The following is an apparatus and a method that enables the automated collection and identification of airborne particulate matter comprising dust, pollen grains, mold spores, bacterial cells, and soot from a gaseous medium comprising the ambient air. Once ambient air is inducted into the apparatus, aerosol particulates are acquired and imaged under a novel lighting environment that is used to highlight diagnostic features of the acquired airborne particulate matter. Identity determinations of acquired airborne particulate matter are made based on captured images. Abundance quantifications can be made using identity classifications. Raw and summary information are communicated across a data network for review or further analysis by a user. Other than routine maintenance or subsequent analyses, the basic operations of the apparatus may use, but do not require the active participation of a human operator.

This document describes a gas sampling device. The gas sampling device is capable of housing sensors printed on thin film (e.g., paper) and is operable to expose the sensors printed on the thin film to air for a brief period of time to sample the air for smells. The exposure causes a chemical reaction between the sensors and the sampled air and differs depending on the smells of the sampled air. After exposure, an image of the reacted sensor is captured. The image is analyzed according to image processing techniques to recognize the smells of the sampled air. The gas sampling device is also capable of concurrently sampling air from a surrounding environment along with sampling air from a specimen of interest. By analyzing both samples, the smells of the specimen of interest can be distinguished from those of the surrounding environment. Once the smells are ascertained, a profile of chemical groups in gases of the sampled air is output.

Systems, devices and methods including a handheld sensing device comprising: a sensor configured to measure ambient methane, ethane, propane, butane, and/or pentane concentrations; and a handle, where the sensor is disposed on a first end of the handle; control electronics comprising: a processor having addressable memory, the processor in communication with the sensor, where the processor is configured to: receive the measured ambient gas concentrations; and detect elevated ambient gas concentrations that may be attributed to a natural gas emissions source based on the measured ambient gas concentrations.

A process for calculating a carbon emission reduction includes calculating a carbon dioxide equivalent (CO2e) output associated with using a measured quantity of wellhead gas in generators to produce electricity, determining a carbon dioxide equivalent (CO2e) emission associated with flaring the measured quantity of wellhead gas, and calculating a carbon emission reduction as the difference between the determined CO2e emission and the calculated CO2e output. According to an embodiment, the process further includes determining, by a user, an emissions output based on the calculated carbon emission reduction, the emissions output defining an environmental footprint; and determining, by the user, based on the emissions output whether to use the quantity of wellhead gas as the fuel supply to the generator to produce electricity instead of flaring the same quantity of wellhead gas to the atmosphere.

The technology relates to a transportable gas detector unit configured to operate in a detection mode and a test mode for gas sensor testing and calibration. The transportable gas detector is configured with one or more gas sources mounted on the gas detector unit by mounting points to rigidly hold the gas sources in place when the gas detector unit is moved, enabling remote testing/calibration of gas sensors.

A sensor device may include an electrochemical (EC) gas sensor, a metal-oxide semiconductor (MOS) gas sensor, and control circuitry. The control circuitry may provide EC excitation signals to the EC gas sensor, provide at least two MOS excitation signals to the MOS gas sensor, and detect at least two gases. The control circuitry may detect the gases based on receiving EC response signals from the at least one EC gas sensor based on providing the EC excitation signals, receiving MOS response signals from the MOS gas sensor based on providing the MOS excitation signals, determining a multivariate response pattern based on the EC response signals and the MOS response signals, and differentiating between the at least two gases in contact with the sensor device based on the multivariate response pattern.

Evaluation method of exhaust gas simulation capable of simply and appropriately evaluating the validity of the simulation is provided. In analysis data, an analysis amplitude curve is calculated in which a change in the concentration of virtual exhaust gas at the observation point in the converged pipe portion is plotted, and an analysis time interval between the zero point and the reference point in the analysis amplitude curve is plotted. In actual measurement data, an actual amplitude curve is provided in which a change in the specific gas component at an observation point is measured with time, and an actual time interval is provided in which a time interval from a zero point to a reference point in the actual amplitude curve. The analysis data is determined as valid when a difference between the analysis time interval and the actual time interval is within a predetermined correlation range.

A gas sensor is used for determining a concentration of a predetermined gas in a measurement volume. The gas sensor comprises a light source and a detector arranged to receive light that has passed through the measurement volume. During a first measurement period, the detector is used to make a first measurement of an amount of light received in at least one wavelength band which is absorbed by the gas. The first measurement is compared to a predetermined threshold value. If the threshold is crossed, during a second measurement period the detector is used to make a second measurement of an amount of light received in at least one wavelength band which is absorbed by the gas. The concentration of said gas in said measurement volume is calculated using the first and/or second measurement.

A device and method for field in-situ multi-plot synchronous monitoring of greenhouse gas fluxes, wherein a transparent plexiglass chamber is fixed to a stainless steel base, and the plexiglass chamber is provided with two movable square plexiglass plates; the square plexiglass plates are connected to the plexiglass chamber through push rods, and the push rods are configured to close or open the square plexiglass plates, so to seal or communicate the plexiglass chamber; sampling tubes are arranged on side walls of the plexiglass chamber; one ends of sampling pumps are connected to the sampling tubes; one end of each sucking pump is connected to each sampling tube through a solenoid valve, and the other end of each sucking pump is connected to a gas analyzer through a switch; and the gas analyzer is connected to a computer host, configured to measure concentration data of gas in the sampling tubes.

In one illustrative configuration, a method of locating an emission source of a target substance at a site is disclosed. The method may include obtaining predicted substance concentrations of the target substance from a prediction model to generate a mapping of a weighted mean of the plurality of the predicted substance concentrations grouped in a predetermined number of feature groups. A simulated plume model is generated for each emission source present at the site to calculate representative circular normal distributions for each air quality monitor. By performing an analysis of the plurality of representative circular normal distributions in relation to the mapping, a target emission source is identified.