A method, system, terminal and storage medium for simulating health risks of new pollutants in the process of recycled water utilization

Abstract

The present invention discloses a method, system, terminal and storage medium for simulating the health risks of new pollutants in the process of recycled water utilization. The method includes: constructing a new pollutant concentration data set in urban sewage, simulating the concentration of new pollutants in recycled water, simulating the concentration of new pollutants in soil-crop tissues, and simulating the health risks of new pollutants exposed to the human food web. The present invention is to construct a cross-medium material flow simulation method for the whole process of new pollutants from sewage recycling treatment, crop absorption and accumulation to human exposure, and consider the way that new pollutants accumulated by crops are exposed to the human body through dietary intake, coupled with a health risk simulation method based on endpoint damage, and realize a comprehensive and systematic simulation of the health risks of recycled water irrigation, which can greatly reduce the investment of manpower and material resources and greatly improve work efficiency.

Description

Technical Field

[0001] The present invention relates to the field of data processing technology, and in particular to a method, system, terminal and computer-readable storage medium for simulating health risks of new pollutants in a recycled water utilization process. Background Art

[0002] New pollutants refer to toxic and hazardous chemical substances that are discharged into the environment and have characteristics such as biological toxicity, environmental persistence, and bioaccumulation. They pose great risks to the ecological environment or human health, but have not yet been included in management or the existing management measures are insufficient. New pollutants involve a wide range of areas and are closely related to economic development, production and life. Urban sewage and its treatment facilities are important channels and barriers for their discharge into the natural environment. However, for a long time, the main purpose of urban sewage treatment and recycling systems has been the removal of organic matter, nitrogen, and phosphorus, and there is a lack of effective treatment measures for new pollutants. Therefore, the migration of new pollutants and their health risks in the process of recycled water irrigation have become key issues affecting the safe use of recycled water for irrigation.

[0003] The process of recycled water irrigation involves multiple media such as water, soil, and crops. Scientifically and comprehensively simulating the migration of new pollutants in them requires the construction of cross-media technical methods to provide reliable data support for the subsequent simulation and assessment of health risks. The existing technology mainly adopts the method of field sampling combined with experimental analysis to simulate the migration of new pollutants in the process of recycled water irrigation. However, the detection of new pollutants in a multi-media environment is very complicated and difficult. On the one hand, the physical and chemical properties of these media are different, resulting in large differences in the concentration of new pollutants in them. The existing detection and analysis methods have certain limitations. On the other hand, there are many types of new pollutants, and their detection requires the comprehensive use of multiple technical methods. It has the characteristics of complex sample processing procedures and time-consuming detection and analysis. Comprehensive and systematic work requires a lot of manpower and material resources. Therefore, the existing technology is mostly aimed at a single process or utilization link, and it is difficult to systematically analyze and simulate the entire process of sewage regeneration, irrigation utilization, and crop absorption; especially for the absorption process of crops for new pollutants, the existing technical methods need to be based on field experiments combined with laboratory analysis, with many uncontrollable factors, long analysis time, and cumbersome detection procedures.

[0004] Therefore, the prior art still needs to be improved and developed. Summary of the invention

[0005] The main purpose of the present invention is to provide a method, system, terminal and computer-readable storage medium for simulating the health risks of new pollutants in the process of recycled water utilization, aiming to solve the problems in the prior art of simulating the migration of new pollutants in the process of recycled water irrigation utilization, which mainly adopts the method of field sampling combined with experimental analysis, has many uncontrollable factors, time-consuming analysis and cumbersome detection procedures.

[0006] To achieve the above object, the present invention provides a method for simulating the health risks of new pollutants in the process of recycled water utilization, and the method for simulating the health risks of new pollutants in the process of recycled water utilization comprises the following steps:

[0007] Construct a new pollutant concentration dataset in urban sewage and a regeneration treatment process removal rate dataset;

[0008] Calculating probability distribution data of new pollutant concentration in reclaimed water according to the new pollutant concentration data set and the regeneration treatment process removal rate data set;

[0009] Constructing a new pollution physical and chemical characteristic data set and a reclaimed water irrigation area agronomic information data set, and outputting the probability distribution data of the accumulation concentration of the new pollutants in the irrigated soil and various tissue parts of the crops according to the probability distribution data of the concentration of the new pollutants in the reclaimed water, the new pollution physical and chemical characteristic data set and the reclaimed water irrigation area agronomic information data set;

[0010] Obtain the accumulation concentration of the new pollutant in the edible part of the crop from the probability distribution data of the accumulation concentration of the new pollutant in the irrigated soil and various tissue parts of the crop, and calculate the mass of the new pollutant that may be exposed to the human food web after being absorbed and accumulated by the crop based on the crop yield in the reclaimed water irrigation area and the accumulation concentration of the new pollutant in the edible part of the crop;

[0011] A data set of toxic effects of new pollutants is constructed to simulate the health risks caused by exposure of new pollutants to the human food web based on the mass of the new pollutants that may be exposed to the human food web after being absorbed and accumulated by crops and the data set of toxic effects of new pollutants.

[0012] In addition, to achieve the above-mentioned purpose, the present invention also provides a new pollutant health risk simulation system in the process of recycled water utilization, wherein the new pollutant health risk simulation system in the process of recycled water utilization comprises:

[0013] The dataset construction module is used to construct a dataset of new pollutant concentrations in urban sewage and a dataset of removal rates of regeneration treatment processes;

[0014] A first probability distribution data calculation module is used to calculate the probability distribution data of the new pollutant concentration in the reclaimed water according to the new pollutant concentration data set and the regeneration process removal rate data set;

[0015] The second probability distribution data calculation module is used to construct a new pollution physical and chemical characteristic data set and a reclaimed water irrigation area agronomic information data set, and output the probability distribution data of the accumulation concentration of new pollutants in the irrigation soil and various tissue parts of crops according to the probability distribution data of the concentration of new pollutants in the reclaimed water, the new pollution physical and chemical characteristic data set and the reclaimed water irrigation area agronomic information data set;

[0016] A mass calculation module, which obtains the accumulation concentration of the new pollutant in the edible part of the crop from the probability distribution data of the accumulation concentration of the new pollutant in the irrigated soil and various tissue parts of the crop, and calculates the mass of the new pollutant that may be exposed to the human food web after being absorbed and accumulated by the crop based on the crop yield in the recycled water irrigation area and the accumulation concentration of the new pollutant in the edible part of the crop;

[0017] The health risk simulation module is used to construct a data set of toxic effects of new pollutants, and simulate the health risks caused by exposure of new pollutants to the human food web based on the mass of the new pollutants that may be exposed to the human food web after being absorbed and accumulated by crops and the data set of toxic effects of new pollutants.

[0018] In addition, to achieve the above-mentioned purpose, the present invention also provides a terminal, wherein the terminal includes: a memory, a processor, and a new pollutant health risk simulation program in the recycled water utilization process stored in the memory and executable on the processor, wherein the new pollutant health risk simulation program in the recycled water utilization process implements the steps of the new pollutant health risk simulation method in the recycled water utilization process as described above when the new pollutant health risk simulation program in the recycled water utilization process is executed by the processor.

[0019] In addition, to achieve the above-mentioned purpose, the present invention also provides a computer-readable storage medium, wherein the computer-readable storage medium stores a health risk simulation program for new pollutants in the process of recycled water utilization, and when the health risk simulation program for new pollutants in the process of recycled water utilization is executed by a processor, the steps of the health risk simulation method for new pollutants in the process of recycled water utilization as described above are implemented.

[0020] In the present invention, a new pollutant concentration data set in urban sewage and a regeneration treatment process removal rate data set are constructed; based on the new pollutant concentration data set and the regeneration treatment process removal rate data set, the probability distribution data of the new pollutant concentration in the regenerated water is calculated; a new pollutant physical and chemical characteristic data set and a regeneration water irrigation and utilization area agronomic information data set are constructed, and based on the probability distribution data of the new pollutant concentration in the regenerated water, the new pollutant physical and chemical characteristic data set and the regeneration water irrigation and utilization area agronomic information data set, the probability distribution data of the accumulation concentration of the new pollutant in the irrigated soil and various tissue parts of the crop are output; the accumulation concentration of the new pollutant in the edible part of the crop in the probability distribution data of the accumulation concentration of the new pollutant in the irrigated soil and various tissue parts of the crop is obtained, and based on the crop yield in the regenerated water irrigation area and the accumulation concentration of the new pollutant in the edible part of the crop, the mass of the new pollutant that may be exposed to the human food web after being absorbed and accumulated by the crop is calculated; a new pollutant toxic effect data set is constructed, and based on the mass of the new pollutant that may be exposed to the human food web after being absorbed and accumulated by the crop and the new pollutant toxic effect data set, the health risks caused by the exposure of the new pollutant to the human food web are simulated. The present invention aims to construct a cross-media material flow simulation method for the entire process of new pollutants from sewage recycling and treatment, crop absorption and accumulation to human exposure, and consider the exposure of new pollutants accumulated by crops to the human body through dietary intake. It is coupled with a health risk simulation method based on endpoint damage, and realizes a comprehensive and systematic simulation of the health risks of recycled water irrigation, which can greatly reduce the input of manpower and material resources and greatly improve work efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 It is a flow chart of a preferred embodiment of the method for simulating health risks of new pollutants in the process of recycled water utilization of the present invention;

[0022] Figure 2 It is a structural diagram of a preferred embodiment of the health risk simulation system for new pollutants in the process of recycled water utilization of the present invention;

[0023] Figure 3 It is a structural diagram of a preferred embodiment of the terminal of the present invention. DETAILED DESCRIPTION

[0024] In order to make the purpose, technical solution and advantages of the present invention clearer and more specific, the present invention is further described in detail below with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0025] The method for simulating health risks of new pollutants in the process of reclaimed water utilization described in the preferred embodiment of the present invention is as follows: Figure 1 As shown, the health risk simulation method for new pollutants in the process of recycled water utilization includes the following steps:

[0026] Step S10: constructing a new pollutant concentration data set in urban sewage and a regeneration treatment process removal rate data set.

[0027] Specifically, the step S10 of constructing a new pollutant concentration dataset in urban sewage specifically includes:

[0028] Step S111, collecting new pollutant concentration data of urban sewage, wherein the new pollutant concentration data of urban sewage includes the types of new pollutants and the corresponding concentration variation ranges; common data sources include sewage plant operation reports, public monitoring platforms and scientific literature.

[0029] Step S112, the collected data on the concentration of new pollutants in urban sewage are stored and organized according to a preset format; usually, the collected data can be stored and organized in a csv or xlsx table file format; because new pollutants are of various types and their concentration levels vary greatly, the Chinese and English names, CAS numbers and classification names of the new pollutants should be recorded at the same time, and the original units of the concentration data and their probability distribution types should be marked.

[0030] Step S113: for a specific new pollutant , the new pollutants The probability distribution of the concentration data is recorded as If new pollutants If there are multiple concentration data, the Monte Carlo method is used to find new pollutants The probability distribution of the mean value of .

[0031] Step S114: construct a new pollutant concentration data set in urban sewage based on the collected new pollutant concentration data in urban sewage.

[0032] Specifically, the step S10 of constructing the regeneration process removal rate data set specifically includes:

[0033] Step S121, collect new pollutant removal efficiency data of the regeneration treatment process, the new pollutant removal efficiency data of the regeneration treatment process includes the name of the regeneration treatment process and the corresponding new pollutant removal rate variation range; common data sources include sewage plant operation reports, public monitoring platforms and scientific and technological literature.

[0034] Step S122: For a regeneration process , the regeneration process A new pollutant The probability distribution of the removal rate data is recorded as .

[0035] Step S123: If the regeneration process If there are multiple removal rate data, the Monte Carlo method is used to find the regeneration process The probability distribution of the mean value is If the removal rate data is missing, the regeneration process The removal rate data for other new pollutants of the same type are provided as supplement.

[0036] Step S124: construct a regeneration process removal rate data set based on the collected new pollutant removal efficiency data of the regeneration process.

[0037] Step S20: Calculate the probability distribution data of the new pollutant concentration in the reclaimed water according to the new pollutant concentration data set and the regeneration process removal rate data set.

[0038] Specifically, the probability distribution data of the new pollutant concentration in the reclaimed water is calculated based on the Monte Carlo method according to the new pollutant concentration data set and the regeneration treatment process removal rate data set:

[0039] ; (1)

[0040] in, Indicates new pollutants The probability distribution of the concentration data is Regeneration process A new pollutant The probability distribution of the removal rate data, Data representing the probability distribution of new pollutant concentrations in reclaimed water.

[0041] Step S30, construct a new pollution physical and chemical characteristic data set and a recycled water irrigation utilization area agronomic information data set, and output the probability distribution data of the accumulation concentration of new pollutants in irrigation soil and various tissue parts of crops based on the probability distribution data of the concentration of new pollutants in the recycled water, the new pollution physical and chemical characteristic data set and the recycled water irrigation utilization area agronomic information data set.

[0042] Specifically, the step S30 includes:

[0043] Step S31, collecting physical and chemical characteristic data of new pollution, wherein the physical and chemical characteristic data of new pollution include relative molecular mass, octanol-water partition coefficient, gas-liquid partition coefficient, dissociation constant, acidity and alkalinity, electronic valence state and soil degradation rate, and constructing a new pollution physical and chemical characteristic data set according to the collected physical and chemical characteristic data of new pollution; according to the type information of new pollutants collected in step S10, collecting their physical and chemical characteristic data one by one, and the relevant data mainly come from multiple international public databases, including the EPI Suite (full name Estimation Programs Interface) developed by the Environmental Protection Agency of a certain country, the USESLCA database, the Chemicalize material chemical structure information database and the Drugbank comprehensive drug database, and can also be obtained by investigating scientific and technological literature.

[0044] Step S32: constructing a data set of agronomic information of the area where recycled water is irrigated, wherein the data set of agronomic information of the area where recycled water is irrigated includes a data set of crop planting, a data set of crop growth characteristics, irrigation system information, a data set of meteorological conditions, and a data set of soil conditions; specifically, the data in Table 1 are as follows:

[0045] Table 1: Data table of regional agronomic information dataset for recycled water irrigation

[0046]

[0047] The specific data items and main data sources are as follows:

[0048] a) Collect crop planting data in areas where recycled water is used for irrigation, including major crop types and their planting areas, planting methods (crop rotation or cropping system) and yield per unit area. The relevant data mainly come from the rural economic statistical yearbook of specific regions.

[0049] b) Collect crop growth characteristic data, including growth period (germination and harvest date) and transpiration coefficient, as well as water content, initial and final weight, and growth rate data of the four major tissue parts: roots, stems, leaves, and fruits. The relevant data mainly come from scientific and technological literature.

[0050] c) Collect information on irrigation systems for crops in areas where recycled water is used for irrigation, including crop irrigation water intensity, irrigation dates, and irrigation times. Relevant data can be sourced from regional survey questionnaires, statistical yearbooks, and scientific and technological literature.

[0051] d) Collect meteorological condition data for areas where recycled water is used for irrigation, including rainfall, potential evaporation, surface runoff, ground temperature, soil temperature, maximum temperature, minimum temperature, and relative humidity. Relevant data can be queried by geographical region at the National Meteorological Information Center; among them, potential evaporation can be estimated based on the Hargreaves-Samani method, surface runoff can be estimated based on rainfall, and the temperature of different soil layers can be estimated based on the surface temperature using linear interpolation method according to the soil layer thickness.

[0052] e) Collect soil condition data in areas where recycled water is used for irrigation, including soil density, moisture content, field holding capacity and wilting point. The relevant data mainly come from scientific and technological literature.

[0053] Step S33: According to the specific types of new pollutants, types of regeneration treatment processes and types of crops, the probability distribution data of the concentration of new pollutants in the regenerated water, the physical and chemical characteristics data set of the new pollution and the agronomic information data set of the regenerated water irrigation area are called up and input into the PLANTX crop absorption simulation model (an existing trained model).

[0054] Step S34: Based on the Monte Carlo simulation method, the PLANTX crop absorption simulation model is run to output the probability distribution data of the accumulation concentration of new pollutants in the soil, crop roots, stems, leaves and fruits.

[0055] In addition, for the simulation of the accumulated concentration of the same new pollutant in different crops, the crop planting, growth, and irrigation system data sets are changed according to the specific crop types, and then the PLANTX crop absorption simulation model is run; for the simulation of the accumulated concentration of different new pollutants in the same crop, the new pollutant concentration probability distribution data and physical and chemical characteristics data sets are changed according to the specific new pollutant types, and then the PLANTX crop absorption simulation model is run.

[0056] Step S40, obtaining the accumulation concentration of the new pollutant in the edible part of the crop from the probability distribution data of the accumulation concentration of the new pollutant in the irrigated soil and various tissue parts of the crop, and based on the crop yield in the recycled water irrigation area and the accumulation concentration of the new pollutant in the edible part of the crop, calculating the mass of the new pollutant that may be exposed to the human food web after being absorbed and accumulated by the crop.

[0057] Specifically, depending on the crop type, the accumulation concentration of new pollutants in the edible parts of the crop is called Calculate the potential exposure of new pollutants to humans through dietary intake after they are absorbed and accumulated by crops. :

[0058] ; (2)

[0059] in, It represents the crop yield per unit area. Indicates the irrigated area of ​​the crop.

[0060] Step S50, constructing a new pollutant toxic effect data set, and simulating the health risks caused by exposure of the new pollutant to the human food web based on the mass of the new pollutant that may be exposed to the human food web after being absorbed and accumulated by crops and the new pollutant toxic effect data set.

[0061] Specifically, the step S50 includes:

[0062] Step S51: Collect toxic effect data of new pollutants. The toxic effect data of new pollutants include effect factors based on midpoint level and damage factors based on endpoint level. The former refers to the increased probability of illness caused by the intake of a certain unit mass of pollutants, which is divided into carcinogenic effect factors and and non-carcinogenic effectors , with the unit of cases / kg, and the latter represents the level of damage caused by the disease to human health, which is also divided into carcinogenic damage factors and non-carcinogenic damaging factors , with values ​​of 11.5 DALYs / cases and 2.7 DALYs / cases respectively. The relevant data are all derived from the USEtox toxic effect simulation model.

[0063] Step S52: According to the type of new pollutant, call the new pollutant toxicity effect data set, based on the quality , respectively calculate the health risks caused by carcinogenic toxic effects Health risks from non-carcinogenic toxic effects :

[0064] ; (3)

[0065] ; (4)

[0066] Step S53: For the complex effects of the combined health risks of multiple new pollutants in the same crop, existing studies have not yet reached a clear and unified conclusion on the combined mechanism. Common combined mechanisms include linear superposition, dominance and independent effects. The linear superposition model is used to simulate the carcinogenic health risks caused by the accumulation of multiple new pollutants in the same crop. and non-cancer health risks :

[0067] ; (5)

[0068] ; (6)

[0069] Step S54: output the evaluation results of the carcinogenic health risks and non-carcinogenic health risks caused by the accumulation of multiple new pollutants in the same crop.

[0070] In response to the health risk problem caused by the migration and accumulation of new pollutants during the use of recycled water for irrigation, the present invention provides a new pollutant material flow and health risk simulation method for a multi-media cross-system of "recycled water-soil-crops-human body". This method integrates the monitoring data of new pollutants in urban sewage, the efficiency data of recycling process treatment, and the agronomic information data of recycled water irrigation areas, and uses a crop absorption model based on a cascade perspective to simulate the concentration distribution of new pollutants in the edible parts of crops to assess the health risks caused by their exposure to the human food web. Based on a comprehensive system perspective, the present invention proposes a method framework with data-driven as the core, and establishes clear technical steps, which can economically and efficiently simulate the cross-media migration process of new pollutants in the process of recycled water irrigation, comprehensively assess the human health risks of new pollutants, and provide key methods and important basis for building a strategy for the safe use of recycled water.

[0071] Compared with the prior art, the present invention has the following key differences and advantages:

[0072] (1) Regarding the cross-media migration of new pollutants during the use of recycled water for irrigation, the present invention fully considers the difficulties in characterizing it based on experimental methods, and proposes a data-driven simulation method. Through the integration of multivariate data and the construction of a coupling model, as well as a Monte Carlo-based calculation method, the cross-media migration process of new pollutants can be systematically and reliably simulated. Compared with traditional experimental methods, it can greatly reduce the investment in manpower and material resources and greatly improve work efficiency.

[0073] (2) In view of the complexity of the cross-media migration of new pollutants during the use of recycled water for irrigation, the simulation method constructed in the present invention can systematically and comprehensively simulate the complex migration process of new pollutants in water, soil, and crops by coupling the material flow model of sewage regeneration treatment and crop absorption and accumulation process, providing technical support for the scientific assessment of the health risks of recycled water irrigation.

[0074] (3) The present invention adopts a health risk simulation method based on endpoint damage and uses disability-adjusted life years as an indicator for characterization. Compared with the simulation method based on intermediate impacts, the endpoint method adopted by the present invention can provide more intuitive and comparable risk simulation results, which is conducive to the interpretation and analysis of risk simulation results, thereby providing a scientific basis for constructing a strategy for safe irrigation utilization of recycled water.

[0075] (4) The coupling model framework constructed by the present invention has modular characteristics, and the data sets it calls are updatable. With the development of environmental monitoring and chemical analysis technology, the data sets related to the occurrence concentration, physical and chemical characteristics and toxic effects of new pollutants can be further updated and expanded, thereby improving the simulation scope and usability of the model method.

[0076] Furthermore, the core of the present invention is to construct a cross-media material flow simulation method for the whole process of new pollutants from sewage recycling treatment, crop absorption and accumulation to human exposure, and consider the exposure of new pollutants accumulated by crops to the human body through dietary intake, coupled with the health risk simulation method based on endpoint damage, and realize a comprehensive and systematic simulation of the health risks of recycled water irrigation. Among them, the PLANTX mechanism model is used to simulate the absorption and accumulation process of new pollutants by crops, and artificial intelligence algorithms can also be considered as an alternative; but this alternative solution depends on the acquisition of a large amount of experimental data and has high requirements for the accuracy and quality of experimental data. For the health risks caused by the accumulation of new pollutants, the accumulation amount of edible parts can be directly characterized, and compared with the human intake to reflect the health risk situation, thereby forming an alternative simulation method; but this alternative lacks direct quantitative indicators, which is not conducive to the interpretation of simulation results to support the proposal and construction of strategies for the safe use of recycled water.

[0077] Furthermore, if Figure 2 As shown, based on the above-mentioned new pollutant health risk simulation method in the process of recycled water utilization, the present invention also provides a new pollutant health risk simulation system in the process of recycled water utilization, wherein the new pollutant health risk simulation system in the process of recycled water utilization includes:

[0078] A data set construction module 51 is used to construct a new pollutant concentration data set in urban sewage and a regeneration treatment process removal rate data set;

[0079] A first probability distribution data calculation module 52, used to calculate the probability distribution data of the new pollutant concentration in the reclaimed water according to the new pollutant concentration data set and the regeneration process removal rate data set;

[0080] The second probability distribution data calculation module 53 is used to construct a new pollution physical and chemical characteristic data set and a reclaimed water irrigation area agronomic information data set, and output the probability distribution data of the accumulation concentration of the new pollutants in the irrigation soil and various tissue parts of the crops according to the probability distribution data of the new pollutant concentration in the reclaimed water, the new pollution physical and chemical characteristic data set and the reclaimed water irrigation area agronomic information data set;

[0081] The mass calculation module 54 is used to obtain the accumulation concentration of the new pollutant in the edible part of the crop from the probability distribution data of the accumulation concentration of the new pollutant in the irrigated soil and various tissue parts of the crop, and calculate the mass of the new pollutant that may be exposed to the human food web after being absorbed and accumulated by the crop based on the crop yield in the reclaimed water irrigation area and the accumulation concentration of the new pollutant in the edible part of the crop;

[0082] The health risk simulation module 55 is used to construct a new pollutant toxic effect data set, and simulate the health risks caused by the exposure of new pollutants to the human food web based on the mass of the new pollutants that may be exposed to the human food web after being absorbed and accumulated by crops and the new pollutant toxic effect data set.

[0083] Furthermore, if Figure 3 As shown, based on the above-mentioned method and system for simulating health risks of new pollutants in the process of recycled water utilization, the present invention also provides a terminal accordingly, and the terminal includes a processor 10, a memory 20 and a display 30. Figure 3 Only some components of the terminal are shown, but it should be understood that it is not required to implement all of the components shown, and more or fewer components may be implemented instead.

[0084] In some embodiments, the memory 20 may be an internal storage unit of the terminal, such as a hard disk or memory of the terminal. In other embodiments, the memory 20 may also be an external storage device of the terminal, such as a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (SecureDigital, SD) card, a flash card (Flash Card), etc. equipped on the terminal. Further, the memory 20 may also include both an internal storage unit of the terminal and an external storage device. The memory 20 is used to store application software and various types of data installed on the terminal, such as the program code of the installation terminal. The memory 20 may also be used to temporarily store data that has been output or is to be output. In one embodiment, a new pollutant health risk simulation program 40 in the process of recycled water utilization is stored on the memory 20, and the new pollutant health risk simulation program 40 in the process of recycled water utilization can be executed by the processor 10, thereby realizing the new pollutant health risk simulation method in the process of recycled water utilization in this application.

[0085] In some embodiments, the processor 10 may be a central processing unit (CPU), a microprocessor or other data processing chip, used to run the program code or process data stored in the memory 20, such as executing the health risk simulation method for new pollutants in the recycled water utilization process.

[0086] In some embodiments, the display 30 may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, an OLED (Organic Light-Emitting Diode) touch device, etc. The display 30 is used to display information on the terminal and to display a visual user interface. The processor 10, the memory 20, and the display 30 of the terminal communicate with each other via a system bus.

[0087] In one embodiment, when the processor 10 executes the new pollutant health risk simulation program 40 in the recycled water utilization process in the memory 20, the steps of the new pollutant health risk simulation method in the recycled water utilization process described above are implemented.

[0088] The present invention also provides a computer-readable storage medium, wherein the computer-readable storage medium stores a program for simulating the health risks of new pollutants in a process of recycled water utilization, and when the program for simulating the health risks of new pollutants in a process of recycled water utilization is executed by a processor, the steps of the method for simulating the health risks of new pollutants in a process of recycled water utilization as described above are implemented.

[0089] In summary, the present invention provides a method, system, terminal and storage medium for simulating health risks of new pollutants in the process of recycled water utilization. The method includes: constructing a new pollutant concentration data set in urban sewage and a regeneration treatment process removal rate data set; calculating the probability distribution data of the new pollutant concentration in recycled water according to the new pollutant concentration data set and the regeneration treatment process removal rate data set; constructing a new pollution physical and chemical characteristic data set and a regeneration water irrigation utilization area agronomic information data set, and outputting the new pollutant concentration data according to the probability distribution data of the new pollutant concentration in recycled water, the new pollution physical and chemical characteristic data set and the regeneration water irrigation utilization area agronomic information data set. The probability distribution data of the accumulated concentration in the irrigated soil and various tissue parts of the crop; the accumulated concentration of the new pollutant in the edible part of the crop in the probability distribution data of the accumulated concentration of the new pollutant in the irrigated soil and various tissue parts of the crop is obtained, and based on the crop yield in the reclaimed water irrigation area, the accumulated concentration of the new pollutant in the edible part of the crop is calculated, and the mass of the new pollutant that may be exposed to the human food web after being absorbed and accumulated by the crop is calculated; the toxic effect data set of the new pollutant is constructed, and the health risks caused by the exposure of the new pollutant to the human food web are simulated based on the mass of the new pollutant that may be exposed to the human food web after being absorbed and accumulated by the crop and the toxic effect data set of the new pollutant. The present invention is to construct a cross-media material flow simulation method for the whole process of new pollutants from sewage regeneration treatment, crop absorption and accumulation to human exposure, and consider the way that the new pollutants accumulated by crops are exposed to the human body through dietary intake, coupled with the health risk simulation method based on endpoint damage, and realize a comprehensive and systematic simulation of the health risks of reclaimed water irrigation, which can greatly reduce the investment of manpower and material resources and greatly improve work efficiency.

[0090] It should be noted that, in this article, the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article or terminal including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or terminal. In the absence of further restrictions, an element defined by the sentence "includes a ..." does not exclude the existence of other identical elements in the process, method, article or terminal including the element.

[0091] Of course, those skilled in the art can understand that all or part of the processes in the above-mentioned embodiments can be implemented by instructing related hardware (such as a processor, a controller, etc.) through a computer program, and the program can be stored in a computer-readable storage medium that can be read by a computer, and the program can include the processes of the above-mentioned method embodiments when executed. The computer-readable storage medium can be a memory, a disk, an optical disk, etc.

[0092] It should be understood that the application of the present invention is not limited to the above examples. For ordinary technicians in this field, improvements or changes can be made based on the above description. All these improvements and changes should fall within the scope of protection of the claims attached to the present invention.

Claims

1. A method for simulating health risks of new pollutants in the process of recycled water utilization, characterized in that: The health risk simulation method for new pollutants in the recycled water utilization process includes: Construct a new pollutant concentration dataset in urban sewage and a regeneration treatment process removal rate dataset; Calculating probability distribution data of new pollutant concentration in reclaimed water according to the new pollutant concentration data set and the regeneration treatment process removal rate data set; Constructing a new pollution physical and chemical characteristic data set and a reclaimed water irrigation area agronomic information data set, and outputting the probability distribution data of the accumulation concentration of the new pollutants in the irrigated soil and various tissue parts of the crops according to the probability distribution data of the concentration of the new pollutants in the reclaimed water, the new pollution physical and chemical characteristic data set and the reclaimed water irrigation area agronomic information data set; Obtain the accumulation concentration of the new pollutant in the edible part of the crop from the probability distribution data of the accumulation concentration of the new pollutant in the irrigated soil and various tissue parts of the crop, and calculate the mass of the new pollutant that may be exposed to the human food web after being absorbed and accumulated by the crop based on the crop yield in the reclaimed water irrigation area and the accumulation concentration of the new pollutant in the edible part of the crop; Construct a toxic effect data set of new pollutants, and simulate the health risks of new pollutants exposed to the human food web based on the mass of the new pollutants that may be exposed to the human food web after being absorbed and accumulated by crops and the toxic effect data set of new pollutants; The construction of a new pollutant concentration dataset in urban sewage specifically includes: Collecting new pollutant concentration data of urban sewage, wherein the new pollutant concentration data of urban sewage includes the types of new pollutants and the corresponding concentration variation ranges; The collected data on the concentration of new pollutants in urban sewage are stored and sorted according to a preset format; For a specific new pollutant , the new pollutants The probability distribution of the concentration data is recorded as If new pollutants If there are multiple concentration data, the Monte Carlo method is used to find new pollutants The probability distribution of the mean value of ; Construct a new pollutant concentration data set in urban sewage based on the collected new pollutant concentration data in urban sewage; The constructing of the regeneration process removal rate data set specifically includes: Collecting new pollutant removal efficiency data of the regeneration process, wherein the new pollutant removal efficiency data of the regeneration process includes the name of the regeneration process and the corresponding new pollutant removal rate variation range; For a regeneration process , the regeneration process A new pollutant The probability distribution of the removal rate data is recorded as ; If the regeneration process If there are multiple removal rate data, the Monte Carlo method is used to find the regeneration process The probability distribution of the mean value is If the removal rate data is missing, the regeneration process The removal rate data of other new pollutants of the same type are provided as supplement; Constructing a regeneration process removal rate data set based on the collected new pollutant removal efficiency data of the regeneration process; The probability distribution data of the new pollutant concentration in the reclaimed water is calculated according to the new pollutant concentration data set and the regeneration process removal rate data set, specifically: Based on the Monte Carlo method, the probability distribution data of the new pollutant concentration in the reclaimed water is calculated according to the new pollutant concentration data set and the regeneration treatment process removal rate data set: ；（1） in, Data representing the probability distribution of new pollutant concentrations in reclaimed water; The constructing of the new pollution physical and chemical characteristic data set and the agronomic information data set of the area where recycled water is irrigated, outputting the probability distribution data of the accumulation concentration of the new pollutants in the irrigated soil and various tissue parts of the crops according to the probability distribution data of the concentration of the new pollutants in the recycled water, the new pollution physical and chemical characteristic data set and the agronomic information data set of the area where recycled water is irrigated, specifically includes: Collecting new pollution physical and chemical characteristic data, including relative molecular mass, octanol-water partition coefficient, gas-liquid partition coefficient, dissociation constant, acidity and alkalinity, electronic valence state and soil degradation rate, and constructing a new pollution physical and chemical characteristic data set based on the collected new pollution physical and chemical characteristic data; Constructing a regional agronomic information dataset for recycled water irrigation, wherein the regional agronomic information dataset for recycled water irrigation includes a crop planting dataset, a crop growth characteristic dataset, irrigation system information, a meteorological condition dataset, and a soil condition dataset; According to the specific new pollutant types, the types of regeneration treatment processes and the types of crops, the probability distribution data of the new pollutant concentration in the regenerated water, the physical and chemical characteristics data set of the new pollution and the agronomic information data set of the regenerated water irrigation area are called and input into the PLANTX crop absorption simulation model; Based on the Monte Carlo simulation method, the PLANTX crop absorption simulation model is run to output the probability distribution data of the accumulation concentration of new pollutants in the soil, crop roots, stems, leaves and fruits.

2. The method for simulating health risks of new pollutants in the process of recycled water utilization according to claim 1 is characterized in that: The accumulation concentration of the new pollutant in the edible part of the crop in the probability distribution data of the accumulation concentration of the new pollutant in the irrigated soil and various tissue parts of the crop is obtained, and based on the crop yield in the recycled water irrigation area and the accumulation concentration of the new pollutant in the edible part of the crop, the mass of the new pollutant that may be exposed to the human food web after being absorbed and accumulated by the crop is calculated, specifically: Depending on the crop type, the accumulation concentration of new pollutants in the edible parts of the crop is called Calculate the potential exposure of new pollutants to humans through dietary intake after they are absorbed and accumulated by crops. : ；（2） in, It represents the crop yield per unit area. Indicates the irrigated area of ​​the crop.

3. The method for simulating health risks of new pollutants in the process of recycled water utilization according to claim 2 is characterized in that: The construction of the new pollutant toxicity effect data set, based on the quality of the new pollutant that may be exposed to the human food web after being absorbed and accumulated by crops and the new pollutant toxicity effect data set, simulates the health risks caused by the new pollutant being exposed to the human food web, specifically includes: Collecting toxic effect data of new pollutants, wherein the toxic effect data of new pollutants include effect factors based on midpoint levels and damage factors based on endpoint levels, and constructing a toxic effect data set of new pollutants based on the collected toxic effect data of new pollutants; According to different disease types, the midpoint-level effectors are divided into oncogenic effectors and non-carcinogenic effectors , the damage factors based on the endpoint level are divided into carcinogenic damage factors and non-carcinogenic damaging factors ; According to the type of new pollutant, call the new pollutant toxicity effect data set, based on quality , respectively calculate the health risks caused by carcinogenic toxic effects Health risks from non-carcinogenic toxic effects : ；（3） ；（4） Using a linear superposition model to simulate the carcinogenic health risks of multiple new pollutants accumulated in the same crop and non-cancer health risks : ；（5） ；（6） Output the assessment results of carcinogenic health risks and non-carcinogenic health risks caused by the accumulation of multiple new pollutants in the same crop.

4. A new pollutant health risk simulation system in the process of recycled water utilization, applied to the new pollutant health risk simulation method in the process of recycled water utilization as claimed in any one of claims 1 to 3, characterized in that: The new pollutant health risk simulation system in the recycled water utilization process includes: The dataset construction module is used to construct a dataset of new pollutant concentrations in urban sewage and a dataset of removal rates of regeneration treatment processes; A first probability distribution data calculation module is used to calculate the probability distribution data of the new pollutant concentration in the reclaimed water according to the new pollutant concentration data set and the regeneration process removal rate data set; The second probability distribution data calculation module is used to construct a new pollution physical and chemical characteristic data set and a reclaimed water irrigation area agronomic information data set, and output the probability distribution data of the accumulation concentration of new pollutants in the irrigation soil and various tissue parts of crops according to the probability distribution data of the concentration of new pollutants in the reclaimed water, the new pollution physical and chemical characteristic data set and the reclaimed water irrigation area agronomic information data set; A mass calculation module is used to obtain the accumulation concentration of the new pollutant in the edible part of the crop from the probability distribution data of the accumulation concentration of the new pollutant in the irrigated soil and various tissue parts of the crop, and calculate the mass of the new pollutant that may be exposed to the human food web after being absorbed and accumulated by the crop based on the crop yield in the recycled water irrigation area and the accumulation concentration of the new pollutant in the edible part of the crop; The health risk simulation module is used to construct a data set of toxic effects of new pollutants, and simulate the health risks caused by exposure of new pollutants to the human food web based on the mass of the new pollutants that may be exposed to the human food web after being absorbed and accumulated by crops and the data set of toxic effects of new pollutants.

5. A terminal, characterized in that: The terminal includes: a memory, a processor, and a new pollutant health risk simulation program in the process of recycled water utilization stored in the memory and executable on the processor. When the new pollutant health risk simulation program in the process of recycled water utilization is executed by the processor, the steps of the new pollutant health risk simulation method in the process of recycled water utilization as described in any one of claims 1 to 3 are implemented.

6. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a program for simulating the health risks of new pollutants in a process of recycled water utilization, and when the program for simulating the health risks of new pollutants in a process of recycled water utilization is executed by a processor, the steps of the method for simulating the health risks of new pollutants in a process of recycled water utilization as described in any one of claims 1 to 3 are implemented.

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