Construction and application of summer corn drought disaster loss quantitative evaluation model

A summer maize and disaster damage technology, which is applied in the construction and application of summer maize drought damage quantitative evaluation model, can solve problems such as the inability to accurately restore the impact of yield, and achieve the effects of improving water use efficiency, avoiding losses, and promoting development

Pending Publication Date: 2019-12-03
HENAN INST OF METEOROLOGICAL SCI
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Problems solved by technology

[0006] The technical problem to be solved by the present invention is to provide a construction method and application of a summer maize drought damage quantitative evaluation mo...

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  • Construction and application of summer corn drought disaster loss quantitative evaluation model
  • Construction and application of summer corn drought disaster loss quantitative evaluation model
  • Construction and application of summer corn drought disaster loss quantitative evaluation model

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0057] Example 1: Constructing a quantitative evaluation model for summer maize drought damage

[0058] (1) Model equation

[0059] The water production function is a mathematical model that describes the relationship between the relative crop yield and the relative evapotranspiration at each stage of the growth period under the condition of insufficient water supply. It is also called the water consumption-yield relationship model of crop growth stages. On the basis of this model, combined with long-term, a large number of scientific research and experimental verification, the inventor established a mathematical model describing the relationship between the yield loss rate and the water loss rate of a certain stage of crops:

[0060] - formula (I);

[0061] In the formula, CWD i Indicates the water deficit rate at a certain stage; R Indicates the yield loss rate; lambda i is the sensitivity index of crops to water deficit; n The number of growth stages divided for ...

Embodiment 2

[0083] Example 2: Verification research on the quantitative detection model of summer maize drought damage

[0084] In order to further verify the accuracy of the evaluation model and parameters on the evaluation results of summer maize drought damage, several typical drought years in the history of northern Henan were selected, and the corresponding yield loss rate was calculated using the model of formula (I) in Example 1 Calculate the production reduction rate, and use the moving average method to calculate the relative meteorological production in the corresponding year as the actual production reduction rate based on the actual production data of each county over the years. Through the comparison between the two, the evaluation results are verified.

[0085] Among them, the calculation steps of yield loss rate are as follows:

[0086] (1) Calculate the reference evapotranspiration at each growth stage according to the Penman-Monteith formula ET 0 ;

[0087] (2) Calcul...

Embodiment 3

[0098] Example 3: Validation research on quantitative detection model of summer maize drought damage in Henan

[0099] According to the model of formula (I) in Example 1, the impact of drought on summer maize production in Henan in 2013 and 2014 was calculated. The drought in 2013 and the drought in 2014 occurred before and after tasseling and pollination, which is a key stage for yield formation. Therefore, in areas without irrigation conditions, it will have a greater impact on yield.

[0100] Calculated as image 3 shown.

[0101] From the distribution map of production reduction rate, it can be seen that the areas with large production reduction rates in two years are mainly in western Henan and central Henan. Parts of eastern and southern Henan were also affected by the drought, resulting in a certain reduction in production, ranging from 5 to 10%. The distribution of yield reduction rate is basically consistent with the actual occurrence of drought.

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Abstract

The invention discloses construction and application of a summer corn drought disaster loss quantitative evaluation model, and aims to solve the technical problem that the influence of field drought disasters on the yield cannot be accurately restored and detected in the prior art. The method comprises: constructing a summer corn drought disaster damage loss model by the following steps: determining n growth stages of the summer corn in the whole growth period by taking 10 days or the number of local habitual days as a step length; according to summer corn field irrigation test data, calculating a moisture sensitivity index [lambda]i of the summer corn in the ith growth stage by utilizing an interpolation method; calculating a crop coefficient Kci of each stage according to a local irrigation test; and establishing a summer corn drought disaster loss quantitative evaluation model. The summer corn drought disaster loss quantitative evaluation model established by the invention can accurately restore and detect the influence of field drought disasters on the yield, is low in cost and strong in timeliness, can provide a basis for drought resistance and disaster reduction, and promotesthe development of agricultural economy.

Description

technical field [0001] The invention relates to the technical field of agricultural production, in particular to the construction and application of a summer maize drought damage quantitative assessment model. Background technique [0002] Drought is one of the meteorological disasters that have a major impact on agricultural production, and the quantitative detection of yields affected by drought disasters is also one of the difficult problems in the field of agricultural meteorology. [0003] Summer corn is one of the important summer crops in Henan Province, and occupies an important position in the composition of autumn grain production in the province. However, summer maize is also the crop most susceptible to high temperature and drought in summer. Therefore, it is of great practical significance to study the impact of drought on maize. [0004] At present, the quantitative detection of the impact of drought on crop yield generally starts from two aspects. One is to u...

Claims

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Application Information

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IPC IPC(8): G06Q10/06G06Q50/02
CPCG06Q10/0639G06Q10/067G06Q50/02
Inventor 薛昌颖刘天学李树岩张弘成林田宏伟胡程达师丽魁
Owner HENAN INST OF METEOROLOGICAL SCI
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