidate chemical structures by means of the predicted molecular fingerprints, selecting chemical structures that meet a preset standard, constructing an identification basis on the basis of the selected chemical structures, and acquiring an organic pollutant identification result for the soil sample. In the present application, non-targeted intelligent analysis is performed by means of the synergistic integration of artificial intelligence and mass spectrometry analysis, thereby realizing the rapid and accurate identification of organic pollutants in soil.