CN109856362A - A kind of influence recognition methods of the flood stain event to crops soil body unit Carbon flux - Google Patents
A kind of influence recognition methods of the flood stain event to crops soil body unit Carbon flux Download PDFInfo
- Publication number
- CN109856362A CN109856362A CN201811450583.2A CN201811450583A CN109856362A CN 109856362 A CN109856362 A CN 109856362A CN 201811450583 A CN201811450583 A CN 201811450583A CN 109856362 A CN109856362 A CN 109856362A
- Authority
- CN
- China
- Prior art keywords
- body unit
- soil body
- crops
- flux
- stain
- 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
Links
Classifications
-
- 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
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/80—Management or planning
- Y02P90/84—Greenhouse gas [GHG] management systems
Landscapes
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The present invention discloses a kind of influence recognition methods of flooded stain event to crops soil body unit Carbon flux comprising carries out flooded stain scene respectively to crops different growing soil body unit and is arranged；Under the different flooded stain scene background scenes of crops different growing, the CO of soil body unit different periods is measured2Concentration；According to measured CO2Concentration calculates crops soil body unit CO2Flux, draw under crops different growing, different flooded stain scene with natural conditions soil body unit CO2Variations of flux trend curve；Two kinds of curves of comparative analysis, quantification identify influence of the flooded stain event to crops soil body unit Carbon flux.This method pays close attention to CO2Flux contains the discharge and absorption process of soil body unit, can determine whether crops soil body unit carbon source/carbon remittance problem, and then provide scientific support for research farmland ecosystem carbon source/carbon remittance problem.
Description
Technical field
Influence the present invention relates to flooded stain event to farmland ecosystem Carbon flux identifies field, and in particular to a kind of flood stain
Influence recognition methods of the event to crops soil body unit Carbon flux.
Background technique
Farmland is the important component of Terrestrial Ecosystem Carbon Cycle.Farmland ecosystem CO2Flux research is to inquire into
The important content of terrestrial ecosystems " carbon source " and " carbon remittance " transformation, farmland ecosystem CO2Flux mainly includes CO2Absorption
And discharge, the former relates generally to photosynthesis；The latter includes crop and soil respiration process.
Flood, stain event influence soil carbon source/remittance conversion process by influencing Soil Respiration, and then restrict farmland
The carbon storage capacity of ecosystem carbon storehouse.Previous research lays particular emphasis on large-scale model simulation or remote-sensing inversion, the scale in experimental plot
Analysis on Mechanism research is less.
Based on this, need, in field scale, to carry out flooded stain event to farmland ecosystem using soil body unit as research object
The influence of Carbon balance is studied.
Summary of the invention
A kind of influence recognition methods the object of the present invention is to provide flooded stain event to crops soil body unit Carbon flux, it is right
Than under analysis crops different growing, different flooded stain scene with natural conditions soil body unit CO2Variations of flux trend curve, it is fixed
Quantization identifies influence of the flooded stain event to crops soil body unit Carbon flux, can determine whether that crops soil body unit carbon source/carbon remittance is asked
Topic, and then scientific support is provided for research farmland ecosystem carbon source/carbon remittance problem.
In order to achieve the above object of the invention, the technical solution adopted by the present invention are as follows: provide a kind of flooded stain event to crops
The influence recognition methods of soil body unit Carbon flux comprising:
S1: flood is carried out respectively to crops different growing soil body unit, stain scene is arranged；
S2: under the different flooded stain scenes of crops different growing, the CO of soil body unit different periods is measured2Concentration；
S3: according to measured CO2Concentration calculates crops soil body unit CO2Flux, drafting crops different growing,
Under different flood stain scenes with natural conditions soil body unit CO2Variations of flux trend curve；
S4: two kinds of curves of comparative analysis, quantification identify influence of the flooded stain event to crops soil body unit Carbon flux；
Further, the specific steps of the S1 are as follows: the soil body unit of the entire growth period different growing of crops is distinguished
Carry out flood, the setting of stain scene.
Further, the soil body unit (experimental plot) is equipped with 21 altogether, wherein 3 are check plot.Cell size is
2m × 2m, cell ridge about 25cm, using random arrangement, two minizones are stayed the buffer area of 50cm, are spaced from each other with sheetmetal, with
Just test observation and lateral exchange of moisture between cell is prevented.
Further, the flood, the setting of stain scene, specifically: there are ponding in setting field, and depth of accumulated water reaches test agriculture
The resistance to waterflooding depth that crop allows is that flooded (depth of accumulated water 1-2cm or so between such as Soil Development in Huaibei Plain winter wheat field) is flood；Be arranged field without
Ponding, soil moisture content are more than field capacity, and reaching saturation is stain.
Further, the specific steps of the S2 are as follows: bright using static state under the different flooded stain scenes of crops different growing
The CO of case method measurement crops soil body unit different periods2Concentration.
Further, the different flooded stain scene settings, the resistance to duration of flooding of maximum allowed according to test crops are continued
Waterflooding and accumulated water processing (such as Soil Development in Huaibei Plain winter wheat different growing distinguishes permanent flooding 3d, 5d, accumulated water 5d, 7d, 10d).
Further, the static camera-lucida monitoring method, static camera-lucida are made of transparent organic glass, and camera-lucida is placed in soil
On pedestal in body unit, tested ground mask is got up, keeps air in case to exchange with the external world without any, in closed scene
Under, photosynthesis and respiration in the short time in not influence system.Monitor the CO in camera-lucida in 15min2Concentration variation, often
5min monitors one group of data, calculates the CO in this period by two adjacent groups data2The average value of flux, according to CO2Concentration
Crops soil body unit CO is calculated in variation2Flux.
Further, the specific steps of the S3 are as follows: according to measured CO2Concentration calculates crops soil body unit CO2It is logical
Amount, draw under crops different growing, different flooded stain scene with natural conditions soil body unit CO2Variations of flux trend curve；
Further, the crops soil body unit CO2Flux calculation formula are as follows:
Wherein, Q- soil body unit CO2Flux (mgm-2·s-1)；The intracorporal temperature of T- case；M-CO2Molal weight (g
mol-1)；V- static state camera-lucida volume (m3)；CO in Δ C- static state camera-lucida2Concentration variable quantity (ppm)；S- static state camera-lucida is covered
Area (m2)；Δ t- time variation amount.CO2When flux Q is negative value, indicate that soil absorbs CO from atmosphere2, soil is indicated when positive value
Earth discharges CO to atmosphere2。
Further, the specific steps of the S4 are as follows: under comparative analysis crops different growing, different flooded stain scenes and certainly
Right condition soil body unit CO2Variations of flux trend curve, quantification identify flooded stain event to crops soil body unit Carbon flux
It influences；
Further, the change trend curve analyzes crops different growing soil body unit CO2Flux day dimensional variation
Feature monitors the different floods of daily 9:00,13:00 and 17:00, stain scene is arranged under background and natural conditions soil body unit CO2
Concentration.
Detailed description of the invention
Hereinafter it is described more fully with reference to the accompanying drawings some example embodiments of the present invention；However, the present invention can be with
It embodies in different forms, should not be considered limited to embodiments set forth herein.On the contrary, attached drawing illustrates together with specification
Some example embodiments of the present invention, and principle for explaining the present invention and aspect.
In the figure for clarity, size may be exaggerated.Throughout, identical appended drawing reference refers to identical
Element.
Fig. 1 shows schematically flooded stain to crops soil body unit CO2The step of influence recognition methods of flux, is illustrated
Figure.
Fig. 2 shows schematically in the embodiment of the present invention (Soil Development in Huaibei Plain winter wheat) hillslope processes layout diagram.
Fig. 3 shows schematically static camera-lucida schematic diagram.
Fig. 4 show schematically in the embodiment of the present invention under the different floods of Winter Wheat during Grain Filling Stage, stain scene with natural conditions
Soil body unit CO2Variations of flux trend curve.
Wherein, 1-2: the seeding stage floods, accumulated water soil body unit；3-4: tillering stage floods, accumulated water soil body unit；5-6: period of seedling establishment
It floods, accumulated water soil body unit；7-8: the jointing stage floods, accumulated water soil body unit；9-10: boot stage floods, accumulated water soil body unit；11-12: it takes out
Ear period floods, accumulated water soil body unit；13-14: florescence floods, accumulated water soil body unit；15-16: the pustulation period floods, accumulated water soil body unit；
17-18: the maturity period floods, accumulated water soil body unit；19: check plot 1；20: check plot 2；21: check plot 3；22: water pump；
23: flowmeter；24:PVC pipe；25: screwing valve；26: static camera-lucida；27: stainless steel base；28: fan；29:CO2Concentration monitor
Mouthful；30: temperature monitoring mouth；31: flood the 1st day；32: flood the 2nd day；33: flood the 3rd day；34: flood the 4th day；35: flood the 5th day；36: stain
1st day；37: stain the 2nd day；38: stain the 3rd day；39: stain the 4th day；40: stain the 5th day；41: control the 1st day；42: control the 2nd day；
43: control the 3rd day；44: control the 4th day；45: control the 5th day.
Specific embodiment
In the following detailed description, certain exemplary embodiments of the invention are shown simply by the mode of illustration
And description.As the skilled person will recognize, described embodiment can be modified in a variety of ways,
All without departing from the spirit or scope of the present invention.Therefore, scheme and describe to be considered as inherently illustrative, and
It is not limiting.
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Whole description, it is clear that described embodiment is only an embodiment of the present invention, instead of all the embodiments.Based on this
Embodiment in invention, every other reality obtained by those of ordinary skill in the art without making creative efforts
Example is applied, protection scope of the present invention is belonged to.
As shown in Figure 1, the flood stain is to crops soil body unit CO2The influence recognition methods of flux includes:
S1: flood is carried out respectively to crops different growing soil body unit, stain scene is arranged；
S2: under the different flooded stain scenes of crops different growing, the CO of soil body unit different periods is measured2Concentration；
S3: according to measured CO2Concentration calculates crops soil body unit CO2Flux, drafting crops different growing,
Under different flood stain scenes with natural conditions soil body unit CO2Variations of flux trend curve；
S4: two kinds of curves of comparative analysis, quantification identify influence of the flooded stain event to crops soil body unit Carbon flux；
In specific implementation, flood, stain scene are carried out respectively to the soil body unit of the entire growth period different growing of crops
Setting.
Wherein as shown in Fig. 2, soil body unit (experimental plot) is equipped with 21 altogether, wherein 3 are check plot.Cell size
For 2m × 2m, cell ridge about 25cm, using random arrangement, two minizones are stayed the buffer area of 50cm, are spaced from each other with sheetmetal,
So as to test observation and prevent lateral exchange of moisture between cell；
Wherein flood, the setting of stain scene, specifically: there are ponding in setting field, and depth of accumulated water reaches test crops and permits
Perhaps resistance to waterflooding depth is flood, and depth of accumulated water 1-2cm or so is flood between winter wheat field in the embodiment of the present invention；Field is set without product
Water, soil moisture content are more than field capacity, and reaching saturation is stain.
Under the different flooded stain scene setting backgrounds of crops different growing, the crops soil body is measured using static camera-lucida method
The CO of unit different periods2Concentration.
Wherein different flooded stain scene settings include that the resistance to duration of flooding of the maximum allowed according to test crops carries out continuously submerging
It is handled with accumulated water, winter wheat different growing distinguishes permanent flooding 3d, 5d, accumulated water 5d, 7d, 10d in the embodiment of the present invention；
Wherein static camera-lucida monitoring method, static camera-lucida are made of transparent organic glass, and camera-lucida is placed in soil body unit
In pedestal on, tested ground mask is got up, keep in case air with it is extraneous it is any exchange, under closed scene, in short-term
Photosynthesis and respiration in interior not influence system.Monitor the CO in camera-lucida in 15min2Concentration variation, every 5min prison
One group of data is surveyed, calculates the CO in this period by two adjacent groups data2The average value of flux, according to CO2Concentration change meter
Calculation obtains crops soil body unit CO2Flux.
According to measured CO2Concentration calculates crops soil body unit CO2Flux draws crops different growing, no
With under flood stain scene with natural conditions soil body unit CO2Variations of flux trend curve；
Wherein crops soil body unit CO2Flux calculation formula are as follows:
In formula, Q- soil body unit CO2Flux (mgm-2·s-1)；The intracorporal temperature of T- case；M-CO2Molal weight (g
mol-1)；V- static state camera-lucida volume (m3)；CO in Δ C- static state camera-lucida2Concentration variable quantity (ppm)；S- static state camera-lucida is covered
Area (m2)；Δ t- time variation amount.CO2When flux Q is negative value, indicate that soil absorbs CO from atmosphere2, soil is indicated when positive value
Earth discharges CO to atmosphere2。
Under comparative analysis crops different growing, different flooded stain scene with natural conditions soil body unit CO2Variations of flux
Trend curve, quantification identify influence of the flooded stain event to crops soil body unit Carbon flux；
Wherein change trend curve analyzes crops different growing soil body unit CO2Flux day scale variation characteristic, prison
Survey the different floods of daily 9:00,13:00 and 17:00, stain scene is arranged under background and natural conditions soil body unit CO2Concentration.
In conclusion influence recognition methods of the flood stain event provided by the invention to crops soil body unit Carbon flux, is
Under flooded stain scene, farmland ecosystem carbon cycle process is provided fundamental basis, using Carbon flux modeling farmland ecosystem
Carbon budget situation improves its accuracy and reasonability deeply the reason of excavation " carbon, which loses, to converge ".
The foregoing description of the disclosed embodiments enables those skilled in the art to implement or use the present invention.
Various modifications to these embodiments will be readily apparent to those skilled in the art, defined in the present invention
General Principle can be realized in other embodiments without departing from the spirit or scope of the invention.Therefore, the present invention will
It will not be limited and the embodiments shown herein, and be to fit to and principles disclosed herein and novel features phase one
The widest range of cause.
Claims (9)
1. a kind of influence recognition methods of flood stain event to crops soil body unit Carbon flux characterized by comprising
S1: flood is carried out respectively to crops different growing soil body unit, stain scene is arranged；
S2: under the different flooded stain scenes of crops different growing, the CO of soil body unit different periods is measured2Concentration；
S3: according to measured CO2Concentration calculates crops soil body unit CO2Flux draws crops different growing, difference
Under flooded stain scene with natural conditions soil body unit CO2Variations of flux trend curve；
S4: two kinds of curves of comparative analysis, quantification identify influence of the flooded stain event to crops soil body unit Carbon flux.
2. the method according to claim 1, wherein the specific steps of the S1 are as follows: entirely grown to crops
The soil body unit of phase different growing carries out flood, the setting of stain scene respectively.
3. method according to claim 1 or 2, it is characterised in that: the soil body unit is equipped with 21 altogether, wherein 3 are
Check plot, cell size are 2m × 2m, cell ridge about 25cm, and using random arrangement, the buffering of 50cm is stayed in two minizones
Area is spaced from each other with sheetmetal, so as to test observation and prevents horizontal direction exchange of moisture between cell.
4. method according to claim 1 or 2, it is characterised in that: the flood, the setting of stain scene, specifically: setting field
There are ponding, and depth of accumulated water reaches the resistance to waterflooding depth that test crops allow for flood；Field is set without ponding, soil moisture content
More than field capacity, reaching saturation is stain.
5. the method according to claim 1, wherein the specific steps of the S2 are as follows: in crops different bearing
Under phase different flooded stain scene setting backgrounds, the CO of static camera-lucida method measurement crops soil body unit different periods is utilized2Concentration.
6. according to the method described in claim 5, it is characterized in that, the different flooded stain scenes are arranged, according to test crops
The resistance to duration of flooding of the maximum of permission carries out continuously submerging and accumulated water processing.
7. according to the method described in claim 5, it is characterized in that, the static state camera-lucida monitoring method, static camera-lucida is using transparent
Organic glass is made, and camera-lucida is placed on the pedestal in soil body unit, tested ground mask is got up, and keeps in case air and outer
Boundary does not have any exchange, and under closed scene, photosynthesis and respiration in the short time in not influence system monitor camera-lucida
CO in interior 15min2Concentration variation, every 5min monitor one group of data, calculate the CO in this period by two adjacent groups data2
The average value of flux, according to CO2Concentration variation crops soil body unit CO is calculated2Flux.
8. method according to claim 1 or claim 7, which is characterized in that the specific steps of the S3 are as follows: according to measured CO2
Concentration calculates crops soil body unit CO2Flux, draw under crops different growing, different flooded stain scene with natural conditions
Soil body unit CO2Variations of flux trend curve；
The crops soil body unit CO2Flux calculation formula are as follows:
Wherein, Q- soil body unit CO2Flux, mgm-2·s-1；The intracorporal temperature of T- case；M-CO2Molal weight, gmol-1；V-
Static camera-lucida volume, m3；CO in Δ C- static state camera-lucida2Concentration variable quantity, ppm；The area that S- static state camera-lucida is covered, m2；Δt-
Time variation amount,
Wherein work as CO2When flux Q is negative value, indicate that soil absorbs CO from atmosphere2；Wherein work as CO2Soil is indicated when flux Q positive value
Earth discharges CO to atmosphere2。
9. method according to claim 1 or 8, which is characterized in that the specific steps of the S4 are as follows: comparative analysis crops
Under different growing, different flooded stain scene with natural conditions soil body unit CO2Variations of flux trend curve, quantification identify flooded stain
Influence of the event to crops soil body unit Carbon flux；
The change trend curve analyzes crops different growing soil body unit CO2Flux day scale variation characteristic, monitoring is every
The different floods of 9:00,13:00 and 17:00 of day, stain scene is arranged under background and natural conditions soil body unit CO2Concentration.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811450583.2A CN109856362A (en) | 2018-11-30 | 2018-11-30 | A kind of influence recognition methods of the flood stain event to crops soil body unit Carbon flux |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811450583.2A CN109856362A (en) | 2018-11-30 | 2018-11-30 | A kind of influence recognition methods of the flood stain event to crops soil body unit Carbon flux |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN109856362A true CN109856362A (en) | 2019-06-07 |
Family
ID=66890474
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201811450583.2A Pending CN109856362A (en) | 2018-11-30 | 2018-11-30 | A kind of influence recognition methods of the flood stain event to crops soil body unit Carbon flux |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109856362A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113960288A (en) * | 2021-10-28 | 2022-01-21 | 中国石油大学(华东) | Source-sink system quantitative evaluation method |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102047833A (en) * | 2010-09-25 | 2011-05-11 | 长江大学 | Waterlogging simulation test system for rainfed cropland |
| CN105701360A (en) * | 2016-03-02 | 2016-06-22 | 中国科学院寒区旱区环境与工程研究所 | Arid region carbon flux estimation method based on box type method and taking precipitation influence into consideration |
| CN106034633A (en) * | 2016-05-31 | 2016-10-26 | 山东农业大学 | Corn planting method based on fertilizer applying treatment and capable of effectively adjusting and controlling waterlogging stress |
| CN106370790A (en) * | 2016-10-24 | 2017-02-01 | 中国水利水电科学研究院 | CO2 flux automatic monitoring system of farmland ecosystem |
| CN106405055A (en) * | 2016-11-01 | 2017-02-15 | 青岛大学 | System and method for continuous online measurement of soil CO2 flux |
-
2018
- 2018-11-30 CN CN201811450583.2A patent/CN109856362A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102047833A (en) * | 2010-09-25 | 2011-05-11 | 长江大学 | Waterlogging simulation test system for rainfed cropland |
| CN105701360A (en) * | 2016-03-02 | 2016-06-22 | 中国科学院寒区旱区环境与工程研究所 | Arid region carbon flux estimation method based on box type method and taking precipitation influence into consideration |
| CN106034633A (en) * | 2016-05-31 | 2016-10-26 | 山东农业大学 | Corn planting method based on fertilizer applying treatment and capable of effectively adjusting and controlling waterlogging stress |
| CN106370790A (en) * | 2016-10-24 | 2017-02-01 | 中国水利水电科学研究院 | CO2 flux automatic monitoring system of farmland ecosystem |
| CN106405055A (en) * | 2016-11-01 | 2017-02-15 | 青岛大学 | System and method for continuous online measurement of soil CO2 flux |
Non-Patent Citations (4)
| Title |
|---|
| 任佰朝: "淹水影响夏玉米发育的胜利机制及其调控", 《中国博士学位论文全文数据库 农业科技辑》 * |
| 刘军 等: "长期连作及秸秆还田棉田土壤呼吸变化特征", 《生态环境学报》 * |
| 康绍忠 等 主编: "《农业水管理学》", 31 December 1996, 中国农业出版社 * |
| 李乐农 等: "淹水处理对不同水稻品种碳氮代谢的影响", 《湖南农学院学报》 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113960288A (en) * | 2021-10-28 | 2022-01-21 | 中国石油大学(华东) | Source-sink system quantitative evaluation method |
| CN113960288B (en) * | 2021-10-28 | 2023-09-19 | 中国石油大学(华东) | Quantitative evaluation method for source-sink system |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Xu et al. | Modeling rice development and field water balance using AquaCrop model under drying-wetting cycle condition in eastern China | |
| Xie et al. | Development and test of SWAT for modeling hydrological processes in irrigation districts with paddy rice | |
| del Pilar Muschietti-Piana et al. | Using site-specific nitrogen management in rainfed corn to reduce the risk of nitrate leaching | |
| CN104407109B (en) | Soil ammonia volatilization in-situ monitoring device and assay method | |
| Anapalli et al. | Quantifying water and CO2 fluxes and water use efficiencies across irrigated C3 and C4 crops in a humid climate | |
| Jiang et al. | Irrigation management for spring maize grown on saline soil based on SWAP model | |
| CN109566387A (en) | A kind of the irrigation decision method and irrigation system of substrate culture nutrient solution | |
| CN103749205B (en) | A kind of rhizosphere soil is separated and the plant roots bag Synthetical cultivation device collected | |
| Gatis et al. | The effect of drainage ditches on vegetation diversity and CO2 fluxes in a Molinia caerulea‐dominated peatland | |
| Zhang et al. | Soybean crop-water production functions in a humid region across years and soils determined with APEX model | |
| CN109856362A (en) | A kind of influence recognition methods of the flood stain event to crops soil body unit Carbon flux | |
| Corbari et al. | Optimizing irrigation water use efficiency for tomato and maize fields across Italy combining remote sensing data and the aquacrop model | |
| Wu et al. | Modeling of mixed crop field water demand and a smart irrigation system | |
| CN110321784A (en) | Method, apparatus, electronic equipment and the computer media of soil moisture estimation | |
| CN113960699B (en) | Method for judging whether drought or flood is in sudden turning grade or not | |
| Bagula et al. | Water use efficiency of maize (Zea mays L.) crop under selected soil and water conservation practices along the slope gradient in Ruzizi watershed, eastern DR Congo | |
| CN106385851A (en) | In-situ restoration saline-alkali land vegetable planting method | |
| Bao et al. | Enhanced precipitation offsets climate warming inhibition on Solidago canadensis growth and sustains its high tolerance | |
| JPH11346581A (en) | Water control for plural groups of paddy field and water control system | |
| Stenitzer et al. | Assessment of capillary rise from shallow groundwater by the simulation model SIMWASER using either estimated pedotransfer functions or measured hydraulic parameters | |
| JP6692102B2 (en) | Carbon dioxide application support device and carbon dioxide application support program | |
| De Vos et al. | Raising surface water levels in peat areas with dairy farming: Upscaling hydrological, agronomical and economic effects from farm-scale to local scale | |
| CN115035421B (en) | Mangrove forest ecological beach-fixing sand-binding method, device, equipment and storage medium | |
| Blanco et al. | Evaluation of evaporation-measuring equipments for estimating evapotranspiration within a greenhouse | |
| Moghbel et al. | Bayesian calibration and uncertainty assessment of HYDRUS-1D model using GLUE algorithm for simulating corn root zone salinity under linear move sprinkle irrigation system |
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 | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20190607 |
|
| RJ01 | Rejection of invention patent application after publication |