A regional division method and system for hydrological simulation field

Abstract

The present invention discloses a regional division method and system for the field of hydrological simulation, which relates to the technical field of hydrological simulation, and comprises the following steps of dividing an urban drainage system into regions based on buildings, road sections and sites, collecting drainage condition data of each region of the urban drainage system, classifying each region of the urban drainage system, wherein the regional categories include direct discharge regions, medium drainage regions and poor-quality drainage regions, and collecting hydrological data of each region of the city in real time. When the urban drainage system is overloaded, judging whether to temporarily classify the medium drainage region as a direct discharge region based on the hydrological data, the proportion of poor-quality drainage regions and the drainage condition data of the medium drainage region, the system load is effectively reduced, the utilization of water resources is optimized, a more flexible and efficient regional division scheme is provided, and important support is provided for environmental protection and urban planning.

Description

Technical Field

[0001] The present invention relates to the field of hydrological simulation, and more specifically, to a method and system for dividing regions in the field of hydrological simulation. Background Art

[0002] The operation steps of the urban drainage system are usually to collect open rainwater and domestic sewage, transmit the collected sewage through pipes and channels to connect to the sewer, pass the sewage through filtering and treatment facilities to remove pollutants and impurities, and discharge the treated water into streams, rivers, lakes and other waters, or use it for irrigation and industrial purposes.

[0003] Deficiencies of existing technologies: When there is too much rainfall, the sewer system may not be able to drain water quickly, causing the drainage pipes to be overloaded. Some cities may not take into account the drainage needs during heavy rain in their building planning, which can also cause the sewers to be overwhelmed. Filtration facilities affect the drainage speed to a certain extent, so it is necessary to comprehensively consider the balance between filtration and drainage speed to ensure the efficient operation of the drainage system.

[0004] In view of the above problems, the present invention proposes a solution. Summary of the invention

[0005] In order to overcome the above-mentioned defects of the prior art, an embodiment of the present invention provides a method and system for regional division in the field of hydrological simulation, which solves the problems raised in the above-mentioned background technology through hydrological simulation.

[0006] To achieve the above object, the present invention provides the following technical solutions:

[0007] A method for regional division in the field of hydrological simulation includes the following steps:

[0008] Step S10, dividing the urban drainage system into regions based on buildings, road sections, and sites;

[0009] Step S20, collecting drainage data of each area of ​​the urban drainage system;

[0010] Step S30, classifying various areas of the urban drainage system, the area categories include direct drainage area, medium drainage area, and poor drainage area;

[0011] Step S40, collect hydrological data of various areas of the city in real time. When the urban drainage system is overloaded, determine whether to temporarily classify the medium-quality drainage area as a direct discharge area based on the hydrological data, the proportion of poor-quality drainage areas, and the drainage situation data of medium-quality drainage areas.

[0012] In a preferred embodiment, in step S10, the specific area division method is: dividing the city into various small areas, each small area is based on independent buildings, single road sections and independent sites.

[0013] In a preferred embodiment, in step S20, the sewage condition data includes building type data, sewage collection method data, and street cleanliness data, the building type data includes the building type score, the sewage collection method data includes the sewage collection method coefficient, and the street cleanliness data includes the street cleanliness score. After collection, the building type score, the sewage collection method coefficient, and the street cleanliness score are calibrated as LX z , FS x ,JD e .

[0014] In a preferred embodiment, in step S20, the following is a specific method for obtaining the coefficient of the water collection method:

[0015] The water collection method coefficient FS x It is defined as a binary decision variable, indicating whether the sewage collection method is open air or indoor. When it is open air, FS x =0, when indoors, FS x =1;

[0016] The following is how to obtain specific building type scores:

[0017] When the area is divided into sections or sites, let the building type score LX z =0; when the area division is based on buildings, the building function type of the building and the proportion of the types contained in the building are obtained through the local real estate database. The evaluation model constructed by the Logistic regression analysis method is used to conduct an overall analysis of the building function type of the building. The Logistic exponential equation is: Where LX z is the building type score, LX1...LX n The types of specific buildings; α1…α n is the regression coefficient of each variable, is the proportion of the type contained in the corresponding building;

[0018] Here’s how to get your street cleanliness score:

[0019] When the area is divided into buildings, let the street cleanliness score JD e =0; When the area is divided into sections and sites, set the street cleanliness benchmark score and mark it as JD 基; Collect the number of floating population in the road section and venue in a time period; The floating population is divided into sporadic, small, and large. When the floating population is sporadic, JD1 points are added, when the floating population is large, JD2 points are subtracted, when the floating population is small, no points are added or subtracted, when the floating population is sporadic, JD2 = 0, JD3 = 0; when the floating population is small, JD1 = 0, JD3 = 0; when the floating population is large, JD1 = 0, JD1 = 0; through the formula JD 基 +JD1-JD2=JD 人 , calculate the flow score JD 人 ;

[0020] Set the vendor base score and mark it as Fj 基 , collect the number of vendors in the road section and venue in a time period, when the number of vendors is lower than the preset value A1 and greater than zero, add Fj1 points, when the number of vendors is between A1 and A2, add Fj2 points, when the number of vendors is higher than A2, add Fj3 points, when the number of vendors is lower than the preset value A1 and greater than zero, Fj2 and Fj3 are both 0, when the number of vendors is between A1 and A2, Fj1 and Fj3 are both 0, when the height of the measured building is higher than A2, Fj1 and Fj2 are 0; through the formula Fj 基 +Fj1+Fj2+Fj3=Fj 商 Get the merchant score Fj 商 ;

[0021] Assign JD points to street cleanliness benchmark 基 A correction value θ i , giving vendors a benchmark score Fj 商 A correction value δ i ,θ i >δ i ,θ i +δ i =1; through the formula JD 人 *θ i +Fj 商 *δ i =JD e , get the street cleanliness score JD e .

[0022] In a preferred embodiment, in step S30, the specific classification method is as follows:

[0023] The sewage collection method coefficient, street cleanliness score, and building type score obtained by analysis and calculation are dimensionless, and the weighted sum is taken after removing the unit to generate the regional sewage quality index;

[0024] The regional water quality index is compared with the first threshold of regional type assessment and the second threshold of regional type assessment, the first threshold of regional type assessment is greater than the second threshold of regional type assessment, and the regions divided into different areas are classified according to the comparison results;

[0025] The generated regional water quality index is compared with the first threshold of regional type assessment and the second threshold of regional type assessment. When the regional water quality index is less than or equal to the first threshold of regional type assessment and greater than the second threshold of regional type assessment, the region is classified as a medium water quality region.

[0026] When the regional water quality index is greater than the first threshold of regional type assessment, the region is classified as a poor-quality water quality region;

[0027] When the regional water quality index is less than the second threshold of regional type assessment, the region is classified as a drainage area.

[0028] In a preferred embodiment, in step S40, the hydrological data includes a hydrological characteristic coefficient, and the data on the proportion of poor-quality water areas includes a coefficient of the proportion of poor-quality water areas;

[0029] The following is a specific method for obtaining the hydrological characteristic coefficient:

[0030] Use evaporimeter and weather station to record the evaporation rate of urban area, obtain the rainfall rate of urban area through rainfall recorder, measure the drainage rate through flow meter, divide the evaporation rate by the sum of rainfall rate and drainage rate to obtain the hydrological characteristic coefficient;

[0031] The following is a specific method for obtaining the coefficient of the proportion of inferior water:

[0032] According to the method for calculating the regional water quality index in step S30, the regional water quality index of the individual building type is calculated, and compared with the second threshold value of the regional type assessment, and the number of individual building types in the divided area whose regional water quality index is greater than the second threshold value of the regional type assessment is divided by the total number of individual building types to obtain the poor quality water ratio coefficient;

[0033] The coefficient of proportion of inferior sewage, hydrological characteristic coefficient and regional sewage quality index obtained through analysis and calculation are dimensionless, and the weighted summation after removing the unit generates a temporary drainage judgment index. When the urban drainage system is overloaded, the temporary drainage judgment index of the medium sewage area is compared with the preset critical threshold of the temporary drainage judgment index. When the temporary drainage judgment index of the medium sewage area is greater than the critical threshold of the temporary drainage judgment index, the medium sewage area is temporarily classified as a direct discharge area.

[0034] A regional division system for hydrological simulation field, comprising a regional identification module, a data acquisition module, a data analysis module, a regional classification module, and an emergency control module, wherein the modules are interconnected;

[0035] Area identification module: used to divide the city into areas and record them in the system;

[0036] Data collection module: collects data on building types, sewage collection methods, and street cleanliness;

[0037] Data analysis module: used to calculate and analyze the building type score, sewage collection method coefficient, road cleanliness score, and combine them to generate the regional sewage quality index;

[0038] Regional classification module: compare the regional water quality index with the preset first threshold of regional type assessment and the second threshold of regional type assessment. If the first threshold of regional type assessment is greater than the second threshold of regional type assessment, the regions divided into different areas are classified according to the comparison result; compare the generated regional water quality index with the first threshold of regional type assessment and the second threshold of regional type assessment. When the regional water quality index is less than or equal to the first threshold of regional type assessment and greater than the second threshold of regional type assessment, the region is divided into a medium water quality area; when the regional water quality index is greater than the first threshold of regional type assessment, the region is divided into a poor quality water quality area; when the regional water quality index is less than the second threshold of regional type assessment, the region is divided into a drainage area;

[0039] Emergency control module: timely collect hydrological data from various areas of the city. When the urban drainage system is overloaded, determine whether to temporarily classify the medium-quality drainage area as a direct discharge area based on the hydrological data, the proportion of poor-quality drainage areas, and the drainage situation data of medium-quality drainage areas.

[0040] The technical effects and advantages of the regional division method and system for hydrological simulation in the present invention are as follows:

[0041] 1. The present invention realizes intelligent management of urban drainage systems through urban area division and accurate data collection. By analyzing data such as building type, street cleanliness and sewage collection method, the area is divided into direct drainage, medium drainage and poor drainage areas, and a specific treatment plan is provided for each area, which effectively reduces resource waste, optimizes drainage quality, prevents system failures, and ensures the long-term and efficient operation of the drainage system. It not only improves the efficiency of the drainage system, but also provides important support for environmental protection and urban planning.

[0042] 2. The present invention uses real-time collected urban hydrological data to flexibly adjust the classification of medium-sized drainage areas according to system load conditions and drainage quality indicators, and temporarily classifies some areas as direct drainage areas, thereby improving urban drainage efficiency. Through the analysis of hydrological characteristic coefficients and the use of data on the proportion of poor-quality drainage, the risk resistance and regional water quality can be improved. The real-time data and dynamically adjusted drainage system effectively reduce system load, optimize water resource utilization, and provide a more flexible and efficient regional division solution. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] Figure 1 It is a structural schematic diagram of a regional division method for the hydrological simulation field according to the present invention.

[0044] Figure 2 The present invention is a schematic diagram of the structure of a regional division system for the hydrological simulation field. DETAILED DESCRIPTION

[0045] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0046] Embodiment 1, Figure 1 The present invention provides a method for regional division in the field of hydrological simulation, the method comprising the following steps:

[0047] Step S10, dividing the urban drainage system into regions based on buildings, road sections, and sites;

[0048] Step S20, collecting drainage data of each area of ​​the urban drainage system;

[0049] Step S30, classifying various areas of the urban drainage system, the area categories include direct drainage area, medium drainage area, and poor drainage area;

[0050] Step S40, collect hydrological data of various areas of the city in real time. When the urban drainage system is overloaded, determine whether to temporarily classify the medium-quality drainage area as a direct discharge area based on the hydrological data, the proportion of poor-quality drainage areas, and the drainage situation data of medium-quality drainage areas.

[0051] The operation steps of the urban drainage system are usually to collect open rainwater and domestic sewage, transmit the collected sewage through pipes and channels to connect to the sewer, pass the sewage through filtering and treatment facilities to remove pollutants and impurities, and discharge the treated water into streams, rivers, lakes and other waters, or use it for irrigation and industrial purposes.

[0052] When there is too much rainfall, the sewer system may not be able to drain water quickly, causing the drainage pipes to be overloaded. Some cities may not consider the drainage needs during heavy rain in their building planning, which can also cause the sewers to be overwhelmed. Filtration facilities affect the drainage speed to a certain extent, so it is necessary to comprehensively consider the balance between filtration and drainage speed to ensure the efficient operation of the drainage system.

[0053] The present invention divides the sewage collection area into three categories from the perspective of the need for filtration, namely, the direct discharge area, the medium sewage area, and the low-quality sewage area;

[0054] The sewage collected in the direct discharge area is usually rainwater, relatively clean road water or relatively clean domestic water. The sewage collected in this area can be directly discharged by the urban drainage system without filtering;

[0055] The sewage collected in the medium sewage area is usually the roadside water of small stalls in human settlements, the water used for cleaning roads, etc. The sewage collected in this area is not very clean, but not too harmful, and usually needs to be filtered before discharge;

[0056] The sewage collected in the poor-quality sewage area is usually sewage generated by daily activities such as residents' lives, kitchens, bathrooms and laundry, or various biological pollutants and industrial wastewater. The sewage collected in this area may contain organic matter, grease, food residues, and may contain high concentrations of pollutants such as solid waste, heavy metals, and toxic chemicals. Effective sewage treatment and filtration need to be given priority.

[0057] Step S10, dividing the urban drainage system into regions based on buildings, road sections, and sites;

[0058] The specific method of area division is: divide the city into small areas, and each small area is composed of independent buildings, single external road sections and independent sites.

[0059] The regional division has the following functions in classifying the various areas of the urban drainage system:

[0060] This detailed zoning allows for more accurate monitoring and management of drainage systems;

[0061] Accurate monitoring and management: Zoning enables a clear understanding of the drainage conditions in each small area, allowing for more accurate monitoring of water flow and drainage quality. This helps to quickly identify and resolve drainage problems in specific areas and improve management efficiency.

[0062] Individualized treatment: Different areas may have different drainage needs and characteristics. Regional division makes it possible to manage and treat them in a targeted manner, and to more effectively adopt appropriate treatment methods for the special conditions of each area, such as direct discharge, filtered discharge, etc.

[0063] Preventive maintenance: Monitoring drainage conditions by region helps predict potential problems in advance and conduct preventive maintenance. This can reduce the risk of potential drainage system failures, reduce maintenance costs, and ensure the long-term stable operation of the urban drainage system;

[0064] Emergency response capability: Regional division provides the ability to respond to emergencies more quickly. In extreme weather such as heavy rain, analysis and treatment of specific areas can take measures more quickly to reduce the load pressure on the drainage system;

[0065] In general, the regional division of urban drainage systems not only improves management efficiency and response speed, but also enables personalized treatment, thereby better ensuring the operation of urban drainage systems and environmental protection, and laying the foundation for subsequent regional classification.

[0066] Step S20, collecting drainage data of each area of ​​the urban drainage system;

[0067] Specifically, the sewage data of each area of ​​the urban drainage system is collected. The sewage data includes building type data, sewage collection method data, and street cleanliness data. The type of the area is analyzed through the collected data.

[0068] The building type data includes the building type score, the sewage collection method data includes the sewage collection method coefficient, and the street cleanliness data includes the street cleanliness score. After collection, the building type score, sewage collection method coefficient, and street cleanliness score are calibrated as LX z , FS x ,JD e .

[0069] The building type score in the building type data plays a key role in the drainage situation in the analysis area. The building type score indicates the drainage situation of the building caused by the different types of buildings. For example, the drainage quality of residential buildings is obviously lower than that of office buildings. The building type score has the following effects on the drainage situation in the analysis area:

[0070] Sewage quality assessment: The building type score is an assessment of different building types, which can indicate the sewage quality of the area to a certain extent; different types of buildings may produce different levels of sewage, for example, a family home may discharge sewage containing more organic waste, while an office building may contain less pollutants. These scores help to assess the sewage quality of the area;

[0071] Wastewater treatment method decision: The building type score can help determine the best wastewater treatment method. By understanding the impact of building type on drainage quality, a more appropriate wastewater treatment method can be selected to ensure that the discharged water quality meets the standards;

[0072] Drainage system optimization: Analyzing the building type scores can guide the optimization and improvement of the drainage system. If certain types of buildings particularly affect the drainage situation in an area, targeted adjustments to the drainage system can be considered to solve the problem and improve the efficiency of the system.

[0073] In summary, the building type score in the building type data plays an important role in analyzing the drainage conditions in an area. It provides an indicator to evaluate the impact of different building types on the drainage system and helps to carry out targeted management and improvement.

[0074] The following is how to obtain specific building type scores:

[0075] When the area is divided into sections or sites, let the building type score LX z =0; when the area division is based on buildings, the building function type of the building and the proportion of the types included in the building are obtained through the local real estate database. For the building function type of the building, the present invention uses the evaluation model constructed by the Logistic regression analysis method to conduct an overall analysis of the building. Since the floors of a building may be different, and the functions and types are also different, it is necessary to consider the building as a whole.

[0076] The exponential equation of the Logistic of the present invention is:

[0077] Where LX z The building type score, LX1...LX n The types of specific buildings; α1…α n is the regression coefficient of each variable (the larger the coefficient, the greater the type of water hazard), is the proportion of the type contained in the corresponding building;

[0078] It should be noted that when all variables are set to 0, the building type score LX z Set to 0.

[0079] The street cleanliness score in the street cleanliness data plays a key role in the sewage situation in the analysis area. The street cleanliness score indicates the cleanliness of the sewage generated by the street. For example, the sewage quality generated by snack streets and sections with heavy traffic is obviously lower than that of unmanned sections. The street cleanliness score has the following effects on the sewage situation in the analysis area:

[0080] Wastewater quality assessment: Street cleanliness scores provide an estimate of the quality of sewage produced by the street environment; for example, food streets or roads with heavy pedestrian and vehicle traffic may result in more ground pollutants and thus produce lower quality sewage. These scores can be used to assess differences in groundwater quality produced by different streets;

[0081] Identification of environmental influencing factors: Through the street cleanliness score, the degree of influence of different street environments on sewage quality can be identified; this helps to determine which street environmental factors may lead to changes in drainage quality, so as to take targeted measures to improve sewage conditions;

[0082] Drainage system planning and optimization: Street cleanliness scores help plan and optimize urban drainage systems. Based on the characteristics of sewage generated in different street environments, drainage systems can be designed more effectively to meet drainage needs in different environments and improve the efficiency of drainage systems;

[0083] Emergency response warning: Street cleanliness scores can also be used as an indicator to monitor the operation of the drainage system. When the cleanliness scores of certain streets drop significantly, it may mean that the drainage system will face excessive pressure and emergency measures need to be taken in advance.

[0084] Here’s how to get your street cleanliness score:

[0085] When the area is divided into buildings, let the street cleanliness score JD e =0; When the area is divided into sections or sites, set the street cleanliness benchmark score and mark it as JD 基 ; Collect the number of floating population in a road section or site in a time period, and the time period is at least one day; the floating population is divided into sporadic, small, and large. When the floating population is sporadic, JD1 points are added, and when the floating population is large, JD2 points are subtracted. When the floating population is small, no points are added or subtracted. When the floating population is sporadic, JD2 = 0, JD3 = 0; when the floating population is small, JD1 = 0, JD3 = 0; when the floating population is large, JD1 = 0, JD1 = 0; through the formula JD 基 +JD1-JD2=JD 人 , calculate the flow score JD 人 ;

[0086] Set the vendor base score and mark it as Fj 基, collect the number of vendors in a road section or venue in a time period, when the number of vendors is lower than the preset value A1 and greater than zero, add Fj1 points, when the number of vendors is between A1 and A2, add Fj2 points, when the number of vendors is higher than A2, add Fj3 points, when the number of vendors is lower than the preset value A1 and greater than zero, Fj2 and Fj3 are both 0, when the number of vendors is between A1 and A2, Fj1 and Fj3 are both 0, when the height of the measured building is higher than A2, Fj1 and Fj2 are 0; through the formula Fj 基 +Fj1+Fj2+Fj3=Fj 商 Get the merchant score Fj 商 ;

[0087] Assign JD points to street cleanliness benchmark 基 A correction value θ i , giving vendors a benchmark score Fj 商 A correction value δ i ,θ i >δ i ,θ i +δ i =1; through the formula JD 人 *θ i +Fj 商 *δ i =JD e , get the street cleanliness score JD e .

[0088] The sewage collection method data includes the sewage collection method coefficient, which indicates whether the sewage collection method is indoors or outdoors. The sewage collection method coefficient has the following effects on the sewage situation in the analysis area:

[0089] Assessment of sewage quality differences: The sewage collection method coefficient can reflect the impact of different sewage collection methods on sewage quality. For example, indoor sewage collection methods may be relatively easier to control and manage, while outdoor sewage collection methods may be more susceptible to external environmental influences, resulting in differences in sewage quality. This coefficient can help assess the differences in sewage quality generated by different collection methods;

[0090] Drainage management decision-making basis: The sewage collection method coefficient can provide an important basis for drainage system management. Understanding the sewage collection method will help to develop more suitable drainage pipes and treatment facilities to adapt to different drainage conditions and improve system efficiency;

[0091] Environmental impact analysis: Indoor and outdoor sewage collection methods may have different impacts on the surrounding environment. This coefficient helps to evaluate the impact of sewage on the environment under different collection methods and provide a reference for environmental protection and improvement;

[0092] Planning and improvement guidance: Understanding the areas with different sewage collection coefficients can provide guidance for urban planning and drainage system improvements. For example, for areas with high outdoor sewage collection coefficients, it may be necessary to strengthen the anti-pollution capacity of drainage facilities or adopt more effective treatment methods;

[0093] The following is a method for obtaining the specific water collection coefficient:

[0094] The water collection method coefficient FS x It is defined as a binary decision variable, indicating whether the sewage collection method is open air or indoor. When it is open air, FS x =0, when indoors, FS x =1.

[0095] Step S30: Classify the various areas of the urban drainage system into categories including direct drainage areas, medium drainage areas, and poor drainage areas.

[0096] The sewage collection method coefficient, street cleanliness score, and building type score obtained by analysis and calculation are dimensionless, and the regional sewage quality index is generated after removing the unit. The regional sewage quality index is calibrated as ZL x , the following is the regional water quality index calculation formula: ZL x =γ1FS x (γ2LX z +γ3JD e )+γ4, where ZL x is the regional sewage quality index, γ1, γ2, γ3, γ4 are proportional coefficients, and γ1, γ2, γ3, γ4 are greater than 0.

[0097] From the formula, we can see that the larger the street cleanliness score and the larger the building type score, that is, the larger the performance value of the regional sewage quality index, the worse the regional sewage quality; the smaller the street cleanliness score and the smaller the building type score, that is, the smaller the performance value of the regional sewage quality index, the better the regional sewage quality.

[0098] The regional sewage quality index is compared with the first threshold of regional type assessment and the second threshold of regional type assessment. The first threshold of regional type assessment is greater than the second threshold of regional type assessment. The areas divided into different regions are classified according to the comparison results.

[0099] After obtaining the generated regional sewage quality index, the generated regional sewage quality index is compared with the first threshold of regional type assessment and the second threshold of regional type assessment. When the regional sewage quality index is less than or equal to the first threshold of regional type assessment and greater than the second threshold of regional type assessment, the region is classified as a medium sewage area, and the sewage quality collected in the area is medium;

[0100] When the regional sewage quality index is greater than the first threshold of regional type assessment, the region is classified as a poor-quality sewage area, and the sewage collected in this area is of poor quality and must be filtered before it can be discharged;

[0101] When the regional sewage quality index is less than the second threshold of regional type assessment, the region is classified as a drainage area and the sewage collected in the area can be discharged directly.

[0102] This embodiment realizes intelligent management of the urban drainage system through urban area division and accurate data collection. By analyzing data such as building type, street cleanliness and sewage collection method, the area is divided into direct drainage, medium drainage and poor drainage areas, and a specific treatment plan is provided for each area, which effectively reduces resource waste, optimizes drainage quality, prevents system failures, and ensures the long-term and efficient operation of the drainage system. It not only improves the efficiency of the drainage system, but also provides important support for environmental protection and urban planning.

[0103] Example 2, Example 1, divides the urban areas into three categories, so that the sewage in the direct discharge area can omit the filtering and treatment step, thereby improving the drainage efficiency. However, when encountering heavy rain, floods, etc., the urban drainage system is easily overloaded. The present invention further improves the drainage efficiency and risk resistance by temporarily classifying the medium sewage areas that have been judged as direct discharge areas.

[0104] Step S40, collect hydrological data of various areas of the city in real time. When the urban drainage system is overloaded, determine whether to temporarily classify the medium-quality drainage area as a direct discharge area based on the hydrological data, the proportion of poor-quality drainage areas, and the drainage situation data of medium-quality drainage areas.

[0105] Specific hydrological data include hydrological characteristic coefficients, which play a key role in analyzing whether medium-sized water discharge areas can be temporarily discharged. The hydrological characteristic coefficients play the following roles in analyzing whether medium-sized water discharge areas can be temporarily discharged:

[0106] Judgment basis for temporary discharge: Hydrological characteristic coefficients provide evaluation criteria for temporary discharge in medium-sized drainage areas. By analyzing these coefficients, it can be determined whether medium-sized drainage areas are suitable for temporary conversion to direct discharge areas in the event of overload of the drainage system, thereby reducing the burden on the system;

[0107] Flow and load management: Hydrological characteristic coefficients reflect the data of water flow, pressure and hydrological characteristics, which are crucial for the load management of drainage systems. Through these coefficients, we can better understand the current operating status of the drainage system, evaluate its capacity and carrying capacity, and make more accurate temporary discharge decisions;

[0108] Predictive maintenance: Using hydrological characteristic coefficients for analysis can predict the pressure that the drainage system may face in the future. This helps to formulate maintenance plans and preventive measures in advance, reducing the risk of system failures and emergencies;

[0109] System optimization and stability: Hydrological characteristic coefficient analysis helps optimize the operation of the drainage system to make it more stable and efficient. By understanding the hydrological characteristics such as flow changes and pressure conditions, the drainage method of the system can be adjusted to improve the stability and efficiency of the system.

[0110] The following is a specific method for obtaining the hydrological characteristic coefficient:

[0111] Use evaporometers and weather stations to record the evaporation rate in urban areas, obtain the rainfall rate in urban areas through rainfall recorders, measure the drainage rate through flow meters, and divide the evaporation rate by the sum of the rainfall rate and the drainage rate to obtain the hydrological characteristic coefficient. The following is a feasible calculation formula for the hydrological characteristic coefficient: Where SW t is the hydrological characteristic coefficient, ZF s is the evaporation rate, JY S is the rainfall rate, PS s is the drainage rate.

[0112] The data of the proportion of poor quality sewage areas include the proportion coefficient of poor quality sewage, which plays a key role in the sewage situation in the analysis area. The proportion coefficient of poor quality sewage indicates the proportion of poor quality sewage collected by multiple independent sewer entrances of units in the medium sewage area. For example, there may be multiple building types in a building. Although the whole building belongs to the medium sewage area, there may be sewage generated by building types in the building that is of poor quality. The building type score has the following effects on the sewage situation in the analysis area:

[0113] Assessment of sewage quality: The coefficient of the proportion of poor-quality sewage can provide an assessment of the water quality in the area. It reflects the relative proportion of poor-quality sewage in the medium-quality sewage area, indicating that some inlets in the area may have a high degree of pollution;

[0114] Sewage source identification: This coefficient helps to identify the source of sewage. For some independent sewer inlets in medium-quality sewage areas, a high coefficient of poor quality sewage may mean sewage from certain specific sources, which can help determine which buildings or activities may be the main source of pollution;

[0115] Wastewater treatment decision: After determining the proportion of low-quality sewage, a more appropriate sewage treatment method can be selected in a targeted manner. For inlets with higher pollution levels, more stringent sewage treatment measures may be required to ensure that the discharged water quality meets the standards;

[0116] Regional pollution control: This coefficient provides a better understanding of the pollution situation at some inlets within the medium-sized drainage area, so that measures can be taken to control and reduce the discharge of pollutants and improve the overall water quality of the region.

[0117] The following is a specific method for obtaining the coefficient of the proportion of inferior water:

[0118] According to the method for calculating the regional water quality index in Example 1, the regional water quality index of a single building type is calculated and compared with the second threshold of the regional type assessment. The number of single building types in the divided area whose regional water quality index is greater than the second threshold of the regional type assessment is divided by the total number of single building types to obtain the poor quality water ratio coefficient. The following is a feasible method for obtaining the poor quality water ratio coefficient Where ZB k is the coefficient of proportion of inferior water, LZ s is the number of individual building types for which the regional water quality index is greater than the second threshold for regional type assessment, ZO s is the total number of individual building types.

[0119] The coefficient of proportion of poor-quality drainage, hydrological characteristic coefficient, and regional drainage quality index obtained by analysis and calculation are dimensionless, and the temporary drainage judgment index is generated after removing the unit. The temporary drainage judgment index is calibrated as PD x , the following is a feasible demand judgment index calculation formula: Where PD x is the temporary drainage judgment index, α, β, and γ are the coefficients of poor quality drainage proportion ZB k , hydrological characteristic coefficient JL x The preset proportionality factor SW t , Regional water quality index ZL x The preset ratio parameters are as follows, and α, β, and γ are greater than 0.

[0120] A critical threshold of the temporary drainage judgment index is set. When the temporary drainage judgment index of the medium drainage area is greater than the critical threshold of the temporary drainage judgment index, the medium drainage area is temporarily classified as a direct drainage area.

[0121] This embodiment uses real-time collected urban hydrological data to flexibly adjust the classification of medium-sized drainage areas according to system load conditions and drainage quality indicators, and temporarily classifies some areas as direct drainage areas, thereby improving urban drainage efficiency. Through the analysis of hydrological characteristic coefficients and the use of data on the proportion of poor-quality drainage, the risk resistance and regional water quality can be improved. Real-time data and dynamically adjusted drainage systems can effectively reduce system loads, optimize water resource utilization, and provide a more flexible and efficient regional division solution.

[0122] Embodiment 3, a method and system for regional division in the field of hydrological simulation, comprising a regional identification module, a data acquisition module, a data analysis module, a regional classification module, and an emergency control module, wherein the modules are interconnected;

[0123] Area identification module: used to divide the city into areas and record them in the system;

[0124] Data collection module: collects data on building types, sewage collection methods, and street cleanliness;

[0125] Data analysis module: used to calculate and analyze the building type score, sewage collection method coefficient, road cleanliness score, and combine them to generate the regional sewage quality index;

[0126] Regional classification module: compare the regional water quality index with the preset first threshold of regional type assessment and the second threshold of regional type assessment. If the first threshold of regional type assessment is greater than the second threshold of regional type assessment, the regions divided into different areas are classified according to the comparison result; compare the generated regional water quality index with the first threshold of regional type assessment and the second threshold of regional type assessment. When the regional water quality index is less than or equal to the first threshold of regional type assessment and greater than the second threshold of regional type assessment, the region is divided into a medium water quality area; when the regional water quality index is greater than the first threshold of regional type assessment, the region is divided into a poor quality water quality area; when the regional water quality index is less than the second threshold of regional type assessment, the region is divided into a drainage area;

[0127] Emergency control module: timely collect hydrological data from various areas of the city. When the urban drainage system is overloaded, determine whether to temporarily classify the medium-quality drainage area as a direct discharge area based on the hydrological data, the proportion of poor-quality drainage areas, and the drainage situation data of medium-quality drainage areas.

[0128] The above formulas are all dimensionless and numerical calculations. The formula is a formula for the most recent real situation obtained by collecting a large amount of data and performing software simulation. The preset parameters in the formula are set by technicians in this field according to actual conditions.

[0129] The above embodiments may be implemented in whole or in part by software, hardware, firmware or any other combination. When implemented by software, the above embodiments may be implemented in whole or in part in the form of a computer program product.

[0130] Those of ordinary skill in the art will appreciate that the modules and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0131] In addition, each functional module in each embodiment of the present application may be integrated into one processing module, or each module may exist physically separately, or two or more modules may be integrated into one module.

[0132] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

[0133] Finally: The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for regional division in the field of hydrological simulation, characterized in that: The steps include: Step S10, dividing the urban drainage system into regions based on buildings, road sections, and sites; Step S20, collecting drainage data of each area of ​​the urban drainage system; Step S30, classifying various areas of the urban drainage system, the area categories include direct drainage area, medium drainage area, and poor drainage area; Step S40, collecting hydrological data of various areas of the city in real time. When the urban drainage system is overloaded, judging whether to temporarily classify the medium-quality drainage area as a direct drainage area based on the hydrological data, the proportion of poor-quality drainage areas, and the drainage situation data of the medium-quality drainage area; In step S20, the specific method for obtaining the water collection mode coefficient is as follows: The water collection method coefficient FS x It is defined as a binary decision variable, indicating whether the sewage collection method is open air or indoor. When it is open air, FS x =0, when indoors, FS x =1; The following is how to obtain specific building type scores: When the area is divided into sections or sites, let the building type score LX z =0; when the area division is based on buildings, the building function type of the building and the proportion of the types contained in the building are obtained through the local real estate database. The evaluation model constructed by the Logistic regression analysis method is used to conduct an overall analysis of the building function type of the building. The Logistic exponential equation is: Where LX z The building type score, LX1...LX n The types of specific buildings; α1…α n is the regression coefficient of each variable, is the proportion of the type contained in the corresponding building; Here’s how to get your street cleanliness score: When the area is divided into buildings, let the street cleanliness score JD e =0; When the area is divided into sections and sites, set the street cleanliness benchmark score and mark it as JD 基 ; Collect the number of floating population in the road section and venue in a time period; The floating population is divided into sporadic, small, and large. When the floating population is sporadic, JD1 points are added, when the floating population is large, JD2 points are subtracted, when the floating population is small, no points are added or subtracted, when the floating population is sporadic, JD2 = 0, when the floating population is small, JD1 = 0, JD2 = 0; when the floating population is large, JD1 = 0; through the formula JD 基 +JD1-JD2=JD 人 , calculate the flow score JD 人 ; In the formula, JD1 is the increase value when the number of floating population is sporadic; JD2 is the decrease value when the number of floating population is large; Set the vendor base score and mark it as Fj 基 , collect the number of vendors on the road section and the venue in a time period, when the number of vendors is lower than the preset value A1 and greater than zero, add Fj1 points, when the number of vendors is between A1 and A2, add Fj2 points, when the number of vendors is higher than A2, add Fj3 points, when the number of vendors is lower than the preset value A1 and greater than zero, Fj2 and Fj3 are both 0, when the number of vendors is between A1 and A2, Fj1 and Fj3 are both 0, when the number of vendors is higher than A2, Fj1 and Fj2 are 0; through the formula Fj 基 +Fj1+Fj2+Fj3=Fj 商 Get the merchant score Fj 商 ; Assign JD points to street cleanliness benchmark 基 A correction value θ i , giving vendors a benchmark score Fj 商 A correction value δ i ,θ i >δ i ,θ i +δ i =1; through the formula JD 人 *θ i +Fj 商 *δ i =JD e , get the street cleanliness score JD e ; In step S30, the specific classification method is as follows: The sewage collection method coefficient, street cleanliness score, and building type score obtained by analysis and calculation are dimensionless, and the weighted sum is taken after removing the unit to generate the regional sewage quality index; The regional water quality index is compared with the first threshold of regional type assessment and the second threshold of regional type assessment, the first threshold of regional type assessment is greater than the second threshold of regional type assessment, and the regions divided into different areas are classified according to the comparison results; The generated regional water quality index is compared with the first threshold of regional type assessment and the second threshold of regional type assessment. When the regional water quality index is less than or equal to the first threshold of regional type assessment and greater than the second threshold of regional type assessment, the region is classified as a medium water quality region. When the regional water quality index is greater than the first threshold of regional type assessment, the region is classified as a poor-quality water quality region; When the regional water quality index is less than the second threshold of regional type assessment, the region is classified as a drainage area.

2. A method for regional division in the field of hydrological simulation according to claim 1, characterized in that: In step S10, the specific area division method is: divide the city into various small areas, and each small area is based on independent buildings, single road sections and independent sites.

3. A method for regional division in the field of hydrological simulation according to claim 2, characterized in that: In step S20, the sewage condition data includes building type data, sewage collection method data, and street cleanliness data. The building type data includes the building type score, the sewage collection method data includes the sewage collection method coefficient, and the street cleanliness data includes the street cleanliness score. After collection, the building type score, the sewage collection method coefficient, and the street cleanliness score are calibrated as LX z , FS x ,JD e .

4. A method for regional division in the field of hydrological simulation according to claim 3, characterized in that: In step S40, the hydrological data includes a hydrological characteristic coefficient, and the data on the proportion of poor-quality water areas includes a coefficient of the proportion of poor-quality water areas; The following is a specific method for obtaining the hydrological characteristic coefficient: Use evaporimeter and weather station to record the evaporation rate of urban area, obtain the rainfall rate of urban area through rainfall recorder, measure the drainage rate through flow meter, divide the evaporation rate by the sum of rainfall rate and drainage rate to obtain the hydrological characteristic coefficient; The following is a specific method for obtaining the coefficient of the proportion of inferior water: According to the method for calculating the regional water quality index in step S30, the regional water quality index of the individual building type is calculated, and compared with the second threshold value of the regional type assessment, and the number of individual building types in the divided area whose regional water quality index is greater than the second threshold value of the regional type assessment is divided by the total number of individual building types to obtain the poor quality water ratio coefficient; The coefficient of proportion of inferior sewage, hydrological characteristic coefficient and regional sewage quality index obtained through analysis and calculation are dimensionless, and the weighted summation after removing the unit generates a temporary drainage judgment index. When the urban drainage system is overloaded, the temporary drainage judgment index of the medium sewage area is compared with the preset critical threshold of the temporary drainage judgment index. When the temporary drainage judgment index of the medium sewage area is greater than the critical threshold of the temporary drainage judgment index, the medium sewage area is temporarily classified as a direct discharge area.

5. A regional division system for hydrological simulation, used to implement a regional division method for hydrological simulation as claimed in any one of claims 1 to 4, characterized in that: It includes a regional identification module, a data collection module, a data analysis module, a regional classification module, and an emergency control module, and the modules are interconnected; Area identification module: used to divide the city into areas and record them in the system; Data collection module: collects data on building types, sewage collection methods, and street cleanliness; Data analysis module: used to calculate and analyze building type scores, sewage collection method coefficients, street cleanliness scores, and combine them to generate a regional sewage quality index; Regional classification module: compare the regional water quality index with the preset first threshold of regional type assessment and the second threshold of regional type assessment. If the first threshold of regional type assessment is greater than the second threshold of regional type assessment, the regions divided into different areas are classified according to the comparison result; compare the generated regional water quality index with the first threshold of regional type assessment and the second threshold of regional type assessment. When the regional water quality index is less than or equal to the first threshold of regional type assessment and greater than the second threshold of regional type assessment, the region is divided into a medium water quality area; when the regional water quality index is greater than the first threshold of regional type assessment, the region is divided into a poor quality water quality area; when the regional water quality index is less than the second threshold of regional type assessment, the region is divided into a drainage area; Emergency control module: timely collect hydrological data from various areas of the city. When the urban drainage system is overloaded, determine whether to temporarily classify the medium-quality drainage area as a direct discharge area based on the hydrological data, the proportion of poor-quality drainage areas, and the drainage situation data of medium-quality drainage areas.

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