CN116562465A - Beef cattle greenhouse gas total emission prediction method - Google Patents
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- 235000015278 beef Nutrition 0.000 title claims abstract description 136
- 241000283690 Bos taurus Species 0.000 title claims abstract description 127
- 238000000034 method Methods 0.000 title claims abstract description 64
- 239000005431 greenhouse gas Substances 0.000 title claims abstract description 51
- IJGRMHOSHXDMSA-UHFFFAOYSA-N Atomic nitrogen Chemical compound N#N IJGRMHOSHXDMSA-UHFFFAOYSA-N 0.000 claims description 60
- VNWKTOKETHGBQD-UHFFFAOYSA-N methane Chemical compound C VNWKTOKETHGBQD-UHFFFAOYSA-N 0.000 claims description 34
- 229910052757 nitrogen Inorganic materials 0.000 claims description 30
- GQPLMRYTRLFLPF-UHFFFAOYSA-N Nitrous Oxide Chemical compound [O-][N+]#N GQPLMRYTRLFLPF-UHFFFAOYSA-N 0.000 claims description 24
- 239000001272 nitrous oxide Substances 0.000 claims description 12
- 230000035935 pregnancy Effects 0.000 claims description 11
- 238000005314 correlation function Methods 0.000 claims description 10
- 230000029142 excretion Effects 0.000 claims description 10
- 230000006651 lactation Effects 0.000 claims description 8
- 238000012423 maintenance Methods 0.000 claims description 8
- 230000014759 maintenance of location Effects 0.000 claims description 4
- 235000019750 Crude protein Nutrition 0.000 claims description 3
- 238000006243 chemical reaction Methods 0.000 claims description 3
- 238000010276 construction Methods 0.000 claims description 3
- 230000008021 deposition Effects 0.000 claims description 3
- 210000003608 fece Anatomy 0.000 claims description 3
- 239000010871 livestock manure Substances 0.000 claims description 3
- 235000013336 milk Nutrition 0.000 claims description 3
- 239000008267 milk Substances 0.000 claims description 3
- 210000004080 milk Anatomy 0.000 claims description 3
- 235000021243 milk fat Nutrition 0.000 claims description 3
- 239000002689 soil Substances 0.000 claims description 3
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 3
- 235000019621 digestibility Nutrition 0.000 claims description 2
- 239000003814 drug Substances 0.000 claims description 2
- 229940079593 drug Drugs 0.000 claims description 2
- 230000009466 transformation Effects 0.000 claims description 2
- 238000001514 detection method Methods 0.000 abstract description 2
- 239000007789 gas Substances 0.000 description 2
- 238000000691 measurement method Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000011156 evaluation Methods 0.000 description 1
- 244000144972 livestock Species 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000001737 promoting effect Effects 0.000 description 1
- 230000000717 retained effect Effects 0.000 description 1
- 239000004065 semiconductor Substances 0.000 description 1
- 241000894007 species Species 0.000 description 1
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Abstract
A beef cattle greenhouse gas total emission prediction method relates to the technical field of greenhouse gas emission, and solves the problems that the existing method needs too many economic parameter limiting methods to be applied when predicting the beef cattle greenhouse gas emission, and meanwhile, the cost of detection equipment is high. The method comprises the following steps: based on the problem of rapid prediction of total emission of beef cattle greenhouse gases, establishing a functional relation of greenhouse gas emission; and integrating the functional relationship to construct a greenhouse gas prediction model, wherein the model is used for predicting the greenhouse gas emission of the beef cattle based on the beef cattle scale, the feeding environment and the feed precision. According to the method, the beef cattle greenhouse gas influence factors are used for establishing the prediction model, so that the total emission of greenhouse gases is effectively predicted. The method provided by the invention is used for effectively reducing the emission of greenhouse gases, increasing the sustainability and providing a method reference for pushing beef cattle greenhouse gas emission reduction.
Description
Technical Field
The invention relates to the technical field of greenhouse gas emission, in particular to a beef cattle greenhouse gas total emission prediction method.
Background
Agriculture is the second largest source of greenhouse gas emissions, with livestock being the main source of agricultural greenhouse gases, primarily methane and nitrous oxide. Taking beef cattle greenhouse gas emission as an example, the beef cattle emits methane and nitrous oxide gas in the feeding process, and theoretical reference is provided for realizing the total emission of greenhouse gas.
The existing beef cattle greenhouse gas emission prediction method comprises a life cycle method, an input-output method and an actual measurement method. These methods have certain drawbacks, such as the difficulty in establishing a lifecycle evaluation standard with universality by a lifecycle method, and the possibility of generating an unfair result when comparing greenhouse gas emission conditions in different areas. The input-output method can take into account beef cattle greenhouse gas emissions in the whole economic system, but needs to estimate a plurality of economic parameters, which limit the use of the method, and the actual measurement method uses equipment such as a gas analyzer for measurement, but the method is expensive and needs special technicians to operate. Therefore, it is necessary to design a simple and easy method for predicting total greenhouse gas emissions of beef cattle.
Disclosure of Invention
The invention provides a beef cattle greenhouse gas total emission prediction method, which aims to solve the problems that the existing method needs too many economic parameter limiting methods to be applied when predicting the beef cattle greenhouse gas emission, and the cost of detection equipment is high.
The method for predicting the total emission of beef cattle greenhouse gases is realized by the following steps:
step one, building a functional relation of greenhouse gas emission, wherein the functional relation comprises a correlation function of methane emission and beef cattle scale and feed precision, and a correlation function of nitrous oxide emission and beef cattle scale, feeding environment and feed precision;
integrating the association function established in the first step, constructing a greenhouse gas prediction model, and predicting the greenhouse gas emission of the beef cattle based on the beef cattle scale, the feeding environment and the feeding precision by adopting the prediction model; the predictive model formula is:
wherein->For methane emission, +.>Is nitrous oxide emissions.
In the first step, the correlation function between the methane emission and the beef cattle scale and the feed precision is expressed by the following formula:
wherein->Is of beef cattle type>For the size of beef cattle of different species,the beef cattle are of different beef cattle types; />Is methane conversion factor, < >>For days of the year, < > and->Is the methane energy content.
The correlation function of the nitrous oxide emission amount and the beef cattle scale, the feeding environment and the feed precision construction is expressed as follows:
in which, in the process,is a feeding environment; />The beef cattle head number; />Annual nitrogen excretion rate for beef cattle species; />The total annual nitrogen excretion ratio of beef cattle in the feeding environment is the proportion; />For N in the feeding environment S 2 Emission factor of direct O emission, +.>For feeding environment S, beef cattle manage manure nitrogen through NH 3 And NO x The proportion of volatilization; />For N generated in atmospheric nitrogen deposition of soil and water surface 2 An emission factor of O emissions; />For conversion factor N 2 Conversion of O-N emissions to N 2 O is discharged.
Further, the total energy types of different beef cattle speciesThe following formula is adopted:
;
in the method, in the process of the invention,to maintain clean energy->For purifying lactation, the drug is added with->For pregnancy with clear energy, ->To grow net energy, add->For maintaining the ratio of net energy to consumed digestible energy in beef cattle ration,/I->The ratio of net energy for growth to digestible energy consumed in beef cattle ration is->The proportion of the total energy for the digestibility of beef cattle.
Further, the net energy of growthThe formula is adopted as follows: />Wherein->Is the weight of beef cattle, is->Is average weight of beef cattle in middle period>For average daily gain of beef cattle>Is the beef cattle transformation coefficient.
The maintenance of clean energyExpressed by the formula: />The present invention relates to a method for manufacturing a semiconductor deviceIn (I)>For default value, ++>Is the average weight of beef cattle.
The pregnancy net energyExpressed by the formula: />Wherein->Is pregnancy coefficient;
lactation clean energyExpressed by the formula: />Wherein->In order to produce the milk in an amount,is the milk fat percentage.
Further, the ratio REM of net energy to consumed digestible energy available in the beef ration is expressed as:
。
the ratio REG of net energy available for growth to digestible energy consumed in the beef ration is expressed as follows:
。
further, the annual nitrogen excretion rate of beef cattle species is expressed as:in which, in the process,for daily consumption of nitrogen in beef cattle, +.>Daily nitrogen content for beef cattle.
The daily consumption of nitrogen by the beef cattle is formulated as:the method comprises the steps of carrying out a first treatment on the surface of the In (1) the->Is the percentage of crude protein in the ration.
The daily nitrogen retention of the beef cattle is formulated as:;
in the method, in the process of the invention,for average daily gain of beef cattle>The energy is purified for growth.
The invention has the beneficial effects that:
according to the prediction method, the prediction model is built by using beef cattle greenhouse gas influence factors, so that the total emission of greenhouse gases is effectively predicted.
The prediction method of the invention provides a method reference for effectively reducing greenhouse gas emission, increasing sustainability and promoting beef cattle greenhouse gas emission reduction.
Drawings
Fig. 1 is a flowchart of a beef cattle greenhouse gas total emission prediction method according to the invention.
FIG. 2 is a schematic diagram of total emission of beef cattle greenhouse gases.
Detailed Description
The present embodiment will be described with reference to fig. 1 and 2, which is a method for predicting total emission of beef cattle greenhouse gases, comprising the steps of:
step one, based on the problem of rapid prediction of total emission of beef cattle greenhouse gases, a functional relation of greenhouse gas emission is established, as shown in fig. 2, according to the relation function established by beef cattle scale and feed precision: methane emissions; and (3) according to a relation function established by beef cattle scale, feed precision and feeding environment: nitrous oxide emissions; the methane emission and nitrous oxide emission constitute a total emission;
the total energy types of different beef cattle include growth net energy, maintenance net energy, gestation net energy, lactation net energy, the ratio of available maintenance net energy to consumed digestible energy in beef cattle ration, and the ratio of available growth net energy to consumed digestible energy in beef cattle ration; wherein, the growth net energy, the maintenance net energy, the pregnancy net energy and the lactation net energy form the beef cattle scale. The ratio of net energy available to be maintained to consumed digestible energy in beef cattle ration and the ratio of net energy available to be grown to consumed digestible energy in beef cattle ration form feed precision. Nitrous oxide emissions constitute the feeding environment. The daily consumption of nitrogen by beef cattle and the daily retention of nitrogen by beef cattle constitute the annual nitrogen excretion rate of beef cattle species.
In this embodiment, the correlation function between the methane emission and the beef cattle scale and the feed precision is expressed by the following formula:
wherein->Is of beef cattle type>For different beef cattle sizes, +.>The beef cattle are of different beef cattle types; />Is methane conversion factor, < >>For days of the year, < > and->Is the methane energy content.
The total energy types of the different beef cattle species are represented by the following formula:
;
in the method, in the process of the invention,indicating maintenance of clean energy, < >>Indicating lactation clean energy, ->Indicates pregnancy net energy, ->Indicating growth net energy,/->Represents the ratio of net energy to consumed digestible energy in beef ration, < >>Represents the ratio of net energy available for growth to digestible energy consumed in beef ration, < >>Indicating the proportion of the total energy of the beef cattle digestible energy.
The net energy of growthExpressed by the formula: />Wherein->Indicates the weight of beef cattle, < > and>represents average weight of beef cattle in mid-term->Represents beef conversion factor,/->Represents the average daily gain of beef cattle.
The maintenance of clean energyExpressed by the formula: />Wherein->Representing default values +.>Mean weight of beef cattle.
The pregnancy net energyExpressed by the formula: />Wherein->Represents the coefficient of pregnancy and,indicating the maintenance net energy of the beef cattle.
Lactation clean energyUsing a formula tableThe method is shown as follows: />Wherein->Indicating milk yield,/->The milk fat percentage is shown.
The ratio REM of net energy to consumed digestible energy available in the beef ration is expressed as:
;
in the method, in the process of the invention,indicating the proportion of the total energy of the beef cattle digestible energy.
The ratio REG of net energy available for growth to digestible energy consumed in the beef ration is expressed as:
;
in the method, in the process of the invention,indicating the proportion of the total energy of the beef cattle digestible energy.
The correlation function of the nitrous oxide emission amount and the beef cattle scale, the feeding environment and the feed precision construction is expressed as follows:
;
in the method, in the process of the invention,is a feeding environment; />Is meatNiu Toushu; />Annual nitrogen excretion rate for beef cattle species; />The total annual nitrogen excretion ratio of beef cattle in the feeding environment is the proportion; />For N in the feeding environment S 2 The emission factor of the direct emission of O,for feeding environment S, beef cattle manage manure nitrogen through NH 3 And NO x The proportion of volatilization; />For N generated in atmospheric nitrogen deposition of soil and water surface 2 An emission factor of O emissions; />For conversion factor N 2 Conversion of O-N emissions to N 2 O is discharged.
The annual nitrogen excretion rate of beef cattle species is expressed as:wherein->Represents the daily consumption of nitrogen by beef cattle, +.>Indicating the daily amount of nitrogen retained by the beef cattle.
The daily consumption of nitrogen by the beef cattle is formulated as:
wherein->Represents the percentage of crude protein in the ration.
The daily nitrogen retention of the beef cattle is formulated as:
;
in the method, in the process of the invention,represents average daily gain of beef cattle,/->Indicating net energy of growth.
In the embodiment, a greenhouse gas prediction model is constructed through an integrated functional relationship, and the model is used for rapidly predicting the greenhouse gas emission of the beef cattle based on the beef cattle scale, the feeding environment and the feed precision data.
The technical features of the above-described embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above-described embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The above examples illustrate only a few embodiments of the invention, which are described in detail and are not to be construed as limiting the scope of the invention. It should be noted that it will be apparent to those skilled in the art that several variations and modifications can be made without departing from the spirit of the invention, which are all within the scope of the invention. Accordingly, the scope of protection of the present invention is to be determined by the appended claims.
Claims (8)
1. A beef cattle greenhouse gas total emission prediction method is characterized by comprising the following steps: the method is realized by the following steps:
step one, building a functional relation of greenhouse gas emission, wherein the functional relation comprises a correlation function of methane emission and beef cattle scale and feed precision, and a correlation function of nitrous oxide emission and beef cattle scale, feeding environment and feed precision;
integrating the association function established in the first step, constructing a greenhouse gas prediction model, and predicting the greenhouse gas emission of the beef cattle based on the beef cattle scale, the feeding environment and the feeding precision by adopting the prediction model; the predictive model formula is:
the method comprises the steps of carrying out a first treatment on the surface of the In (1) the->For methane emission, +.>Is nitrous oxide emissions.
2. The beef cattle greenhouse gas total emission prediction method according to claim 1, wherein: in the first step, the correlation function established between the methane emission and the beef cattle scale and the feed precision is expressed by the following formula:
wherein->Is of beef cattle type>For different beef cattle sizes, +.>The beef cattle are of different beef cattle types; />Is methane conversion factor, < >>For days of the year, < > and->Is the methane energy content;
the correlation function of the nitrous oxide emission amount and the beef cattle scale, the feeding environment and the feed precision construction is expressed as follows:
wherein->Is a feeding environment; />The beef cattle head number; />Annual nitrogen excretion rate for beef cattle species; />The total annual nitrogen excretion ratio of beef cattle in the feeding environment is the proportion; />For N in the feeding environment S 2 Emission factor of direct O emission, +.>For feeding environment S, beef cattle manage manure nitrogen through NH 3 And NO x The proportion of volatilization; />For N generated in atmospheric nitrogen deposition of soil and water surface 2 An emission factor of O emissions; />For conversion factor N 2 Conversion of O-N emissions to N 2 O is discharged.
3. The beef cattle greenhouse gas total emission prediction method according to claim 2, wherein: said total energy types of different beef cattle speciesThe following formula is adopted: />;
In the method, in the process of the invention,to maintain clean energy->For purifying lactation, the drug is added with->For pregnancy with clear energy, ->To grow net energy, add->For maintaining the ratio of net energy to consumed digestible energy in beef cattle ration,/I->The ratio of net energy for growth to digestible energy consumed in beef cattle ration is->The proportion of the total energy for the digestibility of beef cattle.
4. A beef cattle greenhouse gas total emission prediction method according to claim 3, wherein: the net energy of growthThe formula is adopted as follows: />Wherein->For the weight of the beef cattle,is average weight of beef cattle in middle period>For average daily gain of beef cattle>Is the beef cattle transformation coefficient;
the maintenance of clean energyExpressed by the formula: />Wherein->For default value, ++>Is the average weight of beef cattle;
the pregnancy net energyExpressed by the formula: />Wherein->Is pregnancy coefficient;
lactation clean energyExpressed by the formula: />Wherein->For milk yield, add->Is the milk fat percentage.
5. A beef cattle greenhouse gas total emission prediction method according to claim 3, wherein: the ratio REM of net energy to consumed digestible energy available in the beef ration is expressed as:
;
the ratio REG of net energy available for growth to digestible energy consumed in the beef ration is expressed as follows:
。
6. the beef cattle greenhouse gas total emission prediction method according to claim 2, wherein: the annual nitrogen excretion rate of beef cattle species is expressed as:wherein->For daily consumption of nitrogen in beef cattle, +.>Daily nitrogen content for beef cattle.
7. The method for predicting total greenhouse gas emissions of beef cattle of claim 6, wherein: the daily consumption of nitrogen by the beef cattle is formulated as:;
in the method, in the process of the invention,is the percentage of crude protein in the ration.
8. The method for predicting total greenhouse gas emissions of beef cattle of claim 6, wherein: the daily nitrogen retention of the beef cattle is formulated as:;
in the method, in the process of the invention,for average daily gain of beef cattle>The energy is purified for growth.
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US20200309758A1 (en) * | 2017-09-01 | 2020-10-01 | Leibniz-Institut Für Nutztierbiologie | Prediction method for methane (ch4) emission of a dairy cow |
CN115718746A (en) * | 2022-05-16 | 2023-02-28 | 南开大学 | Rice field methane emission prediction method based on machine learning |
CN116090639A (en) * | 2023-01-17 | 2023-05-09 | 中国科学院地理科学与资源研究所 | Method and device for predicting total process greenhouse gas emission of agricultural land system |
CN116128161A (en) * | 2023-04-12 | 2023-05-16 | 南京农业大学 | Agricultural land carbon emission prediction method and system |
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US20200309758A1 (en) * | 2017-09-01 | 2020-10-01 | Leibniz-Institut Für Nutztierbiologie | Prediction method for methane (ch4) emission of a dairy cow |
CN115718746A (en) * | 2022-05-16 | 2023-02-28 | 南开大学 | Rice field methane emission prediction method based on machine learning |
CN116090639A (en) * | 2023-01-17 | 2023-05-09 | 中国科学院地理科学与资源研究所 | Method and device for predicting total process greenhouse gas emission of agricultural land system |
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Title |
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