CN104460683A - Small unmanned helicopter flying method for preventing and eliminating plant frost damage - Google Patents

Small unmanned helicopter flying method for preventing and eliminating plant frost damage Download PDF

Info

Publication number
CN104460683A
CN104460683A CN201410620814.5A CN201410620814A CN104460683A CN 104460683 A CN104460683 A CN 104460683A CN 201410620814 A CN201410620814 A CN 201410620814A CN 104460683 A CN104460683 A CN 104460683A
Authority
CN
China
Prior art keywords
flying
flight
small
depopulated helicopter
frost
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.)
Pending
Application number
CN201410620814.5A
Other languages
Chinese (zh)
Inventor
胡永光
刘胜忠
鹿永宗
赵臣
吴文叶
朱霄岚
赵梦龙
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
NANJING FENGGONG AGRICULTURAL SCIENCE AND TECHNOLOGY CO., LTD.
Jiangsu University
Original Assignee
Jiangsu University
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Jiangsu University filed Critical Jiangsu University
Priority to CN201410620814.5A priority Critical patent/CN104460683A/en
Publication of CN104460683A publication Critical patent/CN104460683A/en
Priority to PCT/CN2015/093568 priority patent/WO2016070763A1/en
Pending legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05DSYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D1/00Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots
    • G05D1/0094Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots involving pointing a payload, e.g. camera, weapon, sensor, towards a fixed or moving target
    • AHUMAN NECESSITIES
    • A01AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
    • A01GHORTICULTURE; CULTIVATION OF VEGETABLES, FLOWERS, RICE, FRUIT, VINES, HOPS OR SEAWEED; FORESTRY; WATERING
    • A01G13/00Protecting plants
    • A01G13/06Devices for generating heat, smoke or fog in gardens, orchards or forests, e.g. to prevent damage by frost

Landscapes

  • Life Sciences & Earth Sciences (AREA)
  • Forests & Forestry (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Toxicology (AREA)
  • Environmental Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Aviation & Aerospace Engineering (AREA)
  • Radar, Positioning & Navigation (AREA)
  • Remote Sensing (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Automation & Control Theory (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • Testing Resistance To Weather, Investigating Materials By Mechanical Methods (AREA)

Abstract

The invention discloses a small unmanned helicopter flying method for preventing and eliminating the plant frost damage, and belongs to the field of agro-meteorological disaster control. The small unmanned helicopter flying method is based on analysis of frost prevention principle of an unmanned helicopter, a regression orthogonal experimental design method is used, the relationship between a flying frost prevention effect and all flying parameters is built, and then the frost prevention flying parameters of the unmanned helicopter are determined. Particularly, a three-level regression orthogonal experiment with the three factors of the flying height, flying speed and flying interval time is designed; by analyzing the experiment result, the importance sequence of the factors on the aspect of functions on the frost prevention effect is the flying interval time, the flying height and the flying speed; the relationship between the flying frost prevention effect and all the flying parameters is that y=1.603-0.063x1+0.117x2-0.013x3, and therefore the optimized parameter combination of frost prevention flying is that the flying height is 4.0 m, the flying speed is 6.0 m.s -1, and the flying interval time is 20 min. The small unmanned helicopter flying method for preventing and eliminating the plant frost damage can largely improve the effect of preventing and eliminating the plant frost damage, and can be used for preventing, eliminating and relieving the plant frost damage from late frost.

Description

A kind of flying method of small-sized depopulated helicopter preventing frost damage of plant
Technical field
The present invention relates to agrometeorological hazard Inspect and control field, be specifically related to a kind of technology improving the method for depopulated helicopter preventing frost damage of plant efficiency.
Background of invention
Tealeaves, as a kind of important specialty economies crop of China, has the ecosystem characterization liking warm moisture-proof, but subjects to low temperature stress, mainly plant the Subtropical hill mountain area on the south the Changjiang river.In recent years, China's tealeaves main producing region is attacked by Spring frost continuously in 3 ~ April, lose great.Traditional practice of frost protection has covering, sootiness, heats, pours water, but effect is poor; The frost prevention technology such as water spray and overhead blower fan, because its antifrost effect is obvious, automaticity is high, production obtain certain applications.Overhead frost prevention blower fan according to type size, frost prevention areal extent 1 ~ 4hm 2not etc., but its installation is not mostly fixed to mu, and frost prevention scope is also substantially fixing, is not suitable for low cost large-scale application, and frost preventing machine only uses during cold spell in later spring, causes anniversary utilization rate low.For this reason, one moveable frost preventing machine in tea ridge arises at the historic moment, and obviously it is difficult to be applicable to hilly upland or mountain region.So, a kind of by the restriction of Hills landform less, the method for moveable extensive frost prevention method and depopulated helicopter preventing frost damage of plant has just been born.
Inversion layer is generally present in the certain altitude range in distance ground, and depopulated helicopter rotor is also subject to the restriction of its flying height to the flow perturbation on ground simultaneously, therefore flying height is one of important parameter of depopulated helicopter frost prevention flight.In addition, the size of flying speed and the length of flight interval time also affect the effect of flight frost prevention, efficiency and cost.
Therefore study and how to determine that depopulated helicopter frost prevention flight parameter then has important practice significance, so the invention provides a kind of method determining depopulated helicopter preventing frost damage of plant flight parameter.
Summary of the invention
The object of the present invention is to provide a kind of flying method of small-sized depopulated helicopter preventing frost damage of plant, while guaranteeing to adapt to Hills landform restriction, realize the optimal combination of flight parameter, to improve the effect of small-sized depopulated helicopter preventing frost damage of plant, avoid depopulated helicopter blindly to repeat flight, reduce the depopulated helicopter frost prevention cost of unit area simultaneously.
In order to solve above technical matters, the present invention utilizes Regressive Orthogonal Design method, devises with flying height, flying speed and the flight interval time Regression Orthogonal Experiment that is Three factors-levels; By the analysis to test findings, determine that the effect primary and secondary order of each factor to antifrost effect is followed successively by flight interval time, flying height, flying speed; Set up the relation between flight antifrost effect and each factor.Concrete technical scheme of the present invention is as follows:
A flying method for small-sized depopulated helicopter preventing frost damage of plant, is characterized in that: by the flying height to small-sized depopulated helicopter, flying speed and the flight parameter optimal combination of flight interval time, improves the effect of preventing frost damage of plant;
Described small-sized depopulated helicopter is as follows at the flight parameter combinations in overhead, botanical garden: flying height is 4m, and flying speed is 6ms -1, the flight interval time is 20min.
Described parameter optimization combined method is realized by following steps:
Step one, designs and implements with flying height, flying speed and the flight interval time Regression Orthogonal Experiment that is factor;
Step 2, according to the test figure of step one, the relation equation set up between flight antifrost effect and each described factor is:
Y=1.603-0.063x 1+ 0.117x 2-0.013x 3, wherein x 1, x 2and x 3be respectively flying height, flying speed and flight interval time; Y is temperature rise, that is flight antifrost effect.
Step 3, is optimized the equation in described step 2 and solves, and obtains small-sized depopulated helicopter in the flight parameter optimal combination in overhead, botanical garden to be: flying height is 4m, and flying speed is 6ms -1, the flight interval time is 20min.
The main rotor diameter of described small-sized depopulated helicopter is 2.1m, and maximum flying weight is 35kg.
Described plant is any one in tea tree, apple tree, cherry tree, pear tree, peach, orange tree.
Principle of work of the present invention: generally, in near-earth atmosphere convection layer, temperature reduces along with the increase of height, but when cold spell in later spring late frost occurs, in certain altitude range, temperature but raises along with the increase of height, and this phenomenon is inversion.The present invention uses unmanned helicopter flight above inversion layer, by its rotor by below top comparatively warm air forced convertion to inversion layer, to improve tea tree canopy surface temperature, thus avoids or alleviates frost damage; By determining the most optimized parameter combination that depopulated helicopter frost prevention is flown, to improve the frost protection effect of unmanned helicopter flight.
The present invention has beneficial effect: the present invention carries out frost prevention flight by setting optimization frost prevention flight parameter combinations, improve the efficiency of depopulated helicopter preventing frost damage of plant, make plant canopy temperature improve 55% of inversion difference between flying height and earth's surface, reduce the depopulated helicopter frost prevention cost of unit area; In addition effectively can tackling the reasons such as the remote information delay in district to have little time to take practice of frost protection as laid the emergency case of frost prevention blower fan etc. ahead of time, avoiding the heavy economic losses overnight brought by heavy frostbite.
Accompanying drawing explanation
Fig. 1 is depopulated helicopter frost prevention schematic diagram of the present invention;
Fig. 2 is that near-earth temperature test point of the present invention arranges schematic diagram;
Fig. 3 is that tea place of the present invention near-earth temperature changes in time.
Embodiment
Below in conjunction with accompanying drawing, technical scheme of the present invention is described in further details.
Method of the present invention as shown in Figure 1, uses unmanned helicopter flight above inversion layer, by its rotor by below top comparatively warm air forced convertion to inversion layer, to improve tea tree canopy surface temperature, thus avoids or alleviate frost damage.
For tea tree garden and tea place frost prevention
Facilities and equipments condition: test to step spring tea field (north latitude 32 ° of 01'35 "; east longitude 119 ° of 40'21 ", sea level elevation 18.5m, belongs to level land, hills) in Danyang, Jiangsu Province on March 13rd ~ 14,2014 and carry out, supply examination tea tree breed to be turtledove hole, the age of tree is about 20a.The major equipment that test uses and instrument have: CD-10 type small-sized plant protection depopulated helicopter, its rotor diameter 2100mm, flying speed scope 0 ~ 8ms -1, maximum flying weight 35kg; KIMO hot-wire anemometer, configures 5 unidirectional probe STV-150, measuring wind speed error be full scale ± 3%; ZDR-3W1S moisture recorder, measurement range-40 ~ 100 DEG C, precision is ± 0.5 DEG C; Be the use of the portable wind gage of NK4000 in addition, measuring accuracy ± 0.1ms -1, measurement range 0.4 ~ 40.0ms -1.
Test method
For seeking the reasonable flight parameter of depopulated helicopter tea place frost prevention, be not subject to the place of unmanned helicopter flight interference, laying temperature sensor, ambient temperature change during record test; The linear regression orthogonal experiment that design is Three factors with flying height, flying speed and interval time.
Background inversion testing experiment
This is tested and carries out morning evening to next day on March 13rd, 2014.Be not subject to any region affected of helicopter frost prevention flight, vertical ground places the column of a long 15.0m as shown in Figure 2, and from apart from ground 0.2m on column, arranges 1 ZDR-3W1S humiture registering instrument every 2.0m, layout 9 measuring points, set its every 10min and record 1 temperature altogether.
The Regression Orthogonal Experiment of depopulated helicopter frost prevention flight
From unmanned helicopter flight frost prevention principle analysis, the factor affecting its antifrost effect mainly contains: flying height, flying speed, flight interval time.Here the variation range of selected above-mentioned three factors respectively: flying height 4.0 ~ 10.0m, flying speed 1.0 ~ 6.0ms -1, interval time 20 ~ 50min.For determining that each factor affects the primary and secondary order of antifrost effect, and set up the relation between flight antifrost effect and each factor, thus determine the Optimal Parameters combination that frost prevention is flown, intend adopting linear regression orthogonal experiment design.
Each level of flying height, flying speed, flight interval time 3 factors is encoded, as shown in table 1.
Table 1 factor level coding schedule
Select suitable orthogonal arrage and design experiment, this experimental selection orthogonal arrage L 8(2 7), do not consider the reciprocation between each factor here, the 3 factor Orthogonal Regression table obtained, as shown in table 2.Wherein test sequence number is the experiment of 8,9, No. 10 is arrangement zero level replica test, and object intends checking the precision improving regression equation by losing.
Table 2 orthogonal test scheme
The enforcement of test, processes number by test tea by table 2, is divided into the fritter that 11 sizes are identical; And 6 groups of ZDR-3W1S moisture recorder are placed at the tea tree canopy place managed throughout, gather the temperature variation of the tea tree canopy implemented before and after each process, get the index of test of temperature rise mean value as this process.All tests process between 13 ~ 14 days March in 2014 and occur that frost is rear night and implement.
Experimental result and analysis
The dynamic change of test background inversion
Duration of test nature wind speed is less, at 0 ~ 0.2ms -1change in scope, lowest temperature reaches-1.1 DEG C, occurs with the slight Frost's Descent.Be not subject to any region affected of helicopter flight, temperature Change as shown in Figure 3.Post sunset temperature declines rapidly, 17:00 inversion start formed, until morning 6:00, after this because sunrise temperature rises rapidly, about 7:00 inversion disappear.In 22:00 ~ 5:30 period, tea tree canopy place temperature is down to less than 0 DEG C, and site observation has frost to generate.In 18:00 ~ 7:00 period, in the altitude range of 0 ~ 14m, there is inversion lamination, maximum inversion is worse than 21:00 and occurs, is 5.9 DEG C.Frost prevention flight test is carried out between 4:40 ~ 5:50, and now the temperature difference of ground and liftoff 14.0m eminence is 3.8 DEG C.
Flight frost prevention Regression Orthogonal Experiment result
One, the test findings after 11 flight process is implemented, in table 3.
Table 3 flies frost prevention test findings
The regression coefficient being calculated known equation (1) by table 3 is: b 0=1.007, b 1=-0.188, b 2=0.175, b 3=-0.193
Therefore there is following relation between temperature rise and each flight parameter after flight:
y=1.007-0.188Z 1+0.175Z 2-0.193Z 3(1)
Wherein Z 1, Z 2, Z 3be respectively flying height, flying speed, flight interval time corresponding encoded radio.According to coding formula, can obtain: Z 1 = x 1 - 7 3 , Z 2 = x 2 - 2.5 1.5 , Z 3 = x 3 - 35 15 .
From this regression equation partial regression coefficient order of magnitude, the primary and secondary order of each factor impact is: x 3>x 1>x 2, i.e. flight interval time > flying height > flying speed.
Two, regression equation significance test
The results of analysis of variance carried out to regression equation as shown in table 4.
Table 4 variance analysis
Note: F 0.1(1,7)=3.59, F 0.05(1,7)=5.59, F 0.05(3,7)=4.35
Each statistic in table 4 is as follows:
F 1=6.432>F 0.05
F 2=5.568>F 0.1
F 3=6.773>F 0.05
F return=6.250>F 0.05(3,7)
From assay, all there are appreciable impact flying height, flying speed, flight interval time to temperature rise index, and the equation set up is significant.
Will Z 1 = x 1 - 7 3 , Z 2 = x 2 - 2.5 1.5 , Z 3 = x 3 - 35 15 Substitution formula (1) obtains the equation of natural variable:
y=1.603-0.063x 1+0.117x 2-0.013x 3(2)
Three, equation loses the property intended inspection
By to the error of 3 zero level tests and the calculating of mistake matching quadratic sum, finally obtain F lf=8.093.
Due to F lf=8.093<F 0.1(5,2)=9.33, therefore it is remarkable to lose plan, regression model and actual conditions matching obtain very well.Therefore, in depopulated helicopter frost prevention process, the available formula of the impact of each flight parameter on antifrost effect (2) represents.
Four, equation Optimization Solution
In order to obtain best flight parameter combinations, adopt single factor test Changli Golden Beach nature preserve, namely calculated by MATLAB Programming with Pascal Language, be optimized regression equation (2) and solve, final optimization pass result is:
Work as x 1=4.0, x 2=6.0, x 3when=20, maximal value y=1.8, namely when flying height be 4.0m, flying speed is 6.0m.s -1during flight interval time 20min, after flight, temperature rise is 1.8 DEG C to the maximum.
Experimental result shows, utilizes flight parameter combinations of the present invention to carry out flight and has better antifrost effect.

Claims (4)

1. a flying method for small-sized depopulated helicopter preventing frost damage of plant, is characterized in that: by the flying height to small-sized depopulated helicopter, flying speed and the flight parameter optimal combination of flight interval time, improves the effect of preventing frost damage of plant;
Described small-sized depopulated helicopter is as follows at the flight parameter combinations in overhead, botanical garden: flying height is 4m, and flying speed is 6ms -1, the flight interval time is 20min.
2. the flying method of a kind of small-sized depopulated helicopter preventing frost damage of plant according to claim 1, is characterized in that described parameter optimization combined method is realized by following steps:
Step one, designs and implements with flying height, flying speed and the flight interval time Regression Orthogonal Experiment that is factor;
Step 2, according to the test figure of step one, the relation equation set up between flight antifrost effect and each described factor is:
Y=1.603-0.063x 1+ 0.117x 2-0.013x 3, wherein x 1, x 2and x 3be respectively flying height, flying speed and flight interval time; Y is temperature rise, that is flight antifrost effect;
Step 3, is optimized the equation in described step 2 and solves, and obtains small-sized depopulated helicopter in the flight parameter optimal combination in overhead, botanical garden to be: flying height is 4m, and flying speed is 6ms -1, the flight interval time is 20min.
3. the flying method of a kind of small-sized depopulated helicopter preventing frost damage of plant according to claim 1, is characterized in that: the main rotor diameter of described small-sized depopulated helicopter is 2.1m, and maximum flying weight is 35kg.
4. the flying method of a kind of small-sized depopulated helicopter preventing frost damage of plant according to claim 1, is characterized in that: described plant is any one in tea tree, apple tree, cherry tree, pear tree, peach, orange tree.
CN201410620814.5A 2014-11-06 2014-11-06 Small unmanned helicopter flying method for preventing and eliminating plant frost damage Pending CN104460683A (en)

Priority Applications (2)

Application Number Priority Date Filing Date Title
CN201410620814.5A CN104460683A (en) 2014-11-06 2014-11-06 Small unmanned helicopter flying method for preventing and eliminating plant frost damage
PCT/CN2015/093568 WO2016070763A1 (en) 2014-11-06 2015-11-02 Method for flying small unmanned helicopter to prevent and eliminate frost damage to plants

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201410620814.5A CN104460683A (en) 2014-11-06 2014-11-06 Small unmanned helicopter flying method for preventing and eliminating plant frost damage

Publications (1)

Publication Number Publication Date
CN104460683A true CN104460683A (en) 2015-03-25

Family

ID=52906903

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201410620814.5A Pending CN104460683A (en) 2014-11-06 2014-11-06 Small unmanned helicopter flying method for preventing and eliminating plant frost damage

Country Status (2)

Country Link
CN (1) CN104460683A (en)
WO (1) WO2016070763A1 (en)

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2016070763A1 (en) * 2014-11-06 2016-05-12 江苏大学 Method for flying small unmanned helicopter to prevent and eliminate frost damage to plants
CN106069415A (en) * 2016-05-31 2016-11-09 江苏大学 A kind of agricultural frost prevention group of planes method for arranging
CN111758465A (en) * 2020-07-11 2020-10-13 浙江极客桥智能装备股份有限公司 Tea frost prevention method and system based on unmanned aerial vehicle

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US3067541A (en) * 1960-10-10 1962-12-11 American Liquid Gas Corp Agricultural method and apparatus for heating, treating, and circulating air
US4644683A (en) * 1985-07-12 1987-02-24 Jones Darrell R Method and apparatus for enhancing the pollination of alfalfa
CN101360418A (en) * 2005-11-23 2009-02-04 先锋高级育种国际公司 Device and method for screening a plant population for wind damage resistance traits
CN203053592U (en) * 2013-01-23 2013-07-10 南京信息工程大学 Tobacco leaf anti-frost wireless temperature data acquisition system based on ARM system
CN203735184U (en) * 2014-01-27 2014-07-30 中国农业科学院茶叶研究所 Anti-frost smoke generator based on tea garden

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104460683A (en) * 2014-11-06 2015-03-25 江苏大学 Small unmanned helicopter flying method for preventing and eliminating plant frost damage

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US3067541A (en) * 1960-10-10 1962-12-11 American Liquid Gas Corp Agricultural method and apparatus for heating, treating, and circulating air
US4644683A (en) * 1985-07-12 1987-02-24 Jones Darrell R Method and apparatus for enhancing the pollination of alfalfa
CN101360418A (en) * 2005-11-23 2009-02-04 先锋高级育种国际公司 Device and method for screening a plant population for wind damage resistance traits
CN203053592U (en) * 2013-01-23 2013-07-10 南京信息工程大学 Tobacco leaf anti-frost wireless temperature data acquisition system based on ARM system
CN203735184U (en) * 2014-01-27 2014-07-30 中国农业科学院茶叶研究所 Anti-frost smoke generator based on tea garden

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
胡永光等: "茶园无人直升机防霜试验研究", 《沈阳农业大学学报》 *
韩冰: "基于改进正交试验设计的飞行轨道参数优化", 《科学技术与工程》 *

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2016070763A1 (en) * 2014-11-06 2016-05-12 江苏大学 Method for flying small unmanned helicopter to prevent and eliminate frost damage to plants
CN106069415A (en) * 2016-05-31 2016-11-09 江苏大学 A kind of agricultural frost prevention group of planes method for arranging
CN111758465A (en) * 2020-07-11 2020-10-13 浙江极客桥智能装备股份有限公司 Tea frost prevention method and system based on unmanned aerial vehicle

Also Published As

Publication number Publication date
WO2016070763A1 (en) 2016-05-12

Similar Documents

Publication Publication Date Title
Vargas et al. Diel patterns of soil respiration in a tropical forest after Hurricane Wilma
Bromwich et al. Comprehensive evaluation of polar weather research and forecasting model performance in the Antarctic
Xu et al. Precipitation trends and variability from 1950 to 2000 in arid lands of Central Asia
Zhang et al. Interaction of aerodynamic roughness length and windflow conditions and its parameterization over vegetation surface
Yamaguchi et al. Real-time weather analysis reveals the adaptability of direct sea-crossing by raptors
Deshcherevskaya et al. Modern climate of the Cát Tiên National Park (Southern Vietnam): climatological data for ecological studies
CN104331639B (en) A kind of soil moisture content indirect gain and fast appraisement method
Nandintsetseg et al. Land surface memory effects on dust emission in a Mongolian temperate grassland
CN101419219A (en) Method for determining evapotranspiration rate of referential crops
CN106199627A (en) Grassland vegetation parameter acquiring method
CN104460683A (en) Small unmanned helicopter flying method for preventing and eliminating plant frost damage
Vareed Joseph et al. Variability of summer monsoon rainfall in India on inter-annual and decadal time scales
Zulueta et al. Aircraft regional-scale flux measurements over complex landscapes of mangroves, desert, and marine ecosystems of Magdalena Bay, Mexico
Hannan et al. Role of wave cyclones in transporting boundary layer air to the free troposphere during the spring 2001 NASA/TRACE‐P experiment
Zhu et al. Relative soil moisture in China’s farmland
RU2014141478A (en) METHOD FOR TAKING SOIL SAMPLES FOR AGROCHEMICAL ANALYSIS BY DISTANCES ALONG A SMALL RIVER AND TRANSVERSE FROM A WATER CUT
Brown et al. Mapping the Mid-Atlantic Cold Pool evolution and variability with ocean gliders and numerical models
Fischer et al. Seasonal cycle in German daily precipitation extremes
CN103218532B (en) Green water flow estimation method and device
Zong et al. Evaluation and analysis of RegCM3 simulated summer rainfall over the Huaihe River basin of China
Jin et al. Coastal environment of the past millennium recorded by a coastal dune in Fujian, China
CN105678277A (en) Method for carrying out land surface temperature inversion by utilizing salinity satellite K-waveband brightness temperature data
Wei et al. Simulating alpine vegetation net primary productivity by remote sensing in Qinghai Province, China
CN103017696A (en) Method for measuring single wood accumulating volume based on curve simulation
Halsted et al. Rapid southeastern Laurentide Ice Sheet thinning during the last deglaciation revealed by elevation profiles of in situ cosmogenic 10Be

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
C41 Transfer of patent application or patent right or utility model
TA01 Transfer of patent application right

Effective date of registration: 20151204

Address after: Tang Lu Honglan town Lishui District Nanjing City, Jiangsu Province, China 211219 (Industrial Park)

Applicant after: NANJING FENGGONG AGRICULTURAL SCIENCE AND TECHNOLOGY CO., LTD.

Applicant after: Jiangsu University

Address before: 212013 Zhenjiang City, Jiangsu Province University Road, No. 301

Applicant before: Jiangsu University

CB02 Change of applicant information

Address after: 212013 Zhenjiang City, Jiangsu Province University Road, No. 301

Applicant after: Jiangsu University

Applicant after: NANJING FENGGONG AGRICULTURAL SCIENCE AND TECHNOLOGY CO., LTD.

Address before: Tang Lu Honglan town Lishui District Nanjing City, Jiangsu Province, China 211219 (Industrial Park)

Applicant before: NANJING FENGGONG AGRICULTURAL SCIENCE AND TECHNOLOGY CO., LTD.

Applicant before: Jiangsu University

COR Change of bibliographic data
WD01 Invention patent application deemed withdrawn after publication
WD01 Invention patent application deemed withdrawn after publication

Application publication date: 20150325