A Bayesian generalized log-normal model to dynamically evaluate the distribution of pesticide residues in soil associated with population health risks-Reference-Cited by-同舟云学术

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A Bayesian generalized log-normal model to dynamically evaluate the distribution of pesticide residues in soil associated with population health risks

Published:2018-12 Issue: Volume:121 Page:620-634
ISSN:0160-4120
Container-title:Environment International
language:en
Short-container-title:Environment International

Author:

Li Zijian^ORCID

Publisher

Elsevier BV

Subject

General Environmental Science

Reference80 articles.

1. Pesticides industry sales and usage 2008–2012 market estimates;Atwood,2017

2. The value of using imprecise probabilities in engineering design;Aughenbaugh;J. Mech. Des.,2006

3. The case for objective Bayesian analysis;Berger;Bayesian Anal.,2006

4. The second law of thermodynamics;Boltzmann,1974

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1. Analysis of nationwide soil pesticide pollution: Insights from China;Environmental Research;2024-07

2. Assessing potential soil pollution from plant waste disposal: A modeling analysis of pesticide contamination;Science of The Total Environment;2024-01

3. Modeling banana uptake of pesticides by incorporating a peel-pulp interaction system into a multicompartment fruit tree model;Journal of Hazardous Materials;2023-02

4. Kinetics of Gaseous Indoor Air Pollutants: Integrated Analysis of Air Exchange, Decay, and Emission Rates;2023

5. Enhanced Models of Chronic Human Exposure to Chemicals with Lognormal Distributions for the Duration;Environmental Modeling & Assessment;2022-08-30

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