# US 10,372,846 B2 · Retrieving pollution emission source using CFD and satellite data > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 10,372,846 B2 - Document ID: US10372846B2 - Status: Granted - Kind: B2 - Application number: 14/938,963 - Filed: 2015-11-12 - Published: 2017-05-18 - Granted: 2019-08-06 - Earliest claimed: 2015-11-12 - Assignees: International Business Machines Corporation - Applicants: International Business Machines Corporation - Inventors: Xin Xin Bai; Jin Dong; Hui Bj Du; Xiao Guang Rui; Hai Feng Hf Wang; Bao Guo Bg Xie; Wen Jun Yin; Meng Mm Zhang - Web page: https://patentgrep.com/patent/US10372846B2 ## CPC - G06F 30/28: using fluid dynamics, e.g. using Navier-Stokes equations or computational fluid dynamics [CFD] - B01D 53/30: Controlling by gas-analysis apparatus (regulating non electrical variables in general G05D) - B01D 53/56: Nitrogen oxides (B01D53/60 takes precedence) - G01W 1/10: Devices for predicting weather conditions (computers per se G06; display devices G09) - G06F 30/20: Design optimisation, verification or simulation (optimisation, verification or simulation of circuit designs G06F30/30) - G06F 30/23: using finite element methods [FEM] or finite difference methods [FDM] - H04W 4/021: Services related to particular areas, e.g. point of interest [POI] services, venue services or geofences - G06F: ELECTRIC DIGITAL DATA PROCESSING (computer systems based on specific computational models G06N) - B01D: SEPARATION (separating solids from solids by wet methods B03B, B03D; by pneumatic jigs or tables B03B; by other dry methods B07; magnetic or electrostatic separation of solid materials from solid materials or fluids, separation by high-voltage electric fields B03C; centrifuges, vortex apparatus B04; presses per se for squeezing-out liquid from liquid-containing material B30B9/02; treatment of water C02F, e.g. softening by ion-exchange C02F1/42; {arrangements of air intake cleaners in gas turbine plants F02C7/05} ; arrangements or mounting of filters in air-conditioning, air-humidification or ventilation F24F13/28) - G01W: METEOROLOGY (radar, sonar, lidar or analogous systems, designed for meteorological use G01S13/95, G01S15/88, G01S17/95) - H04W: WIRELESS COMMUNICATION NETWORKS (broadcast communication H04H; communication systems using wireless links for non-selective communication, e.g. wireless extensions H04M1/72) ## Abstract A method for modeling air pollution includes receiving a weather model for a particular geographic region. Satellite-observed pollution observation data over the geographic region is received. A physical dispersion model for pollution over the geographic region is generated using the received weather model. The received satellite-observed pollution observation data is interpolated to the generated physical model. The interpolated satellite-observed pollution observation data and the generated physical model are combined using weighted coefficients for both the interpolated satellite-observed pollution observation data and the generated physical model. The weighted coefficients are calculated in accordance with a relative error in both the physical dispersion model and the satellite-observed pollution observation data. ## Claims ### Claim 1 A method for modeling air pollution, comprising: receiving a weather model for a particular geographic region; receiving satellite-observed pollution observation data over the geographic region; generating a physical dispersion model for pollution over the geographic region using the received weather model; interpolating the received satellite-observed pollution observation data to the generated physical model; and combining the interpolated satellite-observed pollution observation data and the generated physical model using weighted coefficients for both the interpolated satellite-observed pollution observation data and the generated physical model to produce a hybrid weather model, wherein the weighted coefficients are calculated in accordance with a relative error in both the physical dispersion model and the satellite-observed pollution observation data, and wherein the hybrid weather model has a greater resolution than the received satellite-observed pollution observation data alone. ### Claim 2 (depends on 1) The method of claim 1, wherein the satellite-observed pollution observation data has a courser resolution than the physical dispersion model. ### Claim 3 (depends on 1) The method of claim 1, wherein the generated physical dispersion model is a computed fluid dynamics (CFD) model. ### Claim 4 (depends on 1) The method of claim 1, wherein the physical dispersion model is generated from the received weather model using one or more observed emissions levels taken at one or more observation stations. ### Claim 5 (depends on 1) The method of claim 1, wherein the physical dispersion model is generated from the received weather model using one or more observed emissions levels taken from the satellite-observed pollution observation data. ### Claim 6 (depends on 1) The method of claim 1, wherein the physical dispersion model is optimized by minimizing a difference between one or more observed emissions levels taken at one or more observation stations and calculated emissions levels at locations of the one or more observation stations that are calculated from the physical dispersion model. ### Claim 7 (depends on 1) The method of claim 1, wherein the physical dispersion model is optimized by minimizing a difference between one or more observed emissions levels taken from the satellite-observed pollution observation data at one or more locations and calculated emissions levels at the one or more locations that are calculated from the physical dispersion model. ### Claim 8 (depends on 1) The method of claim 1, wherein the relative error in both the physical dispersion model and the satellite-observed pollution observation data is calculate based on a calculated inversing model error of the physical dispersion model and a predetermined error of the satellite-observed pollution observation data. ### Claim 9 (depends on 1) The method of claim 1, further comprising displaying the combined interpolated satellite-observed pollution observation data and the generated physical dispersion model as a visual representation of air pollution levels over the particular geographic region. ### Claim 10 A method for modeling air pollution, comprising: receiving a weather model for a particular geographic region; receiving satellite-observed pollution observation data over the geographic region; generating a physical dispersion model for pollution over the geographic region using the received weather model; interpolating the received satellite-observed pollution observation data to the generated physical model to produce a hybrid weather model; and optimizing the generated physical dispersion model by minimizing a difference between one or more observed emissions levels taken from the satellite-observed pollution observation data at one or more locations and calculated emissions levels at the one or more locations that are calculated from the physical dispersion model, wherein the hybrid weather model has a greater resolution than the received satellite-observed pollution observation data alone. ### Claim 11 (depends on 10) The method of claim 10, wherein the satellite-observed pollution observation data has a courser resolution than the physical dispersion model. ### Claim 12 (depends on 10) The method of claim 10, wherein the generated physical dispersion model is a computed fluid dynamics (CFD) model. ### Claim 13 (depends on 10) The method of claim 10, further comprising displaying the optimized physical dispersion model as a visual representation of air pollution levels over the particular geographic region. ### Claim 14 A computer system comprising: a processor; and a non-transitory, tangible, program storage medium, readable by the computer system, embodying a program of instructions executable by the processor to perform method steps for modeling air pollution, the method comprising: receiving a weather model for a particular geographic region; receiving satellite-observed pollution observation data over the geographic region; generating a physical dispersion model for pollution over the geographic region using the received weather model; interpolating the received satellite-observed pollution observation data to the generated physical model; and combining the interpolated satellite-observed pollution observation data and the generated physical model using weighted coefficients for both the interpolated satellite-observed pollution observation data and the generated physical model to produce a hybrid weather model, wherein the weighted coefficients are calculated in accordance with a relative error in both the physical dispersion model and the satellite-observed pollution observation data, and wherein the hybrid weather model has a greater resolution than the received satellite-observed pollution observation data alone. ### Claim 15 (depends on 14) The computer system of claim 14, wherein the satellite-observed pollution observation data has a courser resolution than the physical dispersion model. ### Claim 16 (depends on 14) The computer system of claim 14, wherein the generated physical dispersion model is a computed fluid dynamics (CFD) model. ### Claim 17 (depends on 14) The computer system of claim 14, wherein the physical dispersion model is generated from the received weather model using one or more observed emissions levels taken at one or more observation stations. ### Claim 18 (depends on 14) The computer system of claim 14, wherein the physical dispersion model is generated from the received weather model using one or more observed emissions levels taken from the satellite-observed pollution observation data. ### Claim 19 (depends on 14) The computer system of claim 14, wherein the physical dispersion model is optimized by minimizing a difference between one or more observed emissions levels taken at one or more observation stations and calculated emissions levels at locations of the one or more observation stations that are calculated from the physical dispersion model. ### Claim 20 (depends on 14) The computer system of claim 14, further comprising displaying the combined interpolated satellite-observed pollution observation data and the generated physical dispersion model as a visual representation of air pollution levels over the particular geographic region.