Assessment and source apportionment of toxic metal in soils using integrated positive matrix factorization and Bayesian maximum entropy: A case study in Z county, southeastern China
Soil pollution by toxic metals has become an important environmental problem over the last several decades. Because of environmental factor variation, specific spatial patterns of pollution and sources exist. However, commonly used methods rarely take natural spatial heterogeneity into account. Posi...
Main Authors: | Xufeng Fei, George Christakos, Zhaohan Lou, Rui Xiao, Xiaonan Lv, Zhouqiao Ren |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2022-12-01
|
Series: | Ecological Indicators |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S1470160X22011207 |
Similar Items
-
Objective Bayesianism and the Maximum Entropy Principle
by: Jon Williamson, et al.
Published: (2013-09-01) -
Estimation of Soil Depth Using Bayesian Maximum Entropy Method
by: Kuo-Wei Liao, et al.
Published: (2019-01-01) -
Comparison Between Bayesian and Maximum Entropy Analyses of Flow Networks†
by: Steven H. Waldrip, et al.
Published: (2017-02-01) -
Bayesian interence and maximum entropy methods in science and engineering : 26th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering : Paris, France, 8-13 July 2006 /
by: International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering (26th : 2006 : Paris, France), et al.
Published: (2006) -
Bayesian inference and maximum entropy methods in science and engineering : 25th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering, San Jose, California, 7-12 August 2005 /
by: International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering (25th : 2005 : San Jose, CA.), et al.
Published: (2005)