CN109902879A - Cane planting zoning method based on comprehensive suitability degree index - Google Patents
Cane planting zoning method based on comprehensive suitability degree index Download PDFInfo
- Publication number
- CN109902879A CN109902879A CN201910169954.8A CN201910169954A CN109902879A CN 109902879 A CN109902879 A CN 109902879A CN 201910169954 A CN201910169954 A CN 201910169954A CN 109902879 A CN109902879 A CN 109902879A
- Authority
- CN
- China
- Prior art keywords
- ssi
- soil
- sugarcane
- evaluation
- day
- 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.)
- Granted
Links
- 238000000034 method Methods 0.000 title claims abstract description 25
- 238000013316 zoning Methods 0.000 title claims abstract description 24
- 240000000111 Saccharum officinarum Species 0.000 claims abstract description 80
- 235000007201 Saccharum officinarum Nutrition 0.000 claims abstract description 80
- 239000002689 soil Substances 0.000 claims abstract description 62
- 238000011156 evaluation Methods 0.000 claims abstract description 55
- 238000004519 manufacturing process Methods 0.000 claims abstract description 32
- 210000003608 fece Anatomy 0.000 claims abstract description 12
- 239000007788 liquid Substances 0.000 claims abstract description 12
- 239000010871 livestock manure Substances 0.000 claims abstract description 12
- 235000000346 sugar Nutrition 0.000 claims abstract description 8
- 230000005855 radiation Effects 0.000 claims description 35
- IJGRMHOSHXDMSA-UHFFFAOYSA-N Atomic nitrogen Chemical compound N#N IJGRMHOSHXDMSA-UHFFFAOYSA-N 0.000 claims description 20
- 238000001556 precipitation Methods 0.000 claims description 15
- 235000015097 nutrients Nutrition 0.000 claims description 14
- 229910052757 nitrogen Inorganic materials 0.000 claims description 10
- 230000035558 fertility Effects 0.000 claims description 7
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 6
- OAICVXFJPJFONN-UHFFFAOYSA-N Phosphorus Chemical compound [P] OAICVXFJPJFONN-UHFFFAOYSA-N 0.000 claims description 5
- ZLMJMSJWJFRBEC-UHFFFAOYSA-N Potassium Chemical compound [K] ZLMJMSJWJFRBEC-UHFFFAOYSA-N 0.000 claims description 5
- 238000005259 measurement Methods 0.000 claims description 5
- 229910052698 phosphorus Inorganic materials 0.000 claims description 5
- 239000011574 phosphorus Substances 0.000 claims description 5
- 239000011591 potassium Substances 0.000 claims description 5
- 229910052700 potassium Inorganic materials 0.000 claims description 5
- 238000007726 management method Methods 0.000 claims description 4
- 230000007774 longterm Effects 0.000 claims description 3
- 235000016709 nutrition Nutrition 0.000 claims description 3
- 230000035764 nutrition Effects 0.000 claims description 3
- 150000008163 sugars Chemical class 0.000 claims description 3
- 206010054949 Metaplasia Diseases 0.000 claims description 2
- NINIDFKCEFEMDL-UHFFFAOYSA-N Sulfur Chemical compound [S] NINIDFKCEFEMDL-UHFFFAOYSA-N 0.000 claims description 2
- 238000004364 calculation method Methods 0.000 claims description 2
- 230000015689 metaplastic ossification Effects 0.000 claims description 2
- 229910052717 sulfur Inorganic materials 0.000 claims description 2
- 239000011593 sulfur Substances 0.000 claims description 2
- 239000000463 material Substances 0.000 abstract description 5
- 238000013439 planning Methods 0.000 abstract description 3
- 230000002195 synergetic effect Effects 0.000 abstract description 3
- 230000009286 beneficial effect Effects 0.000 abstract description 2
- 230000007613 environmental effect Effects 0.000 abstract 1
- 230000008901 benefit Effects 0.000 description 4
- 235000009508 confectionery Nutrition 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 3
- 238000005457 optimization Methods 0.000 description 2
- 239000005416 organic matter Substances 0.000 description 2
- 241000208340 Araliaceae Species 0.000 description 1
- 102100033158 Centrosomal protein of 104 kDa Human genes 0.000 description 1
- 241000196324 Embryophyta Species 0.000 description 1
- 101000944336 Homo sapiens Centrosomal protein of 104 kDa Proteins 0.000 description 1
- 235000005035 Panax pseudoginseng ssp. pseudoginseng Nutrition 0.000 description 1
- 235000003140 Panax quinquefolius Nutrition 0.000 description 1
- 244000130503 Saccharum sinense Species 0.000 description 1
- 230000006978 adaptation Effects 0.000 description 1
- 238000012271 agricultural production Methods 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 239000003153 chemical reaction reagent Substances 0.000 description 1
- 239000002131 composite material Substances 0.000 description 1
- 239000012141 concentrate Substances 0.000 description 1
- 238000007796 conventional method Methods 0.000 description 1
- 238000012937 correction Methods 0.000 description 1
- 230000006735 deficit Effects 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000018109 developmental process Effects 0.000 description 1
- 238000009826 distribution Methods 0.000 description 1
- 239000004744 fabric Substances 0.000 description 1
- 230000009746 freeze damage Effects 0.000 description 1
- 235000008434 ginseng Nutrition 0.000 description 1
- 238000003973 irrigation Methods 0.000 description 1
- 230000002262 irrigation Effects 0.000 description 1
- 238000010899 nucleation Methods 0.000 description 1
- 235000008935 nutritious Nutrition 0.000 description 1
- 238000011158 quantitative evaluation Methods 0.000 description 1
- 230000007261 regionalization Effects 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 239000002881 soil fertilizer Substances 0.000 description 1
- 238000010561 standard procedure Methods 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
- G06Q10/00—Administration; Management
- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
-
- 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
-
- Y—GENERAL 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
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A40/00—Adaptation technologies in agriculture, forestry, livestock or agroalimentary production
- Y02A40/10—Adaptation technologies in agriculture, forestry, livestock or agroalimentary production in agriculture
- Y02A40/22—Improving land use; Improving water use or availability; Controlling erosion
-
- Y—GENERAL 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
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A90/00—Technologies having an indirect contribution to adaptation to climate change
- Y02A90/10—Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation
Landscapes
- Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Economics (AREA)
- Strategic Management (AREA)
- Physics & Mathematics (AREA)
- Tourism & Hospitality (AREA)
- Theoretical Computer Science (AREA)
- Marketing (AREA)
- General Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- Life Sciences & Earth Sciences (AREA)
- Animal Husbandry (AREA)
- Quality & Reliability (AREA)
- Operations Research (AREA)
- Entrepreneurship & Innovation (AREA)
- Game Theory and Decision Science (AREA)
- Agronomy & Crop Science (AREA)
- Development Economics (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)
- Cultivation Of Plants (AREA)
Abstract
The present invention relates to a kind of cane planting zoning methods based on comprehensive suitability degree index, include the following steps: natural climate condition evaluation, soil liquid manure condition evaluating, sugarcane production Potential Evaluation and based on comprehensive suitability degree index zoning cane planting.The present invention is on the basis of investigating and assessing sugarcane district natural environmental condition further, classification assessment is carried out to the weather in sugar material cane planting region, soil and sugarcane production potentiality element in conjunction with the technical method of meteorology, agrology, cultivation of sugar cane and crop modeling, be beneficial to make full use of natural conditions carry out sugar material sugarcane production layout make rational planning for and scientic planting, to improve the utilization efficiency of weather, soil resource, cost-saving synergistic promotes Sugarcane Industry to stride forward to the overall goal of " high yield, height are sugared, efficient, intensive, ecological, safe ".
Description
Technical field
The present invention relates to a kind of cane planting zoning method, especially a kind of cane planting based on comprehensive suitability degree index
Zoning methods.
Background technique
The matter of utmost importance of Sugarcane Industry structural adjustment is exactly to optimize cane planting region layout, the only realization of adaptation to local conditions
The allocation optimum of all kinds of resources, ability cost-saving synergistic realize high-yield and high-efficiency plantation.
But downward trend year by year is presented in China's sugarcane acreage in recent years, and there are still cane planting zoning indexs at present
Incomplete, planting system and Variety distribution are not reasonable, and sugarcane district natural climate, soil resource utilization efficiency are low, meteorological calamity
The problems such as serious are lost in the evil underproduction.Under new development situation and requirement, carried out only in accordance with meteorological station observational data sweet
The conventional method of sugarcane agricultral climatic regionalization is difficult to meet the adjustment of following cane planting region layout optimization and high-yield and high-efficiency plantation
It needs.
Therefore, it is necessary to reinforce the research of cane planting zoning method, division index and method are refined and optimized, section is passed through
Planning concentrates sugarcane production to advantage producing region, changes traditional casual household's planting patterns, develops intensive, scale kind
It plants, improves the utilization efficiency of resource.
Summary of the invention
The present invention is for division index and method problem present in existing sugar material cane planting, to Chinese sugarcane master
On the basis of the agricultural production zoning element in producing region carries out comprehensive analysis assessment, propose a kind of based on comprehensive suitability degree index
Cane planting zoning method, going after profits and advoiding disadvantages for sugarcane production layout optimization and making full use of the natural resources, it is big to improve sugarcane
Field production efficiency provides scientific basis.Present invention combination meteorology, agrology, cultivation of sugar cane are related to crop modeling
Technical method carries out single index point to elements such as the weather in sugar material cane planting region, soil and sugarcane production potentiality first
Then class assessment carries out cane planting zoning by calculating comprehensive suitability degree index.
To solve the problems, such as existing cane planting zoning, its target that the invention is realized by the following technical scheme:
A kind of cane planting zoning method based on comprehensive suitability degree index, includes the following steps:
Step (1), natural climate condition evaluation
Evaluation to natural climate condition includes: the total solar radiation year value evaluation based on sunshine time;Based on day highest,
The temperature of the lowest temperature is evaluated and the annual precipitation evaluation based on intra day ward;
The evaluation of total solar radiation year value is carried out as follows:
The total solar radiation earning in a day is calculated according to formula (1) first, Rs is the total solar radiation of day earth's surface, MJ/m in formula2;Ra is day
Clear sky total solar radiation, MJ/m2;N is sunshine time, h;N is that day is long, h;A and b is model empirical coefficient;
Then total solar radiation year value is calculated according to formula (2), i is day sequence in formula;RsiDay earth's surface on the day of being i for day sequence
Total solar radiation, MJ/m2;The Daily global solar radiation accumulated value that Rad is annual 365 days, i.e. total solar radiation year value, MJ/m2;Root
Solar radiation suitability degree index SSI is carried out according to the size of Rad_RadAssignment;
It is carried out as follows based on day highest, the evaluation of the temperature of the lowest temperature:
Using the region many years terrestrial climate data earning in a day data set day highest, the lowest temperature calculate following index: year
Samming Tav, >=20 DEG C of accumulated temperature Tt, average annual accumulated temperature Tm and daily temperature range Tr;Distinguished according to Tav, Tt, Tm, Tr size
Carry out proper temperature degree index SSI_Tav、SSI_Tt、SSI_TmAnd SSI_TrAssignment;
Annual precipitation evaluation based on intra day ward is carried out as follows:
Annual precipitation Pre is calculated using the intra day ward of the region many years terrestrial climate data earning in a day data set, according to Pre
Size is into annual precipitation suitability degree index SSI_PreAssignment;
Step (2), soil liquid manure condition evaluating
Soil liquid manure condition evaluating includes soil moisture evaluation and fertility evaluation, wherein soil moisture evaluation are as follows: right
Local sugarcane district typical soil is sampled, depth selection 0-60cm, and measurement soil field holds and wilting moisture and calculates soil
Effective water content SAW carries out soil moisture suitability degree index SSI according to SAW size_SAWAssignment;Fertility evaluation are as follows: right
Sugarcane district typical soil is sampled, depth selection 0-20cm, the measurement soil organism, full nitrogen, alkali-hydrolyzable nitrogen, rapid available phosphorus and speed
Potassium content is imitated, (1-6 grades) are classified according to sugarcane district classification for soil nutrition standard, soil nutrient is carried out according to classification situation SNL
Suitability degree index SSI_SNLAssignment;
Step (3), sugarcane production Potential Evaluation
Sugarcane production Potential Evaluation includes: planting scale evaluation and cane yield evaluation;Wherein, planting scale is evaluated are as follows:
The nearly 3 years sugarcane acreage data in the region are collected, by the long-term sugarcane acreage SPA of mean value calculation, according to SPA
Size carries out planting scale suitability degree SSI_SPAAssignment;Cane yield evaluation are as follows: based on the local many years terrestrial climate data earning in a day
Data set (Daily global solar radiation, daily maximum temperature, daily minimal tcmperature and daily rainfall) and above-mentioned sugarcane district soil liquid manure condition,
With reference to the related management measure that the high Standard for Sugars metaplasia of sugarcane high-yield produces, the main cultivation of APSIM-Sugar modeling locality sugarcane is utilized
The many years of kind are averaged cane yield TCH, carry out cane yield suitability degree SSI according to TCH size_TCHAssignment;
Step (4) is based on comprehensive suitability degree index zoning cane planting
The comprehensive suitability degree index CSI of sugarcane production is calculated as follows:
CSI=(SSI_Rad+SSI_Tav+SSI_Tt+SSI_Tm+SSI_Tr+SSI_Pre+SSI_SAW+SSI_SNL+SSI_SPA+
SSI_TCH) × 0.1, wherein SSI_Rad、SSI_Tav、SSI_Tt、SSI_Tm、SSI_Tr、SSI_Pre、SSI_SAW、SSI_SNL、SSI_SPA、
SSI_TCHIt is followed successively by total solar radiation year value, Nian Junwen, >=20 DEG C of accumulated temperature, average annual accumulated temperature, daily temperature range, annual rainfalls
Amount, the individual event suitability degree assignment of Available sulfur content, soil nutrient grade, planting scale, cane yield;As 1≤CSI
When≤2, which is sugarcane production the most suitable region;As 2 < CSI≤3, which is sugarcane production Suitable Area;When 3 < CSI≤
When 5, which is sugarcane production time Suitable Area.
Further, in step (1), a and b default value are respectively 0.25 and 0.5, or right using formula (3) and formula (4)
A and b value is corrected:
A=1.57 × 10-5×H+0.1705 (3);
B=2.01 × 10-5×H+0.5416 (4);
In formula, H is local height above sea level, m.
Further, in step (1), when Rad >=5000, SSI_Rad=1;When 5000 > Rad >=4000, SSI_Rad=3;
When Rad < 4000, SSI_Rad=5;
When Tav >=20, SSI_Tav=1;When 20 > Tav >=15, SSI_Tav=3;When Tav < 15, SSI_Tav=5, Tav unit
For DEG C;
When Tt >=5000, SSI_Tt=1;When 5000 > Tt >=3000, SSI_Tt=3;When Tt < 3000, SSI_Tt=5, Tt are mono-
Position is DEG C d;
When Tm >=-2, SSI_Tm=1;When -4≤Tm < -2, SSI_Tm=3;When Tm < -4, SSI_Tm=5, Tm unit are DEG C;
When Tr >=12, SSI_Tr=1;When 12 > Tr >=10, SSI_Tr=3;When Tr < 10, SSI_Tr=5, Tr unit are DEG C;
When 1500≤Pre≤2000, SSI_Pre=1;1000≤Pre < 1500 or when 2000 < Pre≤2500, SSI_Pre=
3;Pre>2500 or when Pre<1000, SSI_Pre=5;Pre unit is mm.
Further, in step (2), when SAW >=20, SSI_SAW=1;When 20 > SAW >=10, SSI_SAW=3;SAW<10
When, SSI_SAW=5;SAW unit is %;SNL=1-2 is high nutrient soil, SSI_SNL=1;SNL=3 is middle nutrient soil,
SSI_SNL=3;SNL=4-6 is low nutrient soil, SSI_SNL=5.
Further, in step (3), when SPA >=20000, SSI_SPA=1;When 20000 > SPA >=10000, SSI_SPA=
3;When SPA < 10000, SSI_SPA=5, SPA unit are hm2;When TCH >=90, SSI_TCH=1;When 90 > TCH >=60, SSI_TCH
=3;When TCH < 60, SSI_TCH=5, TCH unit are t/hm2。
Compared with prior art, the invention has the benefit that
(1) present invention passes through weather, soil and sugarcane production on the basis of investigating and assessing sugarcane district natural conditions further
In key factor carry out quantitative evaluation, it is scientific and reasonable.
(2) present invention combines the technical method of meteorology, agrology, cultivation of sugar cane and crop modeling to carry out sugarcane kind
Growing area is drawn, and the utilization efficiency of all kinds of resources can be effectively improved.
(3) present invention is using the sweet of unified single index suitability degree index sugarcane district different with comprehensive suitability degree Index Assessment
Sugarcane productive potentialities had not only facilitated and had compared but also application easy to spread, were beneficial to that natural conditions is made full use of to carry out sugar material sugarcane production cloth
Office make rational planning for and scientic planting, cost-saving synergistic, promote Sugarcane Industry to " high yield, it is high it is sugared, efficient, intensive, ecological, pacify
Overall goal entirely " strides forward.
Specific embodiment
In order to make the objectives, technical solutions, and advantages of the present invention clearer, with reference to embodiments, to the present invention
It is further elaborated.It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, and do not have to
It is of the invention in limiting.In the examples where no specific technique or condition is specified, according to the literature in the art described technology or
Condition is carried out according to product description.Reagents or instruments used without specified manufacturer is that can be obtained by purchase
The conventional products obtained.
Embodiment 1
The cane planting zoning method based on comprehensive suitability degree index of the present embodiment, is planted for Gengma, Yunnan sugarcane district
Growing area is drawn, and is included the following steps:
The evaluation of step (1), natural climate condition
Evaluation to natural climate condition includes: the total solar radiation year value evaluation based on sunshine time;Based on day highest,
The temperature of the lowest temperature is evaluated and the annual precipitation evaluation based on intra day ward;
Total solar radiation year value based on sunshine time is carried out as follows:
The sunshine time of the honest and just horse 1981-2010 terrestrial climate data earning in a day data set formula (1) is substituted into first to calculate too
Then positive global radiation earning in a day Rs calculates total solar radiation year value Rad according to formula (2), formula (3) and formula (4) are respectively in formula (1)
The updating formula of parameter a and b.
A=1.57 × 10-5×H+0.1705 (3)
B=2.01 × 10-5×H+0.5416 (4)
Rs is the total solar radiation of day earth's surface, MJ/m in formula2;Ra is the total solar radiation of day clear sky, MJ/m2;N is sunshine time,
h;N is that day is long, h;A and b is model empirical coefficient, and default value is respectively 0.25 and 0.5, and Yunnan Low Latitude plateau sugarcane district can be used
Formula (3) and formula (4) carry out parameter correction, and H is height above sea level (m) in formula.I is day sequence;RsiDay earth's surface on the day of being i for day sequence
Total solar radiation, MJ/m2;The Daily global solar radiation accumulated value that Rad is annual 365 days, i.e. total solar radiation year value, MJ/m2;Root
Solar radiation suitability degree index SSI is carried out according to the size of Rad_RadAssignment;When Rad >=5000, SSI_Rad=1;5000>Rad≥
When 4000, SSI_Rad=3;When Rad < 4000, SSI_Rad=5.
The day evaluation of highest, the temperature of the lowest temperature is carried out as follows:
Using honest and just horse 1981-2010 terrestrial climate data earning in a day data set day highest, the lowest temperature calculate as follows finger
Mark (referring to China Meteorological data standard): Nian Junwen Tav, >=20 DEG C of accumulated temperature Tt, average annual accumulated temperature Tm and temperature day compared with
Poor Tr;Carry out proper temperature degree index SSI respectively according to Tav, Tt, Tm, Tr size_Tav、SSI_Tt、SSI_TmAnd SSI_Tr's
Assignment:
When Tav >=20, SSI_Tav=1;When 20 > Tav >=15, SSI_Tav=3;When Tav < 15, SSI_Tav=5, Tav unit
For DEG C;
When Tt >=5000, SSI_Tt=1;When 5000 > Tt >=3000, SSI_Tt=3;When Tt < 3000, SSI_Tt=5, Tt are mono-
Position is DEG C d;
When Tm >=-2, SSI_Tm=1;When -4≤Tm < -2, SSI_Tm=3;When Tm < -4, SSI_Tm=5, Tm unit are DEG C;
When Tr >=12, SSI_Tr=1;When 12 > Tr >=10, SSI_Tr=3;When Tr < 10, SSI_Tr=5, Tr unit are DEG C.
Annual precipitation evaluation based on intra day ward is carried out as follows:
Annual precipitation Pre (ginseng is calculated using the intra day ward of honest and just horse 1981-2010 terrestrial climate data earning in a day data set
According to China Meteorological data standard), assignment is carried out according to Pre size;When 1500≤Pre≤2000, SSI_Pre=1;1000≤
Pre < 1500 or when 2000 < Pre≤2500, SSI_Pre=3;Pre>2500 or when Pre<1000, SSI_Pre=5;Pre unit is
mm。
The present embodiment is based on honest and just horse 1981-2010 terrestrial climate data day Value Data and calculates local total solar radiation year value
Rad, Nian Junwen Tav, >=20 DEG C of accumulated temperature Tt, average annual accumulated temperature Tm, daily temperature range Tr and annual precipitation Pre, to evaluate
The natural climate suitability degree of honest and just horse cane planting, the results are shown in Table 1.
The honest and just horse cane planting natural climate suitability degree evaluation result of table 1
Step (2), soil liquid manure condition evaluating
Soil liquid manure condition evaluating includes soil moisture evaluation and fertility evaluation, wherein soil moisture evaluation (including
Tian Chi, wilting coefficient, effective water content, organic matter, full nitrogen, alkali-hydrolyzable nitrogen, rapid available phosphorus and quick-acting potassium content) are as follows: referring to NY/T
52-1987 and NY/T 1121.22-2010 determining soil moisture standard method is sampled local sugarcane district typical soil, takes
Sample depth is 0-60cm, and measurement soil field is held and wilting moisture and calculated Effective Soil Water Content SAW (%), and SAW >=20 are
Optimum, SSI_SAW=1;20 > SAW >=10 are suitable, SSI_SAW=3;SAW < 10 are time suitable, SSI_SAW=5.
Fertility evaluation are as follows:
Sugarcane district typical soil is sampled referring to " nutritious sugarcane management and detection technique ", depth selection 0-20cm,
The soil organism, full nitrogen, alkali-hydrolyzable nitrogen, rapid available phosphorus and quick-acting potassium content are measured, is divided according to sugarcane district classification for soil nutrition standard
Grade, SNL=1-2 are high nutrient soil, SSI_SNL=1;SNL=3 is middle nutrient soil, SSI_SNL=3;SNL=4-6 is low supports
Divide soil, SSI_SNL=5.
Effective water content SAW and nutrient grade SNL of the present embodiment based on honest and just horse sugarcane district typical soil sample, to assess Geng
The soil liquid manure suitability degree of horse cane planting, the results are shown in Table 2.
The honest and just horse cane planting soil liquid manure suitability degree evaluation result of table 2
Step (3), sugarcane production Potential Evaluation
Sugarcane production Potential Evaluation includes: planting scale evaluation and cane yield evaluation.
Wherein, planting scale is evaluated are as follows:
The sugarcane acreage data for obtaining honest and just nearly 3 years of horse (2016-2018) (are used uniformly international unit hectare hm2),
Planting scale SPA (hm is assessed by calculating average value2), SPA >=20000 are that scale is big, SSI_SPA=1;20000>SPA≥
10000 be SSI in scale_SPA=3;SPA < 10000 are small scale, SSI_SPA=5.
Cane yield evaluation are as follows:
Based on honest and just horse 1981-2010 terrestrial climate data day Value Data, (Daily global solar radiation, daily maximum temperature, day are most
Low temperature and daily rainfall), honest and just horse sugarcane district soil moisture data (field hold, wilting coefficient, effective water content) and soil nutrient number
According to (organic matter, full nitrogen, alkali-hydrolyzable nitrogen, rapid available phosphorus and quick-acting potassium content), with reference to the phase of the high Standard for Sugars production technology of sugarcane high-yield
It closes management measure (date of seeding, irrigation volume and dose etc.), utilizes the main cultivation product of APSIM-Sugar modeling Geng horse sugarcane district sugarcane
The many years of kind of ROC22 are averaged cane yield TCH (t/hm2), TCH >=90 are Gao Qianli, SSI_TCH=1;During 90 > TCH >=60 are
Potentiality, SSI_TCH=3;TCH < 60 are low potentiality, SSI_TCH=5.
The present embodiment is flat based on many years that the long-term sugarcane acreage SPA of honest and just horse and APSIM-Sugar modeling calculate
Equal cane yield TCH assesses honest and just horse sugarcane production potentiality, the results are shown in Table 3.
The honest and just horse sugarcane production Potential Evaluation result of table 3
Step (4) is based on comprehensive suitability degree index zoning cane planting
According to honest and just horse weather, soil and each single index suitability degree SSI of sugarcane production potentiality obtained in step (1)-(3)
Calculate sugarcane production suitability degree composite index CSI.
CSI=(SSI_Rad+SSI_Tav+SSI_Tt+SSI_Tm+SSI_Tr+SSI_Pre+SSI_SAW+SSI_SNL+SSI_SPA+
SSI_TCH) × 0.1=(1+1+1+1+1+3+3+3+1+1) × 0.1=1.6
Evaluation result shows honest and just horse sugarcane district photo-thermal and precipitation condition is particularly suitable for cane planting, and soil liquid manure condition is medium,
Cane planting scale is big and yield potential is high, and comprehensive suitability degree index CSI=1.6 belongs to sugarcane production the most suitable region.
Embodiment 2
The cane planting zoning method based on comprehensive suitability degree index of the present embodiment, is planted for Yuanjiang County of Yunnan sugarcane district
Growing area is drawn, and specific method is same as Example 1, and the results are shown in Table 4:
4 Yuanjiang River sugarcane production of table integrates suitability degree evaluation result
As can be seen from Table 4, Yuanjiang River sugarcane district light and heat condition is very good, but precipitation deficit, needs to reinforce to irrigate, soil fertilizer
Power is medium, and cane planting scale is smaller, but yield potential is high, comprehensive suitability degree index CSI=2.4, belongs to sugarcane production and is suitable for
Area.
Embodiment 3
The cane planting zoning method based on comprehensive suitability degree index of the present embodiment, is planted for Guangnan of Yunnan's sugarcane district
Growing area is drawn, and specific method is same as Example 1, and the results are shown in Table 5:
5 Guangnan sugarcane production of table integrates suitability degree evaluation result
As can be seen from Table 5, sugarcane district light and heat condition in Guangnan is general, year extreme temperature it is low, when have freeze injury, precipitation is not
Foot, soil fertility is medium, and cane planting scale is medium, and yield potential is medium, and comprehensive suitability degree index CSI=3.4 belongs to sweet
Sugarcane produces time Suitable Area.
The basic principles, main features and advantages of the present invention have been shown and described above.The technology of the industry
Personnel are it should be appreciated that the present invention is not limited to the above embodiments, and the above embodiments and description only describe this
The principle of invention, without departing from the spirit and scope of the present invention, various changes and improvements may be made to the invention, these
Changes and improvements all fall within the protetion scope of the claimed invention.The claimed scope of the invention is by appended claims
It defines.
Claims (5)
1. a kind of cane planting zoning method based on comprehensive suitability degree index, characterized by the following steps:
Step (1), natural climate condition evaluation
Evaluation to natural climate condition includes: the total solar radiation year value evaluation based on sunshine time;Based on day highest, minimum
The temperature of temperature is evaluated and the annual precipitation evaluation based on intra day ward;
The evaluation of total solar radiation year value is carried out as follows:
(1)
(2)
The total solar radiation earning in a day is calculated according to formula (1) first, Rs is the total solar radiation of day earth's surface, MJ/m in formula2;Ra is day clear sky
Total solar radiation, MJ/m2;N is sunshine time, h;N is that day is long, h;A and b is model empirical coefficient;
Then total solar radiation year value is calculated according to formula (2), in formulaiFor day sequence;Rs i It is for day sequenceiThe day earth's surface sun on the same day is total
Radiation, MJ/m2;The Daily global solar radiation accumulated value that Rad is annual 365 days, i.e. total solar radiation year value, MJ/m2;According to Rad's
Size carries out solar radiation suitability degree index SSI_RadAssignment;
It is carried out as follows based on day highest, the evaluation of the temperature of the lowest temperature:
Using the region many years terrestrial climate data earning in a day data set day highest, the lowest temperature calculate following index: Nian Junwen
Tav, >=20 DEG C of accumulated temperature Tt, average annual accumulated temperature Tm and daily temperature range Tr;It is carried out respectively according to Tav, Tt, Tm, Tr size
Proper temperature degree index SSI_Tav、SSI_Tt、SSI_TmAnd SSI_TrAssignment;
Annual precipitation evaluation based on intra day ward is carried out as follows:
Annual precipitation Pre is calculated using the intra day ward of the region many years terrestrial climate data earning in a day data set, according to Pre size
Into annual precipitation suitability degree index SSI_PreAssignment;
Step (2), soil liquid manure condition evaluating
Soil liquid manure condition evaluating includes soil moisture evaluation and fertility evaluation, wherein soil moisture evaluation are as follows: to locality
Sugarcane district typical soil is sampled, depth selection 0-60cm, and measurement soil field is held and wilting moisture and to calculate soil effective
Water content SAW carries out soil moisture suitability degree index SSI according to SAW size_SAWAssignment;Fertility evaluation are as follows: to sugarcane district allusion quotation
Type soil is sampled, depth selection 0-20cm, and the measurement soil organism, full nitrogen, alkali-hydrolyzable nitrogen, rapid available phosphorus and available potassium contain
Amount, is classified according to sugarcane district classification for soil nutrition standard, carries out soil nutrient suitability degree index according to classification situation SNL
SSI_SNLAssignment;
Step (3), sugarcane production Potential Evaluation
Sugarcane production Potential Evaluation includes: planting scale evaluation and cane yield evaluation;Wherein, planting scale is evaluated are as follows: is collected
The nearly 3 years sugarcane acreage data in the region, by the long-term sugarcane acreage SPA of mean value calculation, according to SPA size into
Row planting scale suitability degree SSI_SPAAssignment;Cane yield evaluation are as follows: based on local many years terrestrial climate data earning in a day data set
APSIM-Sugar mould is utilized with reference to the related management measure that the high Standard for Sugars metaplasia of sugarcane high-yield produces with sugarcane district soil liquid manure condition
The many years of the quasi- local sugarcane main breed of pattern be averaged cane yield TCH, according to TCH size progress cane yield suitability degree
SSI_TCHAssignment;
Step (4) is based on comprehensive suitability degree index zoning cane planting
The comprehensive suitability degree index CSI of sugarcane production is calculated as follows:
,
Wherein, SSI_Rad、SSI_Tav、SSI_Tt、SSI_Tm、SSI_Tr、SSI_Pre、SSI_SAW、SSI_SNL、SSI_SPA、SSI_TCH
It is followed successively by total solar radiation year value, Nian Junwen, >=20 DEG C of accumulated temperature, average annual accumulated temperature, daily temperature range, annual rainfalls
Amount, the individual event suitability degree assignment of Available sulfur content, soil nutrient grade, planting scale, cane yield;When 1≤CSI≤
When 2, which is sugarcane production the most suitable region;As 2 < CSI≤3, which is sugarcane production Suitable Area;When 3 < CSI≤5
When, which is sugarcane production time Suitable Area.
2. the cane planting zoning method according to claim 1 based on comprehensive suitability degree index, it is characterised in that: step
(1) in, a and b default value are respectively 0.25 and 0.5, or are corrected using formula (3) and formula (4) to a and b value:
a = 1.57×10-5×H + 0.1705 (3);
b = 2.01×10-5×H + 0.5416 (4);
In formula, H is local height above sea level, m.
3. the cane planting zoning method according to claim 1 based on comprehensive suitability degree index, it is characterised in that: step
(1) in, when Rad >=5000, SSI_Rad=1;When 5000 > Rad >=4000, SSI_Rad=3;When Rad < 4000, SSI_Rad=5;
When Tav >=20, SSI_Tav=1;When 20 > Tav >=15, SSI_Tav=3;When Tav < 15, SSI_Tav=5, Tav unit are DEG C;
When Tt >=5000, SSI_Tt=1;When 5000 > Tt >=3000, SSI_Tt=3;When Tt < 3000, SSI_Tt=5, Tt unit is
℃·d;
When Tm >=-2, SSI_Tm= 1;When -4≤Tm < -2, SSI_Tm= 3;When Tm < -4, SSI_Tm=5, Tm unit are DEG C;
When Tr >=12, SSI_Tr=1;When 12 > Tr >=10, SSI_Tr= 3;When Tr < 10, SSI_Tr=5, Tr unit are DEG C;
When 1500≤Pre≤2000, SSI_Pre=1;1000≤Pre < 1500 or when 2000 < Pre≤2500, SSI_Pre=3;Pre>
When 2500 or Pre < 1000, SSI_Pre=5;Pre unit is mm.
4. the cane planting zoning method according to claim 1 based on comprehensive suitability degree index, it is characterised in that: step
(2) in, when SAW >=20, SSI_SAW=1;When 20 > SAW >=10, SSI_SAW=3;When SAW < 10, SSI_SAW=5;SAW unit is %;
SNL=1-2 is high nutrient soil, SSI_SNL=1;SNL=3 are middle nutrient soil, SSI_SNL=3;SNL=4-6 is low nutrient soil,
SSI_SNL=5。
5. the cane planting zoning method according to claim 1 based on comprehensive suitability degree index, it is characterised in that: step
(3) in, when SPA >=20000, SSI_SPA=1;When 20000 > SPA >=10000, SSI_SPA=3;When SPA < 10000, SSI_SPA=5,
SPA unit is hm2;When TCH >=90, SSI_TCH=1;When 90 > TCH >=60, SSI_TCH=3;When TCH < 60, SSI_TCH=5, TCH are mono-
Position is t/hm2。
Priority Applications (3)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201910169954.8A CN109902879B (en) | 2019-03-07 | 2019-03-07 | Sugarcane planting zoning method based on comprehensive suitability index |
PCT/CN2019/091129 WO2020177232A1 (en) | 2019-03-07 | 2019-06-13 | Sugarcane planting zoning method based on comprehensive suitability index |
AU2019432434A AU2019432434B2 (en) | 2019-03-07 | 2019-06-13 | Sugarcane planting zoning method based on comprehensive suitability index |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201910169954.8A CN109902879B (en) | 2019-03-07 | 2019-03-07 | Sugarcane planting zoning method based on comprehensive suitability index |
Publications (2)
Publication Number | Publication Date |
---|---|
CN109902879A true CN109902879A (en) | 2019-06-18 |
CN109902879B CN109902879B (en) | 2022-11-08 |
Family
ID=66946432
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201910169954.8A Active CN109902879B (en) | 2019-03-07 | 2019-03-07 | Sugarcane planting zoning method based on comprehensive suitability index |
Country Status (3)
Country | Link |
---|---|
CN (1) | CN109902879B (en) |
AU (1) | AU2019432434B2 (en) |
WO (1) | WO2020177232A1 (en) |
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111539594A (en) * | 2020-03-16 | 2020-08-14 | 武汉东湖大数据交易中心股份有限公司 | Wine-making grape producing area evaluation system based on wind soil environment and evaluation method thereof |
CN116611613A (en) * | 2023-05-12 | 2023-08-18 | 中国科学院地理科学与资源研究所 | Special industry comprehensive service platform based on big data |
CN117557399A (en) * | 2024-01-11 | 2024-02-13 | 四川省农村经济综合信息中心 | Salvia miltiorrhiza growth proper distribution area analysis system and analysis method thereof |
Families Citing this family (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113435667B (en) * | 2021-07-22 | 2023-10-13 | 河海大学 | Comprehensive evaluation method and system for water resource utilization in paddy field irrigation and drainage mode |
CN113624709B (en) * | 2021-07-26 | 2024-04-09 | 广西壮族自治区农业科学院 | Sugarcane nitrogen efficiency difference idioplasm liquid screening system and method |
CN114062659A (en) * | 2021-11-23 | 2022-02-18 | 中国农业科学院烟草研究所 | Tobacco planting soil fertility evaluation method based on ecological chemometrics |
CN114254964B (en) * | 2022-03-01 | 2022-05-17 | 北京市农林科学院信息技术研究中心 | Rice regional climate quality assessment method and system |
CN115293664B (en) * | 2022-10-10 | 2022-12-02 | 中国科学院地理科学与资源研究所 | GIS-based detailed evaluation method for production suitability of agriculture and animal husbandry at county level of oasis |
CN116823576B (en) * | 2023-06-30 | 2023-12-26 | 北京极嗅科技有限公司 | Evaluation method and system for plant suitable area of original drug |
CN117474392B (en) * | 2023-10-30 | 2024-05-03 | 北京香田智能科技有限公司 | Grower potential analysis system |
Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US7184892B1 (en) * | 2003-01-31 | 2007-02-27 | Deere & Company | Method and system of evaluating performance of a crop |
CN104517030A (en) * | 2014-11-06 | 2015-04-15 | 北京师范大学 | Extraction method for artificial grassland growth suitable region |
CN104899786A (en) * | 2015-05-13 | 2015-09-09 | 中国农业大学 | Corn variety planting suitability fine dividing method and system thereof |
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 |
-
2019
- 2019-03-07 CN CN201910169954.8A patent/CN109902879B/en active Active
- 2019-06-13 WO PCT/CN2019/091129 patent/WO2020177232A1/en active Application Filing
- 2019-06-13 AU AU2019432434A patent/AU2019432434B2/en active Active
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US7184892B1 (en) * | 2003-01-31 | 2007-02-27 | Deere & Company | Method and system of evaluating performance of a crop |
CN104517030A (en) * | 2014-11-06 | 2015-04-15 | 北京师范大学 | Extraction method for artificial grassland growth suitable region |
CN104899786A (en) * | 2015-05-13 | 2015-09-09 | 中国农业大学 | Corn variety planting suitability fine dividing method and system thereof |
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 |
Non-Patent Citations (3)
Title |
---|
农万江等: "乐业县种植猕猴桃的气候适宜性分析及其区划", 《云南地理环境研究》 * |
苏永秀等: "基于GIS的广西甘蔗种植气候区划", 《中国农业气象》 * |
谢国雪等: "基于地块单元的甘蔗种植适宜性评价", 《南方农业学报》 * |
Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111539594A (en) * | 2020-03-16 | 2020-08-14 | 武汉东湖大数据交易中心股份有限公司 | Wine-making grape producing area evaluation system based on wind soil environment and evaluation method thereof |
CN116611613A (en) * | 2023-05-12 | 2023-08-18 | 中国科学院地理科学与资源研究所 | Special industry comprehensive service platform based on big data |
CN117557399A (en) * | 2024-01-11 | 2024-02-13 | 四川省农村经济综合信息中心 | Salvia miltiorrhiza growth proper distribution area analysis system and analysis method thereof |
CN117557399B (en) * | 2024-01-11 | 2024-03-12 | 四川省农村经济综合信息中心 | Salvia miltiorrhiza growth proper distribution area analysis system and analysis method thereof |
Also Published As
Publication number | Publication date |
---|---|
AU2019432434B2 (en) | 2022-02-24 |
AU2019432434A1 (en) | 2020-11-19 |
CN109902879B (en) | 2022-11-08 |
WO2020177232A1 (en) | 2020-09-10 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN109902879A (en) | Cane planting zoning method based on comprehensive suitability degree index | |
Thidar et al. | Mulching improved soil water, root distribution and yield of maize in the Loess Plateau of Northwest China | |
Li et al. | Simulation of cotton growth and soil water content under film-mulched drip irrigation using modified CSM-CROPGRO-cotton model | |
Feng et al. | Water requirements and irrigation scheduling of spring maize using GIS and CropWat model in Beijing-Tianjin-Hebei region | |
Li et al. | Effects of irrigation and straw mulching on microclimate characteristics and water use efficiency of winter wheat in north chinas | |
min Liang et al. | Improvements of emergence and tuber yield of potato in a seasonal spring arid region using plastic film mulching only on the ridge | |
Zheng et al. | Ridge-furrow plastic mulching with a suitable planting density enhances rainwater productivity, grain yield and economic benefit of rainfed maize | |
Hatfield et al. | Microclimate effects of crop residues on biological processes | |
CN110447365B (en) | Rice field water and fertilizer optimization method | |
Ali et al. | Deep soil water deficit and recovery in alfalfa fields of the Loess Plateau of China | |
CN112042353A (en) | Water and fertilizer accurate decision method and system suitable for sunlight greenhouse | |
Sepaskhah et al. | Developing a dynamic yield and growth model for saffron under different irrigation regimes | |
CN110999615A (en) | Nitrogen application quantity optimization model for potato field drip irrigation on north foot of inner Mongolia yin mountain and application of model | |
CN113039908A (en) | Dynamic decision-making method and system for fertilization and irrigation | |
CN109258042B (en) | Formula fertilization method for adult camellia oleifera forest | |
CN113269450B (en) | County scale crop resource utilization and environmental effect evaluation method and system | |
Bergamaschi et al. | Estimating maize water requirements using agrometeorological data | |
Xue et al. | Analysis on water use efficiency of Populus euphratica forest ecosystem in arid area | |
Xu et al. | Partitioning evapotranspiration using 18O abundance to understand water use efficiency in maize produced using ridge-furrow mulching system | |
CN102160502B (en) | Method for determining daily fertilizer requirement of greenhouse crop | |
CN117010717A (en) | Water decision method for accurate irrigation of crops based on global uncertainty analysis | |
Bhengra et al. | Calibration and validation study of sugarcane (DSSAT-CANEGRO V4. 6.1) model over North Indian region | |
Liu et al. | CH4 emissions from a double-cropping rice field in subtropical China over seven years | |
Guoyan et al. | Water consumption of seven forage cultivars under different climatic conditions in the North China plain | |
CN109784588A (en) | It is a kind of to be allied the communists the Output of Sorghum prediction technique of monitoring based on sensor |
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 |