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Modeling the Effect of Climate on Decay Rate

机译：建模气候对衰减率的影响

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Most of the work on modeling the effect of climate on decay in North America has focused around Scheffer's climate index (SI) for above-ground decay hazard. Originally developed for the contiguous USA and believed to exhibit a linear relationship to rates of decay, this concept has been effectively extended to Canada, Alaska, and Mexico. Extension to climates with SI values higher than 150 revealed less acceleration than expected and, in some cases, slower decay in tropical compared to subtropical climates. Efforts to develop a climate model predictive of relative decay rate led to comparisons between the relative SI, calculated as SI value at each site divided by the SI value of a reference site with an SI value around 60, and calculated acceleration factors. Acceleration factors were calculated from the ratio between time to decay at a particular test site and time to decay at the reference site. Addition of an exponent calculated to minimize the root mean standard error for each data set led toa series of models that aimed to predict acceleration factor from SI values up to 150. The exponents calculated for each data set were subsequently found to be correlated with the volume of the test units. Larger test units dry out more slowly after rain events, consequently their decay is not accelerated as much by increasing frequency of days with precipitation. This led to the equation.
机译：大多数关于建模气候效果对北美衰减的效果的努力集中在地上衰变危险的斯基费的气候指数（SI）周围。最初为连续的美国开发并据信与衰减率表现出线性关系，这一概念已得到有效扩展到加拿大，阿拉斯加和墨西哥。延伸到高于150的SI值的气候显示比预期的加速度较少，并且在某些情况下，与亚热带气候相比，热带的衰减较慢。开发一种气候模型的努力预测相对衰减的速率导致相对Si之间的比较，作为每个站点的Si值计算的，其除以60左右的Si值和计算的加速度因子。从特定测试站点的时间与时间衰减之间的比率计算加速因子和在参考现场衰减的时间。添加指数计算以最小化每个数据集LED的根平均标准误差，旨在将来自SI值的加速因子预测到150的加速因子。随后发现针对每个数据集计算的指数与卷相关联测试单位。较大的测试单位在雨后发生后更慢地干燥，因此它们的衰减不会随着沉淀的天数频率增加而不是加速。这导致了等式。

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