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Method for determining optimal loss curve of data-free city based on double-layer target optimization

A target optimization, loss curve technology, applied in the direction based on specific mathematical models, resources, climate change adaptation, etc., can solve problems such as unconsidered, and achieve the effect of reducing uncertainty and reducing uncertainty

Pending Publication Date: 2021-05-28
ZHENGZHOU UNIV
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Problems solved by technology

These studies provide feasible ideas for the construction of loss curves in areas without data, but they do not consider the uncertainty of loss rate results caused by the chance of setting a single city and indicators as comparison objects

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  • Method for determining optimal loss curve of data-free city based on double-layer target optimization
  • Method for determining optimal loss curve of data-free city based on double-layer target optimization
  • Method for determining optimal loss curve of data-free city based on double-layer target optimization

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Embodiment Construction

[0067] The present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0068] Flood loss curves are one of the most commonly used flood loss estimation methods in the world. The loss rate is defined as the ratio of the potential damage value to the total assets at risk at a certain submergence depth. A loss curve is a curve composed of loss rate data points at defined multi-level water depths.

[0069] In the present invention, cities without data are also called research areas or research cities, and cities with data are also called reference areas or reference cities.

[0070] In cities without data, the loss rate of flood disasters is obtained by the hydrological comparison method, that is, the loss rate of the known reference area (R 0 ), calculate the loss rate (R) of the study area, and convert the loss rate of the reference area into the loss rate of the study area through the characteristic ind...

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Abstract

The invention discloses a method for determining an optimal loss curve of a data-free city based on variation coefficient and beta distribution optimization principle double-layer target optimization so as to reduce uncertainty in a data processing process. Firstly, for an inland plain city lacking disaster situation data, a data reference area loss rate value is transferred to a research area by referring to a comparison principle; secondly, on the basis of the optimization principle of the minimum variation coefficient and the maximum beta distribution probability, reference errors and statistical errors generated in loss rate reference are reduced, a relatively accurate research area loss rate value is obtained, and then a disaster-lack-situation-data urban disaster-affected water depth-loss rate relation curve is established. Therefore, the generalized data-free urban disaster loss curve fitting method with the regional index value as an input parameter and the loss curve as an output result is formed, and scientific reference is provided for establishment of a data-free urban flood loss curve.

Description

technical field [0001] The invention relates to the technical field of flood loss assessment, in particular to a method for determining optimal loss curves for cities without data based on double-layer objective optimization. Background technique [0002] In the context of frequent extreme weather events and urbanization around the world, the frequency and severity of urban floods are increasing dramatically around the world. Accurate and reliable quantification of flood losses is necessary for effective urban flood risk management. Urban flood loss assessment depends on flood characteristics, economic and geographical conditions of flood-prone areas, etc., and has the characteristics of multi-dimensionality, difference and multi-disciplinary integration. The most common flood loss assessment method is to use the disaster loss curve (depth damage function) to connect the flood submergence depth, building type and economic factors to form a loss result. It is considered an i...

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Application Information

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IPC IPC(8): G06Q10/04G06Q10/06G06Q50/26G06N3/00G06N7/08G06N7/00
CPCG06Q10/04G06Q10/06393G06Q50/26G06N3/006G06N7/08G06N7/01Y02A10/40
Inventor 管新建孟钰吕鸿吴泽宁刘朦藏亚文刘源
Owner ZHENGZHOU UNIV
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