CN108982756A - A kind of crop heavy metal pollution prediction method and device - Google Patents
A kind of crop heavy metal pollution prediction method and device Download PDFInfo
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Abstract
The embodiment of the present invention provides a kind of crop heavy metal pollution prediction method, including the route of exposure according to crops to heavy metal, establishes the heavy metal exposure model of crops；According to the exposure model, the contribution of the heavy metal concentration and each route of exposure in crops is calculated.Crop heavy metal exposure model provided by the invention, crops can reach the purpose of heavy metal concentration in look-ahead crops to the route of exposure of heavy metal, to provide scientific basis to improve crop product quality.The present invention comprehensively considers the route of exposure such as atmosphere, soil, irrigation water, and the heavy metal concentration accurately in prediction crops avoids the loss of peasant household so that peasant household takes targetedly measure in advance, improves the production efficiency of agricultural product.
Description
Technical field
The present invention relates to crop pollution detection fields, more particularly to a kind of crop heavy metal pollution prediction side
Method and device.
Background technique
Currently, China's environmental pollution situation very severe, the environment contradiction of long-term accumulation is not yet solved, new environmental problem
It continuously emerges, has in turn resulted in serious environmental risk problem, not only constituted a threat to human health, also seriously affected farming
Amount of substance safety.In order to solve this problem, existing Environment Management Measures be usually carry out important surrounding medium (such as atmosphere,
Soil, water etc.) improvement, the concentration of heavy metal is reduced to acceptable level.However, this administration way ignores one
Most important factor, that is, expose the factor of receptor.Briefly, the heavy metal concentration in surrounding medium not equal to exposure by
The concentration of body actual exposed.Therefore, can traditional environmental improvement measure get a desired effect in the presence of very big uncertainty.
Crops during the growth process, can constantly carry out substance energy with surrounding medium such as soil, irrigation water, the atmosphere on periphery
Amount exchange, in the process, plant can singly not absorb nutrient, while can also take in heavy metal in vivo, not influence singly
Crops growth and development itself can also impact crops quality.
Currently, crop pollution analyte detection is mainly by the way of direct analysis detection crops or agricultural product, to obtain
Its heavy metal concentration, there are two big disadvantages for this way: first, when crops are mature or agricultural product have been acquired and finished, then go
Analytical test just has become subsequent supervision.Its intracorporal heavy metal concentration level just becomes the immutable fact, in other words
It says, if heavy metals exceeding standard in crops or agricultural product body at this time, very huge economic loss will be brought for peasant household, while causing not
Good social influence.Second, after obtaining crops or agricultural product heavy metal concentration, the tribute of each route of exposure cannot be distinguished
It offers, therefore also just targeted measure can not be taken to solve.
Summary of the invention
The present invention is to solve the drawbacks described above of tradition casting control method, provides a kind of crop heavy metal pollution prediction side
Method and device.
On the one hand, the present invention provides a kind of crop heavy metal pollution prediction method, comprising:
According to crops to the route of exposure of heavy metal, the heavy metal exposure model of crops is established；
According to the exposure model, the heavy metal concentration in crops is calculated.
Wherein, the crops include: to the route of exposure of heavy metal
Atmosphere, soil and irrigation water in crop growth environment.
Wherein, it is described according to crops to the route of exposure of heavy metal, the heavy metal exposure model for establishing crops is specific
Include:
According to blade it is dry to Atmospheric particulates to the absorption of heavy metal in soil, blade/the heavy metal retention of wet deposition with
And blade retains the heavy metal of irrigation water, is based on the crop growth period, establishes the heavy metal exposure model of crops；
The exposure model are as follows:
In formula, QleafTotal metals in blade, mg；
UptakemetalsUptake of the blade to heavy metal in soil；
Dry_deposition_intercepted is heavy metal interception of the blade to Atmospheric particulates dry deposition；
Wet_deposition_aerosol_intercepted is that blade cuts the heavy metal of Atmospheric particulates wet deposition
Allowance；
Irrigation_intercepted is heavy metal interception of the blade to irrigation water；
CleafTo harvest season blade heavy metal concentration；
Qleaf_harvestHarvest season blade heavy metal quality；
SfieldFor field area；
mharv_leafTo harvest season unit soil region leaf quality.
Wherein, the method also includes:
According to the exposure model, each route of exposure is calculated to the contribution rate of heavy metal.
On the other hand, the present invention provides a kind of crop heavy metal pollution prediction device, comprising:
Model building module establishes the heavy metal exposure of crops for the route of exposure according to crops to heavy metal
Model；
First computing module, for calculating the heavy metal concentration in crops according to the heavy metal exposure model.
Wherein, the model building module is specifically used for:
According to blade it is dry to Atmospheric particulates to the absorption of heavy metal in soil, blade/the heavy metal retention of wet deposition with
And blade retains the heavy metal of irrigation water, is based on the crop growth period, establishes the heavy metal exposure model of crops；
The exposure model are as follows:
In formula, QleafTotal metals in blade, mg；
UptakemetalsUptake of the blade to heavy metal in soil；
Dry_deposition_intercepted is heavy metal interception of the blade to Atmospheric particulates dry deposition；
Wet_deposition_aerosol_intercepted is that blade cuts the heavy metal of Atmospheric particulates wet deposition
Allowance；
Irrigation_intercepted is heavy metal interception of the blade to irrigation water；
CleafTo harvest season blade heavy metal concentration；
Qleaf_harveHarvest season blade heavy metal quality；
SfieldFor field area；
mharv_leafTo harvest season unit soil region leaf quality.
Wherein, described device further includes the second computing module, for calculating each route of exposure according to the exposure model
To the contribution rate of heavy metal.
The third aspect, the present invention provide a kind of computer program product, which is characterized in that the computer program product packet
The computer program being stored in non-transient computer readable storage medium is included, the computer program includes program instruction, when
When described program instruction is computer-executed, the computer is made to execute the above method.
Fourth aspect, the present invention provide a kind of non-transient computer readable storage medium, which is characterized in that described non-transient
Computer-readable recording medium storage computer instruction, the computer instruction make the computer execute the above method.
Crop heavy metal pollution prediction method and device provided by the invention, according to crops to the exposure way of heavy metal
Diameter establishes the heavy metal exposure model of crops, calculates the heavy metal concentration in crops.Reach weight in look-ahead crops
The purpose of metal concentration.Analysis detection is carried out after crop maturity with existing detection method, it is difficult to avoid a crops huge sum of money
The loss for belonging to exceeded is compared.The present invention comprehensively considers the route of exposure such as atmosphere, soil, irrigation water, accurately predicts crops in advance
Interior heavy metal concentration avoids the loss of peasant household so that peasant household takes targetedly measure, improves the production effect of agricultural product
Rate.
Detailed description of the invention
Fig. 1 is the flow diagram according to crop heavy metal pollution prediction method provided in an embodiment of the present invention；
Fig. 2 is the structural block diagram according to crop heavy metal pollution prediction device provided in an embodiment of the present invention.
Specific embodiment
In order to make the object, technical scheme and advantages of the embodiment of the invention clearer, below in conjunction with the embodiment of the present invention
In attached drawing, technical solution in the embodiment of the present invention is explicitly described, it is clear that described embodiment is the present invention
One module embodiments, instead of all the embodiments.Based on the embodiments of the present invention, those of ordinary skill in the art are not having
Every other embodiment obtained under the premise of creative work is made, shall fall within the protection scope of the present invention.
Fig. 1 is the flow diagram according to crop heavy metal pollution prediction method provided in an embodiment of the present invention.Such as Fig. 1 institute
Show, the present invention provides a kind of crop heavy metal pollution prediction method, comprising:
Step 101, the heavy metal exposure model of crops is established to the route of exposure of heavy metal according to crops；
Currently, problem of environmental pollution not only constitutes a threat to human health, crop safety is also seriously affected.For
Solve the problems, such as this, existing Environment Management Measures are usually to carry out controlling for important surrounding medium (such as atmosphere, soil, water)
The concentration of heavy metal, is reduced to acceptable level by reason.However, this administration way ignores a most important factor,
Namely expose the factor of receptor.Heavy metal concentration in surrounding medium is not equal to the concentration of exposure receptor actual exposed.Therefore,
Can traditional environmental improvement measure get a desired effect in the presence of very big uncertainty.The present invention is with leaf class crops
Example, considers each route of exposure of crops, carries out exposure assessment to crops.
CAC is " to the biology exposed by food source relevant with other, chemically and physically to the definition of exposure assessment
The qualitative and/or quantitative assessment of the equal possible intake of Hazard factors " (FAO/WHO, 2008).
For crops to the route of exposure of heavy metal, the source of heavy metal in crops is determined.Wherein, route of exposure packet
Include four parts: chemicals discharge source and mechanism, and chemicals are detained in the medium and migrate that (or belt chemicals medium moves
Move), exposure position and exposure chamber.In the embodiment of the present invention, crops to the route of exposure of heavy metal include atmosphere, soil and
Irrigation water.
Step 102, according to the exposure model, the heavy metal concentration in crops is calculated.
In the route of exposure according to crops to heavy metal, determines the source of heavy metal in crops, establish crops
After heavy metal exposure model.And then it can be dense according to heavy metals in the atmosphere, soil, irrigation water of crop growth environment
Degree is horizontal, predicts that the heavy metal concentration in crops is horizontal.Achieve the purpose that heavy metal concentration in look-ahead crops, for
Peasant household takes targetedly measure, avoids the loss of peasant household.
Crop heavy metal pollution prediction method and device provided in an embodiment of the present invention, according to crops to heavy metal
Route of exposure establishes the heavy metal exposure model of crops, calculates the heavy metal concentration in crops.Reach look-ahead farming
The purpose of heavy metal concentration in object.Analysis detection is carried out after crop maturity with existing detection method, it is difficult to avoid farming
The loss of object heavy metals exceeding standard is compared.The present invention comprehensively considers the route of exposure such as atmosphere, soil, irrigation water, in advance accurate prediction
Heavy metal concentration in crops avoids the loss of peasant household so that peasant household takes targetedly measure, improves the life of agricultural product
Produce efficiency.
On the basis of the various embodiments described above, the crops include crop growth ring to the route of exposure of heavy metal
Atmosphere, soil and the irrigation water of border range.
Correspondingly, it is described according to crops to the route of exposure of heavy metal, establish the heavy metal exposure model tool of crops
Body includes:
According to blade it is dry to Atmospheric particulates to the absorption of heavy metal in soil, blade/the heavy metal retention of wet deposition with
And blade retains the heavy metal of irrigation water, is based on the crop growth period, establishes the heavy metal exposure model of crops；
Specifically, by taking the heavy metal exposure model of leaf class crops as an example.
Uptake of the blade to heavy metal in soil are as follows:
In formula, UptakemetalsIndicate blade to the uptake of heavy metal in soil；
TFsoil-leaIt indicates from soil to blade migration factor, kgdw kgdw -1；
θleafFor blade water content, L kgfw -1；
tharv_leafFor leaf class crop harvest time, d；
tgerm_leafFor leaf class crop germination time, d；
mharv_leafFor harvest time unit soil region leaf quality, kgfw m-2；
CsoilFor heavy metal in soil concentration, mg kgdw -1；
SfieldFor site area.
Heavy metal interception of the blade to Atmospheric particulates dry deposition are as follows:
Dry_deosition_intercepted
=fdry_interception_leaf×drydeposition×Sfield
In formula, Dry_deposition_intercepted is that blade retains the heavy metal of Atmospheric particulates dry deposition
Amount；
fdry_interception_leafIndicate that the dry deposition of blade retains the factor；
drydepositionIndicate particulate matter dry deposition f lux, mg d-1m-2；
SfieldIndicate field area；
Wherein,
fdry_interception_leaf=1-exp [- μdry×mleaf×(1-θleaf)]
In formula, fdry_interception_leafIndicate that the dry deposition of blade retains the factor；
μdryFor dry deposition Interception coefficien, m2kgdw -1；
mleafFor unit soil region leaf quality；
θleafFor leaf water content.
Heavy metal interception of the blade to Atmospheric particulates wet deposition are as follows:
Wet_deposition_aerosol_intercepted
=fwet_interception_leaf×wetdeposition_aerosol×Sfield
In formula, Wet_deposition_aerosol_intercepted indicates blade to the weight of Atmospheric particulates wet deposition
Metal interception；
fwet_interception_leafThe factor is retained for the wet deposition of blade；
wetdeposition_aerosolFor particulate matter wet_end addition, mg d-1m-2；
SfieldFor field area；
Wherein,
fwet_interception_leaf=1-exp [- μwet×mleaf×(1-θleaf)]
In formula, fwet_interception_leafIndicate that the wet deposition of blade retains the factor；
μwetFor wet deposition Interception coefficien, m2kgdw -1；
mleafFor unit soil region leaf quality；
θleafFor leaf water content.
Heavy metal interception of the blade to irrigation water are as follows:
Irrigation_intercepted
=Irrigationrate×Sfield×fwet_interception_leaf×Cwater
In formula, Irrigation_intercepted indicates blade to the heavy metal interception of irrigation water
IrrigationrateFor crop field water duty, m d-1；
SfieldFor field area, m2；
fwet_interception_leafIndicate that the wet deposition of vegetation blade retains the factor, dimensionless
CwaterFor heavy metal concentration in irrigation water.
Further, the embodiment of the present invention comprehensively considers absorption of the crop growthing development complete period process to heavy metal,
Harvest season blade heavy metal concentration are as follows:
CleafTo harvest season blade heavy metal concentration；
Qleaf_harveHarvest season blade heavy metal quality；
SfieldFor field area；
mhar_leafTo harvest season unit soil region leaf quality.
In conclusion the heavy metal exposure model of leaf class crops are as follows:
In formula, QleafTotal metals in blade, mg；
UptakemetalsUptake of the blade to heavy metal in soil；
Dry_deposition_intercepted is heavy metal interception of the blade to Atmospheric particulates dry deposition；
Wet_deposition_aerosol_intercepted is that blade cuts the heavy metal of Atmospheric particulates wet deposition
Allowance；
Irrigation_intercepted is heavy metal interception of the blade to irrigation water；
CleafTo harvest season blade heavy metal concentration；
Qleaf_harveHarvest season blade heavy metal quality；
SfieldFor field area；
mharv_leafTo harvest season unit soil region leaf quality.
By a large number of experiments and verifying, the exposure model be suitable for simulation calculate aluminium, arsenic, barium, chromium, cadmium, copper, iron, manganese,
The heavy metals such as lead, zinc are in the intracorporal concentration level of crops.
The embodiment of the present invention comprehensively considers the route of exposure such as atmosphere, soil, irrigation water, in advance accurately in prediction crops
Heavy metal concentration avoids the loss of peasant household so that peasant household takes targetedly measure, improves the production efficiency of agricultural product.
On the basis of the various embodiments described above, the method also includes:
According to the exposure model, each route of exposure is calculated to the contribution rate of heavy metal.
Specifically, according to above-mentioned blade to the uptake of heavy metal in soil, blade does/wet deposition to Atmospheric particulates
Heavy metal interception, blade calculates heavy metal in the blade obtained to the heavy metal interception and exposure model of irrigation water
Total amount.Each route of exposure can be calculated to the contribution rate of heavy metal.A huge sum of money is absorbed to crops to further deepen people
The understanding of the heavy metal biologicals processes such as category, for agriculture, business personnel take targeted control measure.
Above-described embodiment illustrated below, using above-mentioned exposure model to Zunyi varying environment medium to tobacco sample
The contribution of middle content of beary metal has carried out network analysis, the results show that blade is to the absorption of heavy metal in soil for tobacco sample
The contribution of most of heavy metal elements is maximum in product, wherein respectively reaching to the contribution rate of the elements such as lead, arsenic, cadmium
49.4%, 79.1% and 98.3%, blade is to the retention of atmosphere dried wet deposition and irrigation water for heavy metal member in tobacco sample
The contribution of element is less than the contribution of heavy metal-polluted soil.Atmosphere dried wet deposition is 48.4%, 0.76% and to the contribution rate of lead, arsenic, cadmium
1.4%, blade is 2.2%, 20.1% and 0.36% for the contribution rate of lead, arsenic, cadmium to the heavy metal retention of irrigation water.
The embodiment of the present invention calculates each route of exposure to the contribution rate of heavy metal according to above-mentioned exposure model.Deepen people
Crops are absorbed with the understanding of the heavy metal biologicals process such as heavy metal, the contribution rate of different route of exposure is distinguished, for agriculture business
Personnel take targeted control measure.
Fig. 2 is the structural block diagram according to crop heavy metal pollution prediction device provided in an embodiment of the present invention, referring to figure
2, which includes model building module 201 and the first computing module 202, wherein
Model building module 201 is used for according to crops to the route of exposure of heavy metal, and the heavy metal for establishing crops is sudden and violent
Reveal model；First computing module 202 is used to calculate the heavy metal concentration in crops according to the heavy metal exposure model.
Can traditional environmental improvement measure get a desired effect in the presence of very big uncertainty.The present invention is with leaf class agriculture
For crop, each route of exposure of crops is considered, exposure assessment is carried out to crops.
CAC is " to the biology exposed by food source relevant with other, chemically and physically to the definition of exposure assessment
The qualitative and/or quantitative assessment of the equal possible intake of Hazard factors " (FAO/WHO, 2008).
For crops to the route of exposure of heavy metal, the source of heavy metal in crops is determined.Wherein, route of exposure packet
Include four parts: chemicals discharge source and mechanism, and chemicals are detained in the medium and migrate that (or belt chemicals medium moves
Move), exposure position and exposure chamber.In the embodiment of the present invention, crops to the route of exposure of heavy metal include atmosphere, soil and
Irrigation water.
Further, it in the route of exposure according to crops to heavy metal, determines the source of heavy metal in crops, establishes
After the heavy metal exposure model of crops.And then it being capable of atmosphere based on crop growth environment, soil, related in irrigation water
Heavy metal concentration is horizontal, and according to exposure model, the heavy metal concentration calculated in crops is horizontal.Reach in look-ahead crops
The purpose of heavy metal concentration avoids the loss of peasant household so that peasant household takes targetedly measure.
Crop heavy metal pollution prediction method and device provided in an embodiment of the present invention, according to crops to heavy metal
Route of exposure establishes the heavy metal exposure model of crops, calculates the heavy metal concentration in crops.Reach look-ahead farming
The purpose of heavy metal concentration in object.Analysis detection is carried out after crop maturity with existing detection method, it is difficult to avoid farming
The loss of object heavy metals exceeding standard is compared.The present invention comprehensively considers the route of exposure such as atmosphere, soil, irrigation water, in advance accurate prediction
Heavy metal concentration in crops avoids the loss of peasant household so that peasant household takes targetedly measure, improves the life of agricultural product
Produce efficiency.
On the basis of the above embodiments, the model building module is specifically used for:
According to blade it is dry to Atmospheric particulates to the absorption of heavy metal in soil, blade/the heavy metal retention of wet deposition with
And blade retains the heavy metal of irrigation water, is based on the crop growth period, establishes the heavy metal exposure model of crops；
By taking the heavy metal exposure model of leaf class crops as an example.Model in model foundation process and method embodiment is built
Vertical process is identical, and details are not described herein.
The heavy metal exposure model of leaf class crops are as follows:
In formula, QleafTotal metals in blade, mg；
UptakemetalsUptake of the blade to heavy metal in soil；
Dry_deposition_intercepted is heavy metal interception of the blade to Atmospheric particulates dry deposition；
Wet_deposition_aerosol_intercepted is that blade cuts the heavy metal of Atmospheric particulates wet deposition
Allowance；
Irrigation_intercepted is heavy metal interception of the blade to irrigation water；
CleafTo harvest season blade heavy metal concentration；
Qleaf_harvestHarvest season blade heavy metal quality；
SfieldFor field area；
mharv_leafTo harvest season unit soil region leaf quality.
On the basis of the various embodiments described above, described device further includes the second computing module, for according to the exposed mould
Type calculates each route of exposure to the contribution rate of heavy metal.
Specifically, according to above-mentioned blade to the uptake of heavy metal in soil, blade does/wet deposition to Atmospheric particulates
Heavy metal interception, blade calculates heavy metal in the blade obtained to the heavy metal interception and exposure model of irrigation water
Total amount.Each route of exposure can be calculated to the contribution rate of heavy metal.A huge sum of money is absorbed to crops to further deepen people
The understanding of the heavy metal biologicals processes such as category, for agriculture, business personnel take targeted control measure.
Above-described embodiment illustrated below, using above-mentioned exposure model to Zunyi varying environment medium to tobacco sample
The contribution of middle content of beary metal has carried out network analysis, the results show that blade is to the absorption of heavy metal in soil for tobacco sample
The contribution of most of heavy metal elements is maximum in product, wherein respectively reaching to the contribution rate of the elements such as lead, arsenic, cadmium
49.4%, 79.1% and 98.3%, blade is to the retention of atmosphere dried wet deposition and irrigation water for heavy metal member in tobacco sample
The contribution of element is less than the contribution of heavy metal-polluted soil.Atmosphere dried wet deposition is 48.4%, 0.76% and to the contribution rate of lead, arsenic, cadmium
1.4%, blade is 2.2%, 20.1% and 0.36% for the contribution rate of lead, arsenic, cadmium to the heavy metal retention of irrigation water.
The embodiment of the present invention calculates each route of exposure to the contribution rate of heavy metal according to above-mentioned exposure model.Deepen people
Crops are absorbed with the understanding of the heavy metal biologicals process such as heavy metal, the contribution rate of different route of exposure is distinguished, for agriculture business
Personnel take targeted control measure.
The present invention provides a kind of computer program product, and the computer program product includes being stored in non-transient computer
Computer program on readable storage medium storing program for executing, the computer program include program instruction, when described program is instructed by computer
When execution, the computer is made to execute method provided by above-mentioned each method embodiment.For example, according to crops to a huge sum of money
The route of exposure of category establishes the heavy metal exposure model of crops；According to the exposure model, the heavy metal in crops is calculated
Concentration.
The present invention provides a kind of non-transient computer readable storage medium, and the non-transient computer readable storage medium is deposited
Computer instruction is stored up, the computer instruction makes the computer execute method provided by above-mentioned each method embodiment.Such as
Include: the route of exposure according to crops to heavy metal, establishes the heavy metal exposure model of crops；According to the exposed mould
Type calculates the heavy metal concentration in crops.
This those of ordinary skill in the art, which is understood that, realizes that all or part of the steps of above method embodiment can lead to
The relevant hardware of program instruction is crossed to complete, program above-mentioned can be stored in a computer readable storage medium, the journey
Sequence when being executed, executes step including the steps of the foregoing method embodiments；And storage medium above-mentioned include: ROM, RAM, magnetic disk or
The various media that can store program code such as CD.
Through the above description of the embodiments, those skilled in the art can be understood that each embodiment can
It realizes by means of software and necessary general hardware platform, naturally it is also possible to pass through hardware.Based on this understanding, on
Stating technical solution, substantially the part that contributes to existing technology can be embodied in the form of software products in other words, should
Computer software product may be stored in a computer readable storage medium, such as ROM/RAM, magnetic disk, CD, including several fingers
It enables and using so that a computer equipment (can be personal computer, server or the network equipment etc.) executes each implementation
Method described in certain parts of example or embodiment.
Finally, it should be noted that the above embodiments are merely illustrative of the technical solutions of the present invention, rather than its limitations；Although
Present invention has been described in detail with reference to the aforementioned embodiments, for the ordinary skill in the art, it is possible to understand that
These embodiments can be carried out with a variety of variations, modification, replacement without departing from the principles and spirit of the present invention and become
Type, all within the spirits and principles of the present invention, any modification, equivalent replacement, improvement and so on should be included in the present invention
Protection scope within.
Claims (9)
1. a kind of crop heavy metal pollution prediction method characterized by comprising
According to crops to the route of exposure of heavy metal, the heavy metal exposure model of crops is established；
According to the exposure model, the heavy metal concentration in crops is calculated.
2. crop heavy metal pollution prediction method according to claim 1, which is characterized in that the crops are to a huge sum of money
The route of exposure of category includes:
Atmosphere, soil and irrigation water in crop growth environment.
3. crop heavy metal pollution prediction method according to claim 2, which is characterized in that described according to crops pair
The route of exposure of heavy metal, the heavy metal exposure model for establishing crops specifically include:
According to blade it is dry to Atmospheric particulates to the absorption of heavy metal in soil, blade/the heavy metal retention of wet deposition and leaf
Piece retains the heavy metal of irrigation water, is based on the crop growth period, establishes the heavy metal exposure model of crops；
The exposure model are as follows:
In formula, QleafTotal metals in blade, mg；
UptakemetalsUptake of the blade to heavy metal in soil；
Dry_deposition_intercepted is heavy metal interception of the blade to Atmospheric particulates dry deposition；
Wet_deposition_aerosol_intercepted is heavy metal interception of the blade to Atmospheric particulates wet deposition；
Irrigation_intercepted is heavy metal interception of the blade to irrigation water；
CleafTo harvest season blade heavy metal concentration；
Qleaf_harveHarvest season blade heavy metal quality；
SfieldFor field area；
mharv_leafTo harvest season unit soil region leaf quality.
4. crop heavy metal pollution prediction method according to claim 1, which is characterized in that the method also includes:
According to the exposure model, each route of exposure is calculated to the contribution rate of heavy metal.
5. a kind of crop heavy metal pollution prediction device characterized by comprising
Model building module establishes the heavy metal exposure model of crops for the route of exposure according to crops to heavy metal；
First computing module, for calculating the heavy metal concentration in crops according to the exposure model.
6. device according to claim 5, which is characterized in that the model building module is specifically used for:
According to blade it is dry to Atmospheric particulates to the absorption of heavy metal in soil, blade/the heavy metal retention of wet deposition and leaf
Piece retains the heavy metal of irrigation water, is based on the crop growth period, establishes the heavy metal exposure model of crops；
The exposure model are as follows:
In formula, QleafTotal metals in blade, mg；
UptakemetalsUptake of the blade to heavy metal in soil；
Dry_deposition_intercepted is heavy metal interception of the blade to Atmospheric particulates dry deposition；
Wet_deposition_aerosol_intercepted is heavy metal interception of the blade to Atmospheric particulates wet deposition；
Irrigation_intercepted is heavy metal interception of the blade to irrigation water；
CleafTo harvest season blade heavy metal concentration；
Qleaf_harvestHarvest season blade heavy metal quality；
SfieldFor field area；
mharv_leafTo harvest season unit soil region leaf quality.
7. device according to claim 6, which is characterized in that the model further include:
Second computing module, for calculating each route of exposure to the contribution rate of heavy metal according to the exposure model.
8. a kind of computer program product, which is characterized in that the computer program product includes being stored in non-transient computer
Computer program on readable storage medium storing program for executing, the computer program include program instruction, when described program is instructed by computer
When execution, the computer is made to execute such as the described in any item methods of Claims 1-4.
9. a kind of non-transient computer readable storage medium, which is characterized in that the non-transient computer readable storage medium is deposited
Computer instruction is stored up, the computer instruction makes the computer execute such as the described in any item methods of Claims 1-4.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810386196.0A CN108982756B (en) | 2018-04-26 | 2018-04-26 | Method and device for predicting heavy metal pollution of crops |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810386196.0A CN108982756B (en) | 2018-04-26 | 2018-04-26 | Method and device for predicting heavy metal pollution of crops |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN108982756A true CN108982756A (en) | 2018-12-11 |
| CN108982756B CN108982756B (en) | 2021-07-27 |
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