Understanding the evolution of pollutants via hierarchical complexity of space-time deterministic and stochastic dynamical systems-Reference-Cited by-同舟云学术

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Understanding the evolution of pollutants via hierarchical complexity of space-time deterministic and stochastic dynamical systems

Published:2020-03 Issue: Volume:710 Page:136245
ISSN:0048-9697
Container-title:Science of The Total Environment
language:en
Short-container-title:Science of The Total Environment

Author:

Zavala-Yoe Ricardo,Iqbal Hafiz M.N.^ORCID,Ramirez-Mendoza Ricardo A.

Publisher

Elsevier BV

Subject

Pollution,Waste Management and Disposal,Environmental Chemistry,Environmental Engineering

Reference65 articles.

1. Distribution of the maximum in air pollution fields;Aberg;Environmetrics,2008

2. The geometry of random fields;Adler,2010

3. Energy Science: Principles, Technologies, and Impacts;Andrews,2017

4. Modeling the pollution of a system of lakes;Biazar;Appl. Math. Comput.,2006

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3. A review of the current environmental status and human health implications of one of the most polluted rivers of Mexico: The Atoyac River, Puebla;Science of The Total Environment;2021-08

4. Solutions and Challenges in Computing FBSDEs with Large Jumps for Dam and Reservoir System Operation;Computational Science – ICCS 2021;2021

5. Time to Automate the Microbial Detection and Identification: The Status Quo;Journal of Pure and Applied Microbiology;2020-03-31

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