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Agricultural drought monitoring method based on meteorological time lag caused by soil moisture

A soil moisture and drought technology, applied in climate change adaptation, data processing applications, complex mathematical operations, etc., to strengthen disaster prevention and mitigation decision-making, with remarkable results

Active Publication Date: 2021-07-09
WUHAN UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the possible lag relationship between multiple factors still needs to be further explored

Method used

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  • Agricultural drought monitoring method based on meteorological time lag caused by soil moisture
  • Agricultural drought monitoring method based on meteorological time lag caused by soil moisture
  • Agricultural drought monitoring method based on meteorological time lag caused by soil moisture

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Embodiment Construction

[0043] The technical scheme of the present invention is described in detail below based on specific embodiments, and the flow process is as follows figure 1 Shown:

[0044] Step 1, data preprocessing.

[0045]Prepare the data of the study area, including long-term soil moisture data, precipitation data, vegetation health index data, surface climate data, (including sunshine time (h / day), average temperature (°C), average maximum temperature (°C), average minimum temperature (°C), average wind speed (m / s), average water pressure (hPa) and average relative humidity (%)), and vegetation health index data. Using Penman formula and surface climate data to calculate evapotranspiration data, carry out spatial interpolation operation on precipitation and evapotranspiration, and perform resampling operation on vegetation health index to obtain corresponding grid data in the study area to ensure soil moisture data, precipitation data, The spatial resolution of the evapotranspiration d...

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Abstract

The invention relates to an agricultural drought monitoring method based on soil moisture to meteorological time lag. The method comprises the following steps: preparing data of a research area, calculating evapotranspiration data by using a Penman's formula, carrying out rainfall and evapotranspiration interpolation and vegetation health index resampling, and ensuring that monthly mean value data in the research area have the same spatial resolution; estimating the delay time of the soil moisture to rainfall and evapotranspiration by means of a cross wavelet analysis method; calculating the relative values of rainfall, evapotranspiration and soil moisture relative to the historical overall level in sequence, and calculating the agricultural drought index of the research area in combination with the time lag condition. Correlation analysis is carried out on the drought index obtained by the method and a traditional drought index, and the reliability of the method is proved in the aspects of time, space and crop drought areas. According to the method, the brand new agricultural drought index is constructed, so that more accurate agricultural drought identification, monitoring and disaster loss evaluation are realized, and an important scientific basis can be provided for natural disaster monitoring evaluation and disaster prevention and reduction decision making.

Description

technical field [0001] The invention belongs to the application technology of space information technology in the field of water conservancy engineering, and in particular relates to an agricultural drought monitoring method based on soil moisture to meteorological time lag. Background technique [0002] Agricultural drought is a phenomenon in which crop yields are reduced due to insufficient soil moisture, which can restrict food production and lead to global food security problems. Drought index is widely used to identify and monitor drought conditions in order to quantitatively evaluate the intensity, duration and spatial extent of drought, and has become an effective method for monitoring drought events. [0003] Traditional drought indices are widely used in global drought research, such as the Palmer Drought Index, standardized precipitation index, and standardized precipitation evapotranspiration index. Most of the above indexes are designed for specific applications...

Claims

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Application Information

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IPC IPC(8): G06Q10/06G06F17/14G06F17/18G06Q50/02
CPCG06Q10/06393G06F17/148G06F17/18G06Q50/02Y02A40/22
Inventor 陆建忠田晴陈晓玲
Owner WUHAN UNIV
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