AU2020101462A4 - Method and device for predicting and evaluating regional eco-quality annual harvest - Google Patents
Method and device for predicting and evaluating regional eco-quality annual harvest Download PDFInfo
- Publication number
- AU2020101462A4 AU2020101462A4 AU2020101462A AU2020101462A AU2020101462A4 AU 2020101462 A4 AU2020101462 A4 AU 2020101462A4 AU 2020101462 A AU2020101462 A AU 2020101462A AU 2020101462 A AU2020101462 A AU 2020101462A AU 2020101462 A4 AU2020101462 A4 AU 2020101462A4
- Authority
- AU
- Australia
- Prior art keywords
- region
- evaluated
- con
- pro
- eco
- 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.)
- Ceased
Links
- 238000003306 harvesting Methods 0.000 title claims abstract description 91
- 238000000034 method Methods 0.000 title claims abstract description 30
- 238000004519 manufacturing process Methods 0.000 claims abstract description 74
- 238000004364 calculation method Methods 0.000 claims description 7
- 238000011156 evaluation Methods 0.000 abstract description 19
- 238000003860 storage Methods 0.000 description 4
- CURLTUGMZLYLDI-UHFFFAOYSA-N Carbon dioxide Chemical compound O=C=O CURLTUGMZLYLDI-UHFFFAOYSA-N 0.000 description 2
- 238000004458 analytical method Methods 0.000 description 2
- 238000004590 computer program Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 230000003287 optical effect Effects 0.000 description 2
- 238000012216 screening Methods 0.000 description 2
- 101150011046 NPP1 gene Proteins 0.000 description 1
- 101100080092 Phytophthora capsici NLP1 gene Proteins 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 229910002092 carbon dioxide Inorganic materials 0.000 description 1
- 239000001569 carbon dioxide Substances 0.000 description 1
- 238000007621 cluster analysis Methods 0.000 description 1
- 235000015097 nutrients Nutrition 0.000 description 1
- 238000000513 principal component analysis Methods 0.000 description 1
- 239000002689 soil Substances 0.000 description 1
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION 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
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/02—Agriculture; Fishing; Forestry; Mining
-
- A—HUMAN NECESSITIES
- A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
- A01G—HORTICULTURE; CULTIVATION OF VEGETABLES, FLOWERS, RICE, FRUIT, VINES, HOPS OR SEAWEED; FORESTRY; WATERING
- A01G22/00—Cultivation of specific crops or plants not otherwise provided for
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION 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
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/067—Enterprise or organisation modelling
Landscapes
- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Strategic Management (AREA)
- Human Resources & Organizations (AREA)
- Life Sciences & Earth Sciences (AREA)
- Economics (AREA)
- Entrepreneurship & Innovation (AREA)
- Tourism & Hospitality (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- Marketing (AREA)
- Physics & Mathematics (AREA)
- Primary Health Care (AREA)
- Educational Administration (AREA)
- Health & Medical Sciences (AREA)
- Marine Sciences & Fisheries (AREA)
- General Health & Medical Sciences (AREA)
- Mining & Mineral Resources (AREA)
- Development Economics (AREA)
- Animal Husbandry (AREA)
- Agronomy & Crop Science (AREA)
- Game Theory and Decision Science (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Botany (AREA)
- Environmental Sciences (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
of Description
The present invention discloses a method and device for predicting and evaluating
regional eco-quality annual harvest, including: obtain the climate production potential of a
region to be evaluated; calculate the pro and con yields of the region to be evaluated according
to the climate production potential of the region to be evaluated; determine a regional
eco-environmental quality grade corresponding to the pro and con yields of the region to be
evaluated according to the preset correspondence relationship between the pro and con yields
and the regional eco-environmental quality grade, output pro and con eco-quality annual
harvests corresponding to the regional eco-environment quality grade according to the preset
correspondence relationship between the regional eco-environment quality grade and the pro
and con eco-quality annual harvests. From the perspective of meteorology, the present
invention makes full use of the characteristics of easy availability, good consistency and
predictability of meteorological or climate data, to carry out the prediction and evaluation of
the regional eco-quality annual harvest. Further, the present invention has the advantages of
simple operation, easy promotion and application, and high indication significance.
Drawings of the Description
Obtain the climate production potential of a region to be evaluated 3101
Calculate the pro and con yields K of the region to be evaluated according to the
climate production potential of the region to be evaluated, wherein the pro and con
yields K of the region to be evaluated refers to the increase and decrease S102
percentages of the climate production potential of the region to be evaluated
relative to standard climate average status production potential
Determine the regional eco-environment quality grade corresponding to the pro
and con yields K of the region to be evaluated according to the preset
correspondence relationship between the pro and con yields K and the regional S103
eco-environment quality grade
Output the pro and con eco-quality annual harvests corresponding to the regional
eco-environmental quality grade according to the preset correspondence S104
relationship between the regional eco-environment quality grade and the pro and
con eco-quality annual harvests
FIG. 1
Description
Drawings of the Description
Obtain the climate production potential of a region to be evaluated 3101
Calculate the pro and con yields K of the region to be evaluated according to the climate production potential of the region to be evaluated, wherein the pro and con yields K of the region to be evaluated refers to the increase and decrease S102 percentages of the climate production potential of the region to be evaluated relative to standard climate average status production potential
Determine the regional eco-environment quality grade corresponding to the pro and con yields K of the region to be evaluated according to the preset correspondence relationship between the pro and con yields K and the regional S103 eco-environment quality grade
Output the pro and con eco-quality annual harvests corresponding to the regional eco-environmental quality grade according to the preset correspondence S104 relationship between the regional eco-environment quality grade and the pro and con eco-quality annual harvests
FIG. 1
Description
TECHNICAL FIELD The present invention relates to eco-environment technology, in particular to a method and device for predicting and evaluating regional eco-quality annual harvest.
TECHNICAL BACKGROUND The effective prediction of regional eco-quality annual harvest is the premise and guarantee for the rational development and utilization of regional ecological resources. The prediction and evaluation of the regional eco-quality annual harvest depends on the evaluation of a regional eco-quality status. At present, the evaluation of the regional eco-quality status can be divided into a comprehensive evaluation method and an indicative factor evaluation method.
The comprehensive evaluation method is mainly based on principal component analysis, cluster analysis, distance discrimination, fuzzy mathematical evaluation, gray system evaluation, matter-element analysis, hierarchy analysis and other methods, and evaluates the regional eco-quality status by screening a reasonable comprehensive evaluation index system. However, the evaluation is mainly the history and current status of regional eco-quality, because of the larger number of evaluation indicators selected by such methods, and the more difficult prediction of realizing the dynamic annual harvest.
For simplicity and ease of operation, a single indicative factor is often used to indicate the regional eco-quality status. For example, the change of the net primary productivity of vegetation is often used to indicate the regional eco-quality status. Due to the difficulty of measuring vegetation productivity in a large region, it is more estimated based on remote sensing or meteorological factors. The main problem in the use of remote sensing data to estimate regional vegetation productivity to perform related evaluation is that an evaluation method in the prior art requires vegetation index to participate in calculation. Therefore, it is practically difficult to evaluate vegetation productivity in historical time series and realize the annual prediction of vegetation productivity.
INVENTION SUMMARY The present invention provides a method and a device for predicting and evaluating regional eco-quality annual harvest, to solve the problems that it is more difficult to obtain the data of the prediction and evaluation method in the prior art of the regional eco-quality annual harvest and it is not convenient to realize the prediction of the regional eco-quality annual harvest.
In a first aspect, the present invention provides a method for predicting and evaluating regional eco-quality annual harvest, comprising:
obtain the climate production potential of a region to be evaluated;
calculate the pro and con yields K of the region to be evaluated according to the climate production potential of the region to be evaluated, wherein the pro and con yields K of the region to be evaluated refers to the increase and decrease percentages of the climate production potential of the region to be evaluated relative to standard climate average production potential; determine regional eco-environment quality grade corresponding to the pro and con yields K of the region to be evaluated according to the preset correspondence relationship between the pro and con yields K and the regional eco-environment quality grade; output pro and con eco-quality annual harvests corresponding to the regional eco-environmental quality grade according to the preset correspondence relationship between the regional eco-environment quality grade and the pro and con eco-quality annual harvests. In combination with the first aspect and in a first implementation of the first aspect, the climate production potential of the region to be evaluated is calculated according to Thornthwaite-Memorial model. In combination with the first aspect and in a second implementation of the first aspect, in the step of calculating the pro and con yields K of the region to be evaluated according to the climate production potential of the region to be evaluated, the pro and con yields of the region to be evaluated are calculated according to NPPI - NPPOI ,K. ° x 100% NPPoi where K is the pro and con yields of the region to be evaluated in the i-th year, NPP1 is the climate production potential of the region to be evaluated in the i-th year, -Oi is the standard climate average status production potential of the region to be evaluated in the i-th year, the standard climate average status production potential is the average value of 30 climate production potential samples of the region to be evaluated in the past 30 years in the history. In combination with the first aspect and in a third implementation of the first aspect, according to the preset correspondence relationship between the pro and con yields K and the regional eco-environmental quality grade, it is determined that the regional eco-environment quality grade corresponding to the pro and con yields K of the region to be evaluated comprises: if K>10, output that the regional eco-environment quality grade of the region to be evaluated is in a pro year; if 5<K<10, output that the regional eco-environment quality grade of the region to be evaluated is in a slight pro year; if 0<KS5, output that the regional eco-environment quality grade of the region to be evaluated is steady and slight pro; if -5<K<, output that the regional eco-environment quality grade of the region to be evaluated is steady and slight con; if -10<K<-5, output the regional eco-environment quality grade of the region to be evaluated is in a slight con year; if K<-10, output that the regional eco-environment quality grade of the region to be evaluated is in a con year.
In combination with the third implementation of the first aspect and in a fourth implementation of the first aspect, according to the preset correspondence relationship between the regional eco-environment quality grade and the pro and con eco-quality annual harvest, it is output that the pro and con eco-quality annual harvests corresponding to the regional eco-environment quality grade comprise:
if the regional eco-environment quality grade of the region to be evaluated is in the pro year, output that the pro and con eco-quality annual harvests of the region to be evaluated are pro;
if the regional eco-environment quality grade of the region to be evaluated is in the pro year, output that the pro and con eco-quality annual harvests of the region to be evaluated are the slight pro;
if the regional eco-environment quality grade of the region to be evaluated is the steady and slight pro year, output that the eco-environment quality annual harvests of the region to be evaluated are steady and slight pro;
if the regional eco-environment quality grade of the region to be evaluated is the steady and slight con, output that the pro and con eco-quality annual harvests of the region to be evaluated are steady and slight con;
if the regional eco-environment quality grade of the region to be evaluated is the slight con year, output that the pro and con eco-quality annual harvests of the region to be evaluated are slight con;
if the regional eco-environment quality grade of the region to be evaluated is the con year, output that the pro and con eco-quality annual harvests of the region to be evaluated are con.
In a second aspect, the present invention provides a device for predicting and evaluating regional eco-quality annual harvest, comprising:
an acquisition unit, configured to acquire the climate production potential of a region to be evaluated;
a calculation unit, configured to calculate the pro and con yields K of the region to be evaluated according to the climate production potential of the region to be evaluated, wherein the pro and con yields K of the region to be evaluated refer to the increase and decrease percentages of the climate production potential of the region to be evaluated relative to standard climate average status production potential; a determining unit, configured to output the regional eco-environment quality grade corresponding to the pro and con yields K of the region to be evaluated according to the preset correspondence relationship between the pro and con yields K and the regional eco-environment quality grade; an output unit, configured to output pro and con eco-quality annual harvests corresponding to the regional eco-environmental quality grade according to the preset correspondence relationship between the regional eco-environmental quality grade and the pro and con eco-quality annual harvests. In combination with the second aspect and in a first implementation of the second aspect, the climate production potential of the region to be evaluated is calculated according to Thornthwaite-Memorial model. In combination with the second aspect and in a second implementation of the second aspect, the calculation unit is configured to:
NPP - NPP ,K. = i °i x 100% calculate the yield of the region to be evaluated according to NPPI
where Ki is the pro and con yields of the region to be evaluated in the i-th year, NPPlis the climate production potential of the region to be evaluated in the i-th year, NPNIis the standard climate average status production potential of the region to be evaluated in the i-th year, the standard climate average status production potential is the average value of 30 climate production potential samples of the region to be evaluated in the past 30 years in the history. In combination with the second aspect and in a third implementation of the second aspect, the determining unit is configured to:
output that the regional eco-environment quality grade of the region to be evaluated is in the pro year if K>10,
output that the regional eco-environment quality grade of the region to be evaluated is in the slight pro year if 5<K<--Z10;
output that the regional eco-environment quality grade of the region to be evaluated is steady and slight pro if 0<K<5;
output that the regional eco-environment quality grade of the region to be evaluated is steady and slight con if -5< K<0; output the regional eco-environment quality grade of the region to be evaluated is in slight con year if -10 <K<-5; output that the regional eco-environment quality grade of the region to be evaluated is in the con year if K<-10.
In combination with the third implementation of the second aspect and in a fourth implementation of the second aspect, the output unit is configured to:
output that the pro and con eco-quality annual harvests of the region to be evaluated are pro if the regional eco-environment quality grade of the region to be evaluated is in the pro year;
output that the pro and con eco-quality annual harvests of the region to be evaluated are slight pro if the regional eco-environment quality grade of the region to be evaluated is in the slight pro year.
output that the pro and con eco-environment quality annual harvests of the region to be evaluated is steady and slight pro if the regional eco-environment quality grade of the region to be evaluated is in the steady and slight pro year;
output that the pro and con eco-quality annual harvests of the region to be evaluated are steady and slight con if the regional eco-environment quality grade of the region to be evaluated is in the steady and slight con year;
output that the pro and con eco-quality annual harvests of the region to be evaluated are slight con if the regional eco-environment quality grade of the region to be evaluated is in the slight con year;
output that the pro and con eco-quality annual harvests of the region to be evaluated are con if the regional eco-environment quality grade of the region to be evaluated is in the con year.
The beneficial effects of the present invention are as follows:
The present invention provides a method and device for predicting and evaluating the regional eco-quality annual harvest. From the perspective of meteorology, the method makes full use of the characteristics of easy availability, good consistency and predictability of meteorological or climate data, to carry out the prediction and evaluation of the regional eco-quality annual harvest. Further, the present invention has the advantages of simple operation, easy promotion and application, and high indication significance.
BRIEF DESCRIPTION OF THE DRAWINGS In order to explain the technical solution of the present invention more clearly, the drawings needed to be used in embodiments will be briefly introduced below. Obviously, the person skilled in the art can obtain other drawings from these drawings without paying creative labor.
FIG. 1 is a flowchart of a method for predicting and evaluating a method for predicting and evaluating regional eco-quality annual harvest provided by an embodiment of the present invention.
FIG. 2 is a flowchart of outputting pro and con eco-quality annual harvests by using a method for predicting and evaluating regional eco-quality annual harvest provided by an embodiment of the present invention.
FIG. 3 is a graph of the prediction and evaluation results of eco-quality annual harvest in 2015 in Liaoning Province obtained by a method for predicting and evaluating regional eco-quality annual harvest provided by an embodiment of the present invention.
FIG. 4 is a diagram of a device for predicting and evaluating regional eco-quality annual harvest provided by an embodiment of the present invention.
DETAILED DESCRIPTION OF THE PRESENTLY PREFERRED EMBODIMENTS To make the objectives, technical solutions, and advantages of the present invention clearer, the technical solutions of the present invention will be described clearly and completely in conjunction with specific embodiments of the present invention and corresponding drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, but not all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by the person skilled in the art without making creative efforts fall within the protection scope of the present invention. The technical solutions provided by the embodiments of the present invention will be described in details below with reference to the drawings.
Please refer to FIG. 1, which is a method for predicting and evaluating regional eco-quality annual harvest provided by an embodiment of the present invention. The method can be mainly executed by a processor, and the method can specifically comprise:
Step S101: obtain the climate production potential of a region to be evaluated.
Specifically, the climate production potential refers to the highest possible biological yield per unit area of land under the full and rational use of local light, heat, water and other climate resources while the other conditions (such as soil, nutrients, carbon dioxide, etc.) are in the most suitable conditions. The climate production potential can be calculated by screening a suitable model of the climate production potential. In this embodiment, the climate production potential of the region to be evaluated is calculated according to Thornthwaite-Memorial (Sanswit) model. For a regional scale, the changes in the ecological status thereof in a short term are mainly controlled by the most active meteorological factor. Therefore, it is a promising technical method to use meteorology or climate and the prediction information thereof to effectively predict and evaluate the regional eco-quality annual harvest.
Step S102: calculate the pro and con yields K of the region to be evaluated according to the climate production potential of the region to be evaluated, wherein the pro and con yields K of the region to be evaluated refers to the increase and decrease percentages of the climate production potential of the region to be evaluated relative to standard climate average status production potential.
In this embodiment, the pro and con yields K refer to the increase and decrease percentages of the climate production potential relative to the standard climate average status production potential. the positive value thereof is pro yield while the negative value thereof is con yield. When the standard climate average status production potential is selected, the average value of 30 samples in the last 30 years in history is used as a reference point for the annual value of the corresponding climate element, and is updated once every 10 years.
In this embodiment, the pro and con yields of the region to be evaluated is calculated NPP - NPP K= Oi OI x100% according to NPPoi
Where Ki is the pro and con yields of the region to be evaluated in the i-th year. NPI'i is
the climate production potential of the region to be evaluated in the i-th year. NPPOi is the standard climate average status production potential of the region to be evaluated in the i-th year. The standard climate average status production potential is the average value of 30 climate production potential samples of the region to be evaluated in the past 30 years in the history
Step S103: determine the regional eco-environment quality grade corresponding to the pro and con yields K of the region to be evaluated according to the preset correspondence relationship between the pro and con yields K and the regional eco-environment quality grade.
Specifically, the regional eco-quality is defined as the pro and con of the regional climate production potential compared to the standard climate average status production potential. In this embodiment, regional eco-environmental quality can be divided into different grades in pro and con, which in turn correspond to the pro and con eco-quality annual harvest. For example, the regional eco-environmental quality is divided into six grades: a pro year, a slight pro year, a steady and slight pro year, a steady and slight con year, a slight con year, and a con year. Step S103 can specifically comprises:
Step S1031: if K>10, output that the regional eco-environment quality grade of the region to be evaluated is in the pro year. Step S1032: if 5<K<10, output that the regional eco-environment quality grade of the region to be evaluated is in the slight pro year. Step S1033: if 0<K<5, output that the regional eco-environment quality grade of the region to be evaluated is steady and slight pro.
Step S1034: if -5<K<O, output that the regional eco-environment quality grade of the region to be evaluated is steady and slight con. Step S1035: if -10<K<-5, output that the regional eco-environment quality grade of the region to be evaluated is in the slight con year. Step S1036: if K<-10, output that the regional eco-environment quality grade of the region to be evaluated is in the con year.
Step S104: output the pro and con eco-quality annual harvests corresponding to the regional eco-environmental quality grade according to the preset correspondence relationship between the regional eco-environment quality grade and the pro and con eco-quality annual harvests.
In this embodiment, the regional eco-environmental quality is divided into 6 grades: the pro year, the slight pro year, the steady and slight pro year, the steady and slight con year, the slight con year, and the con year, which correspond to pro, slight pro, steady and slight pro, steady and slight con, slight con and con eco-quality annual harvests, respectively. Step S104 can specifically include:
Step S1041: if the regional eco-environmental quality grade of the region to be evaluated is in the pro year, output that the pro and con eco-quality annual harvests of the region to be evaluated are pro. Step S1042: if the regional eco-environment quality grade of the region to be evaluated is in the slight pro year, output that the pro and con eco-quality annual harvests of the region to be evaluated are slight pro. Step S1043: if the regional eco-environment quality grade of the region to be evaluated is in the steady and slight pro year, the pro and con annual eco-quality annual harvests of the region to be evaluated are steady and slight pro. Step S1044: if the regional eco-environment quality grade of the region to be evaluated is in the steady and slight con year, output that the pro and con eco-quality annual harvests of the region to be evaluated are steady and slight con. Step S1045: if the regional eco-environment quality grade of the region to be evaluated is in the slight con year, output that the pro and con eco-quality annual harvests of the region to be evaluated is slight con. Step S1046: if the regional eco-environment quality grade of the region to be evaluated is in the con year, output that the pro and con eco-quality annual harvests of the region to be evaluated are con.
Please refer to FIG. 3, in order to take the Liaoning region as the region to be evaluated, the diagram of the prediction and evaluation results of the eco-quality annual harvest of the Liaoning Province in 2015 is obtained. In this embodiment, current climate average values are set to be statistic values of the climate data in Liaoning Province from 1981 to 2010.
As can be seen from the above embodiments, the present invention provides a method for predicting and evaluating regional eco-quality annual harvest. From the perspective of meteorology, the method makes full use of the characteristics of easy availability, good consistency and predictability of meteorological or climate data, to carry out the prediction and evaluation of the regional eco-quality annual harvest. Further, the present invention has the advantages of simple operation, easy promotion and application, and high indication significance.
Referring to FIG. 4, an embodiment of the present invention also provides a device for predicting and evaluating regional eco-quality annual harvest, comprising:
an acquisition unit 401, configured to acquire the climate production potential of a region to be evaluated;
a calculation unit, configured to calculate the pro and con yields K of the region to be evaluated according to the climate production potential of the region to be evaluated, wherein the pro and con yields K of the region to be evaluated refer to the increase and decrease percentages of the climate production potential of the region to be evaluated relative to standard climate average status production potential.
a determining unit, configured to output the regional eco-environment quality grade corresponding to the pro and con yields K of the region to be evaluated according to the preset correspondence relationship between the pro and con yields K and the regional eco-environment quality grade.
an output unit, configured to output pro and con eco-quality annual harvests corresponding to the regional eco-environmental quality grade according to the preset correspondence relationship between the regional eco-environmental quality grade and the pro and con eco-quality annual harvests.
In this embodiment, the climate production potential of the region to be evaluated is calculated according to Thornthwaite-Memorial model..
In this embodiment, the calculation unit 402 is configured to:
calculate the pro and con yields of the region to be evaluated according to K=NPP 1- NPP K. = °_i °i x 1000 NPP~ 1
NPP Where Ki is the pro and con yields of the region to be evaluated in the i-th year. N i is
the climate production potential of the region to be evaluated in the i-th year. A i is the standard climate average status production potential of the region to be evaluated in the i-th year. The standard climate average status production potential is the average value of 30 climate production potential samples of the region to be evaluated in the past 30 years in the history.
In this embodiment, the determining unit 403 is configured to:
If K>10, output that the regional eco-environmental quality grade of the region to be evaluated is in the pro year; if 5<K<10, output that the regional eco-environmental quality grade of the region to be evaluated is in the slight pro year; ifO<K< 5, the regional eco-environment quality grade of the region to be evaluated is steady and slight pro; if -5<K<O, output that the regional eco-environment quality grade of the region to be evaluated is steady and slight con; if -10<K< -5, output that the regional eco-environment quality grade of the region to be evaluated is in the slight con year; if K<-10, output that the regional eco-environment quality grade of the region to be evaluated is the con year.
In this embodiment, the output unit 404 is configured to: output that the pro and con eco-quality annual harvests of the region to be evaluated are pro if the regional eco-environment quality grade of the region to be evaluated is in the pro year; output that the pro and con eco-quality annual harvests of the region to be evaluated are slight pro if the regional eco-environment quality grade of the region to be evaluated is in the slight pro year; output that the pro and con eco-environment quality annual harvests of the region to be evaluated is steady and slight pro if the regional eco-environment quality grade of the region to be evaluated is in the steady and slight pro year; output that the pro and con eco-quality annual harvests of the region to be evaluated are steady and slight con if the regional eco-environment quality grade of the region to be evaluated is in the steady and slight con year; output that the pro and con eco-quality annual harvests of the region to be evaluated are slight con if the regional eco-environment quality grade of the region to be evaluated is in the slight con year; output that the pro and con eco-quality annual harvests of the region to be evaluated are con if the regional eco-environment quality grade of the region to be evaluated is in the con year.
An embodiment of the present invention also provides a storage medium. The storage medium stores a computer program therein. When the computer program is executed by a processor, part or all of steps in each embodiment of a method for predicting and evaluating regional eco-quality annual harvest provided by the present invention. The storage medium can be a magnetic disk, an optical disk, a read-only memory (ROM) or a random access memory (RAM), etc.
The person skilled in the art can clearly understand that the technology in the embodiments of the present invention can be implemented by means of software plus a necessary general hardware platform. Based on this understanding, the essence of the technical solutions in the embodiments of the present invention or part of contributions to the prior art can be embodied in the form of software products. The computer software products can be stored in the storage medium, such as ROM/RAM, the magnetic disk, the optical disks, etc., and comprises a plurality of instructions to enable one computer apparatus (which can be a personal computer, a server, or a network device, etc.) to perform the method described in various embodiments of the present invention or some parts of the embodiments.
The same or similar parts among the embodiments in this specification can be referred to each other. In particular, for an embodiment of the device for predicting and evaluating the regional eco-quality annual harvest, since the device is basically similar to the method embodiment, the description is relatively simple, and the relevant information can be referred to the description in the method embodiment.
The above-mentioned embodiments of the present invention do not constitute a limitation on the protection scope of the present invention.
Claims (10)
1. A method for predicting and evaluating regional eco-quality annual harvest, comprising:
obtain the climate production potential of a region to be evaluated;
calculate the pro and con yields K of the region to be evaluated according to the climate production potential of the region to be evaluated, wherein the pro and con yields K of the region to be evaluated refers to the increase and decrease percentages of the climate production potential of the region to be evaluated relative to standard climate average production potential;
determine regional eco-environment quality grade corresponding to the pro and con yields K of the region to be evaluated according to the preset correspondence relationship between the pro and con yields K and the regional eco-environment quality grade;
output pro and con eco-quality annual harvests corresponding to the regional eco-environmental quality grade according to the preset correspondence relationship between the regional eco-environment quality grade and the pro and con eco-quality annual harvests.
2. The method of claim 1, wherein the climate production potential of the region to be evaluated is calculated according to Thornthwaite-Memorial model.
3. The method according to claim 1, wherein in the step of calculating the pro and con yields K of the region to be evaluated according to the climate production potential of the region to be evaluated,
the pro and con yields of the region to be evaluated are calculated according to NPP - NPP K.= °i Ix100% NPPi
where K is the pro and con yields of the region to be evaluated in the i-th year, NP-I~
is the climate production potential of the region to be evaluated in the i-th year, -Oi is the standard climate average status production potential of the region to be evaluated in the i-th year, the standard climate average status production potential is the average value of 30 climate production potential samples of the region to be evaluated in the past 30 years in the history.
4. The method according to claim 1, wherein according to the preset correspondence relationship between the pro and con yields K and the regional eco-environmental quality grade, it is determined that the regional eco-environment quality grade corresponding to the pro and con yields K of the region to be evaluated comprises:
if K>10, determine that the regional eco-environment quality grade of the region to be evaluated is in a pro year; if 5<K<10, determine that the regional eco-environment quality grade of the region to be evaluated is in a slight pro year; if O<K<5, determine that the regional eco-environment quality grade of the region to be evaluated is steady and slight pro; if -5<K<, determine that the regional eco-environment quality grade of the region to be evaluated is steady and slight con; if -10<K<-5, determine the regional eco-environment quality grade of the region to be evaluated is in a slight con year; if K<-10, determine that the regional eco-environment quality grade of the region to be evaluated is in a con year.
5. The method according to claim 4, wherein according to the preset correspondence relationship between the regional eco-environment quality grade and the pro and con eco-quality annual harvest, it is output that the pro and con eco-quality annual harvests corresponding to the regional eco-environment quality grade comprise:
if the regional eco-environment quality grade of the region to be evaluated is in the pro year, output that the pro and con eco-quality annual harvests of the region to be evaluated are pro;
if the regional eco-environment quality grade of the region to be evaluated is in the pro year, output that the pro and con eco-quality annual harvests of the region to be evaluated are the slight pro;
if the regional eco-environment quality grade of the region to be evaluated is the steady and slight pro year, output that the eco-environment quality annual harvests of the region to be evaluated are steady and slight pro;
if the regional eco-environment quality grade of the region to be evaluated is the steady and slight con, output that the pro and con eco-quality annual harvests of the region to be evaluated are steady and slight con;
if the regional eco-environment quality grade of the region to be evaluated is the slight con year, output that the pro and con eco-quality annual harvests of the region to be evaluated are slight con;
if the regional eco-environment quality grade of the region to be evaluated is the con year, output that the pro and con eco-quality annual harvests of the region to be evaluated are con.
6. A device for predicting and evaluating regional eco-quality annual harvest, comprising: an acquisition unit, configured to acquire the climate production potential of a region to be evaluated; a calculation unit, configured to calculate the pro and con yields K of the region to be evaluated according to the climate production potential of the region to be evaluated, wherein the pro and con yields K of the region to be evaluated refer to the increase and decrease percentages of the climate production potential of the region to be evaluated relative to standard climate average status production potential; a determining unit, configured to output the regional eco-environment quality grade corresponding to the pro and con yields K of the region to be evaluated according to the preset correspondence relationship between the pro and con yields K and the regional eco-environment quality grade; an output unit, configured to output pro and con eco-quality annual harvests corresponding to the regional eco-environmental quality grade according to the preset correspondence relationship between the regional eco-environmental quality grade and the pro and con eco-quality annual harvests.
7. The device of claim 6, wherein the climate production potential of the region to be evaluated is calculated according to Thornthwaite-Memorial model.
8. The device of claim 6, wherein the calculation unit is configured to:
NPP - NPP K. = i °i x 100% calculate the yield of the region to be evaluated according to ' NPPI
where Ki is the pro and con yields of the region to be evaluated in the i-th year, NPJolis the climate production potential of the region to be evaluated in the i-th year, Ni is the standard climate average status production potential of the region to be evaluated in the i-th year, the standard climate average status production potential is the average value of 30 climate production potential samples of the region to be evaluated in the past 30 years in the history.
9. The device of claim 6, wherein the determining unit is configured to:
determine that the regional eco-environment quality grade of the region to be evaluated is in the pro year if K>10;
determine that the regional eco-environment quality grade of the region to be evaluated is in the slight pro year if 5<K<10;
determine that the regional eco-environment quality grade of the region to be evaluated is steady and slight pro if 0<K<5; determine that the regional eco-environment quality grade of the region to be evaluated is steady and slight con if -5< K<0; determine the regional eco-environment quality grade of the region to be evaluated is in slight con year if -10 <K<-5; determine that the regional eco-environment quality grade of the region to be evaluated is in the con year if K<-10.
10. The method of claim 9, wherein the output unit is configured to:
output that the pro and con eco-quality annual harvests of the region to be evaluated are pro if the regional eco-environment quality grade of the region to be evaluated is in the pro year;
output that the pro and con eco-quality annual harvests of the region to be evaluated are slight pro if the regional eco-environment quality grade of the region to be evaluated is in the slight pro year;
output that the pro and con eco-environment quality annual harvests of the region to be evaluated is steady and slight pro if the regional eco-environment quality grade of the region to be evaluated is in the steady and slight pro year;
output that the pro and con eco-quality annual harvests of the region to be evaluated are steady and slight con if the regional eco-environment quality grade of the region to be evaluated is in the steady and slight con year;
output that the pro and con eco-quality annual harvests of the region to be evaluated are slight con if the regional eco-environment quality grade of the region to be evaluated is in the slight con year;
output that the pro and con eco-quality annual harvests of the region to be evaluated are con if the regional eco-environment quality grade of the region to be evaluated is in the con year.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| AU2020101462A AU2020101462A4 (en) | 2020-07-23 | 2020-07-23 | Method and device for predicting and evaluating regional eco-quality annual harvest |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| AU2020101462A AU2020101462A4 (en) | 2020-07-23 | 2020-07-23 | Method and device for predicting and evaluating regional eco-quality annual harvest |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| AU2020101462A4 true AU2020101462A4 (en) | 2020-08-27 |
Family
ID=72146344
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| AU2020101462A Ceased AU2020101462A4 (en) | 2020-07-23 | 2020-07-23 | Method and device for predicting and evaluating regional eco-quality annual harvest |
Country Status (1)
| Country | Link |
|---|---|
| AU (1) | AU2020101462A4 (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114399206A (en) * | 2022-01-17 | 2022-04-26 | 成都鸿钰网络科技有限公司 | Grassland ecological health assessment method and system |
| CN117408418A (en) * | 2023-10-16 | 2024-01-16 | 河南大学 | Regional comprehensive ecological environment quality evaluation method and system based on remote sensing big data |
-
2020
- 2020-07-23 AU AU2020101462A patent/AU2020101462A4/en not_active Ceased
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114399206A (en) * | 2022-01-17 | 2022-04-26 | 成都鸿钰网络科技有限公司 | Grassland ecological health assessment method and system |
| CN117408418A (en) * | 2023-10-16 | 2024-01-16 | 河南大学 | Regional comprehensive ecological environment quality evaluation method and system based on remote sensing big data |
| CN117408418B (en) * | 2023-10-16 | 2024-05-10 | 河南大学 | Regional comprehensive ecological environment quality evaluation method and system based on remote sensing big data |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN112488395B (en) | Method and system for predicting line loss of power distribution network | |
| CN109615226B (en) | Operation index abnormity monitoring method | |
| CN110400021B (en) | Bank branch cash usage prediction method and device | |
| CN112734128B (en) | 7-day power load peak prediction method based on optimized RBF | |
| CN106250306A (en) | A kind of performance prediction method being applicable to enterprise-level O&M automatization platform | |
| AU2020101462A4 (en) | Method and device for predicting and evaluating regional eco-quality annual harvest | |
| CN110969306B (en) | Power distribution low-voltage transformer area load prediction method and device based on deep learning | |
| CN108491982A (en) | A kind of short-term load forecasting method and system based on echo state network | |
| CN107015900B (en) | A kind of service performance prediction technique of video website | |
| CN111737249A (en) | Abnormal data detection method and device based on Lasso algorithm | |
| CN116307215A (en) | Load prediction method, device, equipment and storage medium of power system | |
| CN115859450A (en) | Building modeling data processing method and system based on BIM technology | |
| CN109523077B (en) | Wind power prediction method | |
| CN113988398A (en) | Wind turbine generator power prediction method and device, electronic equipment and storage medium | |
| CN112801388A (en) | Power load prediction method and system based on nonlinear time series algorithm | |
| CN112598227A (en) | Power economic index construction method and system based on power data | |
| CN109886288B (en) | State evaluation method and device for power transformer | |
| CN115391746B (en) | Interpolation method, interpolation device, electronic device and medium for meteorological element data | |
| CN115115107A (en) | Photovoltaic power prediction method and device and computer equipment | |
| CN110751335A (en) | Regional ecological quality annual scene prediction evaluation method and device | |
| CN115904901A (en) | Electricity meter energy consumption metering analysis early warning system | |
| CN117039855B (en) | Intelligent load prediction method and system for power system | |
| Lu | Product order data analysis and demand forecasting based on machine learning | |
| CN114243695B (en) | Power load prediction method based on bidirectional long-short-term memory neural network | |
| CN115965410A (en) | Site selection method and device for network points |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| FGI | Letters patent sealed or granted (innovation patent) | ||
| MK22 | Patent ceased section 143a(d), or expired - non payment of renewal fee or expiry |