CN108982756B - Method and device for predicting heavy metal pollution of crops - Google Patents
Method and device for predicting heavy metal pollution of crops Download PDFInfo
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- 229910001385 heavy metal Inorganic materials 0.000 title claims abstract description 229
- 238000000034 method Methods 0.000 title claims abstract description 40
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- 239000012298 atmosphere Substances 0.000 claims abstract description 13
- 230000014759 maintenance of location Effects 0.000 claims description 32
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- 229910052751 metal Inorganic materials 0.000 claims description 7
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- 229910052793 cadmium Inorganic materials 0.000 description 7
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Abstract
The embodiment of the invention provides a prediction method of heavy metal pollution of crops, which comprises the steps of establishing a heavy metal exposure model of the crops according to the exposure way of the crops to the heavy metals; and calculating the heavy metal concentration in the crops and the contribution of each exposure way according to the exposure model. According to the crop heavy metal exposure model provided by the invention, the crop heavy metal exposure way can achieve the purpose of predicting the concentration of heavy metals in crops in advance, so that a scientific basis is provided for improving the quality of crop products. The method comprehensively considers the exposure ways of atmosphere, soil, irrigation water and the like, and accurately predicts the concentration of the heavy metals in the crops in advance so as to provide the farmers with a targeted measure, thereby avoiding the loss of the farmers and improving the production efficiency of agricultural products.
Description
Technical Field
The invention relates to the field of crop pollution detection, in particular to a crop heavy metal pollution prediction method and device.
Background
At present, the environment pollution situation of China is very severe, the environmental contradiction accumulated for a long time is not solved, new environmental problems are continuously generated, further, the serious environmental risk problem is caused, the human health is threatened, and the quality safety of crops is also seriously influenced. To solve this problem, current environmental management measures are usually to administer important environmental media (such as atmosphere, soil, water, etc.) to reduce the concentration of heavy metals to acceptable levels. However, this mode of treatment overlooks one of the most important factors, namely the exposure of the receptors. Briefly, the concentration of heavy metals in the ambient medium is not equal to the concentration to which the exposed receptor is actually exposed. Therefore, there is great uncertainty as to whether the conventional environmental management measures can achieve the expected effects.
During the growth process of crops, the crops can continuously exchange material energy with surrounding environment media such as soil, irrigation water and atmosphere, and during the process, the plants can not only absorb nutrient elements, but also absorb heavy metals into the plants, so that the growth and development of the crops are not only influenced, and the quality of the crops is also influenced.
At present, crop pollutants are mainly detected by directly analyzing and detecting crops or agricultural products to obtain the heavy metal concentration of the crops or the agricultural products, and the method has two defects: first, when the crop is mature or the agricultural product is collected, the analysis and the test become the post-supervision. The fact that the concentration level of heavy metals in the body of the agricultural crop or agricultural product is unchangeable means that if the heavy metals in the body of the agricultural crop or agricultural product exceed the standard at the moment, great economic loss is brought to farmers, and adverse social effects are caused. Secondly, when the concentration of heavy metals in crops or agricultural products is obtained, the contributions of each exposure way cannot be distinguished, so that the targeted measures cannot be taken to solve the problem.
Disclosure of Invention
The invention provides a method and a device for predicting heavy metal pollution of crops, aiming at solving the defects of the traditional casting control method.
In one aspect, the invention provides a method for predicting heavy metal pollution of crops, which comprises the following steps:
establishing a heavy metal exposure model of crops according to the exposure way of the crops to the heavy metals;
and calculating the concentration of the heavy metal in the crops according to the exposure model.
Wherein the exposure route of the crops to the heavy metals comprises:
atmosphere, soil and irrigation water in the environment where the crops are growing.
Wherein, the establishment of the heavy metal exposure model of the crops according to the exposure way of the crops to the heavy metals specifically comprises the following steps:
according to the absorption of the blades on heavy metals in soil, the interception of the blades on heavy metals of atmospheric particulate dry/wet sedimentation and the interception of the blades on heavy metals of irrigation water, establishing a heavy metal exposure model of crops based on the growth cycle of the crops;
the exposure model is:
in the formula, QleafTotal amount of heavy metals in the leaves, mg;
Uptakemetalsthe absorption amount of the leaf to heavy metals in the soil;
dry _ position _ interrupted is the heavy metal retention amount of the blade on the Dry settlement of the atmospheric particulate matters;
wet _ position _ aerosol _ interrupted is the heavy metal retention amount of the blade on the Wet sedimentation of atmospheric particulates;
irrigation _ interrupted is the heavy metal retention of the Irrigation water by the leaves;
Cleafthe heavy metal concentration of the leaves in the harvest season;
Qleaf_harvestharvesting the heavy metal mass of the leaves in the season;
Sfieldthe area of the field;
mharv_leafthe leaf mass per unit soil area for the harvest season.
Wherein the method further comprises:
and calculating the contribution rate of each exposure path to the heavy metal according to the exposure model.
In another aspect, the present invention provides a device for predicting heavy metal pollution in crops, comprising:
the model establishing module is used for establishing a heavy metal exposure model of the crops according to the exposure way of the crops to the heavy metals;
and the first calculation module is used for calculating the concentration of the heavy metal in the crops according to the heavy metal exposure model.
Wherein the model building module is specifically configured to:
according to the absorption of the blades on heavy metals in soil, the interception of the blades on heavy metals of atmospheric particulate dry/wet sedimentation and the interception of the blades on heavy metals of irrigation water, establishing a heavy metal exposure model of crops based on the growth cycle of the crops;
the exposure model is:
in the formula, QleafTotal amount of heavy metals in the leaves, mg;
Uptakemetalsthe absorption amount of the leaf to heavy metals in the soil;
dry _ position _ interrupted is the heavy metal retention amount of the blade on the Dry settlement of the atmospheric particulate matters;
wet _ position _ aerosol _ interrupted is the heavy metal retention amount of the blade on the Wet sedimentation of atmospheric particulates;
irrigation _ interrupted is the heavy metal retention of the Irrigation water by the leaves;
Cleafthe heavy metal concentration of the leaves in the harvest season;
Qleaf_harveharvesting the heavy metal mass of the leaves in the season;
Sfieldthe area of the field;
mharv_leafthe leaf mass per unit soil area for the harvest season.
The device also comprises a second calculation module used for calculating the contribution rate of each exposure path to the heavy metal according to the exposure model.
In a third aspect, the invention provides a computer program product, characterized in that the computer program product comprises a computer program stored on a non-transitory computer readable storage medium, the computer program comprising program instructions which, when executed by a computer, cause the computer to perform the above-mentioned method.
In a fourth aspect, the present invention provides a non-transitory computer-readable storage medium, wherein the non-transitory computer-readable storage medium stores computer instructions that cause the computer to perform the above method.
According to the prediction method and the device for the heavy metal pollution of the crops, the heavy metal exposure model of the crops is established according to the exposure way of the crops to the heavy metal, and the concentration of the heavy metal in the crops is calculated. The purpose of predicting the concentration of heavy metals in crops in advance is achieved. Compared with the existing detection method which carries out analysis and detection after crops are mature, the method is difficult to avoid the loss of the excessive heavy metals of the crops. The method comprehensively considers the exposure ways of atmosphere, soil, irrigation water and the like, and accurately predicts the concentration of the heavy metals in the crops in advance so as to provide the farmers with a targeted measure, thereby avoiding the loss of the farmers and improving the production efficiency of agricultural products.
Drawings
FIG. 1 is a block flow diagram of a method for predicting heavy metal pollution of crops according to an embodiment of the present invention;
fig. 2 is a block diagram of a crop heavy metal pollution prediction device according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are a module embodiment of the present invention, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Fig. 1 is a flow chart of a crop heavy metal pollution prediction method provided by an embodiment of the invention. As shown in fig. 1, the present invention provides a method for predicting heavy metal pollution of crops, comprising:
101, establishing a heavy metal exposure model of crops according to the exposure way of the crops to the heavy metals;
at present, the problem of environmental pollution not only threatens human health, but also seriously affects the quality safety of crops. To solve this problem, current environmental management measures are usually to administer important environmental media (such as atmosphere, soil, water, etc.) to reduce the concentration of heavy metals to acceptable levels. However, this mode of treatment overlooks one of the most important factors, namely the exposure of the receptors. The concentration of heavy metals in the ambient medium is not equal to the concentration to which the exposed receptor is actually exposed. Therefore, there is great uncertainty as to whether the conventional environmental management measures can achieve the expected effects. The invention takes leaf crops as an example, and carries out exposure evaluation on the crops by considering various exposure ways of the crops.
The definition of CAC for exposure assessment is "qualitative and/or quantitative assessment of the amount of possible intake of biological, chemical and physical etc. hazard factors exposed by food and other related sources" (FAO/WHO, 2008).
And determining the source of the heavy metal in the crops aiming at the exposure way of the crops to the heavy metal. Among these, the exposure route includes four parts: the source and mechanism of release of the chemical, the retention and migration of the chemical in the medium (or the migration of the medium carrying the chemical), the location of exposure and the manner of exposure. In embodiments of the invention, the exposure of the crop to heavy metals includes atmospheric air, soil and irrigation water.
And 102, calculating the concentration of the heavy metal in the crops according to the exposure model.
Determining the source of heavy metal in crops according to the exposure way of the crops to the heavy metal, and establishing a heavy metal exposure model of the crops. And then the concentration level of the heavy metal in the crops can be predicted according to the concentration levels of the relevant heavy metal in the atmosphere, soil and irrigation water of the growth environment of the crops. The aim of predicting the concentration of the heavy metal in the crops in advance is achieved, so that farmers can take targeted measures to avoid the loss of the farmers.
According to the method and the device for predicting the heavy metal pollution of the crops, provided by the embodiment of the invention, a heavy metal exposure model of the crops is established according to the exposure way of the crops to the heavy metals, and the concentration of the heavy metals in the crops is calculated. The purpose of predicting the concentration of heavy metals in crops in advance is achieved. Compared with the existing detection method which carries out analysis and detection after crops are mature, the method is difficult to avoid the loss of the excessive heavy metals of the crops. The method comprehensively considers the exposure ways of atmosphere, soil, irrigation water and the like, and accurately predicts the concentration of the heavy metals in the crops in advance so as to provide the farmers with a targeted measure, thereby avoiding the loss of the farmers and improving the production efficiency of agricultural products.
Based on the above embodiments, the exposure routes of the crops to the heavy metals include the atmosphere, soil and irrigation water in the growing environment range of the crops.
Correspondingly, the establishing of the heavy metal exposure model of the crops according to the exposure way of the crops to the heavy metals specifically comprises the following steps:
according to the absorption of the blades on heavy metals in soil, the interception of the blades on heavy metals of atmospheric particulate dry/wet sedimentation and the interception of the blades on heavy metals of irrigation water, establishing a heavy metal exposure model of crops based on the growth cycle of the crops;
specifically, a heavy metal exposure model of leaf crops is taken as an example.
The absorption capacity of the leaves to heavy metals in soil is as follows:
in the formula, UptakemetalsRepresenting the absorption amount of heavy metals in soil by the leaves;
TFsoil-leadenotes the factor of migration from the soil to the leaves, kgdw kgdw -1；
θleafL kg as leaf water contentfw -1；
tharv_leafHarvesting time for leaf crops, d;
tgerm_leafthe germination time of leaf crops, d;
mharv_leafthe mass of leaves in unit soil area in harvest period is kgfw m-2；
CsoilThe concentration of heavy metal in the soil is mg kgdw -1；
SfieldIs the area of the field.
The heavy metal retention amount of the blade on the dry settlement of the atmospheric particulates is as follows:
Dry_deosition_intercepted
＝fdry_interception_leaf×drydeposition×Sfield
in the formula, Dry _ position _ interrupted is the heavy metal retention amount of the blade on the Dry settlement of the atmospheric particulate matters;
fdry_interception_leafrepresents the dry sedimentation retention factor of the leaf;
drydepositiondenotes the dry pellet sedimentation flux, mg d-1m-2；
SfieldRepresenting the field area;
wherein,
fdry_interception_leaf＝1-exp[-μdry×mleaf×(1-θleaf)]
in the formula (f)dry_interception_leafRepresents the dry sedimentation retention factor of the leaf;
μdryis the dry sedimentation retention coefficient, m2kgdw -1；
mleafThe leaf mass per unit soil area;
θleafthe water content of the leaves.
The heavy metal retention of the blade on the wet sedimentation of the atmospheric particulates is as follows:
Wet_deposition_aerosol_intercepted
＝fwet_interception_leaf×wetdeposition_aerosol×Sfield
in the formula, Wet-settled heavy metal interception amount of the blades to atmospheric particulate matters is represented by Wet _ position _ aerosol _ interrupted;
fwet_interception_leafis the wet sedimentation retention factor of the leaf;
wetdeposition_aerosolas the wet settling flux of the particles, mg d-1m-2；
SfieldThe area of the field;
wherein,
fwet_interception_leaf＝1-exp[-μwet×mleaf×(1-θleaf)]
in the formula (f)wet_interception_leafRepresents the wet sedimentation retention factor of the leaf;
μwetis the wet sedimentation retention coefficient, m2kgdw -1；
mleafThe leaf mass per unit soil area;
θleafthe water content of the leaves.
The heavy metal retention of the blade to the irrigation water is as follows:
Irrigation_intercepted
＝Irrigationrate×Sfield×fwet_interception_leaf×Cwater
wherein Irrigation _ interrupted represents the heavy metal retention of the Irrigation water by the blade
IrrigationrateFor irrigation rate of crop field, m d-1；
SfieldIs the field area, m2；
fwet_interception_leafRepresenting wet settlement retention factor of vegetation leaves, dimensionless
CwaterThe concentration of heavy metal in the irrigation water.
Further, the embodiment of the invention comprehensively considers the absorption of heavy metals in the whole growth and development period of crops, and the heavy metal concentration of the leaves in the harvest season is as follows:
Cleafthe heavy metal concentration of the leaves in the harvest season;
Qleaf_harveharvesting the heavy metal mass of the leaves in the season;
Sfieldthe area of the field;
mhar_leafthe leaf mass per unit soil area for the harvest season.
In summary, the heavy metal exposure model of leaf crops is:
in the formula, QleafTotal amount of heavy metals in the leaves, mg;
Uptakemetalsthe absorption amount of the leaf to heavy metals in the soil;
dry _ position _ interrupted is the heavy metal retention amount of the blade on the Dry settlement of the atmospheric particulate matters;
wet _ position _ aerosol _ interrupted is the heavy metal retention amount of the blade on the Wet sedimentation of atmospheric particulates;
irrigation _ interrupted is the heavy metal retention of the Irrigation water by the leaves;
Cleafthe heavy metal concentration of the leaves in the harvest season;
Qleaf_harveharvesting the heavy metal mass of the leaves in the season;
Sfieldthe area of the field;
mharv_leafthe leaf mass per unit soil area for the harvest season.
Through a large number of tests and verifications, the exposure model is suitable for simulating and calculating the concentration level of heavy metals such as aluminum, arsenic, barium, chromium, cadmium, copper, iron, manganese, lead, zinc and the like in the crop body.
According to the embodiment of the invention, the exposure ways such as atmosphere, soil, irrigation water and the like are comprehensively considered, and the concentration of heavy metals in crops is accurately predicted in advance so that farmers can take targeted measures, thereby avoiding the loss of the farmers and improving the production efficiency of agricultural products.
On the basis of the above embodiments, the method further includes:
and calculating the contribution rate of each exposure path to the heavy metal according to the exposure model.
Specifically, the total amount of heavy metals in the blade is calculated according to the absorption amount of the blade to heavy metals in soil, the heavy metal interception amount of the blade to dry/wet sedimentation of atmospheric particulates, the heavy metal interception amount of the blade to irrigation water and the exposure model. The contribution rate of each exposure path to the heavy metal can be calculated. Thereby further deepening the understanding of people on the biological process of crops absorbing heavy metals such as heavy metals and the like, and providing the agricultural staff to take targeted prevention and control measures.
The following examples illustrate the above embodiments, and the results of systematic analysis of the contributions of different environmental media in Zunyi markets to the heavy metal content in tobacco samples by using the exposure model show that the absorption of heavy metals in soil by leaves is the largest for most heavy metal elements in tobacco samples, wherein the contribution rates to elements such as lead, arsenic, cadmium and the like reach 49.4%, 79.1% and 98.3%, respectively, and the contribution of leaves to atmospheric dry and wet sedimentation and irrigation water retention to heavy metal elements in tobacco samples is less than that of heavy metals in soil. The contribution rates of atmospheric dry and wet sedimentation to lead, arsenic and cadmium are 48.4%, 0.76% and 1.4%, and the contribution rates of heavy metal interception of the leaves to irrigation water to lead, arsenic and cadmium are 2.2%, 20.1% and 0.36%.
According to the embodiment of the invention, the contribution rate of each exposure path to heavy metal is calculated according to the exposure model. The understanding of people on the biological process of crops absorbing heavy metals such as heavy metals is deepened, and the contribution rate of different exposure ways is distinguished, so that the agricultural staff can take targeted prevention and treatment measures.
Fig. 2 is a block diagram of a crop heavy metal pollution prediction apparatus according to an embodiment of the present invention, and referring to fig. 2, the apparatus includes a model building module 201 and a first calculating module 202, wherein,
the model establishing module 201 is used for establishing a heavy metal exposure model of crops according to the exposure way of the crops to the heavy metals; the first calculation module 202 is used for calculating the concentration of the heavy metal in the crops according to the heavy metal exposure model.
There is great uncertainty as to whether the traditional environmental management measures can achieve the expected effect. The invention takes leaf crops as an example, and carries out exposure evaluation on the crops by considering various exposure ways of the crops.
The definition of CAC for exposure assessment is "qualitative and/or quantitative assessment of the amount of possible intake of biological, chemical and physical etc. hazard factors exposed by food and other related sources" (FAO/WHO, 2008).
And determining the source of the heavy metal in the crops aiming at the exposure way of the crops to the heavy metal. Among these, the exposure route includes four parts: the source and mechanism of release of the chemical, the retention and migration of the chemical in the medium (or the migration of the medium carrying the chemical), the location of exposure and the manner of exposure. In embodiments of the invention, the exposure of the crop to heavy metals includes atmospheric air, soil and irrigation water.
Further, the source of the heavy metal in the crops is determined according to the exposure way of the crops to the heavy metal, and a heavy metal exposure model of the crops is established. And then the concentration level of the heavy metal in the crops can be calculated according to the exposure model based on the concentration levels of the relevant heavy metal in the atmosphere, the soil and the irrigation water of the growth environment of the crops. The aim of predicting the concentration of the heavy metal in the crops in advance is achieved, so that farmers can take targeted measures to avoid the loss of the farmers.
According to the method and the device for predicting the heavy metal pollution of the crops, provided by the embodiment of the invention, a heavy metal exposure model of the crops is established according to the exposure way of the crops to the heavy metals, and the concentration of the heavy metals in the crops is calculated. The purpose of predicting the concentration of heavy metals in crops in advance is achieved. Compared with the existing detection method which carries out analysis and detection after crops are mature, the method is difficult to avoid the loss of the excessive heavy metals of the crops. The method comprehensively considers the exposure ways of atmosphere, soil, irrigation water and the like, and accurately predicts the concentration of the heavy metals in the crops in advance so as to provide the farmers with a targeted measure, thereby avoiding the loss of the farmers and improving the production efficiency of agricultural products.
On the basis of the above embodiment, the model building module is specifically configured to:
according to the absorption of the blades on heavy metals in soil, the interception of the blades on heavy metals of atmospheric particulate dry/wet sedimentation and the interception of the blades on heavy metals of irrigation water, establishing a heavy metal exposure model of crops based on the growth cycle of the crops;
take the heavy metal exposure model of leaf crops as an example. The model building process is the same as that in the method embodiment, and is not described herein again.
The heavy metal exposure model of the leaf crops is as follows:
in the formula, QleafTotal amount of heavy metals in the leaves, mg;
Uptakemetalsthe absorption amount of the leaf to heavy metals in the soil;
dry _ position _ interrupted is the heavy metal retention amount of the blade on the Dry settlement of the atmospheric particulate matters;
wet _ position _ aerosol _ interrupted is the heavy metal retention amount of the blade on the Wet sedimentation of atmospheric particulates;
irrigation _ interrupted is the heavy metal retention of the Irrigation water by the leaves;
Cleafthe heavy metal concentration of the leaves in the harvest season;
Qleaf_harvestharvesting the heavy metal mass of the leaves in the season;
Sfieldthe area of the field;
mharv_leafthe leaf mass per unit soil area for the harvest season.
On the basis of the above embodiments, the apparatus further includes a second calculation module, configured to calculate the contribution rate of each exposure route to heavy metal according to the exposure model.
Specifically, the total amount of heavy metals in the blade is calculated according to the absorption amount of the blade to heavy metals in soil, the heavy metal interception amount of the blade to dry/wet sedimentation of atmospheric particulates, the heavy metal interception amount of the blade to irrigation water and the exposure model. The contribution rate of each exposure path to the heavy metal can be calculated. Thereby further deepening the understanding of people on the biological process of crops absorbing heavy metals such as heavy metals and the like, and providing the agricultural staff to take targeted prevention and control measures.
The following examples illustrate the above embodiments, and the results of systematic analysis of the contributions of different environmental media in Zunyi markets to the heavy metal content in tobacco samples by using the exposure model show that the absorption of heavy metals in soil by leaves is the largest for most heavy metal elements in tobacco samples, wherein the contribution rates to elements such as lead, arsenic, cadmium and the like reach 49.4%, 79.1% and 98.3%, respectively, and the contribution of leaves to atmospheric dry and wet sedimentation and irrigation water retention to heavy metal elements in tobacco samples is less than that of heavy metals in soil. The contribution rates of atmospheric dry and wet sedimentation to lead, arsenic and cadmium are 48.4%, 0.76% and 1.4%, and the contribution rates of heavy metal interception of the leaves to irrigation water to lead, arsenic and cadmium are 2.2%, 20.1% and 0.36%.
According to the embodiment of the invention, the contribution rate of each exposure path to heavy metal is calculated according to the exposure model. The understanding of people on the biological process of crops absorbing heavy metals such as heavy metals is deepened, and the contribution rate of different exposure ways is distinguished, so that the agricultural staff can take targeted prevention and treatment measures.
The present invention provides a computer program product comprising a computer program stored on a non-transitory computer readable storage medium, the computer program comprising program instructions which, when executed by a computer, cause the computer to perform the method provided by the method embodiments described above. Examples include: establishing a heavy metal exposure model of crops according to the exposure way of the crops to the heavy metals; and calculating the concentration of the heavy metal in the crops according to the exposure model.
The present invention provides a non-transitory computer-readable storage medium storing computer instructions that cause the computer to perform the methods provided by the method embodiments described above. Examples include: establishing a heavy metal exposure model of crops according to the exposure way of the crops to the heavy metals; and calculating the concentration of the heavy metal in the crops according to the exposure model.
One of ordinary skill in the art will understand that: all or part of the steps for implementing the method embodiments may be implemented by hardware related to program instructions, and the program may be stored in a computer readable storage medium, and when executed, the program performs the steps including the method embodiments; and the aforementioned storage medium includes: various media that can store program codes, such as ROM, RAM, magnetic or optical disks.
Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware. With this understanding in mind, the above-described technical solutions may be embodied in the form of a software product, which can be stored in a computer-readable storage medium such as ROM/RAM, magnetic disk, optical disk, etc., and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods described in the embodiments or some parts of the embodiments.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made herein without departing from the spirit and scope of the invention, and any changes, equivalents, improvements and the like that come within the spirit and scope of the invention are to be embraced therein.
Claims (6)
1. A method for predicting heavy metal pollution of crops is characterized by comprising the following steps:
establishing a heavy metal exposure model of crops according to the exposure way of the crops to the heavy metals;
calculating the concentration of heavy metals in the crops according to the exposure model;
wherein the exposure route of the crops to the heavy metals comprises: atmosphere, soil and irrigation water in the crop growing environment;
the establishment of the heavy metal exposure model of the crops according to the exposure way of the crops to the heavy metals specifically comprises the following steps:
according to the absorption of the blades on heavy metals in soil, the interception of the blades on heavy metals of atmospheric particulate dry/wet sedimentation and the interception of the blades on heavy metals of irrigation water, establishing a heavy metal exposure model of crops based on the growth cycle of the crops;
the exposure model is:
in the formula, QleafTotal amount of heavy metals in the leaves, mg;
Uptakemetalsthe absorption amount of the leaf to heavy metals in the soil;
dry _ position _ interrupted is the heavy metal retention amount of the blade on the Dry settlement of the atmospheric particulate matters;
wet _ position _ aerosol _ interrupted is the heavy metal retention amount of the blade on the Wet sedimentation of atmospheric particulates;
irrigation _ interrupted is the heavy metal retention of the Irrigation water by the leaves;
Cleafthe heavy metal concentration of the leaves in the harvest season;
Qleaf_harvestharvesting the heavy metal mass of the leaves in the season;
Sfieldthe area of the field;
mleaf_harvestthe leaf mass per unit soil area for the harvest season.
2. The method for predicting heavy metal pollution of crops according to claim 1, further comprising:
and calculating the contribution rate of each exposure path to the heavy metal according to the exposure model.
3. A prediction device of heavy metal pollution of crops is characterized by comprising:
the model establishing module is used for establishing a heavy metal exposure model of the crops according to the exposure way of the crops to the heavy metals;
the first calculation module is used for calculating the concentration of the heavy metal in the crops according to the exposure model;
wherein the model building module is specifically configured to:
according to the absorption of the blades on heavy metals in soil, the interception of the blades on heavy metals of atmospheric particulate dry/wet sedimentation and the interception of the blades on heavy metals of irrigation water, establishing a heavy metal exposure model of crops based on the growth cycle of the crops;
the exposure model is:
in the formula, QleafTotal amount of heavy metals in the leaves, mg;
Uptakemetalsthe absorption amount of the leaf to heavy metals in the soil;
dry _ position _ interrupted is the heavy metal retention amount of the blade on the Dry settlement of the atmospheric particulate matters;
wet _ position _ aerosol _ interrupted is the heavy metal retention amount of the blade on the Wet sedimentation of atmospheric particulates;
irrigation _ interrupted is the heavy metal retention of the Irrigation water by the leaves;
Cleafthe heavy metal concentration of the leaves in the harvest season;
Qleaf_harvestharvesting the heavy metal mass of the leaves in the season;
Sfieldthe area of the field;
mleaf_harvestthe leaf mass per unit soil area for the harvest season.
4. The apparatus of claim 3, wherein the model further comprises:
and the second calculation module is used for calculating the contribution rate of each exposure way to the heavy metal according to the exposure model.
5. A computer program product, characterized in that the computer program product comprises a computer program stored on a non-transitory computer-readable storage medium, the computer program comprising program instructions which, when executed by a computer, cause the computer to perform the method according to any of claims 1 or 2.
6. A non-transitory computer-readable storage medium storing computer instructions that cause a computer to perform the method of any one of claims 1 or 2.
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