A New Quantitative Evaluation Model for Climate Capacity
TANG Lisheng
ZHANG Liuhong
WANG Hua
Abstract：To enable a scientific understanding and evaluation of climate capacity,this study proposes a new quantitative assessment method that addresses the limitations of traditional approaches(e.g.,the Nemerow index and deviation-from-average methods),including excessive sensitivity to extreme values,uniform weighting,and poorly defined deviation thresholds.The proposed method also facilitates consistent cross-regional comparisons.Based on the 3σ principle of the normal distribution,critical thresholds for climate indicators are established,followed by the definition of indicator deviations and the construction of a standardized deviation model.The weight coefficients of climate indicators are determined using the entropy weight method,leading to the development of a climate capacity model.For normally distributed climate capacity data,ratings(poor,average,and excellent)can be assigned using a one-standard-deviation quantile approach.Validation demonstrates that the proposed method offers advantages of low computational complexity,ease of use,intuitive interpretation,and consistency with empirical observations,thereby providing a new framework for climate carrying capacity assessments.
Keywords：climate indicatornatural capacityclimate capacitycritical thresholdrandom variablenor-mal distribution
Publication Date：2025-06-30
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：13( 297-309 )