CAJ | 학술논문

为了选取最优模型来判别对林火面积有显著影响的气象因子，应用Gamma广义线性模型和多元线性回归模型在年尺度上对大兴安岭塔河地区林火面积和当年及前一年防火期气象因子的关系进行了分析。应用AIC、BIC和RMSE等统计检验方法，对Gamma模型与传统多元线性回归模型进行拟合度比较。结果显示：Gamma全模型对林火面积与当年及前一年气象因子的拟合均要优于相对应的多元线性回归模型，且模型中自变量因子的显著性水平较高。根据最优模型选择标准，对Gamma全模型自变量中的不显著因子进行逐一删除，并获得最优Gamma模型（模型中的气象因子均与林火显著相关）从而确定影响塔河地区林火面积的主要决策气象因子。
위료선취최우모형래판별대림화면적유현저영향적기상인자，응용Gamma엄의선성모형화다원선성회귀모형재년척도상대대흥안령탑하지구림화면적화당년급전일년방화기기상인자적관계진행료분석。응용AIC、BIC화RMSE등통계검험방법，대Gamma모형여전통다원선성회귀모형진행의합도비교。결과현시：Gamma전모형대림화면적여당년급전일년기상인자적의합균요우우상대응적다원선성회귀모형，차모형중자변량인자적현저성수평교고。근거최우모형선택표준，대Gamma전모형자변량중적불현저인자진행축일산제，병획득최우Gamma모형（모형중적기상인자균여림화현저상관）종이학정영향탑하지구림화면적적주요결책기상인자。
We applied Gamma model ( a generalized linear regression model ) and multiple linear regression model to analyze the relationship between burned area and weather factors including the current -year and the one-year-before weather factor un-der year scale to select the best model for identifying the main weather driving factors on forest burned area .We made a comparison between Gamma and multiple linear regression model based on AIC , BIC, and RMSE test.Gamma model was superior over the multiple linear regression model on both “current-year” and “one-year-before” data fitting.The signifi-cance of parameters was improved in Gamma models compared to the corresponding multiple linear regression model .We chose the best model according to the Best Model Selection Standard to identify the main weather driving factors on local fire burned area in Tahe region .