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An Agricultural Drought Monitoring Method Based on Soil Moisture vs Meteorological Time Lag

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

Active Publication Date: 2022-04-29
WUHAN UNIV
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  • Summary
  • 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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  • An Agricultural Drought Monitoring Method Based on Soil Moisture vs Meteorological Time Lag
  • An Agricultural Drought Monitoring Method Based on Soil Moisture vs Meteorological Time Lag
  • An Agricultural Drought Monitoring Method Based on Soil Moisture vs Meteorological Time Lag

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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, comprising the following steps: preparing the data of the research area, calculating the evapotranspiration data by using the Penman formula, interpolating the precipitation and evapotranspiration, and resampling the vegetation health index to ensure The monthly mean data in the study area have the same spatial resolution. The lag time of soil moisture to precipitation and soil moisture to evapotranspiration was estimated by means of cross wavelet analysis; the relative values ​​of precipitation, evapotranspiration, and soil moisture relative to the overall historical level were calculated in turn, and the agricultural drought index of the study area was calculated based on the time lag. The correlation analysis between the present invention and the traditional drought index is carried out, and the reliability of the present invention is proved in terms of time, space, and drought-affected area of ​​crops. The invention constructs a brand-new agricultural drought index to realize more accurate agricultural drought identification, monitoring and disaster loss assessment, which can provide an important scientific basis for natural disaster monitoring and evaluation, disaster prevention and mitigation 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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Patent Type & Authority Patents(China)
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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