Apple Drought Flood Risk Assessment Model
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods lack a comprehensive risk assessment for drought and flood disasters specifically targeting apple crops, which are crucial for designing effective weather index insurance products.
Innovation Solution
A method that assesses comprehensive risk by calculating apple yield reduction rates, determining weather index thresholds, and building comprehensive risk index models considering terrain, vegetation, and water profit/loss ratios to derive insurance rates and premiums tailored to local conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If comprehensive risk assessment models are developed for apple crops, then insurance product design accuracy is improved, but model complexity and data processing requirements increase
Solution Approach 1:
The comprehensive risk assessment model is divided into distinct modules: disaster-cause factor risk assessment, disaster-pregnant environment sensitivity assessment, and disaster-bearing body vulnerability assessment. Each module processes specific aspects of risk independently, then results are integrated to produce the comprehensive assessment. This segmentation reduces overall model complexity while maintaining assessment accuracy.
Solution Approach 2:
The patent introduces comprehensive risk index models as intermediary structures that bridge raw data and final insurance product design parameters. These index models serve as mediators that transform complex multi-dimensional risk data into standardized metrics that can be directly applied to insurance pricing and product design, simplifying the overall system architecture.
2Adaptability or versatility
If regional-specific insurance rates are calculated using comprehensive risk models, then insurance product adaptability to local conditions is improved, but calculation complexity and data requirements increase
Solution Approach 1:
The patent applies local quality by incorporating region-specific parameters into the risk assessment model, including local terrain characteristics, vegetation types, water system features, and historical disaster data. Each region's insurance rates are calculated using its unique combination of these local factors, making the insurance products specifically adapted to local conditions while using a standardized calculation framework.
Solution Approach 2:
The system achieves regional adaptability through parameter changes by adjusting the weights and thresholds of various risk factors based on local conditions. The comprehensive risk index models allow dynamic modification of assessment parameters to reflect regional characteristics, enabling flexible adaptation without requiring fundamentally different calculation methodologies for each region.
Data Source
AI summary
The present provides methods for assessing comprehensive risk of drought and flood disasters on apple. The method adopts an optimal curve relationship between an apple yield reduction rate and drought and flood indexes and considers two disasters of drought and flood at the same time to determine the weather index threshold value under the threshold values of different yield reduction rates, meanwhile, builds comprehensive risk index models of drought and flood disasters from risk of disaster-causing factor, sensitivity of disaster-pregnant environment, vulnerability of disaster-bearing body, etc. using terrain, rivers, vegetation, apple planting area, and water profit and loss ratio, etc., and determine a premium rate according to a level of disaster risk to obtain insurance rates and premiums in different regions according to local conditions, thereby formulating a design scheme of insurance products suitable for local conditions, which has great advantages compared with a traditional single-disaster weather index insurance.