New technologies as decision aids for the advancement of ecological risk assessment

Chele, Federico Sinche; Jimenez‐Pazmino, Priscilla; Läufer, Konstantin

doi:10.1002/ieam.4815

New technologies as decision aids for the advancement of ecological risk assessment

Journal Article · Mon Aug 28 00:00:00 EDT 2023 · Integrated Environmental Assessment and Management

DOI:https://doi.org/10.1002/ieam.4815· OSTI ID:2000330

^[1]; Jimenez‐Pazmino, Priscilla ^[2]; Läufer, Konstantin ^[3]

Southern Illinois Univ., Carbondale, IL (United States); Loyola University, Chicago, IL (United States); Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
Grinnell College, IA (United States)
Loyola University, Chicago, IL (United States)

Moore's law states that the number of transistors that can be placed on an integrated circuit doubles every two years (Moore, 1975). This has led to a steady increase in the processing power of computers over time, and technology is now enhancing and advancing software and scientific applications, which has enabled computationally intensive methods such as machine learning, data science, modeling, and simulation. The advancement of computers and data-driven algorithms is profoundly impacting people's lives. It is changing the way we work, the way we learn, and the way we interact with the world around us. Here, this editorial will discuss how scientists can benefit from the latest technology advancements and related tools by incorporating them into the ecological risk assessment (ERA) to study ecosystems as a way to create refined assessments and accelerate the turnaround times.

View Accepted Manuscript (DOE)

Research Organization:: Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)

Sponsoring Organization:: USDOE

Grant/Contract Number:: AC05-00OR22725

OSTI ID:: 2000330

Journal Information:: Integrated Environmental Assessment and Management, Journal Name: Integrated Environmental Assessment and Management Journal Issue: 5 Vol. 19; ISSN 1551-3777

Publisher:: WileyCopyright Statement

Country of Publication:: United States

Language:: English

References (15)

A chemical activity approach to exposure and risk assessment of chemicals Gobas, Frank A. P. C.; Mayer, Philipp; Parkerton, Thomas F. Environmental Toxicology and Chemistry, Vol. 37, Issue 5 https://doi.org/10.1002/etc.4091	journal	April 2018
A geospatial and binomial logistic regression model to prioritize sampling for per‐ and polyfluorinated alkyl substances in public water systems Ojha, Sweta; Li, Ying; Rezaei, Nader Integrated Environmental Assessment and Management, Vol. 19, Issue 1 https://doi.org/10.1002/ieam.4614	journal	May 2022
Application of autonomous sensor technology to estimate selenium exposure and a site‐specific selenium threshold in a Canadian boreal lake Peixoto Mendes, Maíra; Cupe‐Flores, Beatriz; Panigrahi, Banamali Integrated Environmental Assessment and Management, Vol. 19, Issue 2 https://doi.org/10.1002/ieam.4644	journal	July 2022
Establishing a NexGen, mechanism‐based environmental risk assessment paradigm shift: Are we ready yet? Rivetti, Claudia; Campos, Bruno Integrated Environmental Assessment and Management, Vol. 19, Issue 3 https://doi.org/10.1002/ieam.4763	journal	April 2023
Risks to Aquatic Organisms from Use of Chlorpyrifos in the United States Giddings, Jeffrey M.; Williams, W. Martin; Solomon, Keith R. Ecological Risk Assessment for Chlorpyrifos in Terrestrial and Aquatic Systems in the United States https://doi.org/10.1007/978-3-319-03865-0_5	book	January 2014
3D simulation model of water infiltration for radioactive waste on a virtual reality Environment: An application to the Abadia de Goiás repository Gabcan, L.; Alves, A. S. M.; Frutuoso e. Melo, P. F. Annals of Nuclear Energy, Vol. 140 https://doi.org/10.1016/j.anucene.2019.107265	journal	June 2020
Differing behavioral changes in crayfish and bluegill under short- and long-chain PFAS exposures: Field study in Northern Michigan, USA Coy, Carrie O.; Steele, Alexandra N.; Abdulelah, Sara A. Ecotoxicology and Environmental Safety, Vol. 247 https://doi.org/10.1016/j.ecoenv.2022.114212	journal	December 2022
Data mining and linked open data – New perspectives for data analysis in environmental research Lausch, Angela; Schmidt, Andreas; Tischendorf, Lutz Ecological Modelling, Vol. 295 https://doi.org/10.1016/j.ecolmodel.2014.09.018	journal	January 2015
A review of the application of machine learning in water quality evaluation Zhu, Mengyuan; Wang, Jiawei; Yang, Xiao Eco-Environment & Health, Vol. 1, Issue 2 https://doi.org/10.1016/j.eehl.2022.06.001	journal	June 2022
A novel water quality data analysis framework based on time-series data mining Deng, Weihui; Wang, Guoyin Journal of Environmental Management, Vol. 196 https://doi.org/10.1016/j.jenvman.2017.03.024	journal	July 2017
Human and natural impacts on the U.S. freshwater salinization and alkalinization: A machine learning approach E., Beibei; Zhang, Shuang; Driscoll, Charles T. Science of The Total Environment, Vol. 889 https://doi.org/10.1016/j.scitotenv.2023.164138	journal	September 2023
The U.S. Environmental Protection Agency's Generic Ecological Assessment Endpoints Suter, Glenn W.; Rodier, Donald J.; Schwenk, Scott Human and Ecological Risk Assessment: An International Journal, Vol. 10, Issue 6 https://doi.org/10.1080/10807030490887104	journal	December 2004
A Multi-sensor Process for In-Situ Monitoring of Water Pollution in Rivers or Lakes for High-Resolution Quantitative and Qualitative Water Quality Data Randhawa, Sukanya; Sandha, Sandeep S.; Srivastava, Biplav 2016 IEEE Intl Conference on Computational Science and Engineering (CSE) and IEEE Intl Conference on Embedded and Ubiquitous Computing (EUC) and 15th Intl Symposium on Distributed Computing and Applications for Business Engineering (DCABES) https://doi.org/10.1109/CSE-EUC-DCABES.2016.171	conference	August 2016
Enhancing the Ecological Risk Assessment Process Dale, Virginia H.; Biddinger, Gregory R.; Newman, Michael C. Integrated Environmental Assessment and Management, Vol. 4, Issue 3 https://doi.org/10.1897/IEAM_2007-066.1	journal	January 2008
Virtual reality in urban water management: communicating urban flooding with particle-based CFD simulations Winkler, Daniel; Zischg, Jonatan; Rauch, Wolfgang Water Science and Technology, Vol. 77, Issue 2 https://doi.org/10.2166/wst.2017.567	journal	November 2017

Similar Records

Reference compilation: Performing qualitative and quantitative ecological risk assessments at hazardous waste sites

Conference · Fri Dec 30 23:00:00 EST 1994 · OSTI ID:40175

The emergence of ecological risk assessment

Journal Article · Mon Jun 01 00:00:00 EDT 1992 · Risk Analysis · OSTI ID:62885

Enhancing the Ecological Risk Assessment Process

Journal Article · Mon Dec 31 23:00:00 EST 2007 · Integrated Environmental Assessment and Management · OSTI ID:988706

Related Subjects

54 ENVIRONMENTAL SCIENCES

New technologies as decision aids for the advancement of ecological risk assessment

Citation Formats

References (15)

Similar Records

Related Subjects