Contributions of different pollution sources to each pollution factor of Changtan Reservoir were quantified by APCS-MLR (absolute principal component score-multiple linear regression) model. Research results show that the primary pollution sources of Changtan Reser...
the daily monitoring data of Yingzai national examination section of Jiuzhou River were chosen.The characteristics of water quality and pollution sources in wet and dry seasons were analyzed by using correlation analysis and absolute principal components-multiple linear regression model （APCS-MLR ）....
02-0001-14引用格式：李忠武，王磊，冉凤维，等.基于APCSMLR模型的西洞庭湖沉积物重金属来源解析口］.长沙理工大学学报(自然科学版)，2022,19(2)：1-1£Citation:LI Zhongwu,WANG Lei,RAN Fengwei,et al.Source analysis of heavy metals in sediments o£West Dongting Lake based on APCS-MLR model］...
水污染来源的精准识别一直是水环境管理的热点和难点问题,为了解沱河流域水质特征与污染来源,该研究基于16个监测点位月尺度水质数据,采用绝对主成分-多元线性回归(APCS-MLR)模型,解析污染来源及其主要贡献.结果表明:①COD是年度超标因子,总磷和氟化物在部分月份超标,水质从汛期至11月较差.②城镇生活与城市径流是影响...
目前，土壤重金属源解析方法主要有绝对主成分得分-多元线性回归（Absolute Principal Component Score-Multiple Linear Regression，APCS-MLR）模型、正矩阵分解（Positive Matrix Factorization，PMF）模型和化学质量平衡（Chemical Mass Balance，CMB）等[6-8]。源解析方法可识别出土壤重金属的主要污染源，如农业源、工业源...
(Cu), zinc(Zn), and nickel(Ni)in Xiangtan County's farmland soil, were qualitatively and quantitatively analyzed using geostatistics and mathematical statistics including correlation analysis, factor analysis, and the absolute principal component scores/multiple linear regression(APCS-MLR)receptor model. ...
Geostatistical analysis and the APCS-MLR model have apportioned four pollution sources. The Mn and Ni were attributed to natural sources; As and Cr were from agricultural activities; Cu and Zn were originated from natural sources; Cd and Pb were derived from atmospheric deposition. Atmospheric ...
The results of APCS-MLR model showed that the contribution rates of traffic source to Zn, Cr, Ni and Pb were 106.199%, 281.404%, 117.563% and 100.266%, respectively; the contribution rate of agricultural source to Cu was 154.682%. The results are basically the same...
Absolute principal component score-multiple linear regression (APCS-MLR) model was adopted to explore the main sources of biogenic elements. Results showed that, in terms of season, the concentrations of total nitrogen (TN), total phosphorus (TP), and dissolved organic carbon (DOC) were ...
China as the research object, this study aims to implement a source analysis of heavy metals using the Absolute Principal Component Score-Multiple Linear Regression (APCS-MLR) model combined with geographical and correlation analysis, according to the geographic ...