CN115856237A - Flood season pollution intensity calculation method and device based on water quality monitoring indexes - Google Patents
Flood season pollution intensity calculation method and device based on water quality monitoring indexes Download PDFInfo
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Abstract
The invention provides a flood season pollution intensity calculation method and device based on water quality monitoring indexes, wherein the flood season pollution intensity calculation method based on the water quality monitoring indexes comprises the following steps: determining a water quality monitoring section to be monitored, and acquiring precipitation data of the water quality monitoring section; determining concentration data of each monitoring index of the water quality monitoring section according to the precipitation data, and arranging the concentration data in a preset sequence; determining a target water quality type of an area where the water quality monitoring section is located, and determining a target concentration limit value according to the target water quality type; calculating according to the concentration data and the target concentration limit value to obtain a target concentration multiple; and determining the maximum concentration multiple according to the target concentration multiple, and determining the pollution intensity by a preset method according to the maximum concentration multiple, so as to ensure that the pollution intensity of a specific water area during the flood season is accurately calculated.
Description
Technical Field
The invention relates to the technical field of water environment monitoring, in particular to a flood season pollution intensity calculation method and device based on water quality monitoring indexes.
Background
In recent years, the quality of water environment in China is continuously improved, but problems of 'storing dirt and containing dirt' in dry seasons, 'storing and fetching' in rainy seasons and the like still exist in some places, and the bottleneck of non-point source pollution of cities and countryside is faced in the water pollution prevention and control work. Therefore, the pollution degree of the monitoring section in the flood season is determined to be very important.
At present, quantitative analysis on the flood season pollution degree of a monitoring section is not carried out in water pollution prevention work, and the difference between the flood season pollution degree and a water quality target and the change situation of the flood season pollutant concentration cannot be accurately determined.
Disclosure of Invention
The invention solves the problem of how to accurately obtain the pollution intensity of the water quality monitoring section in the flood season.
In order to solve the problems, the invention provides a flood season pollution intensity calculation method based on water quality monitoring indexes, which comprises the following steps:
determining a water quality monitoring section to be monitored, and acquiring precipitation data of the water quality monitoring section;
determining concentration data of each monitoring index of the water quality monitoring section according to the precipitation data, and arranging the concentration data in a preset sequence;
determining a target water quality type of an area where the water quality monitoring section is located, and determining a target concentration limit value according to the target water quality type;
calculating according to the concentration data and the target concentration limit value to obtain a target concentration multiple;
and determining the maximum concentration multiple according to the target concentration multiple, and determining the pollution intensity through a preset method according to the maximum concentration multiple.
Optionally, the precipitation data comprises precipitation time points and precipitation times.
Optionally, the determining a water quality monitoring section to be monitored, and the acquiring precipitation data of the water quality monitoring section includes:
acquiring monthly rainfall data of the area where the water quality monitoring section is located;
and determining the precipitation time point and the precipitation times according to the monthly precipitation data, wherein the precipitation separated by at least 24 hours is taken as two precipitations.
Optionally, the calculating a target concentration multiple according to the concentration data and the target concentration limit value includes:
and calculating multiples of each precipitation data in the monthly precipitation data and the target concentration limit value, and arranging the multiples in a preset sequence to be used as the target concentration multiples.
Optionally, the determining a concentration maximum multiple according to the target concentration multiple, and the determining the pollution intensity by a preset method according to the concentration maximum multiple includes:
comparing and obtaining the maximum multiple in the target concentration multiples, and taking the maximum multiple as the maximum multiple of the concentration;
obtaining the maximum multiple of the concentration of all the monitoring indicators to determine the contamination intensity.
Optionally, the determining, according to the precipitation data, concentration data of each monitoring index of the water quality monitoring section includes:
judging whether a water quality automatic station is built in the area where the water quality monitoring section is located;
and if a water quality automatic station is established, adopting effective hour data as the concentration data.
Optionally, the using the valid hour data as the concentration data includes:
acquiring the precipitation time point and monitoring data of the current precipitation, and determining the precipitation time length of the current precipitation according to the precipitation time point;
calculating an hour average value of the monitoring data according to the precipitation time length and the monitoring data;
and filtering the hour average value, and excluding the hour average value exceeding a preset fluctuation range to obtain the effective hour data.
Optionally, the determining a target water quality type of an area where the water quality monitoring section is located, and determining a target concentration limit according to the target water quality type includes:
acquiring a surface water environment quality standard corresponding to the target water quality category;
and determining the concentration limit value of each monitoring index as the target concentration limit value according to the surface water environment quality standard.
Optionally, the monitoring indicators include permanganate index, chemical oxygen demand, five-day biochemical oxygen demand, ammonia nitrogen, total phosphorus, total nitrogen, copper, zinc, fluoride, selenium, arsenic, mercury, cadmium, chromium, lead, cyanide, volatile phenol, petroleum species, anionic surfactant, sulfide, and faecal coliform.
On the other hand, the invention also provides a flood season pollution intensity calculation device based on the water quality monitoring indexes, which is characterized by comprising the following steps:
the monitoring data acquisition module is used for determining a water quality monitoring section to be monitored and acquiring precipitation data of the water quality monitoring section;
the concentration data acquisition module is used for determining the concentration data of each monitoring index of the water quality monitoring section according to the precipitation data and arranging the concentration data in a preset sequence;
a concentration limit value obtaining module for determining a target water quality type of an area where the water quality monitoring section is located and determining a target concentration limit value according to the target water quality type;
the concentration multiple obtaining module is used for calculating and obtaining a target concentration multiple according to the concentration data and the target concentration limit value;
and the determining module is used for determining the maximum concentration multiple according to the target concentration multiple and determining the pollution intensity through a preset method according to the maximum concentration multiple.
Compared with the prior art, the method has the advantages that the precipitation data of the water quality monitoring section are obtained by determining the water quality monitoring section, and then the concentration data of different monitoring indexes are determined and arranged according to the precipitation data, so that the data with relatively complete rules are ensured, the calculated amount is reduced, and the speed of determining the pollution intensity is accelerated; and determining the target water quality category according to the area where the water quality monitoring section is located, further determining a target concentration limit value, then calculating to obtain a target concentration multiple, determining the maximum concentration multiple according to the target concentration multiple, and ensuring that the pollution intensity is scientifically and accurately determined according to monitoring data.
Drawings
FIG. 1 is a flow chart of a flood season pollution intensity calculation method based on water quality monitoring indexes in the embodiment of the invention;
FIG. 2 is a flow chart of the water quality monitoring index-based flood season pollution intensity calculation method after step S300 is refined;
FIG. 3 is a flow chart of the water quality monitoring index-based flood season pollution intensity calculation method after step S100 is refined;
FIG. 4 is a flow chart of the water quality monitoring index-based flood season pollution intensity calculation method after step S500 is refined;
fig. 5 is a flow chart of the flood season pollution intensity calculation method based on the water quality monitoring index, which is disclosed by the embodiment of the invention, after the step S200 is refined.
Detailed Description
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in detail below. While certain embodiments of the present invention are shown in the drawings, it should be understood that the present invention may be embodied in various forms and should not be construed as limited to the embodiments set forth herein, but rather are provided for a more thorough and complete understanding of the present invention. It should be understood that the drawings and the embodiments of the present invention are illustrative only and are not intended to limit the scope of the present invention.
It should be understood that the various steps recited in method embodiments of the present invention may be performed in a different order, and/or performed in parallel. Moreover, method embodiments may include additional steps and/or omit performing the illustrated steps. The scope of the invention is not limited in this respect.
The term "including" and variations thereof as used herein is 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"; the term "optionally" means "alternative embodiments". Relevant definitions for other terms will be given in the following description. It should be noted that the terms "first", "second", and the like in the present invention are only used for distinguishing different devices, modules or units, and are not used for limiting the order or interdependence relationship of the functions performed by the devices, modules or units.
It is noted that references to "a", "an", and "the" modifications in the present invention are intended to be illustrative rather than limiting, and that those skilled in the art will recognize that reference to "one or more" unless the context clearly dictates otherwise.
As shown in fig. 1, an embodiment of the present invention provides a method for calculating flood season pollution intensity based on water quality monitoring indexes, including:
and S100, determining a water quality monitoring section to be monitored, and acquiring precipitation data of the water quality monitoring section.
Water quality monitoring section, sampling section set in water body for monitoring and measuring water quality state. When the water environment pollution-free water distribution system is arranged, hydrology, water power or other water channel characteristics need to be considered, the position of a sewage discharge outlet, the sewage discharge amount and the diffusion rule of substances are considered, and the water environment quality of the area and the time-space distribution condition and the characteristics of pollutants are comprehensively, truly and objectively reflected.
Optionally, the setting of the water quality monitoring section comprises a comparison section, a control section and a reduction section.
In one embodiment, through setting up the water quality monitoring section, obtain the precipitation data on the water quality monitoring section, the precipitation data includes precipitation time point and precipitation number of times. For example, if eight times of precipitation are performed within a certain time period, the start time and the end time of each precipitation are recorded in the corresponding precipitation records as part of precipitation data, so as to comprehensively monitor the condition of the water quality monitoring section.
And S200, determining concentration data of each monitoring index of the water quality monitoring section according to the precipitation data, and arranging the concentration data in a preset sequence.
Specifically, the water quality monitoring section has a plurality of indexes that need monitoring to there is a comprehensive understanding to the pollution of section, so still include multiple monitoring index in the precipitation data, confirm the monitoring index according to the water quality monitoring section.
Optionally, the monitoring indicators include permanganate index, chemical oxygen demand, five-day biochemical oxygen demand, ammonia nitrogen, total phosphorus, total nitrogen, copper, zinc, fluoride, selenium, arsenic, mercury, cadmium, chromium, lead, cyanide, volatile phenol, petroleum species, anionic surfactant, sulfide, and faecal coliform.
In one embodiment, the pollution intensity of the water quality monitoring section can be scientifically, comprehensively and accurately evaluated according to the 21 monitoring indexes.
And step S300, determining the target water quality type of the area where the water quality monitoring section is located, and determining a target concentration limit value according to the target water quality type.
Specifically, different target water quality types are determined according to areas and positions where different water quality monitoring sections are located. Wherein, divide into five types with the quality of water classification, including I type: the source water belongs to the national natural protection area and is not polluted by the outside; and II, class II: belongs to centralized living drinking water in a primary protection area, and a precious aquatic organism habitat, such as living water for spawning of fishes and shrimps; class III: animal and plant drinking water in the secondary protection area; and IV: general industrial and recreational water areas; and V, type: agricultural water and landscape water. Different water quality categories have different target concentration limits, and the concentration limits are in positive correlation with the water quality categories.
In one embodiment, if the water area in which the water quality monitoring section is located functions as agricultural water and landscape water, the target water quality category is located at the category v water quality category, and the target concentration limit is set to the category v concentration limit.
Optionally, as shown in fig. 2, the determining a target water quality type of an area where the water quality monitoring cross section is located, and determining a target concentration limit according to the target water quality type includes:
step S310, acquiring a surface water environment quality standard corresponding to the target water quality category;
and S320, determining the concentration limit value of each monitoring index as the target concentration limit value according to the surface water environment quality standard.
In one embodiment, the concentration limit value that each water quality monitoring index reaches the target water quality category is determined by a surface water environment quality standard, which is shown in the following table:
surface water environment quality standard unit: mg/L
And step S400, calculating according to the concentration data and the target concentration limit value to obtain a target concentration multiple.
Specifically, the concentration data of each monitoring index and the target concentration limit determined in step S300 are calculated to obtain a target concentration multiple, and the concentration level of the pollutant on the water quality monitoring section is measured by the ratio of the concentration data to the target concentration limit. When the target concentration multiple of a certain monitoring index exceeds 1, the concentration of the monitoring index exceeds the specified concentration, and the water quality monitoring section is polluted by the monitored object; when the concentration multiple of a certain monitored quality assurance is not more than 1, the water quality monitoring section is not polluted by the monitored substances.
And S500, determining the maximum concentration multiple according to the target concentration multiple, and determining the pollution intensity through a preset method according to the maximum concentration multiple.
In one embodiment, the precipitation data includes data of a plurality of precipitations, wherein each precipitation is monitored for a monitoring index, the monitoring index of each precipitation is calculated with a target concentration limit value respectively to obtain a plurality of target concentration multiples, the maximum target concentration multiple is compared and used as the maximum concentration multiple, and then the pollution condition of the water quality monitoring section is determined according to the maximum concentration multiple.
Compared with the prior art, the method can scientifically and accurately determine the pollutant concentration change condition of the water quality monitoring section in the flood season, determine the key water quality monitoring section which is greatly influenced by the flood season, and achieve the purpose of improving the urban and rural non-point source pollution by enhancing the control and treatment on the key water quality monitoring section.
Optionally, as shown in fig. 3, the determining a water quality monitoring section to be monitored, and acquiring precipitation data of the water quality monitoring section includes:
step S110, acquiring monthly rainfall data of an area where the water quality monitoring section is located;
and step S120, determining the precipitation time point and the precipitation times according to the monthly precipitation data, wherein the precipitation separated by at least 24 hours is used as two precipitations.
In one embodiment, the precipitation data include monthly precipitation data, and the concentration data of each item of monitoring index of the water quality monitoring section in a natural month are acquired, wherein the concentration data include the precipitation time point and the precipitation times of each precipitation, the precipitation time point includes the precipitation start time point and the precipitation end time point, and the time of each precipitation includes the precipitation period and 24 hours after the precipitation is finished. Acquiring water quality monitoring section in precipitation t i Data in the period, taking total phosphorus concentration data TP as an example:
wherein i represents the number of precipitation times in a natural month, j represents the maximum precipitation hours of one precipitation in a natural month, and TP ij Represents the total phosphorus concentration (unit: mg/L) in the j hour of the i-th precipitation in a natural month.
Optionally, the obtaining a target concentration multiple by calculating according to the concentration data and the target concentration limit includes:
and calculating multiples of each precipitation data in the monthly precipitation data and the target concentration limit value, and arranging the multiples in a preset sequence to be used as the target concentration multiples.
Preferably, since j represents the longest precipitation, the remaining precipitations that do not meet the duration have concentration data of 0 over their own precipitation hours. For example, the maximum precipitation hours in a certain month at the location of a water quality monitoring section is 8, and the maximum precipitation hours in the month is the fifth precipitation in the month, i is 5, j is 32; the number of precipitation hours of the first precipitation of the month is 5, i is 1, j is 29; taking total phosphorus concentration data TP as an example, the month TP 130 、TP 131 And TP 132 Are all 0.
Optionally, the preset sequence comprises a sequence of precipitation times of the water quality monitoring sections within a natural month.
In one embodiment, the multiple of each time of reading precipitation data and the target concentration data limit value is calculated and used as the target concentration multiple, the pollutant concentration condition of each precipitation is guaranteed to be obtained, and the pollution condition is determined according to the pollutant standard exceeding condition of each precipitation.
In one embodiment, taking total phosphorus as an example, TP c And the total phosphorus target concentration limit value of the water quality monitoring section is shown.
The calculation formula can be expressed as:
wherein, TP n To representThe total phosphorus concentration of the water quality monitoring section in a natural month is multiple of the target concentration limit value, TP represents the concentration data of the total phosphorus of the water quality monitoring section in a natural month, and TP c Total phosphorus target concentration limit, TP, representing water quality monitoring cross section nij And the total phosphorus concentration of the water quality monitoring section in the ith precipitation in the jth hour is expressed as a multiple of the target concentration limit value.
Optionally, as shown in fig. 4, the determining a concentration maximum multiple according to the target concentration multiple, and the determining the contamination intensity by a preset method according to the concentration maximum multiple includes:
step S510, comparing and obtaining the maximum multiple in the target concentration multiples, and taking the maximum multiple as the maximum concentration multiple;
step S520, obtaining the maximum multiple of the concentration of all the monitoring indexes to determine the pollution intensity.
In one embodiment, the calculation of the maximum multiple of concentration may be expressed as:
wherein, mTP n Represents the maximum multiple of the total phosphorus concentration of the water quality monitoring section in a natural month relative to a target concentration limit value, TP nij The multiple of the total phosphorus concentration of the water quality monitoring section in the ith precipitation in the jth hour relative to the target concentration limit value in a natural month is represented;
similarly, the maximum times of the rest water quality monitoring index concentrations related to the target concentration limit value can be calculated, and the maximum times comprise the permanganate index, the Chemical Oxygen Demand (COD) and the five-day Biochemical Oxygen Demand (BOD) 5 ) Ammonia Nitrogen (NH) 3 -N), total phosphorus (in P), total nitrogen (in lakes, pools, in N), copper, zinc, fluoride (in F), selenium, arsenic, mercury, cadmium, chromium (hexavalent), lead, cyanide, volatile phenol, petroleum, anionic surfactant, sulfide, faecal coliform group, etc. 21 items of water quality monitoring index concentrations are the maximum multiple of the target concentration limit.
According to the maximum multiple of the 21 water quality monitoring index concentrations related to the target concentration limit value shown in the table above, the maximum value is taken to obtain the flood season pollution intensity of the water quality monitoring section, and the calculation formula is as follows:
in the formula, I represents the flood season pollution intensity of the water quality monitoring section in a natural month, and the right side of the equation is sequentially permanganate index (PV), chemical Oxygen Demand (COD) and Biochemical Oxygen Demand (BOD) for five days 5 ) Ammonia Nitrogen (AN), total Phosphorus (TP), total Nitrogen (TN), copper (Cu), zinc (Zn), fluoride (FL), selenium (Se), arsenic (As), mercury (Hg), cadmium (Cd), hexavalent chromium (Cr) 6+ ) Lead (Pb), cyanide (CN), volatile Phenol (VP), petroleum (Pet), anionic Surfactant (AS), sulfide (SL) and Faecal Coliform (FCB) and the like, wherein the concentration of the water quality monitoring index of 21 items is the maximum multiple of the target concentration limit value.
Optionally, as shown in fig. 5, the determining, according to the precipitation data, concentration data of each monitoring index of the water quality monitoring section includes:
step S210, judging whether a water quality automatic station is established in the area where the water quality monitoring section is located;
and step S220, if a water quality automatic station is built, adopting effective hour data as the concentration data.
Optionally, when no automatic water quality station is built in the area where the water quality monitoring section is located, the concentration data are manually monitored.
Preferably, if the water quality monitoring section is not built or the built water quality automatic station cannot acquire hourly data, the concentration data of each monitoring index does not need to be strictly acquired hourly data.
Optionally, the adopting the effective hour data as the concentration data includes:
acquiring the precipitation time point and monitoring data of the current precipitation, and determining the precipitation time length of the current precipitation according to the precipitation time point;
calculating an hour average value of the monitoring data according to the precipitation time length and the monitoring data;
and filtering the hour average value, and excluding the hour average value exceeding a preset fluctuation range to obtain the effective hour data.
On the other hand, the invention also provides a flood season pollution intensity calculation device based on the water quality monitoring indexes, which comprises:
the monitoring data acquisition module is used for determining a water quality monitoring section to be monitored and acquiring precipitation data of the water quality monitoring section;
the concentration data acquisition module is used for determining the concentration data of each monitoring index of the water quality monitoring section according to the precipitation data and arranging the concentration data in a preset sequence;
a concentration limit value obtaining module, which is used for determining the target water quality type of the area where the water quality monitoring section is located and determining a target concentration limit value according to the target water quality type;
a concentration multiple obtaining module for calculating and obtaining a target concentration multiple according to the concentration data and the target concentration limit value;
and the determining module is used for determining the maximum concentration multiple according to the target concentration multiple and determining the pollution intensity through a preset method according to the maximum concentration multiple.
Another embodiment of the present invention provides an electronic device, including a memory and a processor; the memory for storing a computer program; the processor is used for realizing the flood season pollution intensity calculation method based on the water quality monitoring indexes when executing the computer program.
A computer readable storage medium stores a computer program, and when the computer program is executed by a processor, the method for calculating flood season pollution intensity based on water quality monitoring indexes is implemented.
An electronic device that can be a server or a client of the present invention, which is an example of a hardware device that can be applied to aspects of the present invention, will now be described. Electronic device is intended to represent various forms of digital electronic computer devices, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. The electronic device may also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, 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 inventions described and/or claimed herein.
The electronic device includes a computing unit that can perform various appropriate actions and processes according to a computer program stored in a Read Only Memory (ROM) or a computer program loaded from a storage unit into a Random Access Memory (RAM). In the RAM, various programs and data required for the operation of the device can also be stored. The computing unit, the ROM, and the RAM are connected to each other by a bus. An input/output (I/O) interface is also connected to the bus.
The computer system may include clients and servers. A client and server are generally 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.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. The storage medium may be a magnetic disk, an optical disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), or the like. In this application, the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment of the present invention. In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
Although the present disclosure has been described above, the scope of the present disclosure is not limited thereto. Various changes and modifications may be effected therein by one of ordinary skill in the pertinent art without departing from the spirit and scope of the present disclosure, and these changes and modifications are intended to be within the scope of the present disclosure.
Claims (10)
1. A flood season pollution intensity calculation method based on water quality monitoring indexes is characterized by comprising the following steps:
determining a water quality monitoring section to be monitored, and acquiring precipitation data of the water quality monitoring section;
determining concentration data of each monitoring index of the water quality monitoring section according to the precipitation data, and arranging the concentration data in a preset sequence;
determining a target water quality type of an area where the water quality monitoring section is located, and determining a target concentration limit value according to the target water quality type;
calculating according to the concentration data and the target concentration limit value to obtain a target concentration multiple;
and determining the maximum concentration multiple according to the target concentration multiple, and determining the pollution intensity by a preset method according to the maximum concentration multiple.
2. The flood season pollution intensity calculation method based on the water quality monitoring indexes is characterized in that the precipitation data comprise precipitation time points and precipitation times.
3. The flood season pollution intensity calculation method based on the water quality monitoring indexes is characterized in that the water quality monitoring section to be monitored is determined, and the acquiring of precipitation data of the water quality monitoring section comprises the following steps:
acquiring monthly rainfall data of the area where the water quality monitoring section is located;
and determining the precipitation time point and the precipitation times according to the monthly precipitation data, wherein precipitation separated by at least 24 hours is taken as two precipitations.
4. The flood season pollution intensity calculation method based on the water quality monitoring indexes is characterized in that the step of calculating and obtaining the target concentration multiple according to the concentration data and the target concentration limit value comprises the following steps:
and calculating multiples of each precipitation data in the monthly precipitation data and the target concentration limit value, and arranging the multiples in a preset sequence to be used as the target concentration multiples.
5. The flood season pollution intensity calculating method based on the water quality monitoring indexes according to claim 4, wherein the determining of the maximum concentration multiple according to the target concentration multiple and the determining of the pollution intensity through a preset method according to the maximum concentration multiple comprises the following steps:
comparing and obtaining the maximum multiple in the target concentration multiples, and taking the maximum multiple as the maximum multiple of the concentration;
obtaining the maximum multiple of the concentration of all the monitoring indicators to determine the contamination intensity.
6. The flood season pollution intensity calculation method based on the water quality monitoring indexes is characterized in that the determination of the concentration data of each monitoring index of the water quality monitoring section according to the precipitation data comprises the following steps:
judging whether a water quality automatic station is established in the area of the water quality monitoring section;
and if a water quality automatic station is established, adopting effective hour data as the concentration data.
7. The flood season pollution intensity calculation method based on the water quality monitoring indexes is characterized in that the adoption of effective hour data as the concentration data comprises the following steps:
acquiring the precipitation time point and monitoring data of the current precipitation, and determining the precipitation time length of the current precipitation according to the precipitation time point;
calculating an hour average value of the monitoring data according to the precipitation time length and the monitoring data;
and filtering the hour average value, and excluding the hour average value exceeding a preset fluctuation range to obtain the effective hour data.
8. The flood season pollution intensity calculation method based on the water quality monitoring indexes is characterized in that the step of determining the target water quality type of the area where the water quality monitoring section is located according to the water quality monitoring index is carried out, and the step of determining the target concentration limit value according to the target water quality type comprises the following steps:
acquiring a surface water environment quality standard corresponding to the target water quality category;
and determining the concentration limit value of each monitoring index as the target concentration limit value according to the surface water environment quality standard.
9. The flood season pollution intensity calculation method based on the water quality monitoring index is characterized in that the monitoring index comprises a permanganate index, a chemical oxygen demand, a five-day biochemical oxygen demand, ammonia nitrogen, total phosphorus, total nitrogen, copper, zinc, fluoride, selenium, arsenic, mercury, cadmium, chromium, lead, cyanide, volatile phenol, petroleum, an anionic surfactant, sulfide and faecal coliform group.
10. The utility model provides a flood season pollution intensity calculating device based on water quality monitoring index which characterized in that includes:
the monitoring data acquisition module is used for determining a water quality monitoring section to be monitored and acquiring precipitation data of the water quality monitoring section;
the concentration data acquisition module is used for determining the concentration data of each monitoring index of the water quality monitoring section according to the precipitation data and arranging the concentration data in a preset sequence;
a concentration limit value obtaining module, which is used for determining the target water quality type of the area where the water quality monitoring section is located and determining a target concentration limit value according to the target water quality type;
the concentration multiple obtaining module is used for calculating and obtaining a target concentration multiple according to the concentration data and the target concentration limit value;
and the determining module is used for determining the maximum concentration multiple according to the target concentration multiple and determining the pollution intensity through a preset method according to the maximum concentration multiple.
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| CN118521227B (en) * | 2024-07-22 | 2024-11-05 | 江苏省环境监测中心 | Agricultural area flood season pollution intensity calculation method and system based on rainfall and water quality monitoring |
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