CN111832970B - Rice climate quality authentication method for yellow-leading irrigation area - Google Patents

Rice climate quality authentication method for yellow-leading irrigation area Download PDF

Info

Publication number
CN111832970B
CN111832970B CN202010729918.5A CN202010729918A CN111832970B CN 111832970 B CN111832970 B CN 111832970B CN 202010729918 A CN202010729918 A CN 202010729918A CN 111832970 B CN111832970 B CN 111832970B
Authority
CN
China
Prior art keywords
rice
score
climate
temperature
period
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN202010729918.5A
Other languages
Chinese (zh)
Other versions
CN111832970A (en
Inventor
薛丰昌
戈晓峰
田娟
汤伟干
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Nanjing University of Information Science and Technology
Original Assignee
Nanjing University of Information Science and Technology
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Nanjing University of Information Science and Technology filed Critical Nanjing University of Information Science and Technology
Priority to CN202010729918.5A priority Critical patent/CN111832970B/en
Publication of CN111832970A publication Critical patent/CN111832970A/en
Application granted granted Critical
Publication of CN111832970B publication Critical patent/CN111832970B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0639Performance analysis of employees; Performance analysis of enterprise or organisation operations
    • G06Q10/06393Score-carding, benchmarking or key performance indicator [KPI] analysis
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/02Agriculture; Fishing; Forestry; Mining
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02ATECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
    • Y02A90/00Technologies having an indirect contribution to adaptation to climate change
    • Y02A90/10Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation

Landscapes

  • Business, Economics & Management (AREA)
  • Human Resources & Organizations (AREA)
  • Engineering & Computer Science (AREA)
  • Economics (AREA)
  • Strategic Management (AREA)
  • Tourism & Hospitality (AREA)
  • General Business, Economics & Management (AREA)
  • Theoretical Computer Science (AREA)
  • Educational Administration (AREA)
  • Marketing (AREA)
  • General Physics & Mathematics (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Development Economics (AREA)
  • Physics & Mathematics (AREA)
  • Quality & Reliability (AREA)
  • Operations Research (AREA)
  • Game Theory and Decision Science (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Agronomy & Crop Science (AREA)
  • Animal Husbandry (AREA)
  • Marine Sciences & Fisheries (AREA)
  • Mining & Mineral Resources (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Primary Health Care (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The invention discloses a paddy rice climate quality authentication method in a yellow lead irrigation area, which comprises the following steps: step one, collecting meteorological data of rice in each growth period and rainfall insolation data of the past year; calculating a scoring index according to the data collected in the first step, and then performing evaluation scoring; step three, comprehensively evaluating the rice climate quality certification final score according to the rice planting climate suitability division score and the rice current year growth climate condition score obtained in the step two; and step four, grading the rice climate quality of the yellow-lead irrigation area according to the final score of the rice climate quality authentication obtained in the step three. The invention has the advantages of science, reasonability, high efficiency and the like.

Description

Rice climate quality authentication method for yellow-leading irrigation area
Technical Field
The invention belongs to the field of agricultural meteorology, relates to a paddy rice climate quality authentication method, and particularly relates to a paddy rice climate quality authentication method in a yellow-leading irrigation area.
Background
The agricultural product climate quality authentication refers to the assessment of the quality grade of the influence of the weather climate conditions on the agricultural product quality. With the development of the agricultural product market, consumers are increasingly concerned about the quality of agricultural products, and thus the emerging agricultural product climate quality certification work is rapidly popularized.
However, in the prior art, qualitative rating authentication is mainly performed on the growth climate conditions of agricultural products according to experience and historical data, for example, the climate characteristics research is performed during the Huang Xigong meter growth period, qualitative rating is performed according to expert experience after the current year climate conditions are compared with the optimal climate condition range, and a large instability factor exists in the rating process.
Disclosure of Invention
The invention provides a paddy rice climate quality authentication method in a yellow lead irrigation area, which aims to overcome the defects of the prior art.
In order to achieve the above purpose, the invention provides a method for authenticating the quality of paddy rice climate in a yellow-leading irrigation area, which has the following characteristics: the method comprises the following steps: step one, collecting meteorological data of rice in each growth period and rainfall insolation data of the past year;
calculating a scoring index according to the data collected in the first step, and then performing evaluation scoring, wherein the method specifically comprises the following steps:
a. calculating the average minimum temperature in July, the average temperature in July and the accumulated temperature of more than or equal to 10 ℃ in the rice growth period, and then correspondingly evaluating to obtain the grade score of the rice climate suitable zone corresponding to the average minimum temperature in July, the grade score of the rice climate suitable zone corresponding to the average temperature in July and the grade score of the rice climate suitable zone corresponding to the accumulated temperature of more than or equal to 10 ℃ in the rice growth period, and then comprehensively evaluating to obtain the rice planting climate suitable zone score; b1, calculating average temperatures of a rice sowing-seedling emergence stage, a trefoil stage, a transplanting-turning green stage, a tillering stage, a jointing stage-booting stage, a heading stage and a breast-maturing stage, obtaining a sowing-seedling emergence stage temperature resource score, a trefoil stage temperature resource score, a transplanting-turning green stage temperature resource score, a tillering stage temperature resource score, a jointing stage-booting stage temperature resource score, a heading stage temperature resource score and a breast-maturing stage temperature resource score according to the corresponding average temperatures, and comprehensively evaluating to obtain a rice fertility stage temperature resource score; calculating average rainfall in the growth period of the past 10 annual history of the local area, and evaluating to obtain rainfall resource scores of the growth period of the rice; calculating average daily illumination hours in the local past 10 calendar history growing period, and evaluating to obtain a rice growing period daily illumination resource score; comprehensively evaluating the temperature resource score of the rice in the growing period, the rainfall resource score of the rice in the growing period and the illumination resource score of the rice in the growing period to obtain the climate resource score of the rice in the current year;
b2, calculating the average air temperature of the transplanting period-the mature period, the average air temperature of more than 3 continuous days of the heading and flowering period, and the accumulated temperature value of more than or equal to 10 ℃ in 8 months 1 day to 9 months 1 day, and comprehensively evaluating to obtain the low-temperature cold injury influence score of the rice in the current year;
b3, comprehensively evaluating the current year rice growth climate resource score and the current year rice low-temperature cold injury influence score to obtain the current year rice growth climate condition score;
step three, comprehensively evaluating the rice climate quality certification final score according to the rice planting climate suitability division score and the rice current year growth climate condition score obtained in the step two;
and step four, grading the rice climate quality of the yellow-lead irrigation area according to the final score of the rice climate quality authentication obtained in the step three.
Further, the invention provides a method for authenticating the quality of paddy rice climate in a yellow-lead irrigation area, which can also have the following characteristics: in the second step a, the calculation method of the rice planting climate suitability division score is as follows: g=0.3g 1 +0.3G 2 +0.4G 3 The method comprises the steps of carrying out a first treatment on the surface of the Wherein G represents a division score of suitability for rice planting 1 A grade score corresponding to the rice climate suitable region and representing the average minimum temperature of July, G 2 A grade score corresponding to the rice climate suitable region and representing the average air temperature of August G 3 Indicating the grade score of the rice climate suitable region corresponding to the accumulated temperature of more than or equal to 10 ℃ in the rice growth period; g 1 、G 2 And G 3 The scores of (2) are as follows:
july average minimum air temperature (DEG C) Average August air temperature (DEG C) The accumulated temperature (DEG C) of the rice in the growth period is more than or equal to 10 DEG C
Optimum region (100 minutes) ≥12 ≥20 ≥3200
Suitable area (85 min) 11-12 19-20 3000-3200
Sub-optimum region (70 minutes) 9-11 18-19 2800-3000
Unsuitable region (50 minutes) ≤9 ≤18 ≤2800
The two-level boundary value in the table belongs to a high level.
Further, the invention provides a method for authenticating the quality of paddy rice climate in a yellow-lead irrigation area, which can also have the following characteristics: in the step b1, the calculation method of the rice growth period temperature resource score is as follows: x is X 1 =0.1Y 1 +0.1Y 2 +0.1Y 3 +0.15Y 4 +0.1Y 5 +0.15Y 6 +0.3Y 7 The method comprises the steps of carrying out a first treatment on the surface of the Wherein X is 1 Represents the temperature resource score of rice in the growing period, Y 1 Represents the temperature resource score of seeding-emergence period, Y 2 Indicating the three-leaf period temperature resource score, Y 3 Indicating the temperature resource score of transplanting-returning stage, Y 4 Represents the temperature resource score at the tillering stage, Y 5 Represents the temperature resource score of the jointing period-booting period, Y 6 Indicating the heading stage temperature resource score, Y 7 Representing a milk maturation-maturation period temperature resource score;Y 1 、Y 2 、Y 3 、Y 4 、Y 5 、Y 6 and Y 7 The scores of (2) are as follows:
extra-good (100 min) You (85 min) Good (70 minutes) Disqualification (50 minutes)
Seeding-emergence period (Y) 1 ) 12-18℃ 18-24 ℃ or 12-10 DEG C 24-32deg.C or 10-8deg.C 32 ℃ or less than or equal to 8 DEG C
Three leaf period (Y) 2 ) 16-20℃ 20-24 ℃ or 12-16 DEG C 24-32deg.C or 6-12deg.C At 32 ℃ or less than or equal to 6 DEG C
Transplanting-returning period (Y) 3 ) 19-22℃ 22-25 ℃ or 16-19 DEG C 25-32deg.C or 10-16deg.C At 32 ℃ or less than or equal to 10 DEG C
Tillering stage (Y) 4 ) 20-25℃ 25-28deg.C or 17-20deg.C 28-32deg.C or 14-17deg.C At 32 ℃ or less than or equal to 14 DEG C
Jointing-booting stage (Y) 5 ) 23-27℃ 27-30deg.C or 20-23deg.C 30-33 ℃ or 17-20 DEG C At a temperature of 33 ℃ or less than or equal to 17 DEG C
Heading stage (Y) 6 ) 25-30℃ 30-33 ℃ or 22-25 DEG C 33-35 ℃ or 20-22 DEG C 35 ℃ or less than or equal to 20 DEG C
Maturity stage of milk (Y) 7 ) 23-26℃ 26-29 ℃ or 18-23 DEG C 29-33 ℃ or 13-18 DEG C At a temperature of 33 ℃ or less than or equal to 13 DEG C
The two-level boundary value in the table belongs to a high level.
Further, the invention provides a method for authenticating the quality of paddy rice climate in a yellow-lead irrigation area, which can also have the following characteristics: in the step b1, rainfall resources in the rice growth period are scored as follows:
Figure BDA0002602750850000041
in the table, X 2 And (3) representing rainfall resource scores in the rice growth period, wherein R represents average rainfall in the growth period of the past 10 annual history in the local area, and the boundary value of the two grades belongs to a high grade.
Further, the invention provides a method for authenticating the quality of paddy rice climate in a yellow-lead irrigation area, which can also have the following characteristics: in the step b1, the illumination resource scores of the rice in the growing period are as follows:
Figure BDA0002602750850000042
in the table, X 3 And the score of the illumination resource of the rice in the growth period is represented, S represents the average number of the illumination hours of the day in the growth period of the past 10 calendar history locally, and the boundary value of the two grades belongs to a high grade.
Further, the invention provides a method for authenticating the quality of paddy rice climate in a yellow-lead irrigation area, which can also have the following characteristics: in the step b1, the calculation method of the climate resource score of the rice growth in the current year is as follows:
α=0.7X 1 +0.1X 2 +0.2X 3
wherein alpha represents the score of the climate resources of the rice growth in the current year, X 1 Represents the temperature resource score, X in the rice growth period 2 Represents rainfall resource scoring in rice growth period, X 3 And (5) indicating the illumination resource score of the rice in the growing period.
Further, the invention provides a method for authenticating the quality of paddy rice climate in a yellow-lead irrigation area, which can also have the following characteristics: in the step b2, the low-temperature cold injury influence score of the rice in the current year is as follows:
Figure BDA0002602750850000043
Figure BDA0002602750850000051
in the table, beta represents the low-temperature cold injury influence score of the rice in the current year, and three indexes are respectively: the first index is that the average air temperature in the transplanting period-the mature period is less than 18 ℃, the second index is that the average air temperature is more than three continuous days in the heading and flowering period is less than 20 ℃, and the third index is that the accumulated temperature value of 8 months, 1 day to 9 months, 1 day is more than or equal to 10 ℃ and less than 840 ℃.
Further, the invention provides a method for authenticating the quality of paddy rice climate in a yellow-lead irrigation area, which can also have the following characteristics: in the second step b3, the calculation method of the climate condition score of the current year growth of the rice is as follows: n=α - β; wherein N represents the current year growth climate condition score of the rice, alpha represents the current year growth climate resource score of the rice, and beta represents the low-temperature cold injury influence score of the current year rice.
Further, the invention provides a method for authenticating the quality of paddy rice climate in a yellow-lead irrigation area, which can also have the following characteristics: in the third step, the final score of the rice climate quality authentication is calculated as follows: f=0.3g+0.7n; wherein F represents the final score of the rice climate quality certification, G represents the score of the rice planting climate suitability division, and N represents the score of the climate condition of the rice growing in the current year.
Further, the invention provides a method for authenticating the quality of paddy rice climate in a yellow-lead irrigation area, which can also have the following characteristics: in the fourth step, the rating is as follows: the final score of the rice climate quality certification is more than or equal to 90 and is a special grade; the final score of the rice climate quality certification is more than or equal to 80 and less than 90 as the priority; the final score of the rice climate quality certification is less than 80 and is more than or equal to 70 to be in good grade; the final score of the rice climate quality certification is less than 70 and is of a general grade.
The invention has the beneficial effects that:
according to the method, the suitability gradient grade of the rice quality weather conditions is built based on historical weather data, the quantitative authentication model of the rice weather quality is built by combining the weather factors of rice in each growth period, quantitative evaluation of the rice weather quality is realized, and the authentication work can be completed without the participation of an expert in the authentication process of the rice weather quality.
The method is convenient to calculate, only the meteorological data of the automatic station for the meteorological observation of the authentication area is required to be obtained, and the calculation process is easy to realize. The research result can improve the work efficiency of the weather service personnel for authenticating the climate quality of agricultural products, and promote the work of authenticating the climate quality of the agricultural products to be highly efficient and automatic.
Detailed Description
The invention is further illustrated below with reference to specific examples.
The invention provides a quality authentication method for rice climate in a yellow lead irrigation area, which is used for authenticating the quality of the rice climate in the yellow lead irrigation area of Ningxia Hui autonomous region Wu Zhongshi, and comprises the following steps:
step one, collecting meteorological data of rice in each growth period and rainfall insolation data of the past year.
Specifically, the data required in the yellow-leading irrigation area paddy rice climate quality authentication and evaluation system are calculated and summarized by utilizing the observation data of the meteorological observation automatic station in the full-growth period of the paddy rice in the Ningxia Hui autonomous region Wu Zhongshi in 2010-2019.
Calculating a scoring index according to the data collected in the first step, and then performing evaluation scoring, wherein the method specifically comprises the following steps:
a. calculating the average minimum temperature in July, the average temperature in July and the accumulated temperature of more than or equal to 10 ℃ in the rice growth period, and then correspondingly evaluating to obtain the grade score of the appropriate rice climate zone corresponding to the average minimum temperature in July, the grade score of the appropriate rice climate zone corresponding to the average temperature in July and the grade score of the appropriate rice climate zone corresponding to the accumulated temperature of more than or equal to 10 ℃ in the rice growth period, and then comprehensively evaluating to obtain the score of the appropriate rice planting climate zone.
The calculation method of the rice planting climate suitability zone score is as follows:
G=0.3G 1 +0.3G 2 +0.4G 3
wherein G represents a division score of suitability for rice planting 1 A grade score corresponding to the rice climate suitable region and representing the average minimum temperature of July, G 2 Mean air temperature of AugustGrade score corresponding to proper rice climate zone, G 3 The score of the rice climate suitable division grade corresponding to the accumulated temperature of more than or equal to 10 ℃ in the rice growth period is shown.
G 1 、G 2 And G 3 The scores of (2) are as follows:
july average minimum air temperature (DEG C) Average August air temperature (DEG C) The accumulated temperature (DEG C) of the rice in the growth period is more than or equal to 10 DEG C
Optimum region (100 minutes) ≥12 ≥20 ≥3200
Suitable area (85 min) 11-12 19-20 3000-3200
Sub-optimum region (70 minutes) 9-11 18-19 2800-3000
Unsuitable region (50 minutes) ≤9 ≤18 ≤2800
The two-level boundary value in the table belongs to a high level.
Specifically, the climatic suitability parameters of the Ningxia Hui autonomous region Wu Zhongshi in 2019 are specifically: the average minimum temperature of July is 18.1 ℃, belongs to the most suitable region scoring range, and has a single score of 100; the average temperature of August is 23.1 ℃, belongs to the grading range of the most suitable area, and has a single score of 100; the accumulated temperature of the rice in the growing period (04-20-09-18) is 3241.6 ℃ which is more than or equal to 10 ℃, belongs to the scoring range of the most suitable area, and has a single score of 100. In summary, the climate suitability division G for rice planting in 2019 Wu Zhongshi was 100.
b1, calculating average temperatures of a rice sowing-seedling emergence stage, a trefoil stage, a transplanting-turning green stage, a tillering stage, a jointing stage-booting stage, a heading stage and a breast-maturing stage, obtaining a sowing-seedling emergence stage temperature resource score, a trefoil stage temperature resource score, a transplanting-turning green stage temperature resource score, a tillering stage temperature resource score, a jointing stage-booting stage temperature resource score, a heading stage temperature resource score and a breast-maturing stage temperature resource score according to the corresponding average temperatures, and comprehensively evaluating to obtain a rice fertility stage temperature resource score.
The calculation method of the rice growth period temperature resource score is as follows:
X 1 =0.1Y 1 +0.1Y 2 +0.1Y 3 +0.15Y 4 +0.1Y 5 +0.15Y 6 +0.3Y 7
wherein X is 1 Represents the temperature resource score of rice in the growing period, Y 1 Represents the temperature resource score of seeding-emergence period, Y 2 Indicating the three-leaf period temperature resource score, Y 3 Indicating the temperature resource score of transplanting-returning stage, Y 4 Represents the temperature resource score at the tillering stage, Y 5 Represents the temperature resource score of the jointing period-booting period, Y 6 Indicating the heading stage temperature resource score, Y 7 Represents the milk maturation-maturation period temperature resource score.
Y 1 、Y 2 、Y 3 、Y 4 、Y 5 、Y 6 And Y 7 The scores of (2) are as follows:
extra-good (100 min) You (85 min) Good (70 minutes) Disqualification (50 minutes)
Seeding-emergence period (Y) 1 ) 12-18℃ 18-24 ℃ or 12-10 DEG C 24-32deg.C or 10-8deg.C 32 ℃ or less than or equal to 8 DEG C
Three leaf period (Y) 2 ) 16-20℃ 20-24 ℃ or 12-16 DEG C 24-32deg.C or 6-12deg.C At 32 ℃ or less than or equal to 6 DEG C
Transplanting-returning period (Y) 3 ) 19-22℃ 22-25 ℃ or 16-19 DEG C 25-32deg.C or 10-16deg.C At 32 ℃ or≤10℃
Tillering stage (Y) 4 ) 20-25℃ 25-28deg.C or 17-20deg.C 28-32deg.C or 14-17deg.C At 32 ℃ or less than or equal to 14 DEG C
Jointing-booting stage (Y) 5 ) 23-27℃ 27-30deg.C or 20-23deg.C 30-33 ℃ or 17-20 DEG C At a temperature of 33 ℃ or less than or equal to 17 DEG C
Heading stage (Y) 6 ) 25-30℃ 30-33 ℃ or 22-25 DEG C 33-35 ℃ or 20-22 DEG C 35 ℃ or less than or equal to 20 DEG C
Maturity stage of milk (Y) 7 ) 23-26℃ 26-29 ℃ or 18-23 DEG C 29-33 ℃ or 13-18 DEG C At a temperature of 33 ℃ or less than or equal to 13 DEG C
The two-level boundary value in the table belongs to a high level.
Specifically, the scores of the temperature resources of the rice in each growth period in 2019 Wu Zhongshi are as follows:
period of fertility Date of day Average temperature (. Degree. C.) Rating scale of grade Score of
Seeding-emergence period (Y) 1 ) 04-20—04-26 19.8 Excellent (excellent) 85
Three leaf period (Y) 2 ) 05-02—05-20 16.4 Extra-excellent 100
Transplanting-returning period (Y) 3 ) 05-20—06-08 21.1 Extra-excellent 100
Tillering stage (Y) 4 ) 06-12—07-06 22.6 Extra-excellent 100
Jointing-booting stage (Y) 5 ) 07-06—07-24 22.7 Excellent (excellent) 85
Heading stage (Y) 6 ) 07-30—08-03 24.9 Excellent (excellent) 85
Maturity stage of milk (Y) 7 ) 09-04—09-18 19.8 Excellent (excellent) 85
Calculating the temperature resource score X of Wu Zhongshi rice in the growing period 1 90.25.
Meanwhile, the average rainfall in the growth period of the past 10 year calendar in the local area is calculated, and then the rainfall resource score in the growth period of the rice is obtained through evaluation. And calculating the average daily illumination time number in the local past 10-year history fertility period, and evaluating to obtain the rice fertility period daily illumination resource score.
The rainfall resource score in the rice growth period and the illumination resource score in the rice growth period are as follows:
Figure BDA0002602750850000081
in the table, X 2 Represents rainfall resource scores in rice growth period, R represents average rainfall in the growth period of the past 10 year history of local area, and X 3 Representation ofAnd (3) scoring the illumination resource of the rice in the growth period, wherein S represents the average number of sunlight hours in the growth period of the past 10 year history locally, and the two-grade boundary value belongs to a high grade.
Specifically, the rainfall capacity of the rice in the growth period of Wu Zhongshi in 2019 is 171.1mm, the sunlight time length is 1116.3h, the average rainfall capacity R and the sunlight time number S in the rice in the growth period of 2010-2018 are 163.2mm, 1480.1h and the rainfall capacity of the rice in the growth period of Wu Zhongshi in 2019 is 171.1mm respectively, which belong to a good grade grading range, so that the rainfall resource grading X in the growth period of the rice is that 2 70; the illumination time of Wu Zhong city days in 2019 is 1116.3h, and the illumination time belongs to a low-grade grading range, so that the illumination resource grading X of rice in the growing period is realized 3 50.
Then, comprehensively evaluating the temperature resource score of the rice in the growing period, the rainfall resource score of the rice in the growing period and the illumination resource score of the rice in the growing period to obtain the climate resource score of the rice in the current year, wherein the calculation method comprises the following steps:
α=0.7X 1 +0.1X 2 +0.2X 3
where α represents the current year's rice growth climate resource score.
Specifically, rice growth period temperature resource score X 1 Rainfall resource score X of rice growth period of 90.25 2 Score of 70, rice fertility period day illumination resource score X 3 The score is 50, so that the score alpha of the rice growth climate resource in 2019 and Wu Zhongshi is 80.18.
And b2, calculating the average air temperature of the transplanting period-the mature period, the average air temperature of more than 3 continuous days of the heading and flowering period, and the accumulated temperature value of more than or equal to 10 ℃ in 8 months, 1 day to 9 months and 1 day, and comprehensively evaluating to obtain the low-temperature cold injury influence score of the rice in the current year.
The low-temperature cold injury effect of the rice in the current year is scored as follows:
Figure BDA0002602750850000091
in the table, beta represents the low-temperature cold injury influence score of the rice in the current year, and three indexes are respectively: the first index is that the average air temperature in the transplanting period-the mature period is less than 18 ℃, the second index is that the average air temperature is more than three continuous days in the heading and flowering period is less than 20 ℃, and the third index is that the accumulated temperature value of 8 months, 1 day to 9 months, 1 day is more than or equal to 10 ℃ and less than 840 ℃.
Specifically, by analyzing and summarizing the minimum daily temperature, the average temperature and the accumulated temperature in 2019, the influence of the low-temperature cold damage of the rice is obtained as follows: the average temperature of the transplanting period-the maturing period is 21.9 ℃, and the index I of low-temperature cold damage is not reached; the maximum continuous days of the average air temperature of the heading and flowering period day is less than 20 ℃ and is 2 days, and the index II of low-temperature freezing injury is not reached; the accumulated temperature value of the temperature is 714.6 ℃ which is more than or equal to 10 ℃ in 8 months 1-9 months 1 days, and the low-temperature freezing injury index III is reached; the lowest temperature of the booting stage is less than or equal to 15 ℃ and the continuous day number is 0 days, and the low-temperature freezing injury index is not reached. The low-temperature cold injury grade in 2019 can be obtained in a comprehensive way and is light, namely the low-temperature cold injury influence score beta of the rice is 5.
b3, comprehensively evaluating the current year rice growth climate resource score and the current year rice low-temperature cold injury influence score to obtain the current year rice growth climate condition score, wherein the calculation method is as follows:
N=α-β。
wherein N represents the climate condition score of the current year of rice growth.
Specifically, the score of the climate resource of the rice growth is 80.18, the score of the low-temperature cold injury effect of the rice is 5, and the climate condition score of the rice growth in the current year is 75.18.
And thirdly, obtaining a final score of the rice climate quality authentication by comprehensively evaluating according to the compartment score of the rice planting climate suitability and the climate condition score of the rice growing in the current year, wherein the calculation method comprises the following steps:
F=0.3G+0.7N。
wherein F represents the final score of the rice climate quality certification.
Specifically, the climate suitability division G of rice planting is 100, the climate condition score N of the current year of rice growth is 75.18, and the final score F of the climate quality authentication of Wu Zhongshi rice in 2019 is 82.6.
And step four, grading the rice climate quality of the yellow-lead irrigation area according to the final score of the rice climate quality authentication obtained in the step three. The ratings were as follows:
the final score of the rice climate quality certification is more than or equal to 90 and is a special grade;
the final score of the rice climate quality certification is more than or equal to 80 and less than 90 as the priority;
the final score of the rice climate quality certification is less than 80 and is more than or equal to 70 to be in good grade;
the final score of the rice climate quality certification is less than 70 and is of a general grade.
Specifically, the final score F of 2019 Wu Zhongshi paddy rice climate quality certification is 82.6, and the paddy rice climate quality grade in the city can be obtained to be high.
Ningxia Hui municipality Wu Zhongshi weather office weather table agriculture weather related documents disclose: the rice climate suitability is 0.51-0.55, which is lower than 2018. The dry direct seeding rice and the arch shed seedling raising rice in the irrigation area are sown smoothly in the middle ten days of 4 months. The temperature is lower in 5 months, the precipitation is more, the sunlight is less, and the quality of seedlings after emergence is lower. The photo-thermal condition is relatively good in the first half month of 6 months, but the continuous low-temperature overcast and rainy low-irradiation weather appears in the middle and late ten days, the rice tillering is reduced, the growth quantity is obviously insufficient, and the growth period is delayed. In the middle of 7 months to 8 months, the air temperature is normally higher, so that the development lag caused by low-temperature overcast and rainy illumination is partially compensated, and the rice in most areas shoots before the safe spike alignment period. The temperature condition of the rice is slightly deficient all the time during the growth period, and the continuous low-temperature low-illumination weather appears in the booting critical period, so that the weather condition is totally normal. "
Therefore, the quality authentication result obtained by the method accords with the actual situation, and the accuracy of the method is shown.

Claims (10)

1. A method for authenticating the quality of paddy rice climate in a yellow-leading irrigation area is characterized by comprising the following steps:
the method comprises the following steps:
step one, collecting meteorological data of rice in each growth period and rainfall insolation data of the past year;
calculating a scoring index according to the data collected in the first step, and then performing evaluation scoring, wherein the method specifically comprises the following steps:
a. calculating the average minimum temperature in July, the average temperature in July and the accumulated temperature of more than or equal to 10 ℃ in the rice growth period, and then correspondingly evaluating to obtain the grade score of the rice climate suitable zone corresponding to the average minimum temperature in July, the grade score of the rice climate suitable zone corresponding to the average temperature in July and the grade score of the rice climate suitable zone corresponding to the accumulated temperature of more than or equal to 10 ℃ in the rice growth period, and then comprehensively evaluating to obtain the rice planting climate suitable zone score;
b1, calculating average temperatures of a rice sowing-seedling emergence stage, a trefoil stage, a transplanting-turning green stage, a tillering stage, a jointing stage-booting stage, a heading stage and a breast-maturing stage, obtaining a sowing-seedling emergence stage temperature resource score, a trefoil stage temperature resource score, a transplanting-turning green stage temperature resource score, a tillering stage temperature resource score, a jointing stage-booting stage temperature resource score, a heading stage temperature resource score and a breast-maturing stage temperature resource score according to the corresponding average temperatures, and comprehensively evaluating to obtain a rice fertility stage temperature resource score;
calculating average rainfall in the growth period of the past 10 annual history of the local area, and evaluating to obtain rainfall resource scores of the growth period of the rice;
calculating average daily illumination hours in the local past 10 calendar history growing period, and evaluating to obtain a rice growing period daily illumination resource score;
obtaining a current year rice growth climate resource score by comprehensively evaluating the rice growth period temperature resource score, the rice growth period rainfall resource score and the rice growth period day illumination resource score;
b2, calculating the average air temperature of the transplanting period-the mature period, the average air temperature of more than 3 continuous days of the heading and flowering period, and the accumulated temperature value of more than or equal to 10 ℃ in 8 months 1 day to 9 months 1 day, and comprehensively evaluating to obtain the low-temperature cold injury influence score of the rice in the current year;
b3, comprehensively evaluating the current year rice growth climate resource score and the current year rice low-temperature cold injury influence score to obtain a current year rice growth climate condition score;
step three, comprehensively evaluating the rice climate quality certification final score according to the rice planting climate suitability division score and the rice current year growth climate condition score obtained in the step two;
and step four, grading the rice climate quality of the yellow-lead irrigation area according to the final score of the rice climate quality authentication obtained in the step three.
2. The method for authenticating the quality of paddy rice climate in a yellow lead irrigation area according to claim 1, which is characterized in that:
in the second step a, the calculation method of the rice planting climate suitability division score is as follows:
G=0.3G 1 +0.3G 2 +0.4G 3
wherein G represents a division score of suitability for rice planting 1 A grade score corresponding to the rice climate suitable region and representing the average minimum temperature of July, G 2 A grade score corresponding to the rice climate suitable region and representing the average air temperature of August G 3 Indicating the grade score of the rice climate suitable region corresponding to the accumulated temperature of more than or equal to 10 ℃ in the rice growth period;
G 1 、G 2 and G 3 The scores of (2) are as follows:
july average minimum air temperature (DEG C) Average August air temperature (DEG C) The accumulated temperature (DEG C) of the rice in the growth period is more than or equal to 10 DEG C Optimum region (100 minutes) ≥12 ≥20 ≥3200 Suitable area (85 min) 11-12 19-20 3000-3200 Sub-optimum region (70 minutes) 9-11 18-19 2800-3000 Unsuitable region (50 minutes) ≤9 ≤18 ≤2800
The two-level boundary value in the table belongs to a high level.
3. The method for authenticating the quality of paddy rice climate in a yellow lead irrigation area according to claim 1, which is characterized in that:
in the step b1, the calculation method of the rice growth period temperature resource score is as follows:
X 1 =0.1Y 1 +0.1Y 2 +0.1Y 3 +0.15Y 4 +0.1Y 5 +0.15Y 6 +0.3Y 7
wherein X is 1 Represents the temperature resource score of rice in the growing period, Y 1 Represents the temperature resource score of seeding-emergence period, Y 2 Indicating the three-leaf period temperature resource score, Y 3 Indicating the temperature resource score of transplanting-returning stage, Y 4 Represents the temperature resource score at the tillering stage, Y 5 Represents the temperature resource score of the jointing period-booting period, Y 6 Indicating the heading stage temperature resource score, Y 7 Representing a milk maturation-maturation period temperature resource score;
Y 1 、Y 2 、Y 3 、Y 4 、Y 5 、Y 6 and Y 7 The scores of (2) are as follows:
extra-good (100 min) You (85 min) Good (70 minutes) Disqualification (50 minutes) Seeding-emergence period (Y) 1 ) 12-18℃ 18-24 ℃ or 12-10 DEG C 24-32deg.C or 10-8deg.C 32 ℃ or less than or equal to 8 DEG C Three leaf period (Y) 2 ) 16-20℃ 20-24 ℃ or 12-16 DEG C 24-32deg.C or 6-12deg.C At 32 ℃ or less than or equal to 6 DEG C Transplanting-returning period (Y) 3 ) 19-22℃ 22-25 ℃ or 16-19 DEG C 25-32deg.C or 10-16deg.C At 32 ℃ or less than or equal to 10 DEG C Tillering stage (Y) 4 ) 20-25℃ 25-28deg.C or 17-20deg.C 28-32deg.C or 14-17deg.C At 32 ℃ or less than or equal to 14 DEG C Jointing-booting stage (Y) 5 ) 23-27℃ 27-30deg.C or 20-23deg.C 30-33 ℃ or 17-20 DEG C At a temperature of 33 ℃ or less than or equal to 17 DEG C Heading stage (Y) 6 ) 25-30℃ 30-33 ℃ or 22-25 DEG C 33-35 ℃ or 20-22 DEG C 35 ℃ or less than or equal to 20 DEG C Maturity stage of milk (Y) 7 ) 23-26℃ 26-29 ℃ or 18-23 DEG C 29-33 ℃ or 13-18 DEG C At a temperature of 33 ℃ or less than or equal to 13 DEG C
The two-level boundary value in the table belongs to a high level.
4. The method for authenticating the quality of paddy rice climate in a yellow lead irrigation area according to claim 1, which is characterized in that:
in the step b1, the rainfall resources in the rice growth period are scored as follows:
Figure FDA0002602750840000031
in the table, X 2 And (3) representing rainfall resource scores in the rice growth period, wherein R represents average rainfall in the growth period of the past 10 annual history in the local area, and the boundary value of the two grades belongs to a high grade.
5. The method for authenticating the quality of paddy rice climate in a yellow lead irrigation area according to claim 1, which is characterized in that:
in the step b1, the rice growth period day illumination resource scores are as follows:
Figure FDA0002602750840000032
in the table, X 3 And the score of the illumination resource of the rice in the growth period is represented, S represents the average number of the illumination hours of the day in the growth period of the past 10 calendar history locally, and the boundary value of the two grades belongs to a high grade.
6. The method for authenticating the quality of paddy rice climate in a yellow lead irrigation area according to claim 1, which is characterized in that:
in the step b1, the calculation method of the current year paddy rice growth climate resource score is as follows:
α=0.7X 1 +0.1X 2 +0.2X 3
wherein alpha represents the score of the climate resources of the rice growth in the current year, X 1 Represents the temperature resource score, X in the rice growth period 2 Represents rainfall resource scoring in rice growth period, X 3 And (5) indicating the illumination resource score of the rice in the growing period.
7. The method for authenticating the quality of paddy rice climate in a yellow lead irrigation area according to claim 1, which is characterized in that:
in the step b2, the low-temperature cold injury effect score of the current year rice is as follows:
Figure FDA0002602750840000041
in the table, beta represents the low-temperature cold injury influence score of the rice in the current year, and three indexes are respectively: the first index is that the average air temperature in the transplanting period-the mature period is less than 18 ℃, the second index is that the average air temperature is more than three continuous days in the heading and flowering period is less than 20 ℃, and the third index is that the accumulated temperature value of 8 months, 1 day to 9 months, 1 day is more than or equal to 10 ℃ and less than 840 ℃.
8. The method for authenticating the quality of paddy rice climate in a yellow lead irrigation area according to claim 1, which is characterized in that:
in the second step b3, the calculation method of the climate condition score of the current year growth of the rice is as follows:
N=α-β;
wherein N represents the current year growth climate condition score of the rice, alpha represents the current year growth climate resource score of the rice, and beta represents the low-temperature cold injury influence score of the current year rice.
9. The method for authenticating the quality of paddy rice climate in a yellow lead irrigation area according to claim 1, which is characterized in that:
in the third step, the final score of the rice climate quality authentication is calculated as follows:
F=0.3G+0.7N;
wherein F represents the final score of the rice climate quality certification, G represents the score of the rice planting climate suitability division, and N represents the score of the climate condition of the rice growing in the current year.
10. The method for authenticating the quality of paddy rice climate in a yellow lead irrigation area according to claim 1, which is characterized in that:
in the fourth step, the rating is as follows:
the final score of the rice climate quality certification is more than or equal to 90 and is a special grade;
the final score of the rice climate quality certification is more than or equal to 80 and less than 90 as the priority;
the final score of the rice climate quality certification is less than 80 and is more than or equal to 70 to be in good grade;
the final score of the rice climate quality certification is less than 70 and is of a general grade.
CN202010729918.5A 2020-07-27 2020-07-27 Rice climate quality authentication method for yellow-leading irrigation area Active CN111832970B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202010729918.5A CN111832970B (en) 2020-07-27 2020-07-27 Rice climate quality authentication method for yellow-leading irrigation area

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202010729918.5A CN111832970B (en) 2020-07-27 2020-07-27 Rice climate quality authentication method for yellow-leading irrigation area

Publications (2)

Publication Number Publication Date
CN111832970A CN111832970A (en) 2020-10-27
CN111832970B true CN111832970B (en) 2023-05-05

Family

ID=72925616

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202010729918.5A Active CN111832970B (en) 2020-07-27 2020-07-27 Rice climate quality authentication method for yellow-leading irrigation area

Country Status (1)

Country Link
CN (1) CN111832970B (en)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113743832B (en) * 2021-11-05 2022-04-08 中化现代农业有限公司 Rice disaster monitoring system and method

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108182544A (en) * 2018-01-24 2018-06-19 李超 A kind of method for evaluation of quality of agricultural product
CN109272201A (en) * 2018-08-23 2019-01-25 山东省农业可持续发展研究所 A kind of suitability evaluation methods for peanut cultivation
CN109345141A (en) * 2018-11-01 2019-02-15 云南省气候中心 A kind of dragon fruit weather quality certification method
CN110222803A (en) * 2019-05-23 2019-09-10 成都信息工程大学 A kind of agricultural product weather certification network process management system and method
CN110246051A (en) * 2019-05-23 2019-09-17 成都信息工程大学 The method that crop cycle model and variety classes agricultural product establish growth cycle

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108182544A (en) * 2018-01-24 2018-06-19 李超 A kind of method for evaluation of quality of agricultural product
CN109272201A (en) * 2018-08-23 2019-01-25 山东省农业可持续发展研究所 A kind of suitability evaluation methods for peanut cultivation
CN109345141A (en) * 2018-11-01 2019-02-15 云南省气候中心 A kind of dragon fruit weather quality certification method
CN110222803A (en) * 2019-05-23 2019-09-10 成都信息工程大学 A kind of agricultural product weather certification network process management system and method
CN110246051A (en) * 2019-05-23 2019-09-17 成都信息工程大学 The method that crop cycle model and variety classes agricultural product establish growth cycle

Non-Patent Citations (4)

* Cited by examiner, † Cited by third party
Title
克日木・阿巴司 ; 孟凡雪 ; 努尔帕提曼・买买提热依木 *
吴滩"彬哥"花椒气候品质认证指标体系研究;赵洁;孙恩虹;杨宝钢;王颖;;江西农业(13);65 *
新疆喀什红枣种植气象条件分析与气候品质认证;克日木・阿巴司;孟凡雪;努尔帕提曼・买买提热依木;帕提曼・阿布都艾尼;;中国农学通报(31);47-51 *
水稻气候品质定量化认证模型构建——以宁夏吴忠市灌区水稻为例;戈晓峰 等;江苏农业科学;第48卷(第21期);110-115 *

Also Published As

Publication number Publication date
CN111832970A (en) 2020-10-27

Similar Documents

Publication Publication Date Title
CN109902879B (en) Sugarcane planting zoning method based on comprehensive suitability index
Yuan et al. Variety distribution pattern and climatic potential productivity of spring maize in Northeast China under climate change
CN111832970B (en) Rice climate quality authentication method for yellow-leading irrigation area
CN109447426B (en) Response analysis method of irrigation water demand to changing environment based on crop water demand mechanism
CN103975820B (en) The cultivation method of a kind of wine grape
CN116362399A (en) Climate change-based wheat climatic period and yield prediction method and system
CN112561315A (en) Quantitative evaluation and estimation method for meteorological disasters of flue-cured tobacco
CN116187100A (en) Method for estimating corn kernel protein content by combining crop growth model
CN111582742A (en) Method and system for evaluating quality of agricultural products based on weather
CN116451823A (en) Apple yield prediction method based on meteorological master control factors
CN115310680A (en) Tomato seedling model modeling and growth prediction method
CN108596448B (en) Method for establishing climate quality rating of camellia oleifera based on fuzzy evaluation method
CN112703980A (en) Summer corn flowering phase high-temperature heat damage early warning method
CN112987132A (en) System and method for researching peony meteorological service technology
CN111275569A (en) Method and system for determining ecological characteristics of flue-cured tobacco producing area, storage medium and terminal
WO2018103136A1 (en) Nutrient solution management technique based on length of leaf of greenhouse tomato
CN115119746B (en) Screening and identifying method of lodging-resistant rice sterile line and application of screening and identifying method in breeding
CN111837863B (en) Transplanting period-based cultivation method and system for Fujian fresh, sweet and fragrant high-quality tobacco leaves
CN104160908A (en) Method for excavating natural hybridization germplasm and breeding new varieties of kiwi fruits
CN113641941A (en) Method for accurately calculating basic seedlings in ultrahigh-yield cultivation of wheat
CN113487127A (en) Dynamic evaluation method for drought disaster loss of tea in autumn and winter
CN108920430B (en) Rice empty hull rate evaluation method
CN106472138B (en) Management method for optimizing chemical composition of K326 tobacco leaves and improving quality of flue-cured tobacco
Onache et al. Studies on the agrobiological and technological value of grape varieties for white wines grown in Stefanesti wine centre.
CN118152987B (en) Single-cropping rice weather period identification method

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant