CN114324231B - Riverway patrol full-spectrum water quality data analysis method - Google Patents
Riverway patrol full-spectrum water quality data analysis method Download PDFInfo
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- CN114324231B CN114324231B CN202111596711.6A CN202111596711A CN114324231B CN 114324231 B CN114324231 B CN 114324231B CN 202111596711 A CN202111596711 A CN 202111596711A CN 114324231 B CN114324231 B CN 114324231B
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- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 title claims abstract description 155
- 238000001228 spectrum Methods 0.000 title claims abstract description 62
- 238000000034 method Methods 0.000 title claims abstract description 42
- 238000007405 data analysis Methods 0.000 title abstract description 5
- 241000195493 Cryptophyta Species 0.000 claims abstract description 31
- 238000002329 infrared spectrum Methods 0.000 claims abstract description 12
- 238000012545 processing Methods 0.000 claims abstract description 11
- 230000003595 spectral effect Effects 0.000 claims abstract description 8
- 238000002211 ultraviolet spectrum Methods 0.000 claims abstract description 4
- 238000001514 detection method Methods 0.000 claims description 67
- 230000005855 radiation Effects 0.000 claims description 12
- 238000009825 accumulation Methods 0.000 claims description 10
- 239000003344 environmental pollutant Substances 0.000 claims description 10
- 231100000719 pollutant Toxicity 0.000 claims description 10
- 238000007689 inspection Methods 0.000 claims description 9
- 238000005070 sampling Methods 0.000 claims description 9
- 238000010183 spectrum analysis Methods 0.000 claims description 9
- 238000002835 absorbance Methods 0.000 claims description 8
- 238000004040 coloring Methods 0.000 claims description 5
- 238000004458 analytical method Methods 0.000 claims description 4
- 238000010276 construction Methods 0.000 claims description 4
- 230000001678 irradiating effect Effects 0.000 claims description 3
- 235000013619 trace mineral Nutrition 0.000 claims description 3
- 239000011573 trace mineral Substances 0.000 claims description 3
- 238000000825 ultraviolet detection Methods 0.000 claims description 3
- 238000004140 cleaning Methods 0.000 claims description 2
- 230000031700 light absorption Effects 0.000 claims description 2
- 238000002372 labelling Methods 0.000 claims 1
- 238000012544 monitoring process Methods 0.000 abstract description 2
- 238000010586 diagram Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000006073 displacement reaction Methods 0.000 description 1
- 238000005067 remediation Methods 0.000 description 1
- 238000012876 topography Methods 0.000 description 1
Abstract
The invention discloses a river course patrol full spectrum water quality data analysis method, which relates to the technical field of water quality monitoring, and comprises the steps of respectively acquiring spectral data of river water samples and river courses through infrared spectrum and ultraviolet spectrum, processing the acquired spectral data to acquire water quality data of different river courses, so as to acquire the occupation ratios of different components in water and the distribution conditions of algae and garbage in the river courses, setting occupation ratio thresholds of the components according to various components, comparing the occupation ratios of the components in the acquired river water samples with corresponding occupation ratio thresholds, and marking the corresponding components and the river courses if the occupation ratios exceed the occupation ratio thresholds; and marking all river courses of which the proportion of the components exceeds a proportion threshold value in all river courses, and finishing tracing the overproof components.
Description
Technical Field
The invention relates to the technical field of water quality monitoring, in particular to a river channel patrol full spectrum water quality data analysis method.
Background
The river water quality detection comprises the steps of sampling, checking and the like, the water taking position and the water taking depth of the river are required during sampling, at present, a sampling bottle with a rope is usually placed into water for sampling, and the sampling bottle is likely to be impacted by water flow to generate displacement in the water due to different water taking environments, so that the detection precision is affected; moreover, the common sampling is that the water is sampled manually to the river side, then the sample is brought to a laboratory for detection, the test process is complex, and the accuracy of water quality detection is easily affected due to various external factors in the transportation process;
the spectrum detection technology is adopted to detect the water quality of the river channel at any time in the cruising process of the river channel, the spectrum detection technology is utilized to better analyze the water quality condition of the river channel, and the source which causes the water quality to be unqualified can be quickly locked when the water quality is unqualified, so that the problem which needs to be solved is solved, and therefore, the method for analyzing the full spectrum water quality data of the river channel is provided.
Disclosure of Invention
The invention aims to provide a river channel patrol full spectrum water quality data analysis method.
The aim of the invention can be achieved by the following technical scheme: a method for analyzing full spectrum water quality data of river course patrol comprises the following steps:
step one: establishing a river channel three-dimensional layout model, dividing a river into a plurality of river channel drainage basins by combining the river channel three-dimensional layout model, and setting a patrol point at each river channel drainage basin;
step two: respectively acquiring spectral data of river water samples and river basin through infrared spectrum and ultraviolet spectrum at different patrol points;
step three: processing the obtained spectrum data to obtain water quality data of different river channels;
step four: and analyzing the water quality data of different river courses, so as to obtain the content of different components in the water and the distribution condition of algae and garbage in the river courses.
Further, the specific construction process of the river three-dimensional layout model comprises the following steps:
dividing a river channel into a plurality of river channel river channels, and setting a patrol point in each river channel; and establishing a river channel three-dimensional layout according to river channel river basin distribution on the river channel and the positions of corresponding inspection points of each river channel river basin.
Further, the process for obtaining the spectrum data of the river water sample comprises the following steps: and marking river channels, sampling river water at the inspection points of each river channel, so as to obtain a river water sample, and irradiating the river water sample by emitting near infrared spectrum to obtain water quality detection spectrum data of the river water sample.
Further, the process for obtaining the spectrum data of the river basin comprises the following steps: carrying out spectrum detection on the river basin corresponding to the river water sample through infrared spectrum, thereby obtaining water area detection spectrum data of the river basin; and processing the obtained water quality detection spectrum data of the river water sample and the water area detection spectrum data of the river basin so as to obtain the water quality data of the corresponding river basin.
Further, the processing process of the water quality detection spectrum data of the river water sample and the water area detection spectrum data of the river basin specifically comprises the following steps:
setting a water quality detection component reference library and a water area pollutant detection reference library;
and respectively inputting the obtained water quality detection spectrum data of the river water sample and the water area detection spectrum data of the river basin into a water quality detection component reference library and a water area pollutant detection reference library, so as to obtain the content of components corresponding to different coloring areas and the distribution condition of various components in the river basin, and performing spectrum analysis on different components in the obtained spectrogram, so as to obtain a spectrum analysis chart of the river water sample and the different components in the river basin.
Further, the water quality detection component reference library comprises names of different components in river water, and the establishment process of the water quality detection component reference library comprises the following steps: according to each component, setting an infrared detection spectrum of the corresponding component, acquiring the infrared light absorbance of each component owned by the unit content, and binding the obtained infrared detection spectrum with the corresponding component.
Further, the water area pollutant detection reference library comprises names of different algae or garbage in a river channel flow, and the water area pollutant detection reference library establishment process comprises the following steps: setting a corresponding ultraviolet detection spectrum according to each algae or garbage, obtaining the light absorbance of each algae or garbage unit content, and performing spectral analysis on the water quality detection spectrum data of the obtained river water sample to obtain a corresponding spectrogram.
Further, the analysis process of the water quality data of the river basin comprises the following steps:
marking spectral change curves in a spectrogram of a river water sample and a spectrogram of a river basin respectively, obtaining peak points in the spectrogram of the river water sample and the spectrogram of the river basin, marking light radiation amounts of wavelengths corresponding to the peak points, obtaining light absorption degrees of different wavelengths of light in the corresponding river water sample, and obtaining the ratio of the content of each component in the river water sample; and meanwhile, the coverage rate of algae and the garbage accumulation coefficient are obtained.
Compared with the prior art, the invention has the beneficial effects that: when the content of a certain component exceeds the standard, the river basin with the highest content of the component in different river basins is obtained, so that the source is positioned, and the river channel remediation efficiency is improved.
Drawings
FIG. 1 is a flow chart of the present invention.
Detailed Description
As shown in FIG. 1, the method for analyzing the full spectrum water quality data of the river course patrol comprises the following steps:
step one: establishing a river channel three-dimensional layout model, dividing a river into a plurality of river channel drainage basins by combining the river channel three-dimensional layout model, and setting a patrol point at each river channel drainage basin;
step two: acquiring spectral data of river channels through infrared spectrum and ultraviolet spectrum at different patrol points;
step three: processing the obtained spectrum data to obtain water quality data of different river channels;
step four: and analyzing the water quality data of different river courses, and sending the analysis result to a monitoring center.
It should be further noted that, in the implementation process, the three-dimensional layout model of the river channel is formed according to a certain proportion according to the actual construction of the river channel, and the specific construction process of the three-dimensional layout model of the river channel includes:
dividing a river channel into a plurality of river segments according to the requirement, and marking the corresponding region of each river segment as a river channel river basin;
setting an inspection point on each river reach; the inspection points are used for acquiring water quality data in the corresponding river channel flow areas at the inspection points when the water quality condition of the river channel is inspected;
and establishing a three-dimensional layout diagram of the river channel according to the river channel distribution on the river channel and the positions of the corresponding inspection points of each river channel.
The acquisition process of the spectrum data of the river water sample comprises the following steps:
the river basin is marked with the reference sign i, i=1, 2, … …, n, n is an integer;
river water sampling is carried out at the inspection point of each river basin, so that a river water sample is obtained;
and irradiating the river water sample by emitting near infrared spectrum to obtain the water quality detection spectrum data of the river water sample.
It should be further noted that in the specific implementation process, the infrared spectrum contains different components in the river sample during the detection process, and these components will generate different characteristic light waves after being irradiated by the infrared spectrum, and by receiving these characteristic light waves, the content of various components in the river sample can be clearly obtained, so as to further judge the water quality condition of the river basin corresponding to the river sample.
After the water quality detection data of the river water sample of the river basin are obtained, performing spectrum detection on the river basin corresponding to the river water sample through infrared spectrum, so as to obtain water area detection spectrum data of the river basin;
processing the obtained water quality detection spectrum data of the river water sample and the water area detection spectrum data of the river basin so as to obtain the water quality data of the corresponding river basin;
the processing process of the water quality detection spectrum data of the river water sample and the water area detection spectrum data of the river basin specifically comprises the following steps:
setting a water quality detection component reference library, wherein the water quality detection component reference library comprises names of different components in river water;
setting an infrared detection spectrum of the corresponding component according to each component;
acquiring the infrared light absorbance of each component in unit content;
binding the obtained infrared detection spectrum with corresponding components, thereby generating a water quality detection component reference library;
it should be further noted that, in the specific implementation process, the water quality detection component reference library is used for detecting the content of various trace elements in river water;
setting a water area pollutant detection reference library, wherein the water area pollutant detection reference library comprises names of different algae or garbage in a river channel flow field;
setting a corresponding ultraviolet detection spectrum according to each algae or garbage, and obtaining the light absorbance of each algae or garbage unit content;
carrying out spectral analysis on the water quality detection spectral data of the obtained river water sample so as to obtain a corresponding spectrogram;
inputting the obtained spectrogram into a water quality detection component reference library, so as to obtain the distribution condition of various components in the spectrogram, coloring different components, and obtaining the content of the components corresponding to different coloring areas according to different color finding areas in the spectrogram;
processing the water area detection spectrum data of the river basin so as to obtain a spectrum diagram of the river basin;
inputting the obtained spectrogram into a water quality detection component reference library, so as to obtain the distribution condition of various components in the river channel flow, and carrying out coloring treatment on different components;
and carrying out spectrum analysis on different components in the obtained spectrogram, thereby obtaining a river water sample and a spectrum analysis chart of different components in a river channel flow field.
Analyzing the processed water quality data so as to judge the water quality condition in the corresponding river channel flow field, wherein the specific analysis process comprises the following steps:
marking a spectrum graph of a river water sample and a spectrum change curve in a spectrum graph of a river basin respectively, wherein the abscissa of the spectrum change curve is wavelength, and the ordinate is light radiation quantity;
acquiring a spectrogram of a river water sample and peak points in the spectrogram of a river basin, and marking the light radiation quantity of the wavelength corresponding to each peak point;
by inputting the light radiation amounts of different wavelengths of light in the spectrogram of the river water sample into the formula Hf=log (HG) Front part /HG Rear part (S) ) Thereby obtaining a corresponding light absorbance HF; wherein HG is a kind of Front part HG is the light radiation quantity of infrared light before the river water sample is irradiated Rear part (S) The method is characterized in that the method is the light radiation quantity of infrared light after the river water sample is irradiated;
obtaining the content of different components according to the front and back light radiation amounts of different components in the river water sample;
the ratio of different components in the river water sample is obtained according to the obtained content of each component.
By inputting the light radiation amounts of different wavelength lights in the spectrogram of the river basin into the formula Yf=log (YG) Front part /YG Rear part (S) ) Thereby obtaining the light absorbance YF of the corresponding river basin; wherein YG Front part HG is the light radiation quantity of ultraviolet light before the irradiation of river basin Rear part (S) The light radiation quantity of ultraviolet light after the river basin is irradiated is used;
the coverage area of different algae and the quantity of garbage in the river channel flow field are obtained according to the front and back light radiation quantities of different components in the river channel flow field;
according to the coverage areas of different algae and the areas of corresponding river channels, the coverage rate of different algae is obtained;
obtaining the garbage quantity of each river basin, and marking the garbage quantity as LJ i ;
The total garbage amount in the river is lz=lj 1 +LJ 2 +……+LJ n ;
The garbage distribution rate in the river lf=lz/L; wherein L is the total length of the river channel;
it should be further noted that, in the specific implementation process, the positions and the geographical features of the river basin are often different, so that garbage accumulation exists in the river basin with a part of special topography, and the formula ld=lj is adopted i -LZ/n obtaining a garbage accumulation coefficient LD;
setting a garbage accumulation coefficient threshold, marking a corresponding river basin when the garbage accumulation coefficient is higher than the garbage accumulation coefficient threshold, and sending the river basin to a monitoring center, wherein the monitoring center is used for arranging river garbage cleaning;
setting corresponding algae coverage thresholds according to the algae respectively, and comparing the obtained algae coverage with the corresponding algae coverage thresholds; when the algae coverage exceeds the algae coverage threshold, marking the corresponding river basin position, sending the position of the river basin to a monitoring center, and arranging the monitoring center to clean the algae in the river.
Setting a ratio threshold of each component according to each component, comparing the ratio of each component in the obtained river water sample with a corresponding ratio threshold, and marking the corresponding component and the river basin if the ratio exceeds the ratio threshold;
marking all river courses of which the occupation ratios of the components exceed the occupation ratio threshold value;
and obtaining the river basin corresponding to the highest occupation ratio, marking the river basin as an influence source of the component, and then transmitting the influence source to a monitoring center.
It should be further explained that in the specific implementation process, trace elements in river water cannot be directly perceived when exceeding standards, and tracing of pollution sources is difficult.
The above formulas are all formulas with dimensions removed and numerical values calculated, the formulas are formulas which are obtained by acquiring a large amount of data and performing software simulation to obtain the closest actual situation, and preset parameters and preset thresholds in the formulas are set by a person skilled in the art according to the actual situation or are obtained by simulating a large amount of data.
The above embodiments are only for illustrating the technical method of the present invention and not for limiting the same, and it should be understood by those skilled in the art that the technical method of the present invention may be modified or substituted without departing from the spirit and scope of the technical method of the present invention.
Claims (2)
1. The method for analyzing the full spectrum water quality data of the river course patrol is characterized by comprising the following steps:
step one: establishing a river channel three-dimensional layout model, dividing a river into a plurality of river channel drainage basins by combining the river channel three-dimensional layout model, and setting a patrol point at each river channel drainage basin;
step two: respectively acquiring spectral data of river water samples and river basin through infrared spectrum and ultraviolet spectrum at different patrol points;
step three: processing the obtained spectrum data to obtain water quality data of different river channels;
step four: analyzing water quality data of different river courses to obtain the occupation ratios of different components in water and the distribution conditions of algae and garbage in the river courses, setting occupation ratio thresholds of the components according to the various components, comparing the occupation ratios of the components in the obtained river water sample with corresponding occupation ratio thresholds, and marking the corresponding components and the river courses if the occupation ratios exceed the occupation ratio thresholds; marking river courses corresponding to the components in all river courses, wherein the proportion of the components exceeds a proportion threshold value, obtaining the river course corresponding to the highest proportion, and finishing tracing the trace element out-of-standard components;
the acquisition process of the spectrum data of the river water sample comprises the following steps: labeling river channels, sampling river water at the inspection points of each river channel, so as to obtain a river water sample, irradiating the river water sample by emitting near infrared spectrum, and obtaining water quality detection spectrum data of the river water sample;
the acquisition process of the spectrum data of the river basin comprises the following steps: carrying out spectrum detection on the river basin corresponding to the river water sample through infrared spectrum, thereby obtaining water area detection spectrum data of the river basin; processing the obtained water quality detection spectrum data of the river water sample and the water area detection spectrum data of the river basin so as to obtain the water quality data of the corresponding river basin;
the processing process of the water quality detection spectrum data of the river water sample and the water area detection spectrum data of the river basin specifically comprises the following steps:
setting a water quality detection component reference library and a water area pollutant detection reference library;
the obtained water quality detection spectrum data of the river water sample and the obtained water area detection spectrum data of the river basin are respectively input into a water quality detection component reference library and a water area pollutant detection reference library, so that the content of components corresponding to different coloring areas and the distribution situation of various components in the river basin are obtained, and spectrum analysis is carried out on different components in the obtained spectrogram, so that a spectrum analysis chart of the river water sample and the different components in the river basin is obtained;
the water quality detection component reference library comprises names of different components in river water, and the establishment process of the water quality detection component reference library comprises the following steps: according to each component, setting an infrared detection spectrum of the corresponding component, acquiring the infrared light absorbance of each component owned by the unit content, and binding the acquired infrared detection spectrum with the corresponding component;
the water area pollutant detection reference library comprises names of different algae or garbage in a river channel flow, and the establishment process of the water area pollutant detection reference library comprises the following steps: setting a corresponding ultraviolet detection spectrum according to each algae or garbage, obtaining the light absorbance of each algae or garbage unit content, and performing spectral analysis on the water quality detection spectrum data of the obtained river water sample to obtain a corresponding spectrogram;
the analysis process of the water quality data of the river basin comprises the following steps:
marking spectral change curves in a spectrogram of a river water sample and a spectrogram of a river basin respectively, obtaining peak points in the spectrogram of the river water sample and the spectrogram of the river basin, marking light radiation amounts of wavelengths corresponding to the peak points, obtaining light absorption degrees of different wavelengths of light in the corresponding river water sample, and obtaining the ratio of the content of each component in the river water sample; meanwhile, the coverage rate of algae and the garbage accumulation coefficient are obtained;
setting a garbage accumulation coefficient threshold, marking a corresponding river basin when the garbage accumulation coefficient is higher than the garbage accumulation coefficient threshold, and sending the river basin to a monitoring center, wherein the monitoring center is used for arranging river garbage cleaning;
setting corresponding algae coverage thresholds according to the algae respectively, and comparing the obtained algae coverage with the corresponding algae coverage thresholds; when the algae coverage exceeds the algae coverage threshold, marking the corresponding river basin position, sending the position of the river basin to a monitoring center, and arranging the monitoring center to clean the algae in the river.
2. The method for analyzing the water quality data of the river course patrol full spectrum according to claim 1, wherein the specific construction process of the three-dimensional layout model of the river course comprises the following steps:
dividing a river channel into a plurality of river channel river channels, and setting a patrol point in each river channel; and establishing a river channel three-dimensional layout according to river channel river basin distribution on the river channel and the positions of corresponding inspection points of each river channel river basin.
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Citations (18)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
RU2004105902A (en) * | 2004-02-27 | 2005-08-10 | Марийский государственный технический университет (RU) | METHOD FOR MEASURING RIVER POLLUTION BY WASTE WATER |
JP2005214863A (en) * | 2004-01-30 | 2005-08-11 | Kurabo Ind Ltd | Method of measuring water and aqueous solution by ultraviolet ray |
CN108193637A (en) * | 2018-01-09 | 2018-06-22 | 云南林业职业技术学院 | A kind of Tao wife and children river water protects comprehensive processing method |
CN109711674A (en) * | 2018-12-03 | 2019-05-03 | 北京师范大学 | A kind of finger-print base construction method and device traced to the source for lake and reservoir water pollution |
CN110531043A (en) * | 2019-08-29 | 2019-12-03 | 中水三立数据技术股份有限公司 | A kind of basin water environment pollution intelligent management system and its method |
CN111199341A (en) * | 2019-12-19 | 2020-05-26 | 山东省济南生态环境监测中心 | Small and medium basin pollution source analysis method based on multi-drainage-port inspection and monitoring |
WO2020133944A1 (en) * | 2018-12-29 | 2020-07-02 | 四川碧朗科技有限公司 | Method for constructing water quality index prediction model, and method for monitoring water quality index |
CN111579738A (en) * | 2019-11-05 | 2020-08-25 | 浙江名朋环境科技有限公司 | Buoy type water quality monitoring equipment, pollution monitoring and tracing system and method |
CN111815062A (en) * | 2020-07-16 | 2020-10-23 | 山东省科技发展战略研究所 | Pollution source traceability system based on pollution information analysis |
CN112198144A (en) * | 2020-09-16 | 2021-01-08 | 安徽泽众安全科技有限公司 | Method and system for rapid sewage tracing |
CN112418426A (en) * | 2020-11-19 | 2021-02-26 | 中科三清科技有限公司 | Drain pollutant emission tracing method and device, computing equipment and storage medium |
CN112485388A (en) * | 2019-09-11 | 2021-03-12 | 湘潭智联技术转移促进有限责任公司 | River pollutant tracing method |
CN112596545A (en) * | 2020-12-18 | 2021-04-02 | 江苏省苏力环境科技有限责任公司 | Multispectral-based water pollution source head unmanned aerial vehicle troubleshooting method and system and storage medium |
CN112816646A (en) * | 2021-01-22 | 2021-05-18 | 同济大学 | Grid water quality monitoring-based riverway sewage outlet tracing method |
CN113108765A (en) * | 2020-01-13 | 2021-07-13 | 贵州博纳康环保科技有限公司 | Full-time-space water environment monitoring platform |
CN113125659A (en) * | 2019-12-31 | 2021-07-16 | 芯视界(北京)科技有限公司 | Water quality monitoring platform |
KR102297368B1 (en) * | 2021-04-09 | 2021-09-03 | 주식회사 부린 | System and method for generating assessments and reports on the safety of public facilities in small rivers |
AU2021106282A4 (en) * | 2021-08-21 | 2021-11-04 | Nanjing Institute of Environmental Sciences.MEE | A method for quickly tracing the source of water pollution emergencies in a river basin |
-
2021
- 2021-12-24 CN CN202111596711.6A patent/CN114324231B/en active Active
Patent Citations (18)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2005214863A (en) * | 2004-01-30 | 2005-08-11 | Kurabo Ind Ltd | Method of measuring water and aqueous solution by ultraviolet ray |
RU2004105902A (en) * | 2004-02-27 | 2005-08-10 | Марийский государственный технический университет (RU) | METHOD FOR MEASURING RIVER POLLUTION BY WASTE WATER |
CN108193637A (en) * | 2018-01-09 | 2018-06-22 | 云南林业职业技术学院 | A kind of Tao wife and children river water protects comprehensive processing method |
CN109711674A (en) * | 2018-12-03 | 2019-05-03 | 北京师范大学 | A kind of finger-print base construction method and device traced to the source for lake and reservoir water pollution |
WO2020133944A1 (en) * | 2018-12-29 | 2020-07-02 | 四川碧朗科技有限公司 | Method for constructing water quality index prediction model, and method for monitoring water quality index |
CN110531043A (en) * | 2019-08-29 | 2019-12-03 | 中水三立数据技术股份有限公司 | A kind of basin water environment pollution intelligent management system and its method |
CN112485388A (en) * | 2019-09-11 | 2021-03-12 | 湘潭智联技术转移促进有限责任公司 | River pollutant tracing method |
CN111579738A (en) * | 2019-11-05 | 2020-08-25 | 浙江名朋环境科技有限公司 | Buoy type water quality monitoring equipment, pollution monitoring and tracing system and method |
CN111199341A (en) * | 2019-12-19 | 2020-05-26 | 山东省济南生态环境监测中心 | Small and medium basin pollution source analysis method based on multi-drainage-port inspection and monitoring |
CN113125659A (en) * | 2019-12-31 | 2021-07-16 | 芯视界(北京)科技有限公司 | Water quality monitoring platform |
CN113108765A (en) * | 2020-01-13 | 2021-07-13 | 贵州博纳康环保科技有限公司 | Full-time-space water environment monitoring platform |
CN111815062A (en) * | 2020-07-16 | 2020-10-23 | 山东省科技发展战略研究所 | Pollution source traceability system based on pollution information analysis |
CN112198144A (en) * | 2020-09-16 | 2021-01-08 | 安徽泽众安全科技有限公司 | Method and system for rapid sewage tracing |
CN112418426A (en) * | 2020-11-19 | 2021-02-26 | 中科三清科技有限公司 | Drain pollutant emission tracing method and device, computing equipment and storage medium |
CN112596545A (en) * | 2020-12-18 | 2021-04-02 | 江苏省苏力环境科技有限责任公司 | Multispectral-based water pollution source head unmanned aerial vehicle troubleshooting method and system and storage medium |
CN112816646A (en) * | 2021-01-22 | 2021-05-18 | 同济大学 | Grid water quality monitoring-based riverway sewage outlet tracing method |
KR102297368B1 (en) * | 2021-04-09 | 2021-09-03 | 주식회사 부린 | System and method for generating assessments and reports on the safety of public facilities in small rivers |
AU2021106282A4 (en) * | 2021-08-21 | 2021-11-04 | Nanjing Institute of Environmental Sciences.MEE | A method for quickly tracing the source of water pollution emergencies in a river basin |
Non-Patent Citations (2)
Title |
---|
东辽河流域河湖光学吸收特性的季节变化;宋炎炎;苏东辉;邵田田;;应用生态学报(06);全文 * |
水纹预警溯源技术在地表水水质监测的应用;吕清 等;《中国环境监测》;全文 * |
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