用灰色关联法分析重庆缙云山林冠截留量影响因素

Grey Correlation Analysis on Factors Influencing Canopy Interception in Jinyun Mountain in Chongqin

为研究影响缙云山林冠截留量各影响因素之间的关系,运用灰关联分析方法,计算了影响林冠截留因素的灰关联度值。通过灰关联分析,找出了影响缙云山林冠截留量的主要因素和次要因素。对于针阔混交林,其影响大小依次是：降雨量〉降雨强度〉气温〉空气湿度〉风速,其中降雨量的影响度达0.87,空气湿度的影响最小,为0.75;对于阔叶林,其影响大小依次是：空气湿度〉气温〉降雨量〉降雨强度〉风速,各影响因素灰关联度基本接近,最大值与最大值差仅为0.08991;对于楠竹林,其影响大小依次是：降雨量〉降雨强度〉空气湿度〉风速〉气温,降雨量的影响灰关联度达0.97,气温的灰关联度最小,为0.79。降雨量、降雨强度和中的风速、气温、空气湿度等对林冠截留影响显著。影响针阔混交林、楠竹林林冠截留量的主要是降雨过程,灰关联度达到0.85;蒸散过程对阔叶林林冠截留起着重要的作用,但降雨量的影响比降雨强度要大。

To research the relation of factors influencing canopy interception in Jinyun Mountain in Chongqing, by the grey system theory, calculate the grey correlation degree of factors influencing canopy interception. Based on the grey system theory, find out the primary and secondary relation of factors influencing canopy interception in Jinyun Mountain. For mixed broadleaf-conifer forest, the influencing priority of analyzed factors is precipitation 〉 rainfall intensity 〉 temperature 〉 air humidity 〉 wind velocity. The highest grey correlation degree is precipitation, it reach 0.87. Air humidity is the worst factor, it is only 0.75. For broad-leaved forest, the priority is air humidity 〉 temperature 〉 precipitation 〉 rainfall intensity 〉 wind velocity, the data of grey correlation degree are approximate, the difference of the maximum and minimum grey correlation is only 0. 08991. For Phyllostachys pubescens forest, the influencing priority of analyzed factors is precipitation 〉 rainfall intensity 〉 air humidity 〉 wind velocity 〉 temperature, the grey correlation degree of precipitation is 0.97, the worst grey correlation degree is temperature, it is 0.79. Precipitation, rain intensity and wind velocity, temperature, air humidity, those factors greatly affect the amount of the canopy interceptions. The canopy interceptions of mixed hroadleaf-conifer forest and Phyllostachys pubescens forest are mainly influenced by the process of rainfall, the grey correlation degree is 0.85; The process of evapotranspiration is important to the canopy interception of broad-leaved forest, but the influenced by precipitation is greatly than rainfall intensity.