CN102116734A - Method and system for forecasting pollutant source - Google Patents
Method and system for forecasting pollutant source Download PDFInfo
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- CN102116734A CN102116734A CN2009102158216A CN200910215821A CN102116734A CN 102116734 A CN102116734 A CN 102116734A CN 2009102158216 A CN2009102158216 A CN 2009102158216A CN 200910215821 A CN200910215821 A CN 200910215821A CN 102116734 A CN102116734 A CN 102116734A
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Abstract
The invention relates to a method and a system for forecasting a pollutant source. The method comprises the following steps: establishing a first established number of pollution-wind direction data according to pollution concentration data measured by a first pollution monitoring instrument arranged in a first position and first wind direction data measured by a weather station; establishing a second established number of pollution-wind direction data according to pollution concentration data measured by a second pollution monitoring instrument arranged in a second position and second wind direction data measured by the weather station; and constructing pollution probability regional distribution information according to the first established number of pollution-wind direction data and the second established number of pollution-wind direction data; and judging the pollutant source according to the pollution probability regional distribution information.
Description
Technical field
The present invention relates to a kind of pollutant source Forecasting Methodology and system.
Background technology
Traditional definite pollution source can utilize the mode of progressively searching directly to seek the highest position of pollutant levels, perhaps utilize the mode of setting up concentration distribution of pollutants to infer the highest position of pollution concentration.This dual mode all needs to build at the scene puts a large amount of monitoring equipments, or repeatedly the traverse measurement position just can reach the effect of searching pollution source.For instance, the mode of setting up concentration distribution of pollutants generally comprises dual mode, and a kind of point of low dimension that is to use is detected sampling analysis or the monitoring in real time of carrying out single point concentration.Another kind is the line detecting of middle dimension, the concentration information that for example open optical path telemetry is obtained.Concentration detecting as for whole plane then is that the result that detecting of foundation point or line are detected carries out interior interpolation value mode or the acquisition of computerized tomography mode indirect calculation.Therefore on the practice, need instrument detecting pollution concentration be set, calculate the pollution concentration distribution situation in zone then according to the measured pollution concentration of these instruments, determine pollution source by the pollution concentration distribution situation again in many fixed points.
In order to find out pollution source more efficiently, be necessary to provide the still less method and system in pollution monitoring instrument prediction pollutant source of a kind of use.
Summary of the invention
The invention provides a kind of pollutant source Forecasting Methodology, comprising: according to one first wind direction data of measured pollution concentration data of a first pollution monitoring instrument of being located at a primary importance and weather station set up one first both the pollution of determined number to the wind direction data; According to one second wind direction data of measured pollution concentration data of the one second pollution monitoring instrument of being located at a second place and weather station set up one second both the pollution of determined number to the wind direction data; According at least this first both determined number pollution to the wind direction data and at least this second both the pollution of determined number to wind direction data construct one pollution probability areal distribution information; And according to this pollution probability areal distribution information judgement pollutant source.
The present invention also provides a kind of pollutant source prognoses system, comprising: a first pollution monitoring instrument, collect a first pollution concentration data in a primary importance; One second pollution monitoring instrument is collected one second pollution concentration data in a second place; One main control computer, according to this first pollution concentration data and from one first wind direction data of weather station set up one first both determined number pollution to the wind direction data, according to these second pollution concentration data and from one second wind direction data of weather station set up one second both determined number pollution to the wind direction data, according at least this first both determined number pollution to the wind direction data and at least this second both the pollution of determined number wind direction data construct one pollution probability areal distribution information and is judged pollutant source according to this pollution probability areal distribution information.
Pollutant of the present invention source forecast method utilizes two groups of pollution monitoring instruments to combine weather data analyzes pollution probability by numerical operation distribution situation with system.Therefore do not increasing under the extra cost, using existing monitoring technology and a spot of monitoring equipment to reach the purpose of determining pollution source.
Description of drawings
Fig. 1 is the process flow diagram according to inventive embodiments explanation pollutant source forecast method;
Fig. 2 A is the synoptic diagram of the concentration-wind rose map of inventive embodiments;
Fig. 2 B is the synoptic diagram of three cloud rule interpolation value methods (cubic splineinterpolation) of explanation inventive embodiments;
Fig. 2 C is the synoptic diagram of the construction pollution probability areal distribution information of explanation inventive embodiments;
Fig. 2 D is the synoptic diagram of explanation according to the embodiment of pollution probability areal distribution information prediction pollution source; And
Fig. 3 is for showing the Organization Chart of the system that predict in invention pollutant source.
[primary clustering symbol description]
102,104,106,108,110～process step;
The system of 300～pollutant source prediction;
310～first pollution monitoring instrument;
320～the second pollution monitoring instruments;
330～weather station;
340～main control computer;
342～arithmetic element;
344～the first computing units;
346～the second computing units.
Embodiment
For above-mentioned purpose of the present invention, feature and advantage can be become apparent, preferred embodiment cited below particularly, and cooperate appended graphicly, be described in detail below:
Fig. 1 is the process flow diagram according to inventive embodiments explanation pollutant source forecast method.In step 102 and 104, set up the first both both pollution concentration probability of the specific direction of determined number of determined number and second according to the wind direction data of the pollution concentration data of pollution monitoring instrument and weather station respectively.In an embodiment of the present invention, a position pollution monitoring instrument is set and measures pollution concentration, cooperate the wind direction data of weather station, set up first pollution concentration-wind rose map, shown in Fig. 2 A.The another location is provided with a pollution monitoring instrument equally and measures pollution concentration again, cooperates the wind direction data of weather station, sets up second pollution concentration-wind rose map.In the present embodiment, both determined number of regular wind direction are 16, and pollution concentration-wind rose map is represented the synoptic diagram of the probability of relative 16 the regular direction produced pollution concentration in position.For instance, E direction in Fig. 2 A, the length of strip is represented the probability size, for the E direction is 3 units size, and the height of the color depth of strip and width means pollution concentration, with the E direction, this strip represents that pollution concentration is in the 8-16ppb scope, therefore the E direction is 3 units in the probability of pollution concentration 8-16ppb, and other pollution concentration probability is then almost nil.Similarly, in the NW direction, just present 4 kinds of pollution concentration probability, add up and be approximately 4 units, therefore, the pollution concentration probability of NW direction is 4 units.In the present embodiment, the data that pollution concentration-wind rose map presented are the important computations foundations when being used for construction pollution probability areal distribution information backward.
In step 106, respectively according to first both determined number and second both the pollution concentration probability of the specific direction of determined number implement three clouds rule interpolation value methods pollution concentration probability in the hope of more specific directions.Because regular wind direction data only have 16 directions.In order to obtain more multidirectional pollution concentration probability, embodiments of the invention use cloud rule interpolation value method three times, shown in Fig. 2 B, obtain the pollution concentration probability of 360 degree directions according to the pollution concentration probability of 16 regular directions of script.Certainly the user can calculate the pollution concentration probability of some specific direction according to demand.Therefore can obtain at least the first both both pollution concentration probability of the specific direction of determined number of determined number or at least the second respectively.
In step 108, calculate both pollution probability of allocation, a pollution probability areal distribution of construction information then according to the pollution concentration probability of a specific direction of the pollution concentration probability of a specific direction of primary importance and the second place.With reference to figure 2C, for instance, two pollution concentration-wind rose maps are arranged, have the pollution concentration probability of specific direction of pollution concentration probability and at least the second prearranged number of the specific direction of at least the first prearranged number respectively.For example the pollution concentration on the left side-wind rose map Q0-Q15 (Q7-Q15 does not indicate because of simplification) represents the pollution concentration probability (the pollution concentration probability that comprises each concentration range) of this direction, in like manner P0-P15 be another the group pollution concentration-wind rose map in the counterparty to the pollution concentration probability.In another embodiment, two groups of pollution concentration-wind rose maps have the pollution concentration probability that surpasses 16 regular directions.In the present embodiment, if need the pollution probability of A0 position, then with the product numerical value of the pollution concentration probability of Q3 and P14 pollution probability as the A0 position.In like manner, the concentration probability of A1 position then is the product numerical value of Q4 and P13.So just can a pollution probability areal distribution of construction information.In another embodiment, the information of the more complete and intensive pollution probability areal distribution of construction according to need.Accept the preceding paragraph and describe, the user can calculate the pollution concentration probability of more specific directions according to demand.With reference to figure 2C, when having the pollution concentration probability of Qx and Px direction.Then can calculate the pollution probability (Qx multiply by Px) of position A999, similarly, the pollution probability of position B999 also can be tried to achieve.In addition, in one embodiment,, when the concentration probability that needs only specific direction is zero, then can skip over the pollution probability that calculates its correspondence position for calculating all both concentration probability of allocation efficiently.
At last, in step 110, find out pollution source according to pollution probability areal distribution information.When construction goes out concentration probability distribution area information, can set up a circle of equal altitudes and indicate shades of colour according to these information to represent various pollution probabilities, then can know and determine the high position of pollution probability, shown in Fig. 2 D.
Fig. 3 is for showing the Organization Chart of the system that predict in pollutant of the present invention source.The system 300 of pollutant source prediction comprises first pollution monitoring instrument 310, the second pollution monitoring instrument 320, weather station 330 and main control computer 340.
First pollution monitoring instrument 310 is arranged at primary importance and collects the first pollution concentration data, and 320 in the second pollution monitoring instrument is arranged at the second place and collects the second pollution concentration data.Main control computer 340 can according to the first pollution concentration data and from the first wind direction data of weather station 330 set up first both the pollution of determined number that is be the pollution concentration probability of 16 regular directions on the primary importance to the wind direction data.Main control computer 340 also can according to the second pollution concentration data and from the second wind direction data of weather station 330 set up second both the pollution of determined number that is be the pollution concentration probability of 16 regular directions on the second place to the wind direction data.The pollution monitoring instrument may be Fu Liye conversion infrared spectrometer (Fourier transform infraredspectroscopy, FTIR), photoionization detector (Photo ionization detector, PID), the gas chromatography mass spectrometer (Gas chromatography-mass spectrometry, GC/MS) or other can long-time continuous monitoring pollutant levels device.
In addition, main control computer 340 can according at least the first both the pollution of determined number to the pollution of wind direction data and at least the second both determined number to wind direction data construct one pollution probability areal distribution information, and judge the pollutant source according to pollution probability areal distribution information.In the present embodiment, main control computer 340 comprises an arithmetic element 342 in addition, in order to calculate in the pollution probability areal distribution information both pollution probabilities of allocation.For instance, arithmetic element 342 according to 16 pollutions on first position in the wind direction data corresponding to a both probability numerical value of the direction of allocation multiply by on the another location 16 pollutions in the wind direction data corresponding to this both a probability numerical value of the direction of allocation obtain in the pollution probability areal distribution information this both pollution probability of allocation.Comprehensive all both the pollution probability of allocation then can be in the hope of pollution probability areal distribution information.On the practice, pollution probability areal distribution information can be created as the circle of equal altitudes with color showing probability height, the user can confirm pollution source according to circle of equal altitudes easily.
In addition, main control computer 340 also comprises one first computing unit and one second computing unit, respectively according to 16 pollutions on the primary importance to 16 pollutions on the wind direction data and the second place to the wind direction data implement three clouds rule interpolation value methods in the hope of the pollution outside first pollution monitoring instrument, 16 regular directions of the second pollution monitoring instrument and weather station to the wind direction data.In one embodiment, many more pollutions can be set up the pollution probability of more both allocations to the wind direction data, produce more substantial pollution probability areal distribution information to help the more accurate circle of equal altitudes of construction.
At last, idea and specific embodiment that those skilled in the art can use the present invention to disclose easily are the basis, and change and design can be implemented other structure of same purpose, but do not break away from the scope that claims of the present invention are protected.
Claims (15)
1. pollutant source Forecasting Methodology comprises:
According to one first wind direction data of measured pollution concentration data of a first pollution monitoring instrument of being located at a primary importance and weather station set up one first both the pollution of determined number to the wind direction data;
According to one second wind direction data of measured pollution concentration data of the one second pollution monitoring instrument of being located at a second place and weather station set up one second both the pollution of determined number to the wind direction data;
According at least this first both determined number pollution to the wind direction data and at least this second both the pollution of determined number to wind direction data construct one pollution probability areal distribution information; And
Judge the pollutant source according to this pollution probability areal distribution information.
2. pollutant according to claim 1 source Forecasting Methodology, one of them pollute to the wind direction data representation with respect to this first or the pollution concentration probability of a specific direction of the second place.
3. pollutant according to claim 1 source Forecasting Methodology, wherein this pollution probability areal distribution information of this construction comprises:
According to this primary importance corresponding to one both allocation direction this first both determined number pollution to one of the wind direction data with this second place corresponding to this both allocation direction this second both the pollution of determined number one of wind direction data is tried to achieve in this pollution probability areal distribution information this both pollution probability of allocation.
4. pollutant according to claim 3 source Forecasting Methodology, wherein this both the allocation pollution probability be the products of these two pollutions to the wind direction data.
5. pollutant according to claim 4 source Forecasting Methodology, wherein these two pollutions all are not equal to zero to the wind direction data.
6. pollutant according to claim 2 source Forecasting Methodology, wherein also comprise according to this first both determined number pollution to the wind direction data implement three clouds rule interpolation value methods in the hope of the pollution outside 16 regular directions of this first pollution monitoring instrument and weather station to the wind direction data.
7. pollutant according to claim 2 source Forecasting Methodology, wherein also comprise according to this second both determined number pollution to the wind direction data implement three clouds rule interpolation value methods in the hope of the pollution outside 16 regular directions of this second pollution monitoring instrument and weather station to the wind direction data.
8. pollutant source prognoses system comprises:
One first pollution monitoring instrument is collected a first pollution concentration data in a primary importance;
One second pollution monitoring instrument is collected one second pollution concentration data in a second place;
One main control computer, according to this first pollution concentration data and from one first wind direction data of weather station set up one first both determined number pollution to the wind direction data, according to these second pollution concentration data and from one second wind direction data of weather station set up one second both determined number pollution to the wind direction data, according at least this first both determined number pollution to the wind direction data and at least this second both the pollution of determined number wind direction data construct one pollution probability areal distribution information and is judged pollutant source according to this pollution probability areal distribution information.
9. pollutant according to claim 8 source prognoses system, one of them pollute to the wind direction data representation with respect to this first or the pollution concentration probability of a specific direction of the second place.
10. pollutant according to claim 8 source prognoses system, wherein this main control computer also comprises an arithmetic element, be used for according to this first both determined number pollution to the wind direction data corresponding to one both one of direction of allocation with this second both determined number pollution in the wind direction data corresponding to this both of direction of allocation try to achieve this both pollution probability of allocation in this pollution probability areal distribution information.
11. pollutant according to claim 10 source prognoses system, wherein this both the pollution probability of allocation be the products of these two pollutions to the wind direction data.
12. pollutant according to claim 11 source prognoses system, wherein these two pollutions all are not equal to zero to the wind direction data.
13. pollutant according to claim 9 source prognoses system, wherein this main control computer also comprises one first computing unit, be used for according to this first both determined number pollution to the wind direction data implement three clouds rule interpolation value methods in the hope of the pollution outside 16 regular directions of this first pollution monitoring instrument and weather station to the wind direction data.
14. pollutant according to claim 9 source prognoses system, wherein this main control computer also comprises one second computing unit, be used for according to this second both determined number pollution to the wind direction data implement three clouds rule interpolation value methods in the hope of the pollution outside 16 regular directions of this second pollution monitoring instrument and weather station to the wind direction data.
15. pollutant according to claim 8 source prognoses system, wherein the pollution monitoring instrument is the conversion of Fu Li leaf infrared spectrometer, photoionization detector or gas chromatography mass spectrometer.
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| CN200910215821A CN102116734B (en) | 2009-12-30 | 2009-12-30 | Method and system for forecasting pollutant source |
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| CN107589222A (en) * | 2017-09-15 | 2018-01-16 | 深圳市卡普瑞环境科技有限公司 | A kind of pollutant integrated monitoring and processing system |
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| CN107589223A (en) * | 2017-09-15 | 2018-01-16 | 深圳市卡普瑞环境科技有限公司 | The method, apparatus and storage medium of a kind of positioning |
| CN107631729A (en) * | 2017-09-15 | 2018-01-26 | 深圳市卡普瑞环境科技有限公司 | A kind of emission source information calibration method and terminal device |
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| CN109115949B (en) * | 2018-07-26 | 2020-12-11 | 郑州轻工业学院 | Big data based pollution tracing method and computer readable medium |
| CN109115949A (en) * | 2018-07-26 | 2019-01-01 | 郑州轻工业学院 | Pollution source tracing method and computer-readable medium based on big data |
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| CN113759441A (en) * | 2021-09-08 | 2021-12-07 | 长春嘉诚信息技术股份有限公司 | Air quality tracing method based on wind-rose diagram and pollution source monitoring |
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