Standard number: QX/T 527-2019
Standard name: Technical directives for risk zoning of agrometeorological disasters
English name: Technical directives for risk zoning of agrometeorological disasters ||
tt||Standard format: PDF
Release time: 2019-12-26
Implementation time: 2020-04-01
Standard size: 1.14M
Standard introduction: This standard specifies the zoning process, data collection and processing, risk assessment and risk zoning for agrometeorological disaster risk zoning.
This standard applies to the meteorological disaster risk zoning of major crops (including food crops, fruit, flowers, etc.).
2 Terms and definitions
The following terms and definitions apply to this article.
Agrometeorological disasters
Disasters caused to agriculture by adverse meteorological conditions
[QX/T292-2015, definition 3.5]
Agrometeorological disaster risk
The possibility of occurrence of agricultural meteorological disaster events and the possibility of causing agricultural output loss, quality reduction and ultimate economic loss. This standard was drafted in accordance with the rules given in GB/T1.1-2009.
This standard was proposed and managed by the National Agricultural Meteorological Standardization Technical Committee (SAC/TC539). Drafting unit of this standard: Shaanxi Agricultural Remote Sensing and Economic Crop Meteorological Service Center. The main drafters of this standard: Wang Jinghong, Bai Qinfeng, Liang Yi, Gao Maosheng. China is a large agricultural country. Affected by geography and climate, agricultural meteorological disasters occur frequently and with great intensity, and the losses caused by them account for the largest proportion of agricultural natural disaster losses. Agricultural meteorological disaster risk zoning is of great significance to optimizing the layout of agricultural industries and guiding agricultural disaster prevention and mitigation. This standard is formulated to standardize the technical methods of agricultural meteorological disaster risk zoning.
This standard specifies the zoning process, data collection and processing, risk assessment and risk zoning of agricultural meteorological disaster risk zoning. This standard is applicable to the meteorological disaster risk zoning of major crops (including food crops, forestry and fruit, flowers, etc.).

ICS07.060
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Meteorological Industry Standard of the People's Republic of China
QX/T527—2019
Technical directives for risk zoning of agrometeorological disasters2019-12-26Released
China Meteorological Administration
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2020-04-01Implementation
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Terms and Definitions
Zoning Process
Data Collection and Processing
Risk Assessment
Risk Zoning
Appendix A (Informative Appendix)
Appendix B (Informative Appendix)
Appendix C ( Informative Appendix)
ReferencesbZxz.net
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Normalization method for data required for common agricultural meteorological disasters and their risk analysis
Calculation method for various risk indices of agricultural meteorological disastersika-cJouakA
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This standard was drafted according to the rules given in GB/T1.1-2009. This standard is proposed by the National Agricultural Meteorological Standardization Technical Committee (SAC/TC539) and is under the jurisdiction of the drafting unit of this standard: Shaanxi Agricultural Remote Sensing and Economic Crop Meteorological Service Center. The main drafters of this standard: Wang Jinghong, Bai Qinfeng, Liang Yi, Gao Maosheng YiikAa-cJouakAa
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my country is a large agricultural country. Affected by geography and climate, agricultural meteorological disasters occur frequently and with great intensity, and the losses caused account for the largest proportion of agricultural natural disaster losses. Agricultural meteorological disaster risk zoning is of great significance to optimizing the layout of agricultural industries and guiding agricultural disaster prevention and mitigation. In order to standardize the technical methods of agricultural meteorological disaster risk zoning, this standard is formulated. YiikAa-cJouakAa
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1 Scope
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Technical Guidelines for Agricultural Meteorological Disaster Risk Zoning QX/T527—2019
This standard specifies the zoning process, data collection and processing, risk assessment and risk zoning for agricultural meteorological disaster risk zoning. This standard applies to meteorological disaster risk zoning for major crops (including food crops, forestry, fruit, flowers, etc.). Terms and Definitions
The following terms and definitions apply to this document. 2.1
agrometeorological disastersAgrometeorological disasters
Disasters caused to agriculture by adverse meteorological conditions [QX/T292—2015, definition 3.5]
Agrometeorological disaster risk
agrometeorological disaster riskThe possibility of an agrometeorological disaster event and the possibility of causing agricultural output loss, quality reduction and ultimate economic loss. 2.3
Disaster factor
Adverse weather and climate factors that lead to the occurrence of agrometeorological disasters. Note 1: Weather factors include sunshine hours, temperature, humidity, wind speed, etc.; climate factors include radiation factors, atmospheric circulation factors, and geographical factors. Note 2: Rewrite QX/T405—2017 definition 3.2. 2.4
Hazard of disaster factor
risk of disaster factor
The level of variation of the disaster factor and the possibility of its occurrence. 2.5
hazard-affected body
hazard-affected body
the main body of crops that are subject to agro-meteorological disasters. Note: rewrite GB/T32572-2016, definition 2.2. 2.6
hazard-affected body exposure
the scale of the body that may be affected by meteorological disasters 2.7
environmental fragility
environmental fragility
the possibility that the stability of the agro-ecosystem will be destroyed under the influence of meteorological disasters. 2.8
capabilityofdisasterpreventionandmitigation
the ability of risk bearers, with people as the main body, to take certain means or measures to prevent and reduce disaster losses when facing agro-meteorological disasters. 1
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Disaster level indicatordisasterlevelindicatorThe critical threshold of the disaster factor determined according to the degree of damage to crops after the meteorological disaster. 2.10
disasterlossrate
Disaster loss rate
The percentage of crop yield reduction in the year caused by meteorological disasters. Note: Rewrite QX/T392-2017. Definition 2.6. 2.11
Risk index
riskindex
A quantitative indicator for assessing the risk of agricultural meteorological disasters based on the risk assessment model. 2.12
Risk zoning
risk zoning
According to the size of the agricultural meteorological disaster risk index, the spatial distribution of agricultural meteorological disaster risks is divided into regions. 3
Zoning process
The agricultural meteorological disaster risk zoning process is shown in Figure 1. YikAa-cJouakAa
Meteorological data
Hazard analysis
Intensity and frequency of meteorological disasters
Hazard index of disaster-causing factors
4 Data collection and processing
4.1 General requirements
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Specify the main crops, disaster types, and zoning criteria Use socio-economic data
Exposure analysis
Crop area, yield, etc.
Exposure index of disaster-bearing bodies
Normalization processing
Spatial processing
GIS database
Disaster data
Analysis of disaster prevention and mitigation capabilities
Economic capabilities, etc.
Disaster prevention and mitigation capability index
Agricultural meteorological disaster risk assessment model
Results of risk zoning of agricultural meteorological disasters
Process of risk zoning of agricultural meteorological disasters
Geographic information data
Vulnerability analysis
Topography, elevation, water system
Environmental vulnerability index
Clearly define the main crops, disaster types, and zoning scope targeted by risk zoning, and collect and process relevant dataikAa-cJouakAa
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Data collection
Risk zoning
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4.2 Data collection
4.2.1 Meteorological data
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It is advisable to collect data on agricultural meteorological disasters and their hazard factors at different time scales of 30 years or more. Common agricultural meteorological disasters and their main disaster-causing factors are shown in Table A.1 of Appendix A. 4.2.2 Socio-economic data
It is advisable to collect the latest socio-economic data of each county or township within the zoning area. The socio-economic data required for the risk analysis of common agricultural meteorological disasters is shown in Table A.2 of Appendix A.
4.2.3 Disaster data
It is advisable to collect meteorological disaster data of the corresponding year with the meteorological data, including the affected area of ​​crops, the area of ​​disaster, the area of ​​crop failure, direct economic losses, etc.
4.2.4 Geographic information data
It is advisable to collect digital elevation model (DEM) raster data with a resolution of not less than 1:250000 and loss data such as administrative boundaries and river systems.
4.3 Data processing
The various indices obtained from data processing of different properties and dimensions should be normalized. For the normalization method, please refer to Appendix B.
5 Risk assessment
Risk assessment indicators
5.1.1 Hazard factor risk index
For the classification of disaster factors, it is advisable to refer to the classification method of agricultural meteorological disasters in QX/T392-2017, and classify them into 3 to 5 levels
For the calculation method of the disaster factor risk index, please refer to Appendix C C.1.5.1.2 Exposure index of disaster-prone bodies
It is advisable to use the yield or area of ​​crops in each county or township within the zoning range to characterize the exposure of the disaster-prone body. For the calculation method of the exposure index of the disaster-bearing body, please refer to C.2 of Appendix C. 5.1.3 Environmental vulnerability index
It is advisable to calculate the environmental vulnerability index of agricultural meteorological disasters based on certain mathematical methods and theoretical basis, taking into account the impact of the environment on the formation of disasters, terrain, elevation, water system distribution, etc. For the calculation method of the environmental vulnerability index, please refer to C.3 of Appendix C. 5.1.4 Disaster prevention and mitigation capacity index
It is advisable to use the per capita disposable income, agricultural investment, total agricultural output, etc. of each county or township within the zoning range, based on certain mathematical methods and 4
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