CN116416108A - Urban small micro water body risk assessment method based on synchronous analysis of multiple factors - Google Patents

Urban small micro water body risk assessment method based on synchronous analysis of multiple factors Download PDF

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CN116416108A
CN116416108A CN202310689514.1A CN202310689514A CN116416108A CN 116416108 A CN116416108 A CN 116416108A CN 202310689514 A CN202310689514 A CN 202310689514A CN 116416108 A CN116416108 A CN 116416108A
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water body
rainfall
pollutant
small micro
pollutants
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蔡倩怡
王秀娟
丘锦荣
官心怡
涂红兴
陶钧实
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South China Institute of Environmental Science of Ministry of Ecology and Environment
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South China Institute of Environmental Science of Ministry of Ecology and Environment
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/10Services
    • G06Q50/26Government or public services
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
    • G01N33/18Water
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01WMETEOROLOGY
    • G01W1/00Meteorology
    • G01W1/14Rainfall or precipitation gauges
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10Complex mathematical operations
    • G06F17/11Complex mathematical operations for solving equations, e.g. nonlinear equations, general mathematical optimization problems
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0635Risk analysis of enterprise or organisation activities

Abstract

The invention relates to the technical field of water quality analysis of small and micro water bodies, in particular to a city small and micro water body risk assessment method based on synchronous analysis of multiple factors. The method comprises the steps of obtaining various data information of a plurality of small micro water bodies in a city and weather data information in a future climate environment; evaluating the water quality of the small micro water body; judging rainfall appearing in future weather and rainfall data; evaluating whether the climate influence factors and the environment influence factors pollute the water body; evaluating the risk condition of the water body; and (3) evaluating the floating position and the floating route of the pollutant in the water body, and judging the final position of the pollutant floating in the water body according to the floating route and the wind power data. The position of the water body affected by the gravity is determined by determining the floating route of the pollutant, the final floating position of the pollutant in the water body is determined according to the floating route, and the risk management and control of personnel on the urban small micro-water body and the water quality guarantee are accurately performed by giving an estimated position.

Description

Urban small micro water body risk assessment method based on synchronous analysis of multiple factors
Technical Field
The invention relates to the technical field of water quality analysis of small and micro water bodies, in particular to a city small and micro water body risk assessment method based on synchronous analysis of multiple factors.
Background
The urban small and micro water bodies are distributed in ditches, channels, streams, ponds and the like of cities, and play an important role in the processes of water storage, drainage, water retention, water purification and the like of the cities. Due to the characteristics of poor fluidity, weak self-purification capability, small scale, large quantity and the like of small micro water bodies, the ecological conservation function and the recovery capability of the small micro water bodies are gradually destroyed and lost.
At present, some cities analyze the water quality of small and micro water bodies through an analysis method to judge whether the water quality has a risk or not, specifically, the water quality detection sensor is used for collecting the water quality of the water body in real time, specifically, the water quality is judged by the concentration of pollutants in the water body, but for the water quality of the small and micro water bodies, the water quality is also influenced by other factors, such as:
the influence of rainfall, the rainfall has the following conditions on the water quality of the small micro water body:
for example: for ditches, channels, streams and ponds (hereinafter referred to as ponds) in cities, as the ponds are usually exposed outdoors (commonly found in parks), and most of ponds are usually outdoors, when some pollutants (biological feces, garbage and the like) exist near the ponds due to the exposure outdoors, and under severe weather conditions, such as rainy conditions, whether the pollutants near the ponds can wash out and after the pollutants enter the ponds, the influence of the pollutants on the water quality in the ponds and the influence area are caused, and the influence of the external environment on the water quality of the ponds is considered at present, so that the scheme provides a urban small micro-water risk assessment method for synchronously analyzing the influence of the weather environment on the water quality of the ponds based on a plurality of factors to assess the risk condition of the water quality of the ponds.
Disclosure of Invention
The invention aims to provide a city small micro water body risk assessment method based on synchronous analysis of multiple factors so as to solve the problems in the background technology.
In order to achieve the above purpose, the invention aims to provide a city small micro water body risk assessment method based on synchronous analysis of multiple factors, which comprises the following steps:
s1, acquiring various data information of a plurality of small micro water bodies in a city and weather data information in a future climate environment;
s2, evaluating the water quality condition of the small micro water body according to various data information of the water quality of the small micro water body;
s3, judging rainfall and rainfall data appearing in future weather according to weather data information of future weather environment, marking the information as weather influencing factors, extracting water body positions of pollutants in the vicinity of the water body and positions of the pollutants on the vicinity of the water body in various data information of the micro water body, and marking the information as environment influencing factors;
s4, evaluating whether the climate influence factors and the environment influence factors pollute the water body;
s5, when the water body is polluted by climate influence factors and environment influence factors, evaluating the risk condition of the water body;
s6, estimating the floating position and the floating route of the pollutant in the water body according to the wind power data in the weather data information and the type and the weight of the pollutant, and judging the floating end position of the pollutant in the water body according to the floating route and the wind power data.
As a further improvement of the technical scheme, the data information of the small micro water body comprises:
ammonia nitrogen concentration information, dissolved oxygen concentration information, and contaminant information.
As a further improvement of the technical scheme, after each item of data information of the small micro water body is acquired, repeated data existing in each item of data information are extracted and deleted through a data comparison algorithm, wherein the calculation formula of the data comparison algorithm is as follows:
Figure SMS_1
;
wherein, the liquid crystal display device comprises a liquid crystal display device,
Figure SMS_2
and->
Figure SMS_3
All data information>
Figure SMS_4
Representation->
Figure SMS_5
Is a certain value->
Figure SMS_6
Representation->
Figure SMS_7
Is a certain value->
Figure SMS_8
The data were repeated, P being the quantitative value 1.
As a further improvement of the present technical solution, when the various data information is formed, the condition of the water quality of the small micro water body is evaluated according to the various data information, specifically by obtaining the water quality standard test information in the water quality detection sensor, so that the condition of the water quality is classified into a plurality of grades, including:
standard water quality, primary water quality, secondary water quality and tertiary water quality, wherein the grade evaluation of the water quality is according to the following formula:
Figure SMS_9
;
wherein, the liquid crystal display device comprises a liquid crystal display device,
Figure SMS_10
the ammonia nitrogen concentration information and the dissolved oxygen concentration information are respectively represented by W.
As a further improvement of the technical scheme, when rainfall exists in the future weather data information, determining the level of the rainfall, wherein the level of the rainfall is as follows:
when the daily rainfall is 0-10mm, the rain is small;
when the daily rainfall is 10-24.9mm, the rain is in a medium rain state;
when the daily rainfall is 25-49.9mm, the rain is in a heavy rain state;
when the daily rainfall is 50-99.9mm, the rainstorm state is achieved;
when the daily rainfall is 100-199.9mm, the heavy rain is in a state of heavy rain;
and when the daily rainfall is greater than 200mm, the rainstorm is in a very large state.
As a further improvement of the technical scheme, the positions of pollutants in the small and micro water bodies are near the water bodies, wherein the positions near the water bodies are as follows:
first position: the distance between the pollutant and the water body is 0-30cm;
a second position: the distance between the pollutant and the water body is 30-50cm;
third position: the distance between the pollutant and the water body is 50-100cm.
As a further improvement of the technical scheme, whether the pollutants are washed into the water body by rain is judged according to the distance between the pollutants and the water body and the rainfall level, wherein:
when the rainfall is in a medium rain state and above and the pollutant is in a second position and below, determining that the rainfall flushes the pollutant into the water body;
and when the rainfall is in a heavy rain state and above, and the pollutants are in the first position, determining that the rainfall flushes the pollutants into the water body.
As a further improvement of the technical scheme, when a plurality of pollutants exist, the influence degree on the water body is increased, wherein:
extracting wind power data in weather data information, and estimating the floating position and the floating route of the pollutant in the water body according to the wind power grade, the type and the weight of the pollutant, wherein the wind power grade comprises:
when the wind speed is 5-10m/s, the wind is fresh;
strong wind at a wind speed of 11-13 m/s;
when the wind speed is 14m/s-17m/s, the wind is strong.
As a further improvement of the technical scheme, when the floating route of the pollutants in the water body is formed, the end position of the pollutants floating in the water body is judged according to the wind direction and the wind speed.
Compared with the prior art, the invention has the beneficial effects that:
in the urban small and micro water risk assessment method based on synchronous analysis of multiple factors, whether the pollutants affect the water is judged according to weather data information and the positions of the pollutants near the water, and after the water is affected by the pollutants, prediction of the water risk condition is formed, so that personnel can carry out emergency treatment on the risk condition; the position of the water body influenced by the gravity is determined by determining the floating route of the pollutant, the final floating position of the pollutant in the water body is determined according to the floating route, and the estimated position is provided, so that the personnel can promote the great efficiency when the pollutant is salvaged subsequently, and the personnel can accurately manage and control the risk of the urban small micro water body and ensure the water quality.
Drawings
Fig. 1 is an overall flow chart of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Example 1
Referring to fig. 1, the embodiment provides a city small micro water risk assessment method based on synchronous analysis of multiple factors, which includes the following steps:
s1, acquiring various data information of a plurality of small micro water bodies in a city and weather data information in a future climate environment;
s2, evaluating the water quality condition of the small micro water body according to various data information of the water quality of the small micro water body;
s3, judging rainfall and rainfall data appearing in future weather according to weather data information of future weather environment, marking the information as weather influencing factors, extracting water body positions of pollutants in the vicinity of the water body and positions of the pollutants on the vicinity of the water body in various data information of the micro water body, and marking the information as environment influencing factors;
s4, evaluating whether the climate influence factors and the environment influence factors pollute the water body;
s5, when the water body is polluted by climate influence factors and environment influence factors, evaluating the risk condition of the water body;
s6, estimating the floating position and the floating route of the pollutants in the water body according to the wind power data in the weather data information and the types and the weights of the pollutants, and judging the floating end position of the pollutants in the water body according to the floating route and the wind power data; the method comprises the steps of acquiring various data information of small and medium-sized water bodies in a city and weather data information in a future climate environment, evaluating the water quality condition of the small and medium-sized water bodies according to the various data information, acquiring the conditions that the future weather is rainy and rainfall according to the weather data information, extracting the water bodies with pollutants in a rainfall area at the same time when the future weather is determined to be rainy, determining the positions of the pollutants near the water bodies, and acquiring the current pollutants by monitoring shooting through an unmanned plane; then, for the position of the pollutant near the water body, namely the position at the bank of the water body, by determining the water body with the pollutant at the bank, according to the rainfall evaluation of the water body area, whether the pollutant is washed into the water body or not is evaluated, when the pollutant is washed into the water body by rainfall, the polluted condition of the water body is synchronously evaluated according to the rainfall and the pollutant, so that the analysis of the water quality risk condition of the water body in the area caused by the factors of the pollutant and the rainfall is realized, the risk condition evaluation of the water quality of the water body under the influence of future weather is formed, and further, good auxiliary data opinion is formed for the risk condition of the urban water body, so that personnel has reliable data support when analyzing the urban water body risk condition;
meanwhile, the method is convenient for personnel to have certain countermeasure time when the risk condition is formed in the future, so that the personnel can carry out emergency treatment on the risk condition;
finally, the position of the water body influenced by the gravity is determined by determining the floating route of the pollutant, the final floating position of the pollutant in the water body is determined according to the floating route, and the estimated position is provided, so that the personnel can promote the great efficiency when the pollutant is salvaged subsequently, and the personnel can more accurately manage and control the risk of the urban small and micro water body, so that the water quality is improved.
The detailed description is made for the technical scheme:
each item of data information of the small micro water body comprises:
ammonia nitrogen concentration information, dissolved oxygen concentration information, and contaminant information.
After each item of data information of the small micro water body is acquired, extracting and deleting repeated data existing in each item of data information through a data comparison algorithm, wherein the calculation formula of the data comparison algorithm is as follows:
Figure SMS_11
;
wherein, the liquid crystal display device comprises a liquid crystal display device,
Figure SMS_12
and->
Figure SMS_13
All data information>
Figure SMS_14
Representation->
Figure SMS_15
Is a certain value->
Figure SMS_16
Representation->
Figure SMS_17
Is a certain value->
Figure SMS_18
And (3) repeatedly determining and removing repeated data in each item of data information according to the calculation formula, wherein P is a quantitative value 1, so that single accuracy of the obtained data can be ensured, and further analysis of each item of data information is facilitated.
When each item of data information is formed, the water quality condition of the small micro water body is evaluated according to each item of data information, and the water quality condition is classified into a plurality of grades by acquiring water quality standard test information in the water quality detection sensor, wherein the water quality standard test information comprises:
standard water quality, primary water quality, secondary water quality and tertiary water quality, wherein the grade evaluation of the water quality is according to the following formula:
Figure SMS_19
;
wherein, the liquid crystal display device comprises a liquid crystal display device,
Figure SMS_20
the ammonia nitrogen concentration information and the dissolved oxygen concentration information are respectively represented by W. According to the formula, the grade of the water quality of the water body is evaluated, and the quality of the water quality is poor to the standard that: from standard water quality to three-level water quality, and for the evaluation of water quality, the water quality detection sensor can fully analyze and evaluate the water quality;
then, according to the above, when the water quality is the primary water quality, the secondary water quality and the tertiary water quality, it is explained that the water body in the region is affected by pollution, the control of the regional control source sewage interception and sewage treatment facilities are required to be enhanced, the regional control source sewage interception refers to controlling the flow source of sewage and intercepting harmful substances in the sewage, and the sewage treatment facilities refer to sewage filtering equipment such as the current pipeline sewage purification device; the water body is further required to be strengthened for inspection and monitoring, so that the water body is ensured to be finely managed and controlled, and the quality standard of water quality is ensured.
Determining the level of rainfall when rainfall exists in future weather data information, wherein the level of rainfall is as follows:
when the daily rainfall is 0-10mm, the rain is small;
when the daily rainfall is 10-24.9mm, the rain is in a medium rain state;
when the daily rainfall is 25-49.9mm, the rain is in a heavy rain state;
when the daily rainfall is 50-99.9mm, the rainstorm state is achieved;
when the daily rainfall is 100-199.9mm, the heavy rain is in a state of heavy rain;
when the daily rainfall is greater than 200mm, the rainstorm is in a very large state;
the location of the contaminant in the small micro water body is near the water body, wherein the location near the water body is as follows:
first position: the distance between the pollutant and the water body is 0-30cm;
a second position: the distance between the pollutant and the water body is 30-50cm;
third position: the distance between the pollutant and the water body is 50-100cm.
Because of rainfall, rain can humidify the shore ground near the water body, so that pollutants on the shore ground are flushed into the water body, and therefore:
judging whether the pollutants are washed into the water body by rain according to the distance between the pollutants and the water body and the rainfall level, wherein:
when the rainfall is in a medium rain state and above and the pollutant is in a second position and below, determining that the rainfall flushes the pollutant into the water body;
determining that rainfall flushes the pollutants into the water body when the rainfall is in a heavy rain state and above and the pollutants are in a first position, and determining that the pollutants are flushed into the water body in the interval when the rainfall is in a medium rain state and above (the above is in a heavy rain state-extremely heavy storm state) and the pollutants are in a second position and below (the below is in a second position-first position), so that whether the water body is influenced by the pollutants can be determined; then, determining the influence of the pollutants on the water body according to the types of the pollutants, wherein the types of the pollutants are as follows: plants, excrement, chemical materials and plastic products, when the pollutants enter the water body, the pollutants are judged to have corrosion influence on the water body, and the change of water quality is influenced.
Increasing the degree of influence on the water body when a plurality of pollutants exist, and judging the degree of influence on the water body according to the quantity and the type of the pollutants, wherein the pollutants generally comprise: plants, manure and chemical material, then:
when the pollutant is a chemical material, the chemical material has great biological influence on the water body, and the water quality risk is judged to be in a first-level risk state, so that the risk degree is great;
when the water is plant or excrement, the water quality risk is judged to be in a secondary risk state,
when the water quality control system is a plastic product, the water quality control system is judged to be in a three-level risk state, and for the risk state, the water quality control system is required to be used for controlling the water quality, and the control mode can be referred to the control mode of the water quality.
Wherein, through extracting wind-force data in the weather data information, the kind and the weight of pollutant, according to wind-force grade, kind and the weight of pollutant aassessment pollutant's floating position and the showy route in the water, wind-force grade includes:
when the wind speed is 5-10m/s, the wind is fresh;
strong wind at a wind speed of 11-13 m/s;
when the wind speed is 14m/s-17m/s, the wind is strong; generally speaking, feces and chemical materials (chemical materials such as derivatives, alkynes and derivatives, quinones, aldehydes, alcohols, ketones, phenols, ethers, anhydrides, esters, organic acids, carboxylates, carbohydrates, heterocycles, nitriles, halides, aminoacids) are substances which are easily decomposed by rainwater and water, and therefore, plants and plastic products are judged herein, such as: leaves, branches and leaves and the like, plastic products such as beverage bottles and the like can be blown along with wind force in a water body, wherein when the water body is in a fresh wind state, the floating position of pollutants in the water body is calculated according to 5-10 m/s; in strong wind and strong wind, the method is similar to the above, so that the floating route of the pollutants in the water body is analyzed, the water body position of the water body, which is seriously affected by the pollutants, is judged according to the floating route, even in the water body, the degree of the influence of the pollutants on the water body is limited in time, the affected area range of the water body is gradually enlarged along with the time, but in the initial condition, the position of the water body, which is seriously affected, is determined by determining the floating route of the pollutants, so that the affected position of the water body is accurately managed by subsequent personnel; in this case, the wind direction is predetermined, and thus, the floating route can be determined.
When a floating route of the pollutant in the water body is formed, judging the end position of the pollutant floating in the water body according to the wind direction and the wind speed, wherein the pollutant can continuously float under the influence of the existence of the wind, according to the scheme, the final floating position of the pollutant in the water body is calculated according to the area of the water body, the existence time of the wind, the floating route and the distance of the pollutant, and the estimated position is provided, so that people can know the position conveniently, and the efficiency of the personnel can be improved when the pollutant is salvaged later; through the estimated pollutant types, people can select proper tools which are used corresponding to the pollutants when salvaging the floaters, for example, when salvaging plants, a plurality of large-sized leakage hole net bags are adopted for operation, so that risk management and control on urban small micro water bodies are more convenient.
The foregoing has shown and described the basic principles, principal features and advantages of the invention. It will be understood by those skilled in the art that the present invention is not limited to the above-described embodiments, and that the above-described embodiments and descriptions are only preferred embodiments of the present invention, and are not intended to limit the invention, and that various changes and modifications may be made therein without departing from the spirit and scope of the invention as claimed. The scope of the invention is defined by the appended claims and equivalents thereof.

Claims (9)

1. The urban small micro water body risk assessment method based on synchronous analysis of multiple factors is characterized by comprising the following steps of: the method comprises the following steps:
s1, acquiring various data information of a plurality of small micro water bodies in a city and weather data information in a future climate environment;
s2, evaluating the water quality condition of the small micro water body according to various data information of the water quality of the small micro water body;
s3, judging rainfall and rainfall data appearing in future weather according to weather data information of future weather environment, marking the information as weather influencing factors, extracting water body positions of pollutants in the vicinity of the water body and positions of the pollutants on the vicinity of the water body in various data information of the micro water body, and marking the information as environment influencing factors;
s4, evaluating whether the climate influence factors and the environment influence factors pollute the water body;
s5, when the water body is polluted by climate influence factors and environment influence factors, evaluating the risk condition of the water body;
s6, estimating the floating position and the floating route of the pollutant in the water body according to the wind power data in the weather data information and the type and the weight of the pollutant, and judging the floating end position of the pollutant in the water body according to the floating route and the wind power data.
2. The urban small micro water body risk assessment method based on synchronous analysis of multiple factors according to claim 1, wherein the method is characterized by comprising the following steps: each item of data information of the small micro water body comprises:
ammonia nitrogen concentration information, dissolved oxygen concentration information, and contaminant information.
3. The urban small micro water body risk assessment method based on synchronous analysis of multiple factors according to claim 1, wherein the method is characterized by comprising the following steps: after each item of data information of the small micro water body is acquired, extracting and deleting repeated data existing in each item of data information through a data comparison algorithm, wherein the calculation formula of the data comparison algorithm is as follows:
Figure QLYQS_1
;
wherein, the liquid crystal display device comprises a liquid crystal display device,
Figure QLYQS_2
and->
Figure QLYQS_3
All data information>
Figure QLYQS_4
Representation->
Figure QLYQS_5
Is a certain value->
Figure QLYQS_6
Representation->
Figure QLYQS_7
Is a certain value->
Figure QLYQS_8
The data were repeated, P being the quantitative value 1.
4. The urban small micro water body risk assessment method based on synchronous analysis of multiple factors according to claim 1, wherein the method is characterized by comprising the following steps: when the data information is formed, the water quality condition of the small micro water body is evaluated according to the data information, and the water quality condition is classified into a plurality of grades by acquiring the water quality standard test information in the water quality detection sensor, wherein the water quality standard test information comprises:
standard water quality, primary water quality, secondary water quality and tertiary water quality, wherein the grade evaluation of the water quality is according to the following formula:
Figure QLYQS_9
;
wherein, the liquid crystal display device comprises a liquid crystal display device,
Figure QLYQS_10
the ammonia nitrogen concentration information and the dissolved oxygen concentration information are respectively represented by W.
5. The urban small micro water body risk assessment method based on synchronous analysis of multiple factors according to claim 1, wherein the method is characterized by comprising the following steps: determining the level of rainfall when rainfall exists in the future weather data information, wherein the level of rainfall is as follows:
when the daily rainfall is 0-10mm, the rain is small;
when the daily rainfall is 10-24.9mm, the rain is in a medium rain state;
when the daily rainfall is 25-49.9mm, the rain is in a heavy rain state;
when the daily rainfall is 50-99.9mm, the rainstorm state is achieved;
when the daily rainfall is 100-199.9mm, the heavy rain is in a state of heavy rain;
and when the daily rainfall is greater than 200mm, the rainstorm is in a very large state.
6. The urban small micro water body risk assessment method based on synchronous analysis of multiple factors according to claim 5, wherein the method is characterized by comprising the following steps: the positions of pollutants in the small micro water body are near the water body, wherein the positions near the water body are as follows:
first position: the distance between the pollutant and the water body is 0-30cm;
a second position: the distance between the pollutant and the water body is 30-50cm;
third position: the distance between the pollutant and the water body is 50-100cm.
7. The urban small micro water body risk assessment method based on synchronous analysis of multiple factors according to claim 6, wherein the method is characterized by comprising the following steps: judging whether the pollutants are washed into the water body by rain according to the distance between the pollutants and the water body and the rainfall level, wherein:
when the rainfall is in a medium rain state and above and the pollutant is in a second position and below, determining that the rainfall flushes the pollutant into the water body;
and when the rainfall is in a heavy rain state and above, and the pollutants are in the first position, determining that the rainfall flushes the pollutants into the water body.
8. The urban small micro water body risk assessment method based on synchronous analysis of multiple factors according to claim 7, wherein the method is characterized by comprising the following steps: when a plurality of pollutants exist, the influence degree on the water body is increased, wherein:
extracting wind power data in weather data information, and estimating the floating position and the floating route of the pollutant in the water body according to the wind power grade, the type and the weight of the pollutant, wherein the wind power grade comprises:
when the wind speed is 5-10m/s, the wind is fresh;
strong wind at a wind speed of 11-13 m/s;
when the wind speed is 14m/s-17m/s, the wind is strong.
9. The urban small micro water body risk assessment method based on synchronous analysis of multiple factors according to claim 8, wherein the method is characterized by comprising the following steps: when the floating route of the pollutants in the water body is formed, the end position of the pollutants floating in the water body is judged according to the wind direction and the wind speed.
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