CN115712813B - Method and device for determining pollution load output coefficient of non-point source and electronic equipment - Google Patents
Method and device for determining pollution load output coefficient of non-point source and electronic equipment Download PDFInfo
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Abstract
The application provides a method and a device for determining pollution load output coefficients of non-point sources and electronic equipment, wherein the method comprises the following steps: fitting the relation between the rainfall and the pollution load according to the measured data of the outlet of the target river basin to obtain a response relation between the rainfall and the pollution load; for each time period obtained by dividing according to a target time scale, determining the pollution load quantity of the time period according to the accumulated rainfall and the response relation of the target river basin in the time period, and determining the increment of the pollution load quantity of the time period relative to the unit area of the pollution load quantity background value; and determining the pollution load output coefficient of each land use type of the target river basin according to the initial pollution load output coefficients of all land use types of the target river basin and the unit area increment corresponding to each time period of the target river basin. Therefore, the pollution load output coefficient can be thinned, and the non-point source pollution treatment is facilitated.
Description
Technical Field
The application relates to the technical field of environmental management, in particular to a method and a device for determining a pollution load output coefficient of a non-point source and electronic equipment.
Background
Non-point source pollution control is an important task for improving regional water environment quality. The non-point source pollution load is determined on the premise of non-point source pollution treatment, and the non-point source pollution load of the river basin is generally calculated by adopting an output coefficient model.
In the related technology, the pollution load output coefficient is calculated by taking a year as a unit, and the annual pollution load quantity is obtained by calculating an output coefficient model, which is not fine enough on a time scale and is not beneficial to the accurate treatment of regional non-point source pollution.
Disclosure of Invention
According to an aspect of the present application, there is provided a method of determining a pollution load output coefficient of a non-point source, comprising:
fitting the relation between the rainfall and the pollution load according to the measured data of the outlet of the target river basin to obtain a response relation between the rainfall and the pollution load;
for each time period obtained by dividing according to a target time scale, determining the pollution load of the time period according to the accumulated rainfall and the response relation of the target river basin in the time period, and determining the unit area increment of the pollution load of the time period relative to the pollution load background value, wherein the unit area increment corresponding to the time period represents the total unit area pollution load of the non-point source of the target river basin in the time period;
and determining the pollution load output coefficient of each land use type of the target river basin according to the initial pollution load output coefficients of all land use types of the target river basin and the unit area increment corresponding to each time period of the target river basin.
In some embodiments, for each land use type of the target basin, determining the pollution load output coefficient of the land use type in each time period according to the initial pollution load output coefficients of all land use types of the target basin and the corresponding unit area increment of the target basin in each time period comprises:
for each land use type of the target river basin,
determining the proportion of the initial pollution load output coefficient of the land use type to the total initial pollution load output coefficient of the target river basin according to the initial pollution load output coefficients of all land use types of the target river basin;
and determining the pollution load output coefficient of the land utilization type in each time period according to the proportion of the land utilization type and the increment of the unit area corresponding to the target river basin in each time period.
In some embodiments, the pollution load output coefficient of any land use type over each time period is proportional to the above-described proportion of that land use type.
In some embodiments, the pollution load output coefficient for any land use type over various time periods is determined as follows:
E ij ＝ΔL j *E i /E 0 ；
wherein E is ij Represents the pollution load output coefficient, deltaL, of the ith land use type in the time period j j Representing the increment of the unit area of the target river basin in the time period j, E i An initial pollution load output coefficient indicating the ith land use type, E 0 Representing the total initial pollution load output coefficient of the target river basin.
In some embodiments, fitting the relationship between the rainfall and the pollution load according to the measured data of the outlet of the target river basin to obtain a response relationship between the rainfall and the pollution load, including: and performing Logistic function fitting according to the measured data of the outlet of the target river basin to obtain a Logistic function between the rainfall capacity and the pollution load capacity of the target river basin.
In some embodiments, the Logistic function is expressed as:
wherein p represents the rainfall, and L (p) represents the pollution load when the rainfall is p; l (L) 0 Indicating initial pollution load, L max Representing the maximum pollution load, r being the potential index of pollution load increase; wherein L is 0 、L max And r is obtained from the measured data.
In some embodiments, further comprising: will L 0 As a pollution load background value.
In some embodiments, further comprising: and determining a pollution load background value according to the pollution load of the non-rainfall time.
According to another aspect of the present application, there is provided an apparatus for determining a pollution load output coefficient of a non-point source, comprising:
the fitting module is used for fitting the relationship between the rainfall and the pollution load according to the measured data of the outlet of the target river basin to obtain the response relationship between the rainfall and the pollution load;
the first determining module is used for determining the pollution load quantity of each time period according to the accumulated rainfall and the response relation of the target river basin in the time period and determining the unit area increment of the pollution load quantity of the time period relative to the pollution load quantity background value, wherein the unit area increment corresponding to the time period represents the total unit area pollution load quantity of the non-point source of the target river basin in the time period;
the second determining module is used for determining the pollution load output coefficient of each land use type of the target river basin according to the initial pollution load output coefficients of all land use types of the target river basin and the unit area increment corresponding to each time period of the target river basin.
In some embodiments, the second determining module is configured to determine, for each land use type of the target river basin, a proportion of the initial pollution load output coefficient of the land use type to a total initial pollution load output coefficient of the target river basin according to the initial pollution load output coefficients of all land use types of the target river basin; and determining the pollution load output coefficient of the land utilization type in each time period according to the proportion of the land utilization type and the increment of the unit area corresponding to the target river basin in each time period.
In some embodiments, the pollution load output coefficient of any land use type over each time period is proportional to the ratio of the initial pollution load output coefficient of that land use type to the total initial pollution load output coefficient of the target basin.
In some embodiments, the second determining module is configured to determine the pollution load output coefficient of any land use type over each time period in the following manner:
E ij ＝ΔL j *E i /E 0 ；
wherein E is ij Represents the pollution load output coefficient, deltaL, of the ith land use type in the time period j j Representing the increment of the unit area of the target river basin in the time period j, E i An initial pollution load output coefficient indicating the ith land use type, E 0 Representing the total initial pollution load output coefficient of the target river basin.
In some embodiments, the fitting module is configured to perform Logistic function fitting according to measured data of the outlet of the target river basin, so as to obtain a Logistic function between the rainfall capacity and the pollution load capacity of the target river basin.
In some embodiments, the Logistic function is expressed as:
wherein p represents the rainfall, and L (p) represents the pollution load when the rainfall is p; l (L) 0 Indicating initial pollution load, L max Representing the maximum pollution load, r being the potential index of pollution load increase; wherein L is 0 、L max And r is obtained from the measured data.
In some embodiments, a first determining module is configured to determine L 0 As a pollution load background value.
In some embodiments, the first determining module is configured to determine a pollution load background value based on the pollution load at the non-rainfall time.
In some embodiments, the measured data includes rainfall data and pollution load data.
According to another aspect of the present application, there is provided an electronic device including: a processor; and a memory storing a program, wherein the program comprises instructions that when executed by the processor cause the processor to perform the method of embodiments of the present application.
According to another aspect of the present application, there is provided a non-transitory computer-readable storage medium storing computer instructions for causing a computer to perform the method of the embodiments of the present application.
According to one or more technical schemes provided by the embodiment of the application, the response relation between the rainfall and the pollution load is obtained by fitting according to the measured data of the outlet of the target river basin, the pollution load of each time period is determined according to the accumulated rainfall and the response relation of the time period, and the increment of the pollution load of the time period relative to the unit area of the background value of the pollution load is determined, so that the total unit area pollution load of the non-point source of the target river basin in the time period is obtained; for each land use type of the target river basin, determining the pollution load output coefficient of the land use type in each time period according to the initial pollution load output coefficients of all land use types of the target river basin and the corresponding unit area increment of the target river basin in each time period, namely the pollution load output coefficient of a non-point source of the land use type in each time period. Therefore, the pollution load output coefficient can be refined based on the rainfall, and further the pollution load quantity of a finer time scale can be determined, so that the accurate treatment of non-point source pollution is facilitated.
Drawings
Further details, features and advantages of the present application are disclosed in the following description of exemplary embodiments, with reference to the following drawings, wherein:
FIG. 1 illustrates a flow chart of a method of determining pollution load output coefficients of non-point sources according to an embodiment of the present application;
FIG. 2 shows a schematic diagram of a Logistic curve according to an embodiment of the present application;
FIG. 3 shows a schematic block diagram of an apparatus for determining pollution load output coefficients of non-point sources according to an embodiment of the present application;
fig. 4 shows a block diagram of an exemplary electronic device that can be used to implement embodiments of the present application.
Detailed Description
Embodiments of the present application will be described in more detail below with reference to the accompanying drawings. While certain embodiments of the present application are shown in the drawings, it is to be understood that the present application may be embodied in various forms and should not be construed as limited to the embodiments set forth herein, but rather are provided to provide a more thorough and complete understanding of the present application. It should be understood that the drawings and examples of the present application are for illustrative purposes only and are not intended to limit the scope of the present application.
It should be understood that the various steps recited in the method embodiments of the present application may be performed in a different order and/or performed in parallel. Furthermore, method embodiments may include additional steps and/or omit performing the illustrated steps. The scope of the present application is not limited in this respect.
The term "including" and variations thereof as used herein are intended to be open-ended, i.e., including, but not limited to. The term "based on" is based at least in part on. The term "one embodiment" means "at least one embodiment"; the term "another embodiment" means "at least one additional embodiment"; the term "some embodiments" means "at least some embodiments. Related definitions of other terms will be given in the description below. It should be noted that the terms "first," "second," and the like herein are merely used for distinguishing between different devices, modules, or units and not for limiting the order or interdependence of the functions performed by such devices, modules, or units.
It should be noted that references to "one" or "a plurality" in this application are intended to be illustrative rather than limiting, and those of ordinary skill in the art will appreciate that "one or more" is intended to be interpreted as "one or more" unless the context clearly indicates otherwise.
The names of messages or information interacted between the various devices in the embodiments of the present application are for illustrative purposes only and are not intended to limit the scope of such messages or information.
The upstream area of the river basin is an important source for water quality assurance. For upstream areas, the pollution load mainly originates from non-point sources, the non-point source pollution load has the characteristics of difficult monitoring, complex generation mechanism, uncertainty and the like, the output coefficient method is used as a method for evaluating the non-point source pollution load of an area at present, but the output coefficient of the pollution source is generally a value determined by taking a year as a unit, the non-point source pollution load calculated based on the output coefficient method is also calculated by taking a year as a unit of time, and the pollution load estimation of a finer time scale of a small river basin has limitation.
Under the natural condition of an upstream small river basin, non-point source pollution load mainly comes from different land utilization types of the underlying surface, and part of pollutants are wrapped and entrained into the river in the process of rainfall runoff flushing. The runoff generation process is generated when the rainfall reaches a certain degree, and is related to the hydrologic soil conditions of different flow domains. The process mainly occurs in the water-rich period, and the rainfall is large. Non-point source pollution is the main cause of regional pollution load.
In the embodiment of the application, a synchronous monitoring method of rainfall and pollution load in the pollution load generation process is adopted, a response relation between the rainfall and the pollution load is established, and the relation between the pollution load and the rainfall is clear. The response relation is utilized to improve the output coefficient of the annual pollution load quantity of the small watershed, define the pollution load quantity of finer time scale in the year, improve the output coefficients of different underlying land utilization types and realize the refinement and improvement of the non-point source pollution load output coefficient. Providing a tool for refining accounting of non-point source pollution load.
Aspects of the present application are described below with reference to the accompanying drawings. Embodiments of the present description may run on any device with computing and storage capabilities, such as cell phones, tablet computers, PCs (Personal Computer, personal computers), notebooks, servers, etc.; the functions in the embodiments of the present description may also be implemented by logical nodes running on two or more devices. The device may act as a client or server.
The embodiment of the application provides a method for determining a pollution load output coefficient of a non-point source.
Fig. 1 shows a flowchart of a method of determining a pollution load output coefficient of a non-point source according to an embodiment of the present application, and the method includes steps S101 to S103 as shown in fig. 1.
And step S101, fitting the relation between the rainfall and the pollution load according to the measured data of the outlet of the target river basin to obtain the response relation between the rainfall and the pollution load.
Rainfall runoff has a response relationship to annual changes of the pollutant concentration, the pollutant concentration in the flood season is generally higher, and the rainfall flood period in the summer flood season is the midnight period of pollution load output. In the dead water period, the pollution load is an initial value, the pollution load increases along with the increase of the rainfall, and the pollution load is basically unchanged after the rainfall increases to a certain degree. Therefore, in the embodiment of the application, the response relationship between the rainfall and the pollution load is a Logistic function, so as to form a Logistic curve.
The following describes the response relationship between rainfall and pollution load as a Logistic function.
In step S101, a Logistic function fitting is performed according to the measured data of the outlet of the target river basin, so as to obtain a Logistic function between the rainfall and pollution load of the target river basin. As one embodiment, the measured data of the target river basin outlet includes rainfall data and pollution load data. The pollution load data may be actually measured, or may be calculated from flow data and water quality data, which is not limited in this embodiment.
As one embodiment, the Logistic function is expressed as:
wherein p represents the rainfall, and L (p) represents the pollution load when the rainfall is p; l (L) 0 Indicating initial pollution load, L max Representing the maximum pollution load, r being the potential index of pollution load increase; wherein L is 0 、L max And r is obtained from the rainfall data and pollution load data.
In the present embodiment, the rainfall and the corresponding pollution load are knownIn the case, the parameter L in Logistic can be obtained by fitting 0 、L max And r. The fitting method may include, but is not limited to, known techniques prior to the filing date of the present application, and detailed descriptions of the embodiments of the present application are omitted.
FIG. 2 is a schematic diagram of a Logistic curve according to an embodiment of the present application, as shown in FIG. 2, when the rainfall is small, the flow and water quality changes are not obvious, and the pollution load approaches the pollution load background value L 0 The method comprises the steps of carrying out a first treatment on the surface of the When the rainfall gradually increases, the first critical value P of the rainfall is reached 1 Firstly, generating runoff to brush the lower pad surface and wrapping pollutants into the river, wherein the flow and the water quality change to a certain extent, and the pollution load is gradually increased; when the rainfall increases to the second critical value P 2 When the water quality changes, the water quality changes show a stable trend, the pollution load increasing trend and the change amplitude gradually become smaller, and the pollution load maximum value L is reached max 。
Step S102, for each time period obtained by dividing according to the target time scale, determining the pollution load quantity of the time period according to the accumulated rainfall quantity and the response relation of the target river basin in the time period, and determining the unit area increment of the pollution load quantity of the time period relative to the background value of the pollution load quantity, wherein the unit area increment corresponding to the time period represents the total unit area pollution load quantity of the non-point source of the target river basin in the time period.
The pollution load background value refers to the water quality components, contents and conditions of the water body which are not obviously and directly polluted. Reflecting the original components and characteristics, namely the original state, of the water quality in the process of existence and development in the nature, and being a control value of water pollution. In the embodiment of the application, due to L 0 Approximating the pollution load background value, so that L can be used as the above 0 As a pollution load background value. The pollution load background value can also be determined according to the pollution load of the non-rainfall time. This embodiment is not limited thereto.
As the amount of rainfall increases, as shown in fig. 2, the pollution load increases, and the pollution load L (p) at the rainfall p includes the pollution load background value (i.e., the water quality component, content and condition that the water body has not been obviously and directly polluted) and the pollution load of the non-point source (the pollution load caused by the rainfall generating runoff flushing the underlying surface and the pollutant entering the river). Thus, for any time period, an increase in the amount of pollution load for that time period relative to the background value of the amount of pollution load represents the amount of pollution load for the non-point source during that time period.
In this embodiment of the present application, in step S102, the increment of the pollution load amount in any period of time relative to the unit area of the pollution load amount background value refers to the total unit area pollution load amount of all land utilization types of the target river basin in the period of time.
In this embodiment of the present application, for a time period obtained by dividing according to a time scale, the pollution load amount of the time period is determined according to the accumulated rainfall amount of the time period and the response relation of the embodiment, and the increment of the pollution load amount of the time period relative to the unit area of the pollution load amount background value is determined. Thus, the total unit area pollution load of the non-point source (all land utilization types) of the target river basin in the time period is obtained.
In the embodiment of the application, the accumulated rainfall in any period of time may be the historical rainfall of the target river basin. As one example, the cumulative rainfall for any period of time is determined based on the rainfall for one or more years of the target basin history.
Step S103, determining the pollution load output coefficient of each land use type of the target river basin according to the initial pollution load output coefficients of all land use types of the target river basin and the unit area increment corresponding to each time period of the target river basin.
The unit area increment of any time period determined in step S102 is the total unit area pollution load of all land utilization types of the target river basin in the non-point source of the time period.
Because the increment corresponding to each time period is the total pollution load of the non-point source of the target river basin, the increment corresponding to the target river basin in each time period is divided by the area of the target river basin, and the increment of the non-point source of the target river basin in the unit area of each time period can be obtained.
The total pollution load amount per unit area is distributed to various land utilization types, and the pollution load output coefficient of the various land utilization types in various time periods can be obtained. Determining the proportion of the initial pollution load output coefficient of the land use type to the total initial pollution load output coefficient of the target river basin according to the initial pollution load output coefficients of all land use types of the target river basin aiming at each land use type of the target river basin; and determining the pollution load output coefficient of the land utilization type in each time period according to the proportion of the land utilization type and the increment of the unit area corresponding to the target river basin in each time period.
As one embodiment, the pollution load output coefficient of any land use type at each time period is proportional to the ratio of the initial pollution load output coefficient of that land use type to the total initial pollution load output coefficient of the target basin.
The initial pollution load output coefficient of the land use type may be a pollution load output coefficient of an annual scale, also called an annual pollution load output coefficient, which can be obtained by a known method. The total initial pollution load output coefficient of the target basin is the sum of the initial pollution load output coefficients of all land utilization types.
In some embodiments, the pollution load output coefficient for any land use type over various time periods is determined as follows:
E ij ＝ΔL j *E i /E 0 ；
wherein E is ij Represents the pollution load output coefficient, deltaL, of the ith land use type in the time period j j Representing the increment of the unit area of the target river basin in the time period j, E i An initial pollution load output coefficient indicating the ith land use type, E 0 Representing the total initial pollution load output coefficient of the target river basin. E (E) 0 The sum of the coefficients is output for all land use types of the initial pollution load.
Wherein the increment per unit area may be based on the increment of the target basin and the position of the target basinAnd determining the sum of areas of the land utilization types. Exemplary, deltaL j ＝(L(P j )-L 0 ) Wherein L (P) j ) Represents the pollution load of the target river basin (all land utilization types) in a time period j, L 0 Represents the pollution load background value, and A represents the area of all land utilization types of the target river basin.
Further, the pollution load output coefficient of any land use type at each time period can be expressed as:
E ij ＝[(L(P j )-L 0 )/A]*(E i /E 0 )。
further, the pollution load of a non-point source of a target basin can be expressed as:
wherein L is j Represents pollution load quantity of non-point source in jth time period of target river basin, i represents land utilization type, n represents quantity of land utilization type, A i Represents the area of the i-th land use type, A represents the total area of all land use types of the target river basin, E i An initial pollution load output coefficient indicating the ith land use type, E 0 Representing the total initial pollution load output coefficient of the target river basin, L (P j ) Represents the pollution load of the target river basin (all land utilization types) in a time period j, L 0 Representing the pollution load background value.
In the present embodiment, the time scale may be set according to the degree of refinement, and, illustratively, a month, a quarter, or the like is taken as the target time scale. For example, on a monthly time scale, a monthly pollution load output coefficient can be obtained. For another example, the pollution load output coefficient for each quarter can be obtained with each quarter as a time scale.
The exemplary illustration is in terms of time scale for months. One year is divided into twelve months. The monthly rainfall of the target basin, e.g., the average rainfall over the years history period, is determined. Based on the response relation of the present embodiment and the monthly rainfall of the target drainage basin, the pollution load amount corresponding to each month is determined. A monthly pollution load background value is determined, for example from the pollution load during the dead water period. And determining the increment of the pollution load corresponding to the target river basin in each month relative to the background value of the pollution load in each month, and taking the increment as the total pollution load of the non-point source in the target river basin in each month. And determining the total pollution load amount of the unit area of the non-point source month of the target river basin according to the area of the target river basin, and taking the total pollution load amount as the total pollution load output coefficient of the non-point source month of the target river basin. The monthly pollution load output coefficient for each land use type is determined based on the ratio of the initial pollution load output coefficient for each land use type to the total initial pollution load output coefficient for the target river basin.
The application also provides a device for determining the pollution load output coefficient of the non-point source.
FIG. 3 shows a schematic block diagram of an apparatus for determining pollution load output coefficients of non-point sources, as shown in FIG. 3, according to an embodiment of the present application, including: fitting module 10, first determining module 20, and second determining module 30.
And the fitting module 10 is used for fitting the relation between the rainfall and the pollution load according to the measured data of the outlet of the target river basin to obtain the response relation between the rainfall and the pollution load.
In some embodiments, the measured data of the outlet of the target river basin includes rainfall data and pollution load data, and the fitting module 10 is configured to perform Logistic function fitting according to the measured data of the outlet of the target river basin, so as to obtain a Logistic function between the rainfall and the pollution load of the target river basin.
In some embodiments, the Logistic function is expressed as:
wherein p represents the rainfall, and L (p) represents the pollution load when the rainfall is p; l (L) 0 Indicating initial pollution load, L max Representing the maximum pollution load, r being the potential index of pollution load increase; which is a kind ofWherein L is 0 、L max And r is obtained from the measured data.
The first determining module 20 is configured to determine, for each time period obtained by dividing according to the target time scale, a pollution load amount of the time period according to an accumulated rainfall amount and a response relation of the target river basin in the time period, and determine a unit area increment of the pollution load amount of the time period relative to a pollution load amount background value, where the unit area increment corresponding to the time period represents a total unit area pollution load amount of a non-point source of the target river basin in the time period.
In some embodiments, the first determining module 20 is configured to determine L 0 As a pollution load background value.
In some embodiments, the first determining module 20 is configured to determine a pollution load background value based on the pollution load at the time of non-rainfall.
The second determining module 30 is configured to determine, for each land use type of the target drainage basin, a pollution load output coefficient of the land use type in each time period according to initial pollution load output coefficients of all land use types of the target drainage basin and unit area increments corresponding to each time period of the target drainage basin.
In some embodiments, the second determining module 30 is configured to determine, for each land use type of the target river basin, a proportion of the initial pollution load output coefficient of the land use type to the total initial pollution load output coefficient of the target river basin according to the initial pollution load output coefficients of all land use types of the target river basin; and determining the pollution load output coefficient of the land utilization type in each time period according to the proportion of the land utilization type and the increment of the unit area corresponding to the target river basin in each time period.
In some embodiments, the pollution load output coefficient of any land use type over each time period is proportional to the ratio of the initial pollution load output coefficient of that land use type to the total initial pollution load output coefficient of the target basin.
In some embodiments, the second determining module 30 is configured to determine the pollution load output coefficient for each time period for any land use type in the following manner:
E ij ＝ΔL j *E i /E 0 ；
wherein E is ij Represents the pollution load output coefficient, deltaL, of the ith land use type in the time period j j Representing the increment of the unit area of the target river basin in the time period j, E i An initial pollution load output coefficient indicating the ith land use type, E 0 Representing the total initial pollution load output coefficient of the target river basin.
Wherein the increment per unit area may be determined based on the increment of the target basin and the sum of areas of all land use types of the target basin. Exemplary, deltaL j ＝(L(P j )-L 0 ) Wherein L (P) j ) Represents the pollution load of the target river basin (all land utilization types) in a time period j, L 0 Represents the pollution load background value, and A represents the area of all land utilization types of the target river basin.
Further, the pollution load output coefficient of any land use type at each time period can be expressed as:
E ij ＝[(L(P j )-L 0 )/A]*(E i /E 0 )。
further, the pollution load of a non-point source of a target basin can be expressed as:
wherein L is j Represents pollution load quantity of non-point source in jth time period of target river basin, i represents land utilization type, n represents quantity of land utilization type, A i Represents the area of the i-th land use type, A represents the total area of all land use types of the target river basin, E i An initial pollution load output coefficient indicating the ith land use type, E 0 Representing the total initial pollution load output coefficient of the target river basin, L (P j ) Indicating the fouling of the target river basin (all land use types) during time period jLoad of dyeing, L 0 Representing the pollution load background value.
In the present embodiment, the time scale may be set according to the degree of refinement, and, illustratively, a month, a quarter, or the like is taken as the target time scale. For example, on a monthly time scale, a monthly pollution load output coefficient can be obtained. For another example, the pollution load output coefficient for each quarter can be obtained with each quarter as a time scale.
The exemplary illustration is in terms of time scale for months. One year is divided into twelve months. The monthly rainfall of the target basin, e.g., the average rainfall over the years history period, is determined. Based on the response relation of the present embodiment and the monthly rainfall of the target drainage basin, the pollution load amount corresponding to each month is determined. A monthly pollution load background value is determined, for example from the pollution load during the dead water period. And determining the increment of the pollution load corresponding to the target river basin in each month relative to the background value of the pollution load in each month, and taking the increment as the total pollution load of the non-point source in the target river basin in each month. And determining the total pollution load amount of the unit area of the non-point source month of the target river basin according to the area of the target river basin, and taking the total pollution load amount as the total pollution load output coefficient of the non-point source month of the target river basin. The monthly pollution load output coefficient for each land use type is determined based on the ratio of the initial pollution load output coefficient for each land use type to the total initial pollution load output coefficient for the target river basin.
The exemplary embodiment of the application also provides an electronic device, including: at least one processor; and a memory communicatively coupled to the at least one processor. The memory stores a computer program executable by the at least one processor for causing the electronic device to perform a method according to an embodiment of the present application when executed by the at least one processor.
The present exemplary embodiments also provide a non-transitory computer readable storage medium storing a computer program, wherein the computer program, when executed by a processor of a computer, is for causing the computer to perform a method according to an embodiment of the present application.
The present exemplary embodiments also provide a computer program product comprising a computer program, wherein the computer program, when being executed by a processor of a computer, is for causing the computer to perform a method according to embodiments of the present application.
Referring to fig. 4, a block diagram of an electronic device 400 that may be a server or a client of the present application, which is an example of a hardware device that may be applied to aspects of the present application, will now be described. Electronic devices are intended to represent various forms of digital electronic computer devices, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other suitable computers. The electronic device may also represent various forms of mobile devices, such as personal digital processing, cellular telephones, smartphones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the application described and/or claimed herein.
As shown in fig. 4, the electronic device 400 includes a computing unit 401 that can perform various suitable actions and processes according to a computer program stored in a Read Only Memory (ROM) 402 or a computer program loaded from a storage unit 408 into a Random Access Memory (RAM) 403. In RAM 403, various programs and data required for the operation of device 400 may also be stored. The computing unit 401, ROM 402, and RAM 403 are connected to each other by a bus 404. An input/output (I/O) interface 405 is also connected to bus 404.
Various components in electronic device 400 are connected to I/O interface 405, including: an input unit 406, an output unit 407, a storage unit 408, and a communication unit 409. The input unit 406 may be any type of device capable of inputting information to the electronic device 400, and the input unit 406 may receive input numeric or character information and generate key signal inputs related to user settings and/or function controls of the electronic device. The output unit 407 may be any type of device capable of presenting information and may include, but is not limited to, a display, speakers, video/audio output terminals, vibrators, and/or printers. Storage unit 408 may include, but is not limited to, magnetic disks, optical disks. The communication unit 409 allows the electronic device 400 to exchange information/data with other devices via a computer network, such as the internet, and/or various telecommunications networks, and may include, but is not limited to, modems, network cards, infrared communication devices, wireless communication transceivers and/or chipsets, such as bluetooth devices, wiFi devices, wiMax devices, cellular communication devices, and/or the like.
The computing unit 401 may be a variety of general purpose and/or special purpose processing components having processing and computing capabilities. Some examples of computing unit 401 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various specialized Artificial Intelligence (AI) computing chips, various computing units running machine learning model algorithms, a Digital Signal Processor (DSP), and any suitable processor, controller, microcontroller, etc. The computing unit 401 performs the respective methods and processes described above. For example, in some embodiments, the method of determining a pollution load output coefficient of a non-point source may be implemented as a computer software program tangibly embodied on a machine-readable medium, such as the storage unit 408. In some embodiments, part or all of the computer program may be loaded and/or installed onto the electronic device 400 via the ROM 402 and/or the communication unit 409. In some embodiments, the computing unit 401 may be configured by any other suitable means (e.g., by means of firmware) to perform the method of determining the pollution load output coefficient of the non-point source.
Program code for carrying out methods of the present application may be written in any combination of one or more programming languages. These program code may be provided to a processor or controller of a general purpose computer, special purpose computer, or other programmable data processing apparatus such that the program code, when executed by the processor or controller, causes the functions/operations specified in the flowchart and/or block diagram to be implemented. The program code may execute entirely on the machine, partly on the machine, as a stand-alone software package, partly on the machine and partly on a remote machine or entirely on the remote machine or server.
In the context of this application, a machine-readable medium may be a tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. The machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. The machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
As used herein, the terms "machine-readable medium" and "computer-readable medium" refer to any computer program product, apparatus, and/or device (e.g., magnetic discs, optical disks, memory, programmable Logic Devices (PLDs)) used to provide machine instructions and/or data to a programmable processor, including a machine-readable medium that receives machine instructions as a machine-readable signal. The term "machine-readable signal" refers to any signal used to provide machine instructions and/or data to a programmable processor.
To provide for interaction with a user, the systems and techniques described here can be implemented on a computer having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and pointing device (e.g., a mouse or trackball) by which a user can provide input to the computer. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic input, speech input, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a background component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such background, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), wide Area Networks (WANs), and the internet.
The computer system may include a client and a server. The client and server are typically remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other.
Claims (11)
1. A method of determining a pollution load output coefficient of a non-point source, comprising:
fitting the relation between the rainfall and the pollution load according to the measured data of the outlet of the target river basin to obtain a response relation between the rainfall and the pollution load;
for each time period obtained by dividing according to a target time scale, determining the pollution load of the time period according to the accumulated rainfall of the target river basin in the time period and the response relation, and determining the unit area increment of the pollution load of the time period relative to the pollution load background value, wherein the unit area increment corresponding to the time period represents the total unit area pollution load of the non-point source of the target river basin in the time period;
for each land use type of the target river basin, determining the pollution load output coefficient of the land use type in each time period according to the initial pollution load output coefficients of all land use types of the target river basin and the unit area increment corresponding to each time period of the target river basin, wherein the method comprises the following steps:
for each land use type of the target basin,
determining the proportion of the initial pollution load output coefficient of the land use type to the total initial pollution load output coefficient of the target river basin according to the initial pollution load output coefficients of all land use types of the target river basin;
and determining the pollution load output coefficient of the land utilization type in each time period according to the proportion of the land utilization type and the increment of the unit area corresponding to the target river basin in each time period.
2. The method of claim 1, wherein the pollution load output coefficient of any land use type at each time period is proportional to the ratio of the land use types.
3. The method of claim 2, wherein the pollution load output coefficient for each time period for any land use type is determined in the following manner:
E ij ＝ΔL j *E i /E 0 ；
wherein E is ij Represents the pollution load output coefficient, deltaL, of the ith land use type in the time period j j Representing the increment of the unit area of the target river basin in the time period j, E i An initial pollution load output coefficient indicating the ith land use type, E 0 Representing the total initial pollution load output coefficient of the target river basin.
4. The method of claim 1, wherein fitting the relationship between the rainfall and the pollution load according to the measured data of the outlet of the target river basin to obtain the response relationship between the rainfall and the pollution load comprises:
and performing Logistic function fitting according to the measured data of the outlet of the target river basin to obtain a Logistic function between the rainfall capacity and the pollution load capacity of the target river basin.
5. The method of claim 4, wherein the Logistic function is expressed as:
wherein p represents the rainfall, and L (p) represents the pollution load when the rainfall is p; l (L) 0 Indicating initial pollution load, L max Representing the maximum pollution load, r being the potential index of pollution load increase; wherein L is 0 、L max And r is obtained according to the measured data.
6. The method as recited in claim 5, further comprising: will L 0 As the pollution load background value.
7. The method as recited in claim 1, further comprising: and determining a pollution load background value according to the pollution load of the non-rainfall time.
8. An apparatus for determining a pollution load output coefficient of a non-point source, comprising:
the fitting module is used for fitting the relationship between the rainfall and the pollution load according to the measured data of the outlet of the target river basin to obtain the response relationship between the rainfall and the pollution load;
the first determining module is used for determining the pollution load of each time period according to the accumulated rainfall of the target river basin in the time period and the response relation, and determining the increment of the pollution load of the time period relative to the unit area of the pollution load background value, wherein the increment of the unit area corresponding to the time period represents the total unit area pollution load of the non-point source of the target river basin in the time period;
the second determining module is used for determining the pollution load output coefficient of each land use type of the target river basin in each time period according to the initial pollution load output coefficients of all land use types of the target river basin and the unit area increment corresponding to each time period of the target river basin;
the second determining module is specifically configured to: determining the proportion of the initial pollution load output coefficient of the land use type to the total initial pollution load output coefficient of the target river basin according to the initial pollution load output coefficients of all land use types of the target river basin aiming at each land use type of the target river basin; and determining the pollution load output coefficient of the land utilization type in each time period according to the proportion of the land utilization type and the increment of the unit area corresponding to the target river basin in each time period.
9. The apparatus of claim 8 wherein the pollution load output coefficient of any land use type at each time period is proportional to the ratio of the initial pollution load output coefficient of that land use type to the total initial pollution load output coefficient of the target basin.
10. An electronic device, comprising:
a processor; and
a memory in which a program is stored,
wherein the program comprises instructions which, when executed by the processor, cause the processor to perform the method according to any of claims 1-7.
11. A non-transitory computer readable storage medium storing computer instructions for causing the computer to perform the method of any one of claims 1-7.
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