CN106952171A - A kind of corn high temperature risk class computational methods based on temperature record - Google Patents
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Abstract
The present invention relates to a kind of corn high temperature risk class computational methods based on temperature record, including：Environment temperature of acquisition and recording in being spaced at predetermined time intervals；Compared difference of the record more than the ambient temperature value of preset temperature with preset temperature；The duration summation of difference more than the ambient temperature value of preset temperature and the ambient temperature value more than preset temperature obtains a day high temperature index；High temperature index ranking is obtained to day high temperature index scalar quantization.The present invention is by by hour temperature record, calculate high temperature duration and high temperature number of days, the high temperature index on some other day, contrast high temperature index grade scale and high temperature index weight grade scale are obtained, the high temperature index ranking of this final day is obtained, pass through interpolation analysis, it the high temperature risk distribution figure in day, the moon, season and year is obtained, can quickly obtain the distribution of high temperature critical regions, be that agricultural disaster evades offer support, evidence is provided for farming activities, the efficiency and accuracy of farming is improved.
Description
Technical field
The present invention relates to technical field of agricultural information, and in particular to a kind of corn high temperature risk class based on temperature record
Computational methods.
Background technology
This part to reader introduce may be related to various aspects of the invention background technology, it is believed that can be carried to reader
The background information being provided with, so as to contribute to reader to more fully understand various aspects of the invention.It is, therefore, to be understood that our department
Point explanation be for the above purpose, and not to constitute admission of prior art.
With warming for global temperature, summer high temperature occurs often, shifts to an earlier date with hot weather compared with former years, and high temperature is lasting
Time is long, extreme weather, high temperature and arid overlaying influence easily occurs, substantially, breed difference is warmed sowing morning and evening difference to height
Evil becomes apparent, and soil moisture content is variant, and dry land endangers even more serious feature.
It is some interim stages of maize growth, such as the corn florescence, sensitive to heat evil, warmed once by higher height
There is the empty bar of corn, bald point, lacks grain, lacks the phenomenons such as row in evil, serious influence corn growth, cause corn yield and
The decline of quality, the yield and income of the harvest of influence peasant seriously, so continuing to want a kind of simple efficient high temperature
The appraisal procedure of risk, for quickly calculating.
The content of the invention
The technical problem to be solved is how to provide a kind of corn high temperature risk class computational methods based on temperature record.
For defect of the prior art, the present invention provides a kind of corn high temperature risk class based on temperature record and calculated
Method, can improve the efficiency and accuracy of farming.
In a first aspect, the invention provides a kind of corn high temperature risk class computational methods based on temperature record, including：
Environment temperature of acquisition and recording in being spaced at predetermined time intervals；
Compared difference of the record more than the ambient temperature value of preset temperature with preset temperature；
Duration more than the difference and the ambient temperature value more than preset temperature of the ambient temperature value of preset temperature is summed
To day high temperature index；
High temperature index ranking is obtained to the day high temperature index scalar quantization.
Alternatively, the predetermined amount of time each within the ticket reserving time, which gathers an environment temperature, also includes to meteorological data
Cleaned.
Alternatively, it is described high temperature index ranking is obtained to the day high temperature index scalar quantization to include：
With reference to high temperature grading standard is pre-set, conditional information retrieval, the high temperature index on the day of acquisition are carried out to day high temperature index
Grade.
Alternatively, also include：
Number of days of the record more than the environment temperature of preset temperature.
Alternatively, also include：
With reference to day high temperature index ranking with pre-set high temperature number of days weight grade scale carry out day high thermal level be classified again,
High temperature index ranking on the day of acquisition is classified number again.
Alternatively, also include：
On the basis of classification high temperature index ranking again, all national weather site information on the day of acquisition use sky
Between the space interpolation instrument analyzed, point is carried out to the conversion in face to all websites day high temperature index ranking on the same day.
Alternatively, also include, carrying out time conditions filtering by the time series to the same day obtains all meteorological sites height
Warm index ranking generates spatial distribution map.
Alternatively, also include, time series within a predetermined period of time carries out all weather stations of time conditions filtering acquisition
Point high temperature index ranking is more than 2 generation high temperature risk domain distribution thematic maps.
As shown from the above technical solution, the corn high temperature risk class calculating side based on temperature record that the present invention is provided
Method, it is quick to calculate high temperature duration and high temperature number of days by by hour temperature record, the high temperature index on some other day is obtained, high temperature is contrasted
Index grade scale and high temperature index weight grade scale, obtain the high temperature index ranking of this final day, by interpolation analysis, obtain
The high temperature risk distribution figure in day, the moon, season and year is taken, the distribution of high temperature critical regions can be quickly obtained, be agricultural disaster
Offer support is provided, provide reference for government decision, more farming activities provide evidence, improve the efficiency of farming and accurate
Property.
Brief description of the drawings
In order to illustrate more clearly about the embodiment of the present invention or technical scheme of the prior art, below will be to embodiment or existing
The accompanying drawing to be used needed for having technology description is made one and simply introduced, it should be apparent that, drawings in the following description are this hairs
Some bright embodiments, for those of ordinary skill in the art, on the premise of not paying creative work, can be with root
Other accompanying drawings are obtained according to these accompanying drawings.
Fig. 1 is a kind of corn high temperature risk class computational methods flow based on temperature record in one embodiment of the invention
Schematic diagram；
Fig. 2 is the hour temperature record that uses in one embodiment of the invention；
Fig. 3 is that one embodiment of the invention high temperature risk domain is distributed thematic map；
Fig. 4 is the high temperature risk domain distribution thematic map that one embodiment of the invention high temperature index ranking is more than 2；
Fig. 5 is the high temperature risk domain distribution thematic map that one embodiment of the invention high temperature grade is more than 2；
Fig. 6 is the online disaster retrieval proof diagram of one embodiment of the invention high temperature risk domain distribution thematic map.
Embodiment
To make the purpose, technical scheme and advantage of the embodiment of the present invention clearer, below in conjunction with the embodiment of the present invention
In accompanying drawing, the technical scheme in the embodiment of the present invention is clearly and completely described, it is clear that described embodiment is
A part of embodiment of the present invention, rather than whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art
The every other embodiment obtained under the premise of creative work is not made, belongs to the scope of protection of the invention.
As shown in figure 1, the present invention provides a kind of corn high temperature risk class computational methods based on temperature record, including：
Environment temperature of acquisition and recording in being spaced at predetermined time intervals；Compared environment temperature of the record more than preset temperature with preset temperature
The difference of angle value；The difference of ambient temperature value more than preset temperature is summed with the duration of the ambient temperature value more than preset temperature
Obtain a day high temperature index；High temperature index ranking is obtained to the day high temperature index scalar quantization.The base provided below the present invention
Deploy detailed description in the corn high temperature risk class computational methods of temperature record.
First, environment temperature of acquisition and recording in being spaced at predetermined time intervals is introduced.
Specifically, each predetermined amount of time gathers an environment temperature also including being carried out to meteorological data within the ticket reserving time
Cleaning.For example from the shared online hour meteorological data of 2016 for obtaining temperature of meteorological data, while being carried out to meteorological data
Cleaning, reject have mistake or be empty data, prevent from influenceing the appearance or interference of exceptional value.As shown in Fig. 2 the present invention is used
By hour temperature record, one hour website, one data, by the way that by hour temperature record, definition of the present invention can be obtained
Meteorological index.
Secondly, introduce and compared difference of the record more than the ambient temperature value of preset temperature with preset temperature.
Day high temperature duration (RHT)：Hour temperature is more than the hourage of 34 DEG C of high temperature threshold value, unit in 0 point to 24 points of odd-numbered day
For hour (h)；The difference (RGAP) of day high temperature and threshold value：Hour temperature is more than 34 DEG C of high temperature threshold value in 0 point to 24 points of odd-numbered day
It is poor between maximum temperature values and high temperature threshold value, it is otherwise 0, unit is degree Celsius (DEG C).Specifically, S21：Temperature after cleaning
Spend on the basis of hour meteorological data, the condition filter acquisition temperature carried out to the temperature hour data of i-th day more than 34 DEG C is small
When data set Wi, Wi number of data be the day high temperature duration RHT of i-th day.S22：Temperature hour after cleaning is meteorological
On the basis of data, the condition filter more than 34 DEG C is carried out to the temperature hour data of i-th day and obtains temperature hour data Hi, Hi
Data maximum be i-th max. daily temperature RH.S23：On the basis of the maximum temperature RH that S22 is obtained, RH and height
Warm threshold value T difference is a day high temperature difference RGAP.
Again, introduce more than preset temperature ambient temperature value difference with more than preset temperature ambient temperature value when
Long summation obtains a day high temperature index.
Day high temperature in odd-numbered day with high temperature threshold value difference RGAP and day high temperature duration RHT sum, and it is high to obtain the day of this day
Warm index RI.Specifically, day high temperature index RI and the high temperature number of days DAY of i-th day is tried to achieve.Specifically, S31：To the S21 of i-th day
Day high temperature duration RHT tried to achieve with S23 and the summation of day high temperature difference RGAP Sum, the day high temperature index RI of acquisition i-th day.S32：
On the basis of day high temperature index RI that S31 is obtained, the high temperature number of days DAY of the i-th -1 day is obtained, if RI is more than 0, high temperature number of days
For DAY+1；Otherwise high temperature number of days DAY=0.The high temperature number of days DAY=0 of wherein the i-th=1 day.
Finally, introduce and high temperature index ranking is obtained to the day high temperature index scalar quantization.
Specifically, it is described high temperature index ranking is obtained to the day high temperature index scalar quantization to include：Reference is pre-set
High temperature grading standard, conditional information retrieval, the high temperature index ranking on the day of acquisition are carried out to day high temperature index.Pre-set high temperature grading
Standard is referring to table 1：
Table high temperature index grade scale on the 1st
| Day high temperature duration grading range | Day high temperature threshold value is poor | Day high temperature index | Day high temperature index ranking |
| 0 | 0 | 0 | 0 |
| 0-3 | 0-1 | 0-4 | 1 |
| 3-6 | 1-2 | 4-8 | 2 |
| 6-9 | 2-3 | 8-12 | 3 |
| 9-12 | 3-4 | 12-16 | 4 |
| More than 12 | More than 4 | More than 16 | 5 |
Present invention additionally comprises：Number of days of the record more than the environment temperature of preset temperature.Day high temperature index (RI)：To in the odd-numbered day
Day high temperature sum with high temperature threshold value difference RGAP and the progress of day high temperature duration RHT and obtain the day high temperature index RI of this day；Day high temperature
Index ranking (RIG)：Scalar quantization is carried out to day high temperature index RI, classification level from 0~5 grade, representative be from without high temperature to
High temperature very serious progressive formation.
The corn high temperature risk class computational methods of the present invention also include：With reference to day high temperature index ranking and pre-set
High temperature number of days weight grade scale carries out day high thermal level and is classified again, and the high temperature index ranking on the day of acquisition is classified number again.With reference to day
High temperature index is with high temperature number of days weight grade scale, and high temperature index ranking RIG and high temperature number of days DAY to i-th day carry out condition inspection
Rope, the high temperature index ranking for obtaining i-th day is classified number RIG again.High temperature number of days weight grade scale is referring to table 2：
Table high temperature index reclassification standard on the 2nd
| Day high temperature index ranking | 5 days high thermal levels | 4 days high thermal levels | 3 days high thermal levels | 2 days high thermal levels | 1 day high thermal level |
| 1 | 4 | 3 | 2 | 1 | 1 |
| 2 | 5 | 4 | 3 | 2 | 2 |
| 3 | 5 | 5 | 4 | 3 | 3 |
| 4 | 5 | 5 | 5 | 4 | 4 |
| 5 | 5 | 5 | 5 | 5 | 5 |
The present invention, also includes：On the basis of classification high temperature index ranking again, all national weather stations on the day of acquisition
Point information, using the space interpolation instrument of spatial analysis, face is arrived to all websites day high temperature index ranking progress point on the same day
Conversion.Specifically, as shown in figure 3, on the basis of classification high temperature index ranking RIG again, obtaining all national gas of i-th day
As site information (including Site ID, longitude, latitude, high temperature index ranking RIG), the space interpolation of ArcGIS spatial analysis is used
Instrument, point is carried out to all websites of i-th day day high temperature index ranking to the conversion in face.Also include, pass through the time to the same day
Sequence carries out time conditions filtering and obtains all meteorological site high temperature index ranking generation spatial distribution maps.Pass through in July, 2016
The time series of 23 days carries out all meteorological site high temperature index ranking RIG of time conditions filtering acquisition and is spatially distributed, and ties
Fruit is as shown in Figure 4.
In the present invention, time series within a predetermined period of time carries out time conditions filtering and obtains all meteorological sites height
Warm index ranking is more than 2 generation high temperature risk domain distribution thematic maps.Specifically for example, when being carried out by the time series of 2016
Between condition filter obtain the spatially distribution that all meteorological site high temperature index ranking RIG are more than 2, as a result as shown in Figure 5.Separately
Outside, by gathering the corn High Temperature Disaster data for arriving August 15 on July 15th, 2016 in cyber journalism, July 15 in 2016 is verified
Day carries out time conditions filtering to the time series of August 15 and obtains all meteorological site high temperature index ranking RIG more than 2 in sky
Between upper distribution meet with really relative, as a result as shown in Figure 6.
In summary, the corn high temperature risk class computational methods based on temperature record that the present invention is provided, by by small
When temperature record, it is quick to calculate high temperature duration and high temperature number of days, obtain the high temperature index on some other day, contrast high temperature index grade scale
With high temperature index weight grade scale, the high temperature index ranking of this final day is obtained, by interpolation analysis, day, the moon, season is obtained
With the high temperature risk distribution figure in year, the distribution of high temperature critical regions can be quickly obtained, is evading for agricultural disaster to provide branch
Hold, reference is provided for government decision, more farming activities provide evidence, improve the efficiency and accuracy of farming.
It should be understood by those skilled in the art that, embodiments herein can be provided as method, system or computer program
Product.Therefore, the application can be using the reality in terms of complete hardware embodiment, complete software embodiment or combination software and hardware
Apply the form of example.Moreover, the application can be used in one or more computers for wherein including computer usable program code
The computer program production that usable storage medium is implemented on (including but is not limited to magnetic disk storage, CD-ROM, optical memory etc.)
The form of product.
The application is the flow with reference to method, equipment (system) and computer program product according to the embodiment of the present application
Figure and/or block diagram are described.It should be understood that every one stream in flow chart and/or block diagram can be realized by computer program instructions
Journey and/or the flow in square frame and flow chart and/or block diagram and/or the combination of square frame.These computer programs can be provided
The processor of all-purpose computer, special-purpose computer, Embedded Processor or other programmable data processing devices is instructed to produce
A raw machine so that produced by the instruction of computer or the computing device of other programmable data processing devices for real
The device for the function of being specified in present one flow of flow chart or one square frame of multiple flows and/or block diagram or multiple square frames.
These computer program instructions, which may be alternatively stored in, can guide computer or other programmable data processing devices with spy
Determine in the computer-readable memory that mode works so that the instruction being stored in the computer-readable memory, which is produced, to be included referring to
Make the manufacture of device, the command device realize in one flow of flow chart or multiple flows and/or one square frame of block diagram or
The function of being specified in multiple square frames.
These computer program instructions can be also loaded into computer or other programmable data processing devices so that in meter
Series of operation steps is performed on calculation machine or other programmable devices to produce computer implemented processing, thus in computer or
The instruction performed on other programmable devices is provided for realizing in one flow of flow chart or multiple flows and/or block diagram one
The step of function of being specified in individual square frame or multiple square frames.
It should be noted that herein, such as first and second or the like relational terms are used merely to a reality
Body or operation make a distinction with another entity or operation, and not necessarily require or imply these entities or deposited between operating
In any this actual relation or order.Moreover, term " comprising ", "comprising" or its any other variant are intended to
Nonexcludability is included, so that process, method, article or equipment including a series of key elements not only will including those
Element, but also other key elements including being not expressly set out, or also include being this process, method, article or equipment
Intrinsic key element.In the absence of more restrictions, the key element limited by sentence "including a ...", it is not excluded that
Also there is other identical element in process, method, article or equipment including the key element.Term " on ", " under " etc. refers to
The orientation or position relationship shown is, based on orientation shown in the drawings or position relationship, to be for only for ease of the description present invention and simplify
Description, rather than indicate or imply that the device or element of meaning must have specific orientation, with specific azimuth configuration and behaviour
Make, therefore be not considered as limiting the invention.Unless otherwise clearly defined and limited, term " installation ", " connected ",
" connection " should be interpreted broadly, for example, it may be being fixedly connected or being detachably connected, or be integrally connected；Can be
Mechanically connect or electrically connect；Can be joined directly together, can also be indirectly connected to by intermediary, can be two
The connection of element internal.For the ordinary skill in the art, above-mentioned term can be understood at this as the case may be
Concrete meaning in invention.
In the specification of the present invention, numerous specific details are set forth.Although it is understood that, embodiments of the invention can
To be put into practice in the case of these no details.In some instances, known method, structure and skill is not been shown in detail
Art, so as not to obscure the understanding of this description.Similarly, it will be appreciated that disclose in order to simplify the present invention and helps to understand respectively
One or more of individual inventive aspect, above in the description of the exemplary embodiment of the present invention, each of the invention is special
Levy and be grouped together into sometimes in single embodiment, figure or descriptions thereof.However, should not be by the method solution of the disclosure
Release and be intended in reflection is following：I.e. the present invention for required protection requirement is than the feature that is expressly recited in each claim more
Many features.More precisely, as the following claims reflect, inventive aspect is to be less than single reality disclosed above
Apply all features of example.Therefore, it then follows thus claims of embodiment are expressly incorporated in the embodiment,
Wherein each claim is in itself as the separate embodiments of the present invention.It should be noted that in the case where not conflicting, this
The feature in embodiment and embodiment in application can be mutually combined.The invention is not limited in any single aspect,
Any single embodiment is not limited to, any combination and/or the displacement of these aspects and/or embodiment is also not limited to.And
And, can be used alone the present invention each aspect and/or embodiment or with other one or more aspects and/or its implementation
Example is used in combination.
Finally it should be noted that：Various embodiments above is merely illustrative of the technical solution of the present invention, rather than its limitations；To the greatest extent
The present invention is described in detail with reference to foregoing embodiments for pipe, it will be understood by those within the art that：Its according to
The technical scheme described in foregoing embodiments can so be modified, or which part or all technical characteristic are entered
Row equivalent；And these modifications or replacement, the essence of appropriate technical solution is departed from various embodiments of the present invention technology
The scope of scheme, it all should cover among the claim of the present invention and the scope of specification.
Claims (8)
1. a kind of corn high temperature risk class computational methods based on temperature record, it is characterised in that including：
Environment temperature of acquisition and recording in being spaced at predetermined time intervals；
Compared difference of the record more than the ambient temperature value of preset temperature with preset temperature；
The duration summation of difference more than the ambient temperature value of preset temperature and the ambient temperature value more than preset temperature obtains day
High temperature index；
High temperature index ranking is obtained to the day high temperature index scalar quantization.
2. corn high temperature risk class computational methods according to claim 1, it is characterised in that described within the ticket reserving time
Each predetermined amount of time, which gathers an environment temperature, also to be included cleaning meteorological data.
3. corn high temperature risk class computational methods according to claim 1, it is characterised in that described to the day high temperature
Index scalar quantization, which obtains high temperature index ranking, to be included：
With reference to high temperature grading standard is pre-set, conditional information retrieval, the high temperature index ranking on the day of acquisition are carried out to day high temperature index.
4. corn high temperature risk class computational methods according to claim 1, it is characterised in that also include：
Number of days of the record more than the environment temperature of preset temperature.
5. corn high temperature risk class computational methods according to claim 4, it is characterised in that also include：
With reference to day high temperature index ranking with pre-set high temperature number of days weight grade scale carry out day high thermal level be classified again, obtain
The high temperature index ranking on the same day is classified number again.
6. corn high temperature risk class computational methods according to claim 5, it is characterised in that also include：
On the basis of classification high temperature index ranking again, all national weather site information on the day of acquisition use space point
The space interpolation instrument of analysis, point is carried out to the conversion in face to all websites day high temperature index ranking on the same day.
7. corn high temperature risk class computational methods according to claim 6, it is characterised in that also include, by working as
The time series of day carries out time conditions filtering and obtains all meteorological site high temperature index rankings generation spatial distribution maps.
8. corn high temperature risk class computational methods according to claim 6, it is characterised in that also include, in pre- timing
Between time series in section carry out time conditions filtering and obtain all meteorological site high temperature index rankings being more than 2 generation high temperature risks
Spatial distribution thematic map.
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| CN107392503A (en) * | 2017-08-18 | 2017-11-24 | 中国农业大学 | A kind of appraisal procedure of corn Climatic regionalization risk |
| CN110956322A (en) * | 2019-11-28 | 2020-04-03 | 河南省气象科学研究所 | Summer corn flowering phase high-temperature disaster risk prediction method under climate warming trend |
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| 尹小刚 等: "东北地区高温对玉米生产的影响及对策", 《应用生态学报》 * |
| 罗晓玲 等: "广东高温热浪致人体健康风险区划", 《气候变化研究进展》 * |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107392503A (en) * | 2017-08-18 | 2017-11-24 | 中国农业大学 | A kind of appraisal procedure of corn Climatic regionalization risk |
| CN110956322A (en) * | 2019-11-28 | 2020-04-03 | 河南省气象科学研究所 | Summer corn flowering phase high-temperature disaster risk prediction method under climate warming trend |
| CN110956322B (en) * | 2019-11-28 | 2023-06-20 | 河南省气象科学研究所 | Summer maize flowering phase high-temperature disaster risk prediction method under climate warming trend |
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