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River drought disaster situation prediction method

A forecasting method and drought technology, which is applied in weather forecasting, measuring devices, complex mathematical operations, etc., can solve the problems of low accuracy of drought monitoring, cumbersome implementation, and lack of drought warning in the drought monitoring system

Inactive Publication Date: 2017-11-07
BEIJING NORMAL UNIVERSITY
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Problems solved by technology

[0004] Although the above method uses remote sensing data for drought monitoring, due to its cumbersome implementation, it can only determine the drought situation. Due to the poor accuracy of MODIS data, the accuracy of drought monitoring is not high.
In practical applications, it is not possible to monitor drought in real time like station data, and its drought monitoring system does not have the function of drought early warning and cannot predict drought

Method used

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Embodiment Construction

[0031] The present invention will be further described below in conjunction with the accompanying drawings and embodiments. It should be noted that the following descriptions are for explaining the present invention and not limiting its content.

[0032] Such as figure 1The river drought disaster prediction system shown is a software system developed based on C# on the Visual Studio development platform, combined with ArcGIS secondary development for visualization and calling R language for calculation. After the user's demand analysis and feasibility analysis, the data import module is designed with four functions, including checking and supplementing the missing data, drought monitoring of a single station, planar drought monitoring of the Huaihe River Basin, and drought prediction of the Huaihe River Basin. In terms of connecting VisualStudio, ArcGIS and R language, R.NET and ArcSDE are mainly used to connect programs with Visual Studio. These two plug-ins solve the problem...

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Abstract

The invention discloses a river drought disaster situation prediction method. The method comprises the following steps that firstly, original meteorological data of a river monitoring station is collected, and the drought situation of the monitoring station is calibrated by using a standardized precipitation index (SPI); secondly, the drought indexes at different time scales are calculated, and the indexes are subjected to interpolation; thirdly, according to the area chart layers of cities and counties in the river valley, the average drought state of the cities and counties is calculated; fourthly, drought prediction is conducted on the monitoring station by using two-dimensional Copula. By means of the method, continuous, dynamic, quantitative and visual monitoring and analytical investigation on the disaster situation in Huaihe River valley can be conducted at the fine space scale, the analysis information about various drought indexes can be provided for users in various forms like a chart, and decision support and information service are provided for prevention and reduction of the disaster.

Description

technical field [0001] The invention relates to the technical field of meteorological prediction, in particular to a method for predicting river drought disasters. Background technique [0002] At present, there are many developments and researches on the drought monitoring system. In the current climate warming environment, the frequency of droughts is gradually increasing, so the platform for drought monitoring and early warning and drought monitoring has become a platform for many researchers. Popular Research Areas [0003] Among the current similar technologies, the patent number "Agricultural Drought Monitoring Method Based on MODIS Data" applied by the Shenyang Institute of Applied Ecology, Chinese Academy of Sciences is typically CN200910248457.3: this patent is an agricultural drought monitoring method based on MODIS data. Monitor farmland drought, and use crop water supply index and rainfall anomaly index to determine agricultural drought index. During drought mo...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/18G01W1/10
CPCG01W1/10G06F17/18Y02A90/10
Inventor 张强孙鹏温庆志
Owner BEIJING NORMAL UNIVERSITY
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