绝对因子分析/多元线性回归受体模型（APCS—MLR）的基本原理是将因子分析的主因子得分转化为绝对主因子得分（APCS），各指标含量再分别对所有的APCS进行多元线性回归，回归系数用于计算各个主因子对应的污染源对每个样本点位某指标含量的贡献量。 2.数据标准化：分析——描述统计——描述——选中变量并导入——选中将标准化另存为变量（！ ）——确定。 注：在步骤2结束后我们会发现数据集窗口生成了新的变量，新变量的列名是旧变量列名的前面加了z。 如 …

结合相关性分析、聚类分析、绝对主成分-多元线性回归（APCS-MLR）和正定矩阵因子分析（PMF）等解析污染来源及其贡献，运用富集系数法、地质累积指数法、沉积物污染指数法和沉积物质量基准法（SQG）对重金属进行了风险评估. 结果表明，除As外，Cu、Fe、Zn、Pb、Cr、Cd、Mn和Ni的平均含量均超过背景值；空间上重金属含量较高的采样点基本都出现在河流汇合处及人类活动的密集区. 相关性分析、聚类分析和PCA/APCS分析表明，塔里木河上游沉积物的 …

2023年2月1日 · The unknown sources have positive correlations with FC2, FC4, and APCS2, indicating that these factors can explain the composition of the unidentified sources to some extent. Both models identified four sources, which were natural sources, a mixture of manufacturing and hydrodynamic transport erosion source, industrial wastewater and traffic ...

将每个样品的因子得分与人为样本做减法, 计算出每种重金属的绝对主成分因子 (APCS). 潜在生态风险指数 (potential ecological risk index, PERI)是由瑞典科学家Håkanson于20世纪80年代创建的 [39], 该方法主要以土壤、沉积物中重金属的元素背景值为基础, 并结合重金属的生物毒性系数、生态效应和环境效应, 计算出重金属生态风险指数 [40, 41].其计算公式如下：

2023年6月30日 · APCS2 mainly contributed to Cr at a higher rate of 40.51% and could be combined with the spatial pattern of Cr in soil layer B, which is very consistent with the PCA results and similar to the Cr analysis results for soil layer A.

2020年9月3日 · The hotspots of APCS2, PMF-F2, Cu and Zn coincided with the spatial distribution of agricultural land types including grain crop land, orchard land and vegetable land. Agricultural chemical fertilizers are an important source of Cu and Zn enrichment, and phosphorus fertilizer is present in the highest amount in all inorganic fertilizers [ 49 ...

APCS2 Final Project -- Tower Defense Game. Shakil Rafi, Alitquan Mallick, Arif Roktim. What is it? This project is a tower defense game. Enemies are spawned at the beginning of a path and they travel along it until they reach the endpoint.

Final Project for APCS2: Bloons Tower Defense. Contribute to jschluger/a2fp_PABLO development by creating an account on GitHub.

APCS大學程式設計先修檢測，藉由舉辦具公信力之「程式設計檢測」，讓具備程式設計能力之高中職學生，能夠檢驗學習成果，並供作大學選才的參考依據。

Abstract: In order to investigate the water quality characteristics and pollution sources of the Tuohe River, this study used the absolute principal component score-multiple linear regression receptor modeling (APCS-MLR) technique to quantify the source contribution rate of each pollution factor based on the 81 monthly monitoring water quality d...