CN107657541A - A kind of field crop damage caused by a drought method of discrimination - Google Patents
A kind of field crop damage caused by a drought method of discrimination Download PDFInfo
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- 238000000034 method Methods 0.000 title claims abstract description 18
- 239000002689 soil Substances 0.000 claims abstract description 34
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims abstract description 22
- 230000003698 anagen phase Effects 0.000 claims description 10
- 238000012360 testing method Methods 0.000 claims description 4
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- 241000209140 Triticum Species 0.000 description 10
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- 230000004069 differentiation Effects 0.000 description 7
- 238000012544 monitoring process Methods 0.000 description 6
- 230000012010 growth Effects 0.000 description 5
- 238000005516 engineering process Methods 0.000 description 4
- 230000002262 irrigation Effects 0.000 description 3
- 238000003973 irrigation Methods 0.000 description 3
- 241001491882 Ecliptopera silaceata Species 0.000 description 1
- 241000196324 Embryophyta Species 0.000 description 1
- 240000008042 Zea mays Species 0.000 description 1
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- 235000002017 Zea mays subsp mays Nutrition 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
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- 238000002405 diagnostic procedure Methods 0.000 description 1
- 238000011156 evaluation Methods 0.000 description 1
- 244000037666 field crops Species 0.000 description 1
- 238000011835 investigation Methods 0.000 description 1
- 230000035772 mutation Effects 0.000 description 1
- 238000001556 precipitation Methods 0.000 description 1
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Abstract
The invention discloses a kind of field crop damage caused by a drought method of discrimination, including：1 determination ground moistening layer depth simultaneously detects soil moisture content；2 obtain drought instruction parameter and flood instruction parameter；3 obtain the crop water factor；4 structure damage caused by a drought discriminant functions；5 are worth to damage caused by a drought of the field crop in plantation area according to the damage caused by a drought discriminant function.The influence that Comprehensive of the present invention Crop Information, soil moisture content and crop leaf moisture content differentiate to damage caused by a drought so that differentiate that result is more rationally and accurate.
Description
Technical field
The present invention relates to Agriculture Drought monitoring and warning field, and in particular to a kind of field crop damage caused by a drought method of discrimination, is applicable
In the drought assessment index of the rain fed crops such as wheat, corn and classification.
Background technology
The differentiation of field crop damage caused by a drought is the important evidence of irrigation, water saving and good quality and high output, therefore China clearly proposes " to carry
High soil monitoring technology；Strengthen carrying out drought assessment index study ".
In the related art, patent (" Agriculture Drought remote sensing of the such as Wang Dongmei, Huang Junyou, Bao Yansong based on MODIS data
Monitoring method：China：CN103994976A.2014.08.20 ") utilize the change of Monitoring Soil Moisture Based on Remote Sensing, inverse model
In do not differentiate between the difference of crop varieties, but this model fails to divide the arid grade of different field crops well；
(" Qi Zhiming, Gu Zhe, Guidong is big to wait a kind of irrigation decision system and methods based on agricultural system model of to patent：
China：CN106688827A.2017.05.24 ") using the forecast progress soil moisture content estimation of meteorological network, but there may be
Larger error.Although also relates to crop water status, specific method is not provided；
Document (" wrap Monitoring of drought technique study [D] Anhui University of Science and Technology of the glad based on multi-source data, 2013. " and " old
Small phoenix, Wang Zaiming, Wang Zhenlong, damage caused by a drought assessment prediction scale-model investigation [J] Chinese countryside water of the Li Rui based on soil moisture content model
Sharp water power, 2014, (05):165-169. ") using index of the soil moisture content of constant depth as Monitoring of drought, therefore do not have
There is the change for embodying crop growth stage ground moistening layer depth；
Patent (" Wang Zhenlong, Chen little Feng, it is recklessly brave to wait a kind of damage caused by a drought comprehensive estimation methods based on multi objective of：China：
CN106845096A.2017.06.13 ") using many indexes evaluation meteorological drought, Hydrologic Drought and agricultural arid.For agriculture
Only with soil moisture content as reference index during industry arid, therefore judgment criteria list is shown slightly when for agricultural arid
One；
Document (" 2000~2013 years Growing season crops change of moisture content analysis [D] Harbin of jersey man song-Nen plains
Normal university, 2015. ", " jersey man, Zhang Lijuan, Yang Ping, 2000-2012 years Growing season crops of Zhang Xiaohui song-Nen plains contain
Water mutation analysis [J] Meteorological Science And Technologies are in progress, 2015,5 (01):66-69. " and " Wang Huai tree Hexi Oasis Different Irrigation conditions
Influence [J] Agriculture of Anhui science of lower Soil Moisture on Wheat leaf water content, 2014,42 (21):6957-6959. ") research
The influence of the relation, soil moisture of crops water content and precipitation to plant leaf blade water content etc., for crop leaf is contained
Water rate includes drought assessment system and provides theoretical foundation.
In summary, drought assessment standard or the main deficiency of method of discrimination are at present：
1. damage caused by a drought differentiates is directed to a wide range of overall region mostly, lacks and sentence to what whether certain crop of small range region suffered from drought
Other method.
2. generally using the soil moisture content of some fixing soils moistening layer depth as discriminant criterion, not according to crop
Kind, growth phase consider the suitable ground moistening layer depth of the actual growth of crop.
3. current drought assessment rule is not rationally using making water content of matter.
The content of the invention
The present invention is to solve above-mentioned the shortcomings of the prior art part, propose a kind of field crop damage caused by a drought differentiation side
Method, to consider influence that Crop Information, soil moisture content and crop water differentiate to damage caused by a drought comprehensively, so as to improve differentiation result
Reasonability and accuracy rate.
The present invention adopts the following technical scheme that to solve technical problem：
A kind of the characteristics of field crop damage caused by a drought method of discrimination of the invention is to carry out as follows：
Step 1：Soil moist layer depth H is determined according to plantation area, crop varieties and growth phase, and detects the soil
The soil moisture content ω of earth wettable layer depth H；
Step 2：Contained according to the soil of the soil moisture content ω and plantation area, crop varieties and growth phase
The higher limit ω of water ratemaxWith lower limit ωmin, it is utilized respectively formula (1) and formula (2) obtains drought instruction parameter alpha and flood instruction parameter
β：
α=ω-ωmin-|ω-ωmin| (1)
β=ω-ωmax+|ω-ωmax| (2)
Step 3：The highest industry that the leaf water content c and statistics obtained according to measurement is obtained tests moisture content z, utilizes formula
(3) crop water factor gamma is obtained：
γ=(c-z) ÷ (c+z) (3)
Step 4：According to drought instruction parameter alpha, flood instruction parameter beta and crop water factor gamma, damage caused by a drought is built using formula (4)
Discriminant function λ：
Step 5：The damage caused by a drought is divided into moistening, normal, arid；If damage caused by a drought discriminant function λ value is more than 0, then it represents that damage caused by a drought
For moistening；If damage caused by a drought discriminant function λ value is equal to 0, then it represents that damage caused by a drought is normal；If damage caused by a drought discriminant function λ value is less than 0, then it represents that
Damage caused by a drought is arid, and the arid is divided into micro- non-irrigated, light non-irrigated, middle non-irrigated, weight drought and spy's drought；
λ value is divided into by 5 sections and corresponding with 5 kinds of arid situations using equal point-score, so as to according to described
Damage caused by a drought discriminant function λ value obtains arid grade of the field crop in plantation area.
Compared with prior art, the beneficial effects of the present invention are：
1st, method of discrimination of the present invention differentiates damage caused by a drought according to plantation area, crop varieties and growth phase, so as to realize pair
The differentiation of damage caused by a drought in small range region, macroscopical damage caused by a drought more a wide range of than remote sensing etc. differentiate more accurate.
2nd, the present invention determines the depth of suitable soil moisture content collection according to plantation area, crop varieties and growth phase
Degree, it is more reasonable as the conventional method of drought assessment foundation than the soil moisture content using fixed several depth.
3rd, crop leaf moisture content is included damage caused by a drought differentiation system by the present invention, soil moisture content diagnostic method is carried out, as a result
It is more scientific.
4th, the present invention carries out damage caused by a drought differentiation using measured data, more accurate than using forecasting procedures such as meteorological networks.
Brief description of the drawings
Fig. 1 is the overview flow chart of the inventive method.
Embodiment
In the present embodiment, exemplified by along Huaihe River Northern Area of Huaihe River wheat, to illustrate the specific implementation step of damage caused by a drought differentiation, such as Fig. 1
Shown, a kind of field crop damage caused by a drought method of discrimination is to carry out as follows：
Step 1：Soil moist layer depth H (unit cm) is determined according to plantation area, crop varieties and growth phase, and examined
The soil moisture content ω (unit %) of soil moist layer depth H is surveyed, table 1 shows the main growth phase of wheat and depth of soil pair
It should be related to；By taking tillering stage wheat as an example, the soil volume moisture content at 45cm need to be measured.
Table 1 is along Huaihe River Northern Area of Huaihe River wheat growth stage and ground moistening layer depth
Step 2：According to the soil moisture content ω and higher limit ω of the soil moisture content of growth phasemaxAnd lower limit
ωmin, as shown in table 2, the higher limit ω of the wheat in tillering stagemaxFor 51%, lower limit ωminFor 39%.
Table 2 is along Huaihe River Northern Area of Huaihe River wheat growth stage and soil moisture content bound
It is utilized respectively formula (1) and formula (2) obtains drought instruction parameter alpha (dimensionless) and flood instruction parameter beta (dimensionless)：
α=ω-ωmin-|ω-ωmin| (1)
β=ω-ωmax+|ω-ωmax| (2)
Step 3：The highest industry that the leaf water content c (unit %) and statistics obtained according to measurement is obtained tests moisture content
Z (unit %), as shown in table 3, tillering stage wheat leaf blade optimum moisture content are 78%；
The crop field wheat most high yield vanes of table 3 test moisture content
| Growth phase | Seedling stage | Tillering stage | Jointing-booting stage | Full heading time | Maturity period |
| Z (%) | 65 | 78 | 70 | 62 | 48 |
Crop water factor gamma (dimensionless) is obtained using formula (3)：
γ=(c-z) ÷ (c+z) (3)
Step 4：According to drought instruction parameter alpha, flood instruction parameter beta and crop water factor gamma, damage caused by a drought is built using formula (4)
Discriminant function λ：
Step 5, damage caused by a drought is divided into moistening, normal, arid；If damage caused by a drought discriminant function λ value is more than 0, then it represents that damage caused by a drought is wet
Profit；If damage caused by a drought discriminant function λ value is equal to 0, then it represents that damage caused by a drought is normal；If damage caused by a drought discriminant function λ value is less than 0, then it represents that damage caused by a drought
For arid, arid is divided into micro- non-irrigated, light non-irrigated, middle non-irrigated, weight drought and spy's drought；
Using equal point-score by λ be divided into 5 sections and with arid 5 kinds of situations it is corresponding, so as to according to damage caused by a drought differentiate letter
Number λ value obtains arid grade of the field crop in plantation area, as shown in table 4.
The damage caused by a drought discrimination standard of table 4
Claims (1)
1. a kind of field crop damage caused by a drought method of discrimination, its feature are carried out as follows：
Step 1：Soil moist layer depth H is determined according to plantation area, crop varieties and growth phase, and it is wet to detect the soil
Moisten layer depth H soil moisture content ω；
Step 2：According to the soil moisture content ω and plantation area, the soil moisture content of crop varieties and growth phase
Higher limit ωmaxWith lower limit ωmin, it is utilized respectively formula (1) and formula (2) obtains drought instruction parameter alpha and flood instruction parameter beta：
α=ω-ωmin-|ω-ωmin| (1)
β=ω-ωmax+|ω-ωmax| (2)
Step 3：The highest industry that the leaf water content c and statistics obtained according to measurement is obtained tests moisture content z, utilizes formula (3)
Obtain crop water factor gamma：
γ=(c-z) ÷ (c+z) (3)
Step 4：According to drought instruction parameter alpha, flood instruction parameter beta and crop water factor gamma, differentiated using formula (4) structure damage caused by a drought
Function lambda：
<mrow>
<mi>&lambda;</mi>
<mo>=</mo>
<mfrac>
<mrow>
<mi>&alpha;</mi>
<mo>+</mo>
<mi>&beta;</mi>
</mrow>
<mrow>
<mn>2</mn>
<msub>
<mi>&omega;</mi>
<mrow>
<mi>m</mi>
<mi>i</mi>
<mi>n</mi>
</mrow>
</msub>
</mrow>
</mfrac>
<mo>&times;</mo>
<mrow>
<mo>(</mo>
<mn>1</mn>
<mo>-</mo>
<mi>&gamma;</mi>
<mo>)</mo>
</mrow>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>4</mn>
<mo>)</mo>
</mrow>
</mrow>
Step 5：The damage caused by a drought is divided into moistening, normal, arid；If damage caused by a drought discriminant function λ value is more than 0, then it represents that damage caused by a drought is wet
Profit；If damage caused by a drought discriminant function λ value is equal to 0, then it represents that damage caused by a drought is normal；If damage caused by a drought discriminant function λ value is less than 0, then it represents that damage caused by a drought
For arid, the arid is divided into micro- non-irrigated, light non-irrigated, middle non-irrigated, weight drought and spy's drought；
λ value is divided into by 5 sections and corresponding with 5 kinds of arid situations using equal point-score, so as to according to the damage caused by a drought
Discriminant function λ value obtains arid grade of the field crop in plantation area.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110231246A (en) * | 2019-05-14 | 2019-09-13 | 山东省农业可持续发展研究所 | A kind of drought of winter wheat early warning system |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102779391A (en) * | 2012-07-24 | 2012-11-14 | 中国农业科学院农田灌溉研究所 | Drought early-warning method and drought early-warning system |
| US20140343855A1 (en) * | 2013-05-15 | 2014-11-20 | The Regents Of The University Of California | Drought Monitoring and Prediction Tools |
| CN105052576A (en) * | 2015-08-19 | 2015-11-18 | 南京信息工程大学 | Determination method of drought stress level of greenhouse crops |
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- 2017-09-28 CN CN201710901231.3A patent/CN107657541A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102779391A (en) * | 2012-07-24 | 2012-11-14 | 中国农业科学院农田灌溉研究所 | Drought early-warning method and drought early-warning system |
| US20140343855A1 (en) * | 2013-05-15 | 2014-11-20 | The Regents Of The University Of California | Drought Monitoring and Prediction Tools |
| CN105052576A (en) * | 2015-08-19 | 2015-11-18 | 南京信息工程大学 | Determination method of drought stress level of greenhouse crops |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110231246A (en) * | 2019-05-14 | 2019-09-13 | 山东省农业可持续发展研究所 | A kind of drought of winter wheat early warning system |
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Application publication date: 20180202 |