【摘要】 空气负氧离子（NOI）浓度是评价空气新鲜和清洁程度的重要指标。为了提高NOI浓度的监测能力，综合考虑气象要素和遥感因子，分析NOI浓度的关键影响因子，利用皮尔逊相关分析、PCA分析和随机森林机器学习方法（RF）构建了福建区域NOI浓度的PCA-RF预测模型。研究发现，（1）NOI浓度分布与风速(W_air)、空气温度(T_air)、大气压强(P_air)、能见度(I_VIS)、气溶胶光学厚度(h_AOD)、植被指数(I_NDVI)、湿度指数1(I_NDMI1)、植被供水指数(I_VSWI)和亮度指数(I_NDSI)呈显著相关（均通过0.01显著性检验）,其中W_air、I_VIS、I_NDVI和I_VSWI与NOI浓度呈正相关，T_air、P_air、h_AOD、I_NDMI1和I_NDSI与NOI浓度呈负相关。（2）主成分数量为7时，方差累计贡献率达到93.36%,能够代表所有因子的大部分信息。（3）PCA-RF模型最佳的n_tree和m_try分别为400和7。对福建区域NOI浓度影响较大的前3个因子依次为P_air、I_VIS和I_VSWI。（4）PCA-RF模型在验证集上的RMSE为803.73 ions/cm³,R²为0.44,MAE为548.79 ions/cm³。更多还原

【Abstract】 The concentration of air negative oxygen ions（NOI） is an important indicator to evaluate the freshness and cleanliness of the air.In order to improve the monitoring capability of NOI concentration, the key influencing factors of NOI concentration were analyzed by considering meteorological elements and remote sensing factors, and a PCA-RF prediction model of NOI concentration was constructed by using Pearson correlation analysis, PCA analysis, and random forest machine learning method（RF） in Fujian Province.It was found that:（1）The distribution of NOI concentration was significantly correlated with wind speed(W_air),air temperature(T_air),atmospheric pressure(P_air),visibility(I_VIS),aerosol optical thickness(h_AOD),vegetation index(I_NDVI),humidity index 1(I_NDMI1),vegetation water supply index(I_VSWI),and brightness index(I_NDSI)（all passed the 0.01 significance test）,where W_air,I_VIS,I_NDVI,and I_VSWI were positively correlated with NOI,and T_air,P_air,h_AOD,I_NDMI1 and I_NDSI were negatively correlated with NOI.（2）When the principal component score was 7,the cumulative contribution rate of variance reached 93.36%,which can represent most of the information of all factors.（3）The optimal n_tree and m_try of the PCA-RF model were 400 and 7,respectively.The top three factors that have a significant impact on the NOI concentration in the Fujian region are P_air,I_VIS,and I_VSWI,respectively.（4）The RMSE of the PCA-RF model on the validation set was 803.73 ions/cm³,R² was 0.44,and MAE was 548.79 ions/cm³.更多还原