Emissions detection system and methods

1. A total emissions quantification method for quantifying emissions of a target substance at a site, the total emissions quantification method comprising:

providing a first air quality monitor comprising:

a first sensor responsive to the target substance; and

a first location at which the first air quality monitor is located on the site;

measuring a first set of onsite parameters with the first air quality monitor over a period of time to obtain a plurality of individual measurements, the plurality of individual measurements comprising:

a first measured substance concentration of the target substance measured with the first air quality monitor; and

a first set of individual atmospheric readings;

transmitting the first set of onsite parameters to a first server;

procuring a regional atmospheric parameter for the site from a second server;

training a prediction model associated with the first air quality monitor, by:

generating a plurality of first predicted substance concentrations of the target substance corresponding to the first air quality monitor;

obtaining over a predefined period at a predefined frequency, the plurality of first predicted substance concentrations and the plurality of individual measurements of the first set of onsite parameters;

generating a mapping of a weighted mean of the plurality of first predicted substance concentrations grouped in each wind-direction bucket of a predetermined number of wind-direction buckets, wherein the predetermined number of wind-direction buckets together are representative of wind directions in a full circle; and

obtaining a location map of a plurality of emission sources at the site, the location map comprising:

a location and an identity associated with each of the plurality of emission sources;

generating a simulated plume model for each emission source of the plurality of emission sources with a wind-direction;

calculating a plurality of representative circular normal distributions for each air quality monitor, using the simulated plume model, by:

setting a plurality of presumed flux values to the simulated plume model;

analyzing the plurality of representative circular normal distributions in relation with the mapping of the weighted mean to identify:

a relevant representative circular normal distribution from the plurality of representative circular normal distributions,

wherein the relevant representative circular normal distribution is indicative of a target emission source from the plurality of emission sources; and

quantifying a total emission of the target substance at the site by aggregating the plurality of emission sources.

2. The total emissions quantification method of claim 1 , wherein the first set of individual atmospheric readings comprises at least one of atmospheric reading selected from:

a barometric pressure,

an air temperature, and

a humidity level.

3. The total emissions quantification method of claim 1 , wherein generating the mapping further comprises:

comparing a plurality of first measured substance concentrations with the plurality of first predicted substance concentrations of the target substance to create at least one adjustment factor;

obtaining from the prediction model, a wind-direction contribution value representative of a contribution of a wind-direction in each of the plurality of first predicted substance concentrations as predicted by the prediction model;

adjusting a plurality of wind-direction contribution values corresponding to the plurality of first predicted substance concentrations, using the at least one adjustment factor to obtain a plurality of adjusted wind-direction contribution values;

grouping the plurality of adjusted wind-direction contribution values into the predetermined number of wind-direction buckets;

determining, for each of the predetermined number of wind-direction buckets, a weighted mean of the plurality of first predicted substance concentrations grouped in each wind-direction bucket of a predetermined number of wind-direction buckets; and

generating the mapping of the weighted mean of the plurality of first predicted substance concentrations grouped in each group of the predetermined number of wind-direction buckets, for wind directions in a full circle.

4. The total emissions quantification method of claim 3 , wherein the wind-direction contribution value comprises an amount of concentration of the target substance measured in parts per million (ppm) of ambient air.

5. The total emissions quantification method of claim 3 , wherein:

the predetermined number of wind-direction buckets comprises 72 wind-buckets, and

each of the predetermined number of wind-direction buckets is representative of the wind directions in a segment of 5 degrees of the full circle.

6. The total emissions quantification method of claim 3 and further comprising:

for a wind-direction bucket missing wind-direction data, filling-in missing wind-direction data by interpolating missing wind-direction from one or more of the predetermined number of wind-direction buckets.

7. The total emissions quantification method of claim 3 , wherein the mapping is weighted with a recency bias.

8. The total emissions quantification method of claim 3 , wherein each of the plurality of representative circular normal distributions for each air quality monitor is based on:

a distance between an emission source and the first air quality monitor;

an angular distance between the wind directions;

a bearing of the first air quality monitor relative to the emission source; and

an average wind speed and atmospheric stability class for each wind-direction bucket.

9. The total emissions quantification method of claim 5 , wherein the plurality of representative circular normal distributions for each air quality monitor are generated for 1000 simulated plume models and for a plurality of fluxes.

10. The total emissions quantification method of claim 1 , wherein generating the simulated plume model further comprises:

calculating a bearing of each of the plurality of emission sources to each air quality monitor at the site;

retrieving average wind speed and atmospheric stability class from wind-direction statistics for each bearing; and

generating the simulated plume model, with the average wind speed and the atmospheric stability class.

11. The total emissions quantification method of claim 1 ,

wherein the regional atmospheric parameter for the site is a height of planetary boundary layer (hPBL), wherein the hPBL is procured from the second server,

wherein the second server is High Resolution Rapid Refresh (HRRR) maintained by National Oceanic and Atmospheric Administration (NOAA).

12. The total emissions quantification method of claim 1 , wherein the first set of individual atmospheric readings further comprises at least one of atmospheric reading selected from:

a wind-direction; and

a wind speed;

wherein the at least one of the wind-direction and the wind speed are obtained from an anemometer provided on the site.

13. A total emissions quantification system for quantifying emissions of a target substance at a site, the total emissions quantification system comprising:

a first air quality monitor comprising:

a first sensor responsive to the target substance; and

a first location at which the first air quality monitor is located on the site, to:

measure a first set of onsite parameters with the first air quality monitor over a period of time to obtain a plurality of individual measurements, the plurality of individual measurements comprising:

a first measured substance concentration of the target substance measured with the first air quality monitor; and

 a first set of individual atmospheric readings;

wherein the first air quality monitor transmits the first measured substance concentration and the first set of individual atmospheric readings to a first server;

a logic control unit connected to the first server, to:

procure a regional atmospheric parameter for the site from a second server;

train a prediction model associated with the first air quality monitor with:

a plurality of first predicted substance concentrations of the target substance generated corresponding to the first air quality monitor and the plurality of individual measurements of the first set of onsite parameters obtained over a predefined period at a predefined frequency;

generate a mapping of a weighted mean of the plurality of first predicted substance concentrations grouped in each wind-direction bucket of a predetermined number of wind-direction buckets, wherein the predetermined number of wind-direction buckets together are representative of wind directions in a full circle;

obtain a location map of a plurality of emission sources at the site, the location map comprises:

a location and an identity associated with each of the plurality of emission sources;

generate a simulated plume model for each emission source of the plurality of emission sources with a wind-direction;

calculate a plurality of representative circular normal distributions for each air quality monitor, using the simulated plume model with:

a plurality of presumed flux values set to the simulated plume model; and

analyze the plurality of representative circular normal distributions in relation with the mapping to identify:

a relevant representative circular normal distribution from the plurality of representative circular normal distributions,

wherein the relevant representative circular normal distribution is indicative of a target emission source from the plurality of emission sources; and

quantify a total emission of the target substance at the site by aggregating the plurality of emission sources.

14. The total emissions quantification system of claim 13 , wherein the first set of individual atmospheric readings comprises at least one of atmospheric reading selected from:

a barometric pressure,

an air temperature, and

a humidity level.

15. The total emissions quantification system of claim 13 , wherein to generate the mapping, the logic control unit is configured to:

compare a plurality of first measured substance concentrations with the plurality of first predicted substance concentrations of the target substance to create at least one adjustment factor;

obtain from the prediction model, a wind-direction contribution value representative of a contribution of a wind-direction in each of the plurality of first predicted substance concentrations as predicted by the prediction model;

adjust a plurality of wind-direction contribution values corresponding to the plurality of first predicted substance concentrations, using the at least one adjustment factor to obtain a plurality of adjusted wind-direction contribution values;

group the plurality of adjusted wind-direction contribution values into the predetermined number of wind-direction buckets;

determine, for each of the predetermined number of wind-direction buckets, a weighted mean of the plurality of first predicted substance concentrations grouped in each wind-direction bucket of a predetermined number of wind-direction buckets; and

generate the mapping of the weighted mean of the plurality of first predicted substance concentrations grouped in each group of the predetermined number of wind-direction buckets, for wind directions in a full circle.

16. The total emissions quantification system of claim 15 , wherein the wind-direction contribution value comprise an amount of concentration of the target substance measured in parts per million (ppm) of ambient air.

17. The total emissions quantification system of claim 15 ,

wherein the predetermined number of wind-direction buckets comprise 72 wind-buckets,

wherein each of the predetermined number of wind-direction buckets is representative of the wind directions in a segment of 5 degrees of the full circle.

18. The total emissions quantification system of claim 15 ,

for a wind-direction bucket missing wind-direction data, fill-in missing wind-direction data by interpolating missing wind-direction from one or more remaining of the predetermined number of wind-direction buckets.

19. The total emissions quantification system of claim 15 , wherein the mapping is weighted with a recency bias.

20. The total emissions quantification system of claim 15 , wherein each of the plurality of representative circular normal distributions for each air quality monitor is based on:

a distance between an emission source and the first air quality monitor;

an angular distance between the wind directions;

a bearing of the first air quality monitor relative to the emission source; and

an average wind speed and atmospheric stability class for each wind-direction bucket.

21. The total emissions quantification system of claim 15 , wherein the plurality of representative circular normal distributions for each air quality monitor are generated for 1000 simulated plume models and for a plurality of fluxes.

22. The total emissions quantification system of claim 20 , wherein:

to generate the simulated plume model, the logic control unit is configured to:

calculate a bearing of each of the plurality of emission sources to each air quality monitor at the site;

retrieve the average wind speed and atmospheric stability class from wind-direction statistics for each bearing; and

generate the simulated plume model, based on the average wind speed and the atmospheric stability class.

23. The total emissions quantification system of claim 13 ,

wherein the regional atmospheric parameter for the site is a height of planetary boundary layer (hPBL), wherein the hPBL is procured from the second server,

wherein the second server is High Resolution Rapid Refresh (HRRR) maintained by National Oceanic and Atmospheric Administration (NOAA).

24. The total emissions quantification system of claim 13 , wherein the first set of individual atmospheric readings further comprises at least one of atmospheric reading selected from:

a wind-direction; and

a wind speed;

wherein the at least one of the wind-direction and the wind speed are obtained from an anemometer provided on the site.