Method for determining the agricultural drought-caused yield reduction rate under current defense conditions at different drought frequencies

Abstract

The invention discloses a method for determining the agricultural drought-caused yield reduction rate under current defense conditions at different drought frequencies. A typical drought year is selected through water resource quantity frequency calculation by taking an agricultural drought reduction rate under current defense conditions as a research object, and the irrigation available water supply quantity of dominant crops is determined at different drought frequencies under the current defense conditions according to water supply and demand data of water resource planning or drought resistance planning; by calculating the effective rainfall in the growth period of typical annual crops, the available irrigation water supply amount is distributed to the irrigation water amount of each growth stage according to the water deficit proportion of each growth stage of the crops; a simplified Jensen model is adopted, the agricultural drought-caused yield reduction rate under the condition of different drought frequencies and historical typical years under the current situation defense conditions of a research area is simulated, calculated and researched, and a scientific basis and technical support are provided for drought-resistant water source engineering planning and drought-resistant actual scheduling.

Description

technical field [0001] The invention belongs to the technical field of drought prevention and disaster reduction, and in particular relates to a method for determining the yield reduction rate due to drought at different drought frequencies under current defense conditions. Background technique [0002] The impact of drought disasters is one of the core contents of drought prevention and mitigation strategies. Drought impact assessment is closely related to drought events, social economy and human activities. Due to the complexity of drought events and many influencing factors, the current research content of drought disaster losses is mainly For agricultural drought losses. In the existing research and practical application, the disaster situation and losses after the drought disaster are generally investigated and counted. There is a problem of lagging disaster information, and the accuracy and reliability of the data are also affected by the statistical caliber and statis...

AI Technical Summary

Problems solved by technology

In the existing research and practical application, the disaster situation and losses after the drought disaster are generally investigated and counted. There is a problem of lagging disaster situation information, and the accuracy and reliability of the data are also affected by the statistical caliber and statistical precision. Most of the data are annual values; it is difficult to answer how much a drought (such as once every 5 years) will have an impact on agriculture under the current water conservancy project and socio-economic defense conditions

At the research level, simulation calculations are often carried out by building models and calibrating model parameters. The model structure is complex, and model calibrating requires strong professional skills, and it is difficult for grassroots drought-relief personnel to operate

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