3-D air pollution transmission path identification

Patent metadata

Field	Value
Publication number	US-10648805-B2
Application number	US-201715807332-A
Country	US
Kind code	B2
Filing date	Nov 8, 2017
Priority date	Apr 28, 2017
Publication date	May 12, 2020
Grant date	May 12, 2020

Abstract

A method for tracking and identifying a polluted air mass's transmission trajectory in real 3-D space. In one aspect, a polluted air mass's transmission path identification is based on a monitoring of PM2.5 concentration in cubic volumes of an air mass. The method computes a transmission path of polluted air that considers wind-pressure conversion, the displacement estimation with mass concentration, and planetary boundary layer (PBLP height constraint) for 3-D cubic grids. The resultant determination of a polluted air mass's transmission trajectory in real 3-D space generates more practical and reliable results for intensive knowledge of the transport pathways and potential pollution sources in real 3-D space.

First claim

What is claimed is:

1. A computer-implemented method for determining a main transmission path of a polluted air mass comprising:
determining, by a processor, a current 3-D contour of pollution at an initial location and an initial time instant, said current 3-D contour having one or more cubic volumes of polluted air based on measured particulate concentration levels of an air mass at said initial location;
computing, by the processor, based on a received wind field condition data, an estimated 3-D contour of pollution for a next time instant and at a next destination location, said next destination determined based on estimated transport destinations of one or more cubic volumes of polluted air of said current 3-D contour from the initial location due to a wind field condition;
determining, by the processor, a next current 3-D contour of pollution at the next destination location and at said next time instant, said next current 3-D contour having one or more cubic volumes of polluted air based on new measured particulate concentration levels of an air mass at said next destination location; and
determining, by the processor, a transport path of said polluted air mass from the initial location to the next destination location at said next time instant, said determining based on a degree of transport weight overlap between cubic volumes of polluted air corresponding to the estimated 3-D contour of pollution at said next destination location and cubic volumes of polluted air corresponding to said determined current 3-D contour at said next time instant; and
iterating, using the processor, at each of next successive time instances and locations, the computing of an estimated 3-D contour of pollution to determine a transport path of said polluted air mass, subject to said wind field condition, at each successive next location;
connecting, using the processor, each transport path of said polluted air mass determined at each iteration to determine a main transmission path of said polluted air mass from said initial location to a final location; and
dynamically controlling a source of pollution configured to provide said concentration levels of particulates observed in said air mass at said initial location, wherein said dynamically controlling comprises:
obtaining a past main transmission path of a polluted air mass between initial and final locations based on historic wind and meteorological condition data;
comparing a current input real-time wind condition data against said similar historic wind condition data; and
controlling an increase or decrease an amount of particulates generated at said pollution source based on said comparing.

2. The computer-implemented method of claim 1 , wherein the iterating the computing of an estimated 3-D contour of pollution to determine a transport path further comprises:
iterating, by the processor, at each time instant of successive time instances:
the computing of an estimated 3-D contour of pollution for a next time instant and at a next destination location, wherein an initial location of a current iteration corresponds to a next destination location of an immediate prior iteration;
the determining, by the processor, of a next current 3-D contour of pollution at the next destination location based on measured particulates in said air mass at said next destination location; and
the determining of a transport path of said polluted air mass between the initial location to the next current destination location for the current iteration.

3. The computer-implemented method of claim 1 , wherein said determining, by the processor, a current 3-D contour of pollution comprises:
receiving, at the processor, input data comprising locally observed concentration levels of particulates at different layers of an air mass and at different locations within each said layer at a time instant;
based on said input data, identifying by said processor, the 3-D contour of pollution in said air mass at an initial location, said contour having one or more cubic volumes of pollution based on observed concentration levels of particulates exceeding a threshold level at said time instant; and
determining a mass centroid corresponding to the 3-D contour of pollution.

4. The computer-implemented method according to claim 1 , further comprising:
continually recording, using the processor, various meteorological and wind condition data over time in the memory;
generating, using the processor, a model to correlate various recorded historical wind field and meteorological conditions data that resulted in displacement of masses of polluted air along connected transport paths forming a main transmission path between said initial and final locations; and
running, using the processor, said model to estimate a transport of a polluted air mass currently at an initial location.

5. The computer-implemented method of claim 2 , wherein said iterating further comprises:
determining, by said processor, whether concentration levels of particulates at an air mass at said next current destination location drops below a pre-set threshold concentration of particulates; and
determining, by said processor, a final transport destination as said next destination location when said concentration levels at said next destination location are determined below the pre-set threshold concentration of particulates.

6. The computer-implemented method according to claim 2 , wherein said computing, by the processor, based on received wind field condition data, estimated transport destinations of one or more cubic volumes of polluted air for the next time instant and at the next destination location comprises:
estimating, by said processor, a displacement of particles within a cubic volume of polluted air according to a Lagrangian diffusion method;
computing, by said processor, a dynamic pressure relating to said wind field condition according to a Bernoulli equation, wherein a displacement of particulates within a cubic volume of air is estimated based on an initial velocity and an accelerated velocity by said dynamic pressure; and
constraining a vertical displacement of cubic volumes of particulates according to a local planetary boundary layer height.

7. The computer-implemented method according to claim 3 , further comprising:
based on said received input data, identifying by said processor, additional 3-D contours of pollution at respective additional initial locations, each said additional 3-D contour having one or more cubic volumes of pollution based on observed concentration levels of particulates exceeding a threshold level at said time instant at each said additional initial locations; and
for each additional 3-D contour of pollution, based on said received wind field condition data, computing, by said processor, an estimated transport destination of said one or more cubic volumes of polluted air at said next time instant in each respective said additional 3-D contour; and
for each additional 3-D contour of pollution:
computing, by the processor, a corresponding estimated 3-D contour of pollution at said subsequent time instant, each respective said corresponding estimated 3-D contour based on estimated transport destinations of said one or more cubic volumes of polluted air within each; and
determining a degree of transport weight overlap between cubic volumes of polluted air corresponding to the estimated 3-D contour of pollution and cubic volumes of polluted air corresponding to the current 3-D contour of pollution at said current destination location and said next time instant; and

selecting, by the processor, the transport path of a polluted air mass from one of said additional initial locations to the current destination location based having a greatest degree

Assignees

• IBM

Inventors

• Bai Xin Xin
• Lv xin jie
• Rui Xiao Guang
• Xia Xi
• Yao Jian
• Yin Wen Jun
• Zhao Wei
• Zhao yu xin

Classifications

• G01W1/02

  Instruments for indicating weather conditions by measuring two or more variables, e.g. humidity, pressure, temperature, cloud cover or wind speed (G01W1/10 takes precedence) · CPC title

• G16C99/00

  Subject matter not provided for in other groups of this subclass · CPC title

• G01N33/0075

  for multiple spatially distributed sensors, e.g. for environmental monitoring · CPC title

• G01B21/16

  for measuring distance of clearance between spaced objects · CPC title

• G01N33/00 Primary

  Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00 · CPC title