A river organic carbon flux monitoring method and system based on remote sensing inversion

Abstract

The application provides a river organic carbon flux monitoring method and system based on remote sensing inversion, and relates to the technical field of river ecosystem carbon flux monitoring.The method comprises the following steps: inversing the organic carbon concentration of a river through remote sensing images; measuring the cross-section flow of the river; and calculating the organic carbon flux of the river according to the organic carbon concentration of the river and the measured results of the cross-section flow of the river.The application can make the river carbon flux calculation process short in period, low in cost, efficient and meet the calculation requirements of multiple points in a large watershed, and can scientifically, conveniently and accurately monitor the river carbon flux, can calculate the past river carbon flux in a large range and inversion, and solve the problems of long period, high cost and small application range caused by traditional manual field sampling and laboratory detection and analysis.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of river ecosystem carbon flux monitoring, and particularly relates to a river organic carbon flux monitoring method and system based on remote sensing inversion. BACKGROUND

[0002] Carrying out ecosystem carbon flux monitoring and related research is an important prerequisite for enhancing the carbon sink of the ecosystem. As an important part of the ecosystem, rivers are an important link in the carbon cycle of the ecosystem, and they play an important role in global carbon cycle as a link between the terrestrial ecosystem and the marine ecosystem. Most of the carbon in rivers enters the atmosphere in the form of carbon dioxide. Therefore, carrying out river carbon flux monitoring is a prerequisite for developing measures to enhance the carbon sink of the ecosystem, and it is of great significance to improve carbon management in China.

[0003] In the traditional carbon flux calculation method, the calculation of organic carbon in rivers often uses the method of field sampling monitoring. The river organic carbon, including particulate organic carbon and dissolved organic carbon, is collected, and then the collected river organic carbon is taken back to the laboratory for monitoring, and then the carbon flux is calculated. The traditional carbon flux calculation method has the technical problems of long calculation period, high cost, and unsuitability for the calculation requirements of multiple points in a large watershed. SUMMARY

[0004] To solve the above technical problems, the present application provides a river organic carbon flux monitoring method and system based on remote sensing inversion. The organic carbon concentration of the river is inverted from the remote sensing image, the cross-sectional flow of the river is measured, and the organic carbon flux of the river is calculated according to the measured results of the organic carbon concentration of the river and the cross-sectional flow of the river. The river carbon flux calculation process is short in period, low in cost, efficient, and meets the calculation requirements of multiple points in a large watershed, thereby enabling scientific, convenient, and accurate monitoring of the river carbon flux.

[0005] To achieve the above purpose, the present application is realized by the following technical solutions:

[0006] The present application provides a river organic carbon flux monitoring method based on remote sensing inversion, comprising:

[0007] inverting the organic carbon concentration of the river from the remote sensing image;

[0008] measuring the cross-sectional flow of the river;

[0009] calculating the organic carbon flux of the river according to the measured results of the organic carbon concentration of the river and the cross-sectional flow of the river.

[0010] Preferably, the inversion of the organic carbon concentration of the river from the remote sensing image comprises:

[0011] calculating a dissolved organic carbon concentration of the river;

[0012] calculating a particulate organic carbon concentration of the river;

[0013] summing the dissolved organic carbon concentration of the river and the particulate organic carbon concentration of the river to obtain an organic carbon concentration of the river.

[0014] Preferably, the measuring the cross-section flow of the river comprises monitoring the cross-section flow by the flow and suspended sediment flux of the river at a hydrological site.

[0015] Preferably, the calculating the organic carbon flux of the river according to the organic carbon concentration of the river and the measured cross-section flow of the river comprises:

[0016] obtaining the organic carbon flux of the river by the product of the cross-section flow of the river and the organic carbon concentration of the river.

[0017] Preferably, the calculating the dissolved organic carbon concentration of the river comprises:

[0018] inverting the dissolved organic carbon concentration of the river based on a multi-layer feedback neural network and a red-green band reflectance ratio.

[0019] Preferably, the calculating the particulate organic carbon concentration of the river comprises:

[0020] calculating the particulate organic carbon concentration of the river by using Lansat data and water color remote sensing method.

[0021] A river organic carbon flux monitoring system based on remote sensing inversion, applied to the river organic carbon flux monitoring method based on remote sensing inversion, comprising:

[0022] an inversion module, configured to invert an organic carbon concentration of a river by a remote sensing image;

[0023] a measurement module, configured to measure a cross-section flow of the river;

[0024] a calculation module, configured to calculate an organic carbon flux of the river according to the organic carbon concentration of the river and the measured cross-section flow of the river.

[0025] Preferably, the river organic carbon flux monitoring system based on remote sensing inversion further comprises a display panel, which is electrically connected with the inversion module, the measurement module and the calculation module respectively, and is configured to display the organic carbon concentration of the river, the dissolved organic carbon concentration of the river, the particulate organic carbon concentration of the river, the cross-section flow of the river and the organic carbon flux of the river.

[0026] Compared with the prior art, the present application has the beneficial effects that the present application provides a river organic carbon flux monitoring method and system based on remote sensing inversion, the organic carbon concentration of the river is inverted through remote sensing images, the cross-sectional flow of the river is actually measured, the organic carbon flux of the river is calculated according to the measured results of the organic carbon concentration of the river and the cross-sectional flow of the river, the river carbon flux calculation process can be short, low-cost, efficient and meet the calculation requirements of multiple points in a large watershed, and the river carbon flux can be scientifically, conveniently and accurately monitored, the past river carbon flux situation can be calculated and inverted in a large range, and the problems of long cycle, high cost and small application range caused by traditional manual field sampling and laboratory detection analysis are solved. BRIEF DESCRIPTION OF DRAWINGS

[0027] Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are for purposes of illustration only and are not intended to limit the present application thereto. Moreover, the use of the same reference symbols in different drawings indicates similar or identical items. In the drawings:

[0028] Figure 1 It is a flow chart of a river organic carbon flux monitoring method based on remote sensing inversion;

[0029] Figure 2 It is a structure block diagram of a river organic carbon flux monitoring system based on remote sensing inversion. DETAILED DESCRIPTION

[0030] Exemplary embodiments of the present disclosure will be described in detail with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided so that the present disclosure can be more thoroughly understood and the scope of the present disclosure can be accurately conveyed to those skilled in the art. It should be noted that the embodiments in the present application and the features in the embodiments can be combined with each other without conflict. The present application will be described in detail below with reference to the accompanying drawings and in conjunction with the embodiments.

[0031] As Figure 1 shown, the present application provides a river organic carbon flux monitoring method based on remote sensing inversion, comprising:

[0032] Step S101: Inverting the organic carbon concentration of the river through remote sensing images;

[0033] Step S102: Actually measuring the cross-sectional flow of the river;

[0034] Step S103: Calculating the organic carbon flux of the river through the measured results of the organic carbon concentration of the river and the cross-sectional flow of the river.

[0035] By inversing the organic carbon concentration of the river from the remote sensing image, measuring the cross-sectional flow of the river, and calculating the organic carbon flux of the river according to the measured results of the organic carbon concentration of the river and the cross-sectional flow of the river, the calculation process of the river carbon flux can be short, low-cost, efficient and meet the calculation requirements of multiple points in a large watershed, and the river carbon flux can be monitored scientifically, conveniently and accurately, and the past river carbon flux can be calculated and inversely calculated in a large range, and the problems of long cycle, high cost and small application range caused by traditional manual field sampling and laboratory detection analysis can be solved.

[0036] Further, the inversing the organic carbon concentration of the river from the remote sensing image comprises:

[0037] calculating the dissolved organic carbon concentration of the river;

[0038] calculating the particulate organic carbon concentration of the river;

[0039] summing the dissolved organic carbon concentration of the river and the particulate organic carbon concentration of the river to obtain the organic carbon concentration of the river.

[0040] Further, the measuring the cross-sectional flow of the river comprises monitoring the cross-sectional flow through the flow and suspended sediment flux of the river at the hydrological site.

[0041] Further, the calculating the organic carbon flux of the river according to the measured results of the organic carbon concentration of the river and the cross-sectional flow of the river comprises:

[0042] obtaining the organic carbon flux of the river by the product of the cross-sectional flow of the river and the organic carbon concentration of the river.

[0043] Further, the calculating the dissolved organic carbon concentration of the river comprises:

[0044] inversing the dissolved organic carbon concentration of the river based on a multi-layer feedback neural network and a red-green band reflectance ratio.

[0045] The multi-layer feedforward neural network is a single calculation layer perceptron that introduces a hidden layer (the number of hidden layers can be greater than or equal to 1) between the input layer and the output layer as the internal representation of the input mode, so that the single calculation layer perceptron becomes a multi (calculation) layer perceptron.

[0046] The dissolved organic carbon concentration of the river can be accurately calculated by the multi-layer feedback neural network and the red-green band reflectance ratio.

[0047] Further, the calculating the particulate organic carbon concentration of the river comprises:

[0048] The Lansat data and the water color remote sensing method are used to calculate the particulate organic carbon concentration of the river.

[0049] Specifically, the Lansat data is provided by a Landsat remote sensing image data service system, and the system provides the corresponding data to the user in a timely manner after the data is obtained according to the application. The user can select a model to be used from the water body information models supported by the system by means of the operation of 'calculating water body information', and submit a water body data product processing request of the corresponding data to the system. The user can view the processing of the data processing request submitted by the user in the 'user workspace', and download the water body information data product or the strip repair data product processed to the local. In the embodiment, the precision of the Lansat data is 30 meters.

[0050] The water color remote sensing method is to calculate the concentration of the particulate organic carbon of the river by means of the solar radiation transmitted into the water body, part of the energy is absorbed and converted into heat energy by the optical components such as suspended matter, chlorophyll and yellow substance in the water body and retained in the water body, and another part is scattered by the water body optical components and escapes from the water surface, that is, the water leaving reflectance signal. The water color remote sensing mainly uses the water leaving reflectance signal received by the satellite-borne or airborne sensor, and inversely obtains the concentration of the water body optical components affecting the water leaving reflectance by means of the water body biological-optical model. The basic mechanism of the water color remote sensing can be briefly described as follows: when the concentration of each important optical component in the water body changes, the optical properties of the water body will change, mainly the change of the absorption and scattering properties of the water body, and then the change of the water leaving reflectance of the water body, through the change of the signal received by the satellite sensor, one or more optical components are selected, and the useful information reflecting the content of the water body optical component is stripped, and the content of one or more important optical components in the water body, that is, the content of the suspended matter, chlorophyll and yellow substance in the water body, is inversely obtained by means of the biological-optical model.

[0051] The Lansat data and the water color remote sensing method are used to accurately calculate the particulate organic carbon concentration of the river.

[0052] As shown in Figure 2 The application further provides a river organic carbon flux monitoring system based on remote sensing inversion, which is applied to the river organic carbon flux monitoring method based on remote sensing inversion and comprises:

[0053] An inversion module 1201 is configured to inversely calculate the organic carbon concentration of the river by means of remote sensing images.

[0054] A measurement module 1202 is configured to measure the cross-section flow of the river.

[0055] A calculation module 1203 is configured to calculate the organic carbon flux of the river according to the organic carbon concentration of the river and the measurement result of the cross-section flow of the river.

[0056] Further, the system is further provided with a display panel, which is electrically connected with the inversion module 1201, the measurement module 1202 and the calculation module 1203 respectively, and is used for displaying the organic carbon concentration of the river, the dissolved organic carbon concentration of the river, the particulate organic carbon concentration of the river, the cross-sectional flow of the river and the organic carbon flux of the river, so that the user can view the data of the organic carbon concentration of the river, the dissolved organic carbon concentration of the river, the particulate organic carbon concentration of the river, the cross-sectional flow of the river and the organic carbon flux of the river in real time.

[0057] The application provides a river organic carbon flux monitoring method and system based on remote sensing inversion, which can realize the inversion of the organic carbon concentration of a river through remote sensing images, the measurement of the cross-sectional flow of the river, and the calculation of the organic carbon flux of the river according to the measured results of the organic carbon concentration of the river and the cross-sectional flow of the river, so that the river carbon flux calculation process is short in period, low in cost, efficient and meets the calculation requirements of multiple points in a large river basin, and the river carbon flux can be monitored scientifically, conveniently and accurately, the past river carbon flux can be calculated and inverted in a large range, and the problems of long period, high cost and small applicable range caused by traditional manual field sampling and laboratory detection and analysis are solved.

[0058] Obviously, various modifications and variations of this application can be made without departing from the inventive concept disclosed in the application, and it is intended that the application include modifications and variations as can come within the scope of the following claims and their equivalents.

Claims

1. A method for monitoring river organic carbon flux based on remote sensing inversion, characterized in that, include: The concentration of organic carbon in rivers can be retrieved using remote sensing images; The cross-sectional flow rate of the river was measured. The organic carbon flux of the river is calculated based on the measured results of the river's organic carbon concentration and cross-sectional flow. The organic carbon concentration of the river retrieved through remote sensing imagery includes: Calculate the dissolved organic carbon concentration of the river; Calculate the particulate organic carbon concentration of the river. The organic carbon concentration of the river is obtained by summing the dissolved organic carbon concentration and the particulate organic carbon concentration of the river. The actual measurement of the cross-sectional flow of the river includes: monitoring the cross-sectional flow by measuring the river's flow and suspended sediment flux at hydrological stations; The calculation of the organic carbon flux of the river based on the measured results of the river's organic carbon concentration and cross-sectional flow includes: The organic carbon flux of the river is obtained by multiplying the cross-sectional flow rate of the river by the organic carbon concentration of the river. The calculation of the dissolved organic carbon concentration of the river includes: The dissolved organic carbon concentration of the river was retrieved based on a multilayer feedback neural network and the red-green band reflectance ratio. The calculation of the particulate organic carbon concentration of the river includes: The concentration of particulate organic carbon in the river was calculated using Lansat data and water color remote sensing.

2. A river organic carbon flux monitoring system based on remote sensing inversion, applied to the river organic carbon flux monitoring method based on remote sensing inversion as described in claim 1, characterized in that, include: The inversion module is used to invert the organic carbon concentration of rivers using remote sensing images; The measurement module is used to measure the cross-sectional flow of the river. The calculation module is used to calculate the organic carbon flux of the river based on the measured results of the river's organic carbon concentration and the river's cross-sectional flow.

3. A river organic carbon flux monitoring system based on remote sensing inversion according to claim 2, characterized in that, The system is also equipped with a display panel, which is electrically connected to the inversion module, the measurement module and the calculation module respectively. The display panel is used to display the organic carbon concentration, dissolved organic carbon concentration, particulate organic carbon concentration, cross-sectional flow and organic carbon flux of the river.

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