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Projection pursuit-based risk evaluation method for meteorological disasters of facility agriculture

A technology of meteorological disasters and projection tracking, which is applied in the direction of instruments, data processing applications, calculations, etc., can solve the problems of strong human influence and lack of theoretical basis, and achieve high-precision results

Inactive Publication Date: 2013-01-09
NANJING UNIV OF INFORMATION SCI & TECH
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Problems solved by technology

It can be seen that in the existing meteorological disaster risk assessment methods, the human influence is strong, and the theoretical basis is lacking to a certain extent.

Method used

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  • Projection pursuit-based risk evaluation method for meteorological disasters of facility agriculture
  • Projection pursuit-based risk evaluation method for meteorological disasters of facility agriculture
  • Projection pursuit-based risk evaluation method for meteorological disasters of facility agriculture

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Embodiment Construction

[0022] Below in conjunction with accompanying drawing, the technical scheme of invention is described in detail:

[0023] Taking the meteorological disaster risk zoning of solar greenhouses in the north as an example, the method for assessing the meteorological disaster risk of facility agriculture based on accelerated genetic algorithm projection pursuit is as follows: figure 1 As shown, it specifically includes the following steps:

[0024] Step 1, first collect the meteorological data of the area. The department collected and used the meteorological data of 243 stations in 16 provinces, municipalities and autonomous regions in northern my country from 1980 to 2009. The collected meteorological data include: temperature, sunshine, precipitation, wind speed, etc. Meteorological data of evaluation index data, specific greenhouse bearing capacity data. Carry out the homogeneity test on the meteorological data, and interpolate the missing meteorological data to obtain a complete...

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Abstract

The invention discloses a projection pursuit-based risk evaluation method for meteorological disasters of facility agriculture, belonging to the technical field of the evaluation of the meteorological disasters. The projection pursuit-based risk evaluation method comprises the following steps of: fitting and acquiring historical meteorological data by means of a neural network; counting the annual occurrence frequency of the meteorological disasters in various grade, calculating to acquire disaster comprehensive indexes of evaluation indexes, and establishing disaster comprehensive index grading standards of the evaluation indexes; constructing projection functions of the historical meteorological data, and acquiring the optimal projection vector by an accelerating genetic algorithm; and building a risk evaluation model according to projection values of the meteorological data on the optimal projection vector and the disaster comprehensive index grades of the evaluation indexes. The projection pursuit method is applied to the field of the risk evaluation of the meteorological disasters of the facility agriculture, the projection vectors are optimized by combining with the accelerating genetic algorithm, and the actual meteorological data are taken as input data of the evaluation model, the accuracy of risk evaluation results is high, and new thoughts and methods are provided for the research of the risk evaluation of the meteorological disasters.

Description

technical field [0001] The invention discloses a method for assessing the risk of facility agricultural meteorological disasters based on projection tracking, and belongs to the technical field of meteorological disaster assessment. Background technique [0002] Since the 1990s, my country's northern solar greenhouse-based facility agriculture has developed rapidly, focusing on out-of-season and off-season vegetable cultivation. The area of ​​facility agriculture has grown from 108,000 mu in 1981 to more than 45 million mu in 2010,29 The annual growth rate has increased by more than 440 times. At the same time, the development of facility agriculture has also provided the most basic and solid guarantee for the supply of off-season vegetables in cities. The ability of solar greenhouses in northern my country to resist natural disasters is poor, and the economic benefits obtained per unit area of ​​facilities are far behind that of foreign countries. The main reason is that th...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/00G06Q50/02
Inventor 杨再强李永秀江晓东黄海静朱永生
Owner NANJING UNIV OF INFORMATION SCI & TECH
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