CN110955973A - Nitrate transport probability assessment method, storage medium and electronic equipment - Google Patents
Nitrate transport probability assessment method, storage medium and electronic equipment Download PDFInfo
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Abstract
The invention discloses a nitrate transport probability assessment method, a storage medium and electronic equipment, wherein the method comprises the following steps: acquiring geographic condition description data of the space unit, wherein the geographic condition description data comprises hydrologic communication data; acquiring hydrologic connectivity probability of the space unit according to the hydrologic connectivity data; and acquiring the nitrate supply probability and the nitrate buffering probability of the space unit, and substituting the hydrologic communication probability, the nitrate supply probability and the nitrate buffering probability into a set nitrate transport probability evaluation model to acquire the nitrate transport probability. By adopting the technical scheme of the embodiment of the invention, the nitrate transport probability of different soil textures and land utilization conditions can be effectively evaluated, and the quantitative research on the nitrate transport probability is realized, so that a basis is provided for effectively controlling the output quantity of the nitrate, the regulation and control accuracy of the output quantity of the nitrate is improved, and the method has great significance for improving the environment and treating pollution.
Description
Technical Field
The invention relates to the technical field of substance transport simulation, in particular to a nitrate transport probability evaluation method, a storage medium and electronic equipment.
Background
The existing data show that the results of comparative analysis on the surface water nitrate pollution conditions, preventive measures and treatment methods at home and abroad show that the surface water nitrate pollution is ubiquitous, and the pollution formation reasons are mainly nitrogen fertilizer application, livestock and poultry manure discharge and sewage irrigation. It is well known that nitrate, a form of nitrogen, once enriched in surface water, causes excessive algae growth and a reduction in dissolved oxygen, leading to fish death, and poses other threats to aquatic animals and plants. If the concentration of active nitrate in drinking water is too high, spontaneous abortion of pregnant women and methemoglobinemia of infants can be caused, and the risk of bladder cancer and ovarian cancer is increased. Therefore, ecological scientists in various countries around the world are dedicated to research and effectively reduce the output of nitrate so as to control non-point source pollution and expect to obtain environmental control. However, the quantitative research on the transport probability in the source-sink process of nitrate is still blank at present.
Disclosure of Invention
The following is a summary of the subject matter described in detail herein. This summary is not intended to limit the scope of the claims.
The embodiment of the invention provides a nitrate transport probability assessment method, a storage medium and electronic equipment, which are used for assessing nitrate transport probabilities under different geological conditions, so that a basis is provided for effectively controlling the output quantity of nitrate.
In order to achieve the above object, an embodiment of the present invention provides a method for evaluating a transport probability of nitrate, the method including:
acquiring geographic condition description data of the space unit, wherein the geographic condition description data comprises hydrologic communication data;
acquiring hydrologic connectivity probability of the space unit according to the hydrologic connectivity data;
and acquiring the nitrate supply probability and the nitrate buffering probability of the space unit, and substituting the hydrologic communication probability, the nitrate supply probability and the nitrate buffering probability into a set nitrate transport probability evaluation model to acquire the nitrate transport probability.
Optionally, the nitrate transport probability model is:
P(C)＝P(S)∩P(TH)∩{1-P(B)}
wherein P (C) represents the transport probability of nitrate, P (S) represents the supply probability of nitrate, S represents the source of nitrate, and P (T)H) Representing the probability of hydrologic connectivity, THIndicates the hydrological transport, P (B) indicates the nitrate buffering probability, and B indicates buffering.
Optionally, obtaining the nitrate supply probability of the space unit comprises:
segmenting the interior of each space unit, taking each space unit as a group of discrete segments, obtaining the nitrate supply probability of each segment in the space unit, and obtaining the nitrate supply probability of each space unit according to the nitrate supply probabilities of all the segments in one space unit.
Optionally, the nitrate supply probability includes:
the landscape with nitrate source, the landscape with dynamic source and the landscape without nitrate source.
Optionally, obtaining the hydrologic connectivity probability of the space unit according to the hydrologic connectivity data includes:
let Pi(TH)＝{β，γ，α，L，D，}；
Wherein, Pi(TH) The hydrologic connectivity probability is expressed and is related to the line point rate β, the connectivity gamma, the circularity α, the transit distance L and the canal density D:
D＝L/A
β＝M/V
γ＝N/Lmax
α ═ L-V +1)/(2V-5) (V ≧ 3, V ∈ N natural number)
Wherein D represents the density of the canal and is the ratio of the length of the river to the area of the river basin, β represents the line point rate which is the average number of the connecting lines of each node in the irrigation and drainage system network of each landscape unit, the node is the intersection point, the starting point or the end point in the network, gamma represents the communication rate which is the degree of all the intersection points in the irrigation and drainage network system connected by the canal, α represents the degree of the ring which is the ring line which can provide the selective route for the material flow in the irrigation and drainage system connecting network, M represents the number of the connecting lines, N represents the number of the connecting canals, V represents the number of the nodes, A represents the area of the river basin, and Lmax represents the maximum possible number of the connecting lines.
Optionally, obtaining the nitrate buffering probability of the spatial unit comprises: the buffer probability is 100%, the buffer probability is 0-100%, and the buffer is not available.
Alternatively, the nitrate buffering probability of the spatial unit is calculated from a model GRAPH describing the behavior of nitrate in the buffer zone.
An embodiment of the present invention further provides an electronic device, including: a processor and a memory, the memory storing computer-executable instructions that, when executed by the processor, implement the nitrate transport probability assessment method described above.
The embodiment of the invention also provides a computer readable storage medium, wherein a computer program is stored on the computer readable storage medium, and when the computer program is executed, the method for evaluating the transport probability of the nitrate is realized.
Compared with the prior art, the nitrate transport probability assessment method, the storage medium and the electronic equipment provided by the embodiment of the invention provide the nitrate transport probability model based on the hydrologic connectivity, the transport formula is combined with the hydrologic connectivity by using high-resolution spatial data, the space complexity limit is overcome, the substance behavior simulation is promoted, and the optimization of the transport probability model based on the connectivity is promoted by simulating the time-space background of the substance. By adopting the technical scheme of the embodiment of the invention, the nitrate transport probability of different soil textures and land utilization conditions can be effectively evaluated, and the quantitative research on the nitrate transport probability is realized, so that a basis is provided for effectively controlling the output quantity of the nitrate, the regulation and control accuracy of the output quantity of the nitrate is improved, and the method has great significance for improving the environment and treating pollution.
Other aspects will be apparent upon reading and understanding the attached drawings and detailed description.
Drawings
The accompanying drawings are included to provide a further understanding of the claimed subject matter and are incorporated in and constitute a part of this specification, illustrate embodiments of the subject matter and together with the description serve to explain the principles of the subject matter and not to limit the subject matter. In the drawings:
FIG. 1 is a flow chart of an alternative nitrate transport probability assessment method that implements an embodiment of the invention.
FIG. 2 is a schematic diagram of a model for estimating transport probability of nitrate according to an embodiment of the present invention.
Fig. 3 is a schematic view of an application scenario of an application example of the present invention.
The implementation, functional features and advantages of the objectives of the present application will be further explained with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
The concept of hydrologic connectivity is mentioned in this application. The narrow concept of hydrologic connectivity refers to the degree of convenience in transporting water-mediated substances within a watershed landscape or plaque (inter-plaque). Hydrologic communication is a key index for reflecting the ecological process, the storage and discharge capacity and the restoration effect of basin water, and is also an important way for solving the water problem in China.
In the embodiment of the invention, considering landscape heterogeneity, randomness of hydrologic communication and heterogeneity of topographic distribution, the inventor considers that the probability model is a promising quantitative method for simulating connectivity and solving the problem of material transportation. Embodiments of the invention overcome spatial complexity limitations and advance material behavior simulation by combining transport formulas with hydrological connectivity using high-resolution spatial data.
The embodiment of the invention expands the nitrate transport theory of hydrologic communication by establishing a probability framework. In the present example, hydrological connectivity, nitrate transport pathways, and flux simulations were integrated based on high resolution geospatial data, field surveys, meteorological inputs and water balance, nitrate process mechanisms. (the nitrate transport path refers to the circulation process of nitrate by means of a water system river network, and the flux can be regarded as the product of water flow speed and nitrate concentration), a coupled nitrate source-sink landscape is developed (the source-sink landscape theory is based on the ecological balance theory in ecology, and from the core pattern and process of the landscape ecology research, the conventional landscape is endowed with a certain process meaning, and the path and the method which are favorable for regulating and controlling the ecological process are discussed by analyzing the space balance of the source-sink landscape, the source landscape of the nitrate can be understood as the output landscape of the nitrate, such as farmlands after fertilization, wastewater discharge points and the like, and the sink landscape can be understood as the input landscape of the nitrate, such as rivers, drainage channels and the like which are the runoff import landscape of the nitrate, and a cross probability model of the nitrate transport and buffer process. In the present example, a Bayesian method was used to process the probability of nitrate transport for each spatial unit.
The technical solution in the embodiments of the present invention is described in detail below with reference to the accompanying drawings.
Referring to fig. 1, a flow chart of a method for evaluating the transport probability of nitrate according to an embodiment of the present invention is shown. The method comprises the following steps:
102, acquiring hydrologic connectivity probability of the space unit according to the hydrologic connectivity data;
and 103, acquiring the nitrate supply probability and the nitrate buffering probability of the space unit, and substituting the hydrologic communication probability, the nitrate supply probability and the nitrate buffering probability into a set nitrate transport probability evaluation model to acquire the nitrate transport probability.
In the embodiment of the invention, each landscape unit is used as a space unit.
Referring to FIG. 2, the probability model of nitrate transport for each landscape unit is:
P(C)＝P(S)∩P(TH)∩{1-P(B)}
wherein P (C) represents the transport probability of nitrate, P (S) represents the supply probability of nitrate, S represents the source of nitrate, and P (T)H) Representing the probability of hydrologic connectivity, PHIndicates the hydrological transport, P (B) indicates the nitrate buffering probability, and B indicates buffering. The sources of the nitrates are influenced by point sources and surface sources, hydrologic transportation is related to regional climate and topography, the buffer area is related to vegetation coverage and vegetation types, and the numerical difference in a single landscape unit is large; taking the lake basin as an example, Zhang Weili indicates that the farmland pollution is general to the Taihu lake basinThe nitrogen contribution rate is 29 percent, the livestock and poultry industry is 23 percent, the industrial and urban living points are 17 percent, and the urban and rural union and the countryside respectively contribute 21 percent and 10 percent; researches of various publications reveal that the average connectivity of each water conservancy partition of the Taihu lake basin is 0.039-0.089, and the average structure connectivity probability is 45.9%; the buffering probability of the ecological buffer zone of the farmland buffer zone to the nitrate of the river water body is 53 percent and 29 percent respectively.
Wherein obtaining the nitrate supply probability of the space unit comprises:
segmenting the interior of each space unit, taking each space unit as a group of discrete segments, obtaining the nitrate supply probability of each segment in the space unit, and estimating the nitrate supply probability of each space unit according to the nitrate supply probabilities of all segments in one space unit.
Taking fig. 3 as an example, each branch flow (1-4) of the water system can be regarded as a space unit, the land utilization conditions in the space units 1-4 are segmented respectively, and the nitrate supply conditions in different segments are obtained by means of investigation, sampling, reference of documents and the like and are converted into data organized by a computer system. The probability of nitrate for each space unit, and thus the probability of supply for space unit 5, can be obtained by adding the total probabilities for different segments.
In this embodiment, the nitrate supply probability includes three kinds:
wherein i represents a different spatial unit, Pi(S) the value of the source landscape, wherein the nitrate source landscape comprises an agricultural production area, a livestock and poultry breeding area and a residential living area, the nitrate-free source landscape is mainly a wasteland without human activities, and the dynamic source landscape is an intermittent artificial activity area such as a grazing area. Such as 1-4 in fig. 3.
Referring to fig. 2, in the embodiment of the present invention, the acquiring geographic description data of the spatial unit in step 101 includes: geographic information data is acquired through a Geographic Information System (GIS), acquired through various ways such as field investigation, maps, remote sensing, environmental monitoring and social and economic statistics, acquired by an information acquisition mechanism or device and converted into data organized by a computer system. In this embodiment, the data may also be obtained through field evaluation of connectivity and diversity, or the geographic description data of the spatial units may be obtained by collecting the hydrometeorological data, or collecting the continuous hydrographic (dynamic hydrographic connectivity) data, and converted into data organized by the computer system.
In this embodiment, obtaining the hydrologic connectivity probability of the space unit according to the hydrologic connectivity data includes:
let Pi(TH)＝{β，γ，α，L，D，}；
Wherein, Pi(TH) The hydrologic communication probability is related to the line point rate β, the communication rate gamma, the ring degree α, the transportation distance L and the density D of the canal.
D＝L/A
β＝M/V
γ＝N/Lmax
α ═ M-V +1)/(2V-5) (V ≧ 3, V ∈ N; natural number)
Wherein β represents the line point rate, which is the average number of connected nodes in the irrigation and drainage system network of each landscape unit, the nodes are the cross points, the starting points or the end points in the network, gamma represents the communication rate, which is the degree of connecting all the cross points in the irrigation and drainage network system by the rivers (canals), which is the important characteristic of the network, α represents the ring degree, which is the ring line that can provide selective routes for the logistics in the irrigation and drainage system connection network, L represents the transportation distance, A represents the flow field area, M represents the number of the connected lines, N represents the number of the connected canals, V represents the number of nodes, D represents the density of the canals, and Lmax represents the maximum possible number of the connected canals.
In this example, obtaining the nitrate buffering probability for the spatial unit comprises:
the buffer zone refers to various vegetation zones established on the coastwise or farmland edge of rivers, lakes and streams, and the buffer probability P of the zonei(B) Depending on the nitrate content of the pollution source, the distance from the field, the location of the receiving water and the relative area to the field, a calculation can be made from a model describing the behavior of nitrate in the buffer zone (GRAPH) (Yuet al, 2019 a).
Advection, osmosis, adsorption-desorption and plant absorption of nitrates during transport are considered. According to the principle of conservation of mass, the dynamic equilibrium relationship of nitrate is described, the loss process of nitrate in farmland is revealed, and a control equation providing a basis for estimating the transport quantity of nitrate can be written as follows:
wherein y is water depth; c is the dissolved nitrate concentration; f is the permeability; q is the radial flow discharge per unit channel width; s is the concentration of the deposit bound form; x is adsorption on the deposit; y is rainfall input; z is nutrient exchange with the terrestrial surface; x is the distance from the body of water.
The discretized results for each landscape square are then integrated using MATLAB to provide a continuous distribution function that is applicable to the entire area of interest. F represents the nitrate transport amount in the water system river network of the research area, and i represents different space units.
Evaluating the transport of nitrate on the spatial heterogeneous landscape in different seasons and under different rain intensities from a dynamic angle, and disclosing a mechanism for regulating and controlling the nitrate by hydrologic communication of the agricultural landscape.
The technical solution of the present invention is exemplified by the examples in the specific applications below.
And extracting river network water systems in the research area through remote sensing images, a Digital Elevation Model (DEM) and other data to obtain data such as river basin area, gradient, land utilization mode and the like. Taking the space unit 5 of fig. 3 as an example, assume that the watershed area is 100Km2, the forest land is 40%, the agricultural land is 30%, the residential land is 20%, the grass land is 10%, and the average slope is 20 degrees. Wherein the agricultural land and residential area are nitrate 'source' landscape accounting for 50%, the forest land and grassland are 'non-source' landscape and accounting for 50% of the buffer zone.
Acquiring meteorological data of a research area, wherein the minimum temperature is 1 ℃ and the maximum temperature is 34 ℃ for many years, the average rainfall is 750mm for many years, and the meteorological data are positioned in a temperate humid climate area; the soil texture is moist soil, and the infiltration rate is 20 cm. Calculating the rainfall runoff for the single precipitation time, the precipitation amount, the wind power and the like; and (4) sampling in the field to obtain nitrate transport flux data, and converting the data into data organized by a computer system. And selecting a model suitable for the region to calculate hydrological connectivity, soil erosion rate and annual net flow. Parameters are obtained through remote sensing observation and field investigation:
V＝30；
β＝24/30＝0.8；
γ＝25.2/(3*(30-2))＝0.3；
α＝24-30+1/(2*30-5)＝-0.09；
D＝30/100＝0.3Km/Km2
calculating hydrological connectivity probability P (T) after precipitation by using correlation model formulaH)＝60％。
Under an ideal condition, the model is used for calculating that in the 'source' landscape, the transport probability of the nitrate in the agricultural land is the highest and is 55 percent, and the residential area accounts for 45 percent; after passing through the buffer zone, the migration probability is 60 percent, namely 1-P (B) is 60 percent;
agricultural nitrate transport probability P (C) 55% 60% 19.8%
The transport probability of nitrate in residential area P (C) is 45%. 60%. 16.2%
If the region contributes 100kg of nitrate to the ocean every year, the agricultural land and the residential area are 19.8kg and 16.2kg respectively, and the rest are industrial or natural factors.
An embodiment of the present invention further provides an electronic device, including: a processor and a memory, the memory storing computer-executable instructions that, when executed by the processor, implement the nitrate transport probability assessment method described above.
In addition, the embodiment of the invention also provides a computer-readable storage medium, which stores computer-executable instructions, and the computer-executable instructions can be executed to realize the nitrate transport probability assessment method.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which is stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal device (such as a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method according to the embodiments of the present invention.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (9)
1. A method for evaluating the transport probability of nitrate, comprising:
acquiring geographic condition description data of the space unit, wherein the geographic condition description data comprises hydrologic communication data;
acquiring hydrologic connectivity probability of the space unit according to the hydrologic connectivity data;
and acquiring the nitrate supply probability and the nitrate buffering probability of the space unit, and substituting the hydrologic communication probability, the nitrate supply probability and the nitrate buffering probability into a set nitrate transport probability evaluation model to acquire the nitrate transport probability.
2. The method of claim 1, wherein the probability model of nitrate transport is:
P(C)＝P(S)∩P(TH)∩{1-P(B)}
wherein P (C) represents the transport probability of nitrate, P (S) represents the supply probability of nitrate, S represents the source of nitrate, and P (T)H) Representing the probability of hydrologic connectivity, THIndicates the hydrological transport, P (B) indicates the nitrate buffering probability, and B indicates buffering.
3. The method of claim 1, wherein obtaining the probability of nitrate supply to the space cell comprises:
segmenting the interior of each space unit, taking each space unit as a group of discrete segments, obtaining the nitrate supply probability of each segment in the space unit, and obtaining the nitrate supply probability of each space unit according to the nitrate supply probabilities of all the segments in one space unit.
4. The method of claim 3, wherein the nitrate supply probability comprises:
the landscape with nitrate source, the landscape with dynamic source and the landscape without nitrate source.
5. The method of claim 1, wherein obtaining the hydrologic connectivity probability for the spatial cell from the hydrologic connectivity data comprises:
let Pi(TH)＝{β，γ，α，L，D，}；
Wherein, Pi(TH) The hydrologic connectivity probability is expressed and is related to the line point rate β, the connectivity gamma, the circularity α, the transit distance L and the canal density D:
D＝L/A
β＝M/V
γ＝N/Lmax
α ═ L-V +1)/(2V-5) (V.gtoreq.3, V. epsilon.N: natural number)
Wherein D represents the density of the canal and is the ratio of the length of the river to the area of the river basin, β represents the line point rate which is the average number of the connecting lines of each node in the irrigation and drainage system network of each landscape unit, the node is the intersection point, the starting point or the end point in the network, gamma represents the communication rate which is the degree of all the intersection points in the irrigation and drainage network system connected by the canal, α represents the degree of the ring which is the ring line which can provide the selective route for the material flow in the irrigation and drainage system connecting network, M represents the number of the connecting lines, N represents the number of the connecting canals, V represents the number of the nodes, A represents the area of the river basin, and Lmax represents the maximum possible number of the connecting lines.
6. The method of claim 1, wherein obtaining the nitrate buffering probability for the spatial unit comprises: the buffer probability is 100%, the buffer probability is 0-100%, and the buffer is not available.
7. The method according to claim 1 or 6,
the nitrate buffering probability of the spatial cell is calculated from a model GRAPH describing the behavior of nitrate in the buffer zone.
8. An electronic device, comprising: a processor and a memory, wherein the memory stores computer-executable instructions that, when executed by the processor, implement the nitrate transport probability assessment method of any of claims 1 to 7.
9. A computer-readable storage medium, characterized in that a computer program is stored thereon, which when executed, implements the nitrate transport probability assessment method according to any one of claims 1 to 7.
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