CN106940290A - Reservoir water body ammonia-nitrogen content evaluation method based on high-spectral data - Google Patents
Reservoir water body ammonia-nitrogen content evaluation method based on high-spectral data Download PDFInfo
- Publication number
- CN106940290A CN106940290A CN201710053547.1A CN201710053547A CN106940290A CN 106940290 A CN106940290 A CN 106940290A CN 201710053547 A CN201710053547 A CN 201710053547A CN 106940290 A CN106940290 A CN 106940290A
- Authority
- CN
- China
- Prior art keywords
- nitrogen content
- ammonia
- water body
- reservoir
- reservoir water
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
- G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
Landscapes
- Physics & Mathematics (AREA)
- Spectroscopy & Molecular Physics (AREA)
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Chemical & Material Sciences (AREA)
- Analytical Chemistry (AREA)
- Biochemistry (AREA)
- General Health & Medical Sciences (AREA)
- General Physics & Mathematics (AREA)
- Immunology (AREA)
- Pathology (AREA)
- Investigating Or Analysing Materials By Optical Means (AREA)
Abstract
The invention discloses a kind of reservoir water body ammonia-nitrogen content evaluation method based on high-spectral data; appraising model is established according to spectral reflectivity wavelength derivative and water body sample actual measurement ammonia-nitrogen content; and then the estimation of ammonia-nitrogen content is carried out according to appraising model; quickly obtain a high-precision estimation result; be conducive to deepening the environmental problem understanding of reservoir area eucalyptus, science and technology support and decision-making foundation are provided for protection water quality ecological safety, sustainable development.
Description
Technical field
The present invention relates to water quality ecological security technology area, and in particular to a kind of reservoir water body ammonia based on high-spectral data
Nitrogen content evaluation method.
Background technology
Eucalyptus is one of world-renowned three big quick growing species of trees, is sub- hot aithullium, originates in Australia.Due to eucalyptus
In industrial applications such as papermaking, wood-based plate, buildings extensively, current Guangdong eucalyptus cultivated area is close to 3,000,000 hm2.Fast-growing Eucalyptus Stand
Ammonia nitrogen fertilising number of dropouts is more much bigger than other broad-leaf forests, causes the lake storehouse drinking water source protection zone water pollution in eucalyptus forest zone tight
Weight.
The more concern eucalyptus plantation atmosphere pollution purification of conventional research, liquid manure utilize with Nutrient Cycling, water balance,
Bio-diversity etc., pays close attention to inadequate to Eucalypt plantation ecosystem water quality negative effect.At present for greatly developing eucalyptus people
Work woods, academia has dispute, and its bone of contention is the ecological environment problem of eucalyptus.For example, Guangdong west of Guangdong Province Yuexi Hedi Reservoir
Across the Guangdong province's (longitude and latitude of osmanthus two in ground:21 ° of 42.561 ' -21 ° of 53.349 ' N, 110 ° of 16.859 ' -110 ° of 23.406 ' E), away from Zhanjiang City
75 kilometers, 122 square kilometres of reservoir surface area is one of big reservoir in Guangdong three, is the important water source in Zhanjiang City.It is big due to Eucalyptus Stand
Amount is developed, and Reservoir Water Quality occurred in that the trend of being decreased obviously (wherein eucalyptus plantation is one of six big pollution sources), eucalyptus people in recent years
Work woods water quality ecological problem has turned into one of common focus of attention of various circles of society in the sustainable development of Zhanjiang.
The content of the invention
In view of the shortcomings of the prior art, it is an object of the invention to provide a kind of reservoir water body ammonia based on high-spectral data
Nitrogen content evaluation method, to improve the efficiency and precision of the monitoring of reservoir water body ammonia-nitrogen content.
In order to realize the above object the technical solution adopted by the present invention is as follows:
A kind of reservoir water body ammonia-nitrogen content evaluation method based on high-spectral data, including step:
Live water spectral measurement and water body sampling are carried out in reservoir to be measured using field spectroradiometer, record water body is in each ripple
The reflectivity of strong point simultaneously collects some groups of water samples;
The measurement of ammonia-nitrogen content is carried out to the water sample of collection;
Asked according to following derivatives and calculate the derivative that formula calculates each wavelength of spectral reflectivity;
Ri'=Ri+1-Ri
In formula, R represents the spectral reflectivity of field spectroradiometer measurement, and i is wavelength, and unit is nm;
N number of sample is randomly choosed from the water sample sample of collection, is contained using spectral reflectivity derivative and reservoir water body ammonia nitrogen
Amount carries out Pearson correlation analysis, obtains the coefficient correlation P of each wavelength derivative of spectral reflectivity and ammonia-nitrogen contenti:
Wherein, PiFor coefficient correlation, i is wavelength, Ri' it is each wavelength derivative of spectral reflectivity, y contains for reservoir water body ammonia nitrogen
Data are measured, N is number of samples;
Choose coefficient correlation PiCorresponding spectral reflectivity wavelength derivative and ammonia-nitrogen content during maximum absolute value, carry out shape
Such as y=ax2+ bx+c quadratic function fitting, obtains reservoir water body ammonia-nitrogen content appraising model, wherein dependent variable y contains for ammonia nitrogen
Amount, independent variable x is spectral reflectivity wavelength derivative;
The ammonia-nitrogen content of reservoir water body to be measured is estimated according to the reservoir water body ammonia-nitrogen content appraising model.
Reservoir water body ammonia-nitrogen content evaluation method of the invention based on high-spectral data, according to spectral reflectivity wavelength derivative
Appraising model is established with water body sample actual measurement ammonia-nitrogen content, and then the estimation of ammonia-nitrogen content is carried out according to appraising model, quickly
Obtain a high-precision estimation result, be conducive to deepen reservoir area eucalyptus environmental problem understanding, for protection water quality ecological safety,
Sustainable development provides science and technology support and decision-making foundation.
Brief description of the drawings
Fig. 1 is the geographical position schematic diagram of Hedi Reservoir;
Fig. 2 is the geographical position schematic diagram after Hedi Reservoir amplifies;
Fig. 3 is the schematic diagram of Hedi Reservoir locus and water sampling point;
Fig. 4 is the schematic flow sheet of the reservoir water body ammonia-nitrogen content evaluation method of the invention based on high-spectral data;
Fig. 5 sets up schematic diagram for reservoir water body ammonia-nitrogen content appraising model;
Fig. 6 is the schematic diagram verified to the precision of reservoir water body ammonia-nitrogen content appraising model.
Embodiment
With reference to embodiment, the present invention is further illustrated.
As Figure 1-3, Hedi Reservoir is located in Lezhou Peninsula the north, and the He Chun towns in 14 kilometers of west of a city north, reservoir area leap is wide
The Luchuan of western Zhuang autonomous region, the county of Bobai two, in nine continent Jiang Zhongyou, 1440 square kilometres of catchment area, aggregate storage capacity 11.51 hundred million
Cubic meter, is based on irrigation, with reference to the large reservoir of the comprehensive utilizations such as flood control, generating and shipping.Designed irrigation area 2,000,000
Mu, 1,270,000 mu of effective irrigation area.Hedi Reservoir is carry-over storage, the billion cubic meter of aggregate storage capacity 11.875, wherein adjusting big vast storehouse
Hold 3.115 billion cubic meters, the billion cubic meter of utilizable capacity 5.36, the billion cubic meter of minimum capacity of a reservoir 3.4.Hedi Reservoir irrigated area canal system from north to
More than half Lezhou Peninsula is run through in south.Entitled " the main river in Lezhou Peninsula youth canal " 76 kilometers of the total length of general main canal, design is most greater than water
The cubic meters per second of ability 120.There are Dong Haihe, Xi Haihe, eastern canal, western canal, 5, tetrad trunk canal in big trunk canal, 195 is grown altogether public
In;155, trunk canal, it is long 1164 kilometers;1467, branch canal, it is long 4041 kilometers.
Using Hedi Reservoir as reservoir to be measured, as shown in figure 4, the detailed process of the present embodiment is as follows.
Step 101, using field spectroradiometer, preferably by ASD field spectroradiometers, according to mensuration on the water surface,
Water spectral measurement and water body sampling are carried out across the Hedi Reservoir reservoir area of Guangdong, the province of Guangxi two, 36, sample is obtained altogether.
Step 102, the water sample of collection are fitted into water sample bottle, it is to avoid sunlight irradiates and sent laboratory back within 24 hours
Row ammonia-nitrogen content is determined, and measuring method is Na's reagent.
Step 103, the derivative for calculating each wavelength of calculating shown in formula 1 is sought according to derivative;
Ri'=Ri+1-Ri (1)
In formula, R is the spectral reflectivity of ASD field spectroradiometers measurement, and i is wavelength, and unit is nm;
Step 104, according to total number of samples (36 samples), 26 samples of random selection carry out ammonia-nitrogen content inverse models
Set up, remaining 10 samples are used for precision test.Obtained spectral reflectivity derivative data and water is calculated using formula (1)
The measurement data of storehouse water body ammonia-nitrogen content, carries out Pearson correlation analysis and obtains each wavelength derivative of spectral reflectivity and ammonia nitrogen
The coefficient correlation P of contenti, shown in Pearson Related Computational Methods such as formula (2).
Wherein, PiFor coefficient correlation, i wavelength, Ri' it is each wavelength derivative of spectral reflectivity, y is reservoir water body ammonia-nitrogen content
Data, N is number of samples.
Step 105, selection coefficient correlation PiCorresponding the spectral reflectivity wavelength derivative and ammonia nitrogen of maximum absolute value contain
Data are measured, shape such as y=ax is carried out using the Regression Function of SPSS softwares2+ bx+c quadratic function fitting (wherein dependent variable
Y is ammonia-nitrogen content data, and independent variable x is spectral reflectivity wavelength derivative), finally try to achieve parameter a=26041023.4161, b=
879.9943rd, the c=0.0407 coefficients of determination are 0.602.Establish reservoir water body ammonia-nitrogen content appraising model y=
26041023.4161x2+ 879.9943x+0.0407, relation such as Fig. 5 institutes between independent variable x and dependent variable y and appraising model
Show.
Step s106, by spectral reflectivity wavelength derivative substitution appraising model can rapidly and accurately estimate the ammonia of water-outlet body
Nitrogen content.
In order to verify the precision of above-mentioned appraising model, using the spectral reflectivity wavelength derivative data of remaining 10 samples as
Independent variable is substituted into above-mentioned reservoir water body ammonia-nitrogen content appraising model respectively can try to achieve 10 ammonia-nitrogen content digital simulation values respectively,
Based on 10 ammonia-nitrogen content analogues value and its measure actual value, as shown in fig. 6, with root-mean-square error RMSE and average relative error
MRE carrys out the precision of characterization model, and RMSE and MRE computational methods are respectively as shown in formula (3), (4);
In formula, RMSE is root-mean-square error, and MRE is average relative error, and y is ammonia-nitrogen content actual value, and y ' contains for ammonia nitrogen
The analogue value is measured, n is number of samples.
To sum up, high-spectral data reservoir water body ammonia-nitrogen content modeling accuracy and simulation precision are based on by analysis, finally built
The reservoir water body ammonia nitrogen inversion method based on high-spectral data is found.
Above-listed detailed description is illustrating for possible embodiments of the present invention, and the embodiment simultaneously is not used to limit this hair
Bright the scope of the claims, all equivalence enforcements or change without departing from carried out by the present invention are intended to be limited solely by the scope of the claims of this case.
Claims (5)
1. a kind of reservoir water body ammonia-nitrogen content evaluation method based on high-spectral data, it is characterised in that including step:
Live water spectral measurement and water body sampling are carried out in reservoir to be measured using field spectroradiometer, record water body is at each wavelength
Reflectivity and collect some groups of water samples;
The measurement of ammonia-nitrogen content is carried out to the water sample of collection;
Asked according to following derivatives and calculate the derivative that formula calculates each wavelength of spectral reflectivity;
Ri'=Ri+1-Ri
In formula, R represents the spectral reflectivity of field spectroradiometer measurement, and i is wavelength, and unit is nm;
N number of sample is randomly choosed from the water sample sample of collection, is entered using spectral reflectivity derivative and reservoir water body ammonia-nitrogen content
Row Pearson correlation analysis, obtains the coefficient correlation P of each wavelength derivative of spectral reflectivity and ammonia-nitrogen contenti:
Wherein, PiFor coefficient correlation, i is wavelength, Ri' it is each wavelength derivative of spectral reflectivity, y is reservoir water body ammonia-nitrogen content number
According to N is number of samples;
Choose coefficient correlation PiCorresponding spectral reflectivity wavelength derivative and ammonia-nitrogen content during maximum absolute value, carry out shape such as y=
ax2+ bx+c quadratic function fitting, obtains reservoir water body ammonia-nitrogen content appraising model, and wherein dependent variable y is ammonia-nitrogen content, from
Variable x is spectral reflectivity wavelength derivative;
The ammonia-nitrogen content of reservoir water body to be measured is estimated according to the reservoir water body ammonia-nitrogen content appraising model.
2. the reservoir water body ammonia-nitrogen content evaluation method according to claim 1 based on high-spectral data, it is characterised in that
36 groups of water samples are collected, and randomly choose 26 groups of water samples therein and carry out building for the reservoir water body ammonia-nitrogen content appraising model
Vertical, it is 0.602, the water of foundation finally to try to achieve parameter a=26041023.4161, b=879.9943, c=0.0407 coefficient of determination
Storehouse water body ammonia-nitrogen content appraising model is y=26041023.4161x2+879.9943x+0.0407。
3. the reservoir water body ammonia-nitrogen content evaluation method according to claim 2 based on high-spectral data, it is characterised in that
Also include step:
The spectral reflectivity wavelength derivative of n sample outside N number of sample is substituted into the reservoir water body as independent variable respectively
In ammonia-nitrogen content appraising model, ammonia-nitrogen content analogue value y ' is obtained, it is homogeneous with root-mean-square error RMSE peace with reference to measured value y
Carry out the precision of characterization model to error MRE, RMSE and MRE computational methods are shown below respectively;
4. the reservoir water body ammonia-nitrogen content evaluation method according to claim 3 based on high-spectral data, it is characterised in that
The fitting of the quadratic function is carried out using the Regression Function of statistical analysis software.
5. the reservoir water body ammonia-nitrogen content evaluation method based on high-spectral data according to claim 1 or 2 or 3 or 4, its
It is characterised by,
The water sample of collection is fitted into water sample bottle, it is to avoid sunlight, which irradiates and sent laboratory back within 24 hours, carries out ammonia-nitrogen content survey
Amount, measuring method is Na's reagent.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201710053547.1A CN106940290A (en) | 2017-01-22 | 2017-01-22 | Reservoir water body ammonia-nitrogen content evaluation method based on high-spectral data |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201710053547.1A CN106940290A (en) | 2017-01-22 | 2017-01-22 | Reservoir water body ammonia-nitrogen content evaluation method based on high-spectral data |
Publications (1)
Publication Number | Publication Date |
---|---|
CN106940290A true CN106940290A (en) | 2017-07-11 |
Family
ID=59469862
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201710053547.1A Pending CN106940290A (en) | 2017-01-22 | 2017-01-22 | Reservoir water body ammonia-nitrogen content evaluation method based on high-spectral data |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN106940290A (en) |
Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108007881A (en) * | 2017-11-30 | 2018-05-08 | 中国农业大学 | A kind of aquaculture water quality total nitrogen content detection method based on spectral technique |
CN108507949A (en) * | 2018-02-07 | 2018-09-07 | 浙大正呈科技有限公司 | A kind of river water quality monitoring method based on high score remote sensing satellite |
CN110320164A (en) * | 2019-06-28 | 2019-10-11 | 华南农业大学 | A kind of method for building up of romaine lettuce total nitrogen content EO-1 hyperion inverse model and its application |
CN116223398A (en) * | 2023-02-01 | 2023-06-06 | 广州华立学院 | Water, fertilizer and pesticide integrated concentration proportioning method based on spectral analysis |
Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20100076281A1 (en) * | 2007-03-27 | 2010-03-25 | Ariel Navon | Device and method for monitoring blood parameters |
CN103868858A (en) * | 2014-03-03 | 2014-06-18 | 上海交通大学 | Method for determining optimal band realizing spectrum response of dominated salt in saline soil |
CN105699319A (en) * | 2016-01-28 | 2016-06-22 | 山西汾西矿业(集团)有限责任公司 | Near infrared spectrum quick detection method for total moisture of coal based on gaussian process |
CN105699320A (en) * | 2016-01-28 | 2016-06-22 | 山西汾西矿业(集团)有限责任公司 | Near infrared spectrum quick detection method for coal sulfur based on Gauss process |
-
2017
- 2017-01-22 CN CN201710053547.1A patent/CN106940290A/en active Pending
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20100076281A1 (en) * | 2007-03-27 | 2010-03-25 | Ariel Navon | Device and method for monitoring blood parameters |
CN103868858A (en) * | 2014-03-03 | 2014-06-18 | 上海交通大学 | Method for determining optimal band realizing spectrum response of dominated salt in saline soil |
CN105699319A (en) * | 2016-01-28 | 2016-06-22 | 山西汾西矿业(集团)有限责任公司 | Near infrared spectrum quick detection method for total moisture of coal based on gaussian process |
CN105699320A (en) * | 2016-01-28 | 2016-06-22 | 山西汾西矿业(集团)有限责任公司 | Near infrared spectrum quick detection method for coal sulfur based on Gauss process |
Non-Patent Citations (1)
Title |
---|
张笑东: "《基于反射光谱的早稻氮素营养监测研究》", 《中国优秀硕士论文全文数据库》 * |
Cited By (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108007881A (en) * | 2017-11-30 | 2018-05-08 | 中国农业大学 | A kind of aquaculture water quality total nitrogen content detection method based on spectral technique |
CN108507949A (en) * | 2018-02-07 | 2018-09-07 | 浙大正呈科技有限公司 | A kind of river water quality monitoring method based on high score remote sensing satellite |
CN108507949B (en) * | 2018-02-07 | 2020-11-13 | 浙大正呈科技有限公司 | River water quality monitoring method based on high-resolution remote sensing satellite |
CN110320164A (en) * | 2019-06-28 | 2019-10-11 | 华南农业大学 | A kind of method for building up of romaine lettuce total nitrogen content EO-1 hyperion inverse model and its application |
CN116223398A (en) * | 2023-02-01 | 2023-06-06 | 广州华立学院 | Water, fertilizer and pesticide integrated concentration proportioning method based on spectral analysis |
CN116223398B (en) * | 2023-02-01 | 2023-11-03 | 广州华立学院 | Water, fertilizer and pesticide integrated concentration proportioning method based on spectral analysis |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN109657418B (en) | Lake water environment capacity calculation method based on MIKE21 | |
Reitz et al. | Annual estimates of recharge, quick‐flow runoff, and evapotranspiration for the contiguous US using empirical regression equations | |
Milly | Climate, soil water storage, and the average annual water balance | |
Koch et al. | Application of the SWAT model for a tile-drained lowland catchment in North-Eastern Germany on subbasin scale | |
CN106940290A (en) | Reservoir water body ammonia-nitrogen content evaluation method based on high-spectral data | |
Katata | Fogwater deposition modeling for terrestrial ecosystems: A review of developments and measurements | |
CN103970994B (en) | Inland Water chlorophyll concentration multi-model based on data assimilation works in coordination with inversion method | |
CN105300864A (en) | Quantitative remote sensing method of suspended sediment | |
Thierion et al. | Assessing the water balance of the Upper Rhine Graben hydrosystem | |
CN108647401A (en) | A kind of basin nitrogen and phosphorus pollution appraisal procedure based on space remote sensing technology | |
Kim et al. | An offline unstructured biogeochemical model (UBM) for complex estuarine and coastal environments | |
Rathjens et al. | SWAT model calibration of a grid-based setup | |
Yasarer et al. | Characterizing ponds in a watershed simulation and evaluating their influence on streamflow in a Mississippi watershed | |
Zwart et al. | Spatially explicit, regional‐scale simulation of lake carbon fluxes | |
CN103308956B (en) | Method for pre-judging future monthly average cloud cover in target area by utilizing cloud climatology data | |
CN106370802A (en) | Method for determining water loss of reservoir by using hydrogen and oxygen isotopes | |
Hassan et al. | A modeling approach to simulate impact of climate change in lake water quality: phytoplankton growth rate assessment | |
Cai et al. | Stable water isotope and surface heat flux simulation using ISOLSM: Evaluation against in-situ measurements | |
CN106769904A (en) | Reservoir water body total nitrogen content evaluation method based on optimization derivative computation | |
CN106777757A (en) | Estimation method and device for vegetation leaf area index | |
CN103033274A (en) | Measuring method of solar temperature probability density | |
RU2540557C2 (en) | Method to measure diameter of tree trunk and device for its realisation | |
Chen et al. | Sensitivity analysis for the total nitrogen pollution of the Danjiangkou Reservoir based on a 3-D water quality model | |
Costelloe et al. | Modelling stream flow for use in ecological studies in a large, arid zone river, central Australia | |
Goyal et al. | Simulation of the Streamflow for the Rio Nuevo Watershed of Jamaica for use in agriculture water scarcity planning |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
RJ01 | Rejection of invention patent application after publication | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20170711 |