An approach for environmental risk assessment of engineered nanomaterials using Analytical Hierarchy Process (AHP) and fuzzy inference rules

2016 ◽  
Vol 92-93 ◽  
pp. 334-347 ◽  
Author(s):  
Emel Topuz ◽  
Cornelis A.M. van Gestel
Keyword(s):  
Risk Assessment ◽  
Environmental Risk ◽  
Analytical Hierarchy Process ◽  
Environmental Risk Assessment ◽  
Fuzzy Inference ◽  
Engineered Nanomaterials ◽  
Inference Rules ◽  
Hierarchy Process

scholarly journals The role of alternative testing strategies in environmental risk assessment of engineered nanomaterials

2017 ◽  
Vol 4 (2) ◽  
pp. 292-301 ◽  
Author(s):  
Rune Hjorth ◽  
Patricia A. Holden ◽  
Steffen Foss Hansen ◽  
Benjamin P. Colman ◽  
Khara Grieger ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Environmental Risk ◽  
Environmental Risk Assessment ◽  
Engineered Nanomaterials ◽  
Animal Testing ◽  
Test Systems ◽  
Testing Strategies ◽  
Alternative Testing ◽  
Alternative Testing Strategies

Within toxicology there is a pressure to find new test systems to replace, reduce and refine animal testing. In nanoecotoxicology this raises a number of questions.

Probabilistic modelling of engineered nanomaterial emissions to the environment: a spatio-temporal approach

2015 ◽  
Vol 2 (4) ◽  
pp. 340-351 ◽  
Author(s):  
Tian Yin Sun ◽  
Gulliver Conroy ◽  
Erica Donner ◽  
Konrad Hungerbühler ◽  
Enzo Lombi ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Environmental Risk ◽  
Environmental Risk Assessment ◽  
Engineered Nanomaterials ◽  
Probabilistic Modelling ◽  
Environmental Concentrations ◽  
Engineered Nanomaterial ◽  
Spatio Temporal

For the environmental risk assessment of engineered nanomaterials (ENM) knowledge about environmental concentrations is crucial.

Nano-QSAR modeling for ecosafe design of heterogeneous TiO2-based nano-photocatalysts

2018 ◽  
Vol 5 (5) ◽  
pp. 1150-1160 ◽  
Author(s):  
Alicja Mikolajczyk ◽  
Agnieszka Gajewicz ◽  
Ewa Mulkiewicz ◽  
Bakhtiyor Rasulev ◽  
Martyna Marchelek ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Human Health ◽  
Environmental Risk ◽  
Environmental Risk Assessment ◽  
Engineered Nanomaterials ◽  
Qsar Modeling ◽  
High Interest

The human health and environmental risk assessment of engineered nanomaterials (NPs) is nowadays of high interest.

scholarly journals Contribution of mesocosm testing to a single-step and exposure-driven environmental risk assessment of engineered nanomaterials

NanoImpact ◽  
2019 ◽  
Vol 13 ◽  
pp. 66-69 ◽  
Author(s):  
Mélanie Auffan ◽  
Armand Masion ◽  
Catherine Mouneyrac ◽  
Camille de Garidel-Thoron ◽  
Christine Ogilvie Hendren ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Environmental Risk ◽  
Environmental Risk Assessment ◽  
Single Step ◽  
Engineered Nanomaterials

scholarly journals Addressing a bottle neck for regulation of nanomaterials: quantitative read-across (Nano-QRA) algorithm for cases when only limited data is available

2017 ◽  
Vol 4 (2) ◽  
pp. 346-358 ◽  
Author(s):  
A. Gajewicz ◽  
K. Jagiello ◽  
M. T. D. Cronin ◽  
J. Leszczynski ◽  
T. Puzyn
Keyword(s):  
Experimental Data ◽  
Risk Assessment ◽  
Human Health ◽  
Environmental Risk ◽  
Environmental Risk Assessment ◽  
In Silico ◽  
Engineered Nanomaterials ◽  
Limited Data ◽  
Data Gaps ◽  
Bottle Neck

The development ofin silicomethods that support human health and environmental risk assessment of engineered nanomaterials is nowadays of high interest, because the application of those methods enables to fill the existing experimental data gaps.

scholarly journals Characterisation of Engineered Nanomaterials in Nano-Enabled Products Exhibiting Priority Environmental Exposure

Molecules ◽  
2021 ◽  
Vol 26 (5) ◽  
pp. 1370
Author(s):  
Raisibe Florence Lehutso ◽  
Yolanda Tancu ◽  
Arjun Maity ◽  
Melusi Thwala
Keyword(s):  
Risk Assessment ◽  
Environmental Risk ◽  
Real World ◽  
Environmental Risk Assessment ◽  
Total Concentration ◽  
Accurate Determination ◽  
Environmental Safety ◽  
Engineered Nanomaterials ◽  
Safety Guidelines

Analytical limitations have constrained the determination of nanopollution character from real-world sources such as nano-enabled products (NEPs), thus hindering the development of environmental safety guidelines for engineered nanomaterials (ENMs). This study examined the properties of ENMs in 18 commercial products: sunscreens, personal care products, clothing, and paints—products exhibiting medium to a high potential for environmental nanopollution. It was found that 17 of the products contained ENMs; 9, 3, 3, and 2 were incorporated with nTiO2, nAg, binaries of nZnO + nTiO2, and nTiO2 + nAg, respectively. Commonly, the nTiO2 were elongated or angular, whereas nAg and nZnO were near-spherical and angular in morphology, respectively. The size ranges (width × length) were 7–48 × 14–200, 34–35 × 37–38, and 18–28 nm for nTiO2, nZnO, and nAg respectively. All ENMs were negatively charged. The total concentration of Ti, Zn, and Ag in the NEPs were 2.3 × 10−4–4.3%, 3.4–4.3%, and 1.0 × 10−4–11.3 × 10−3%, respectively. The study determined some key ENM characteristics required for environmental risk assessment; however, challenges persist regarding the accurate determination of the concentration in NEPs. Overall, the study confirmed NEPs as actual sources of nanopollution; hence, scenario-specific efforts are recommended to quantify their loads into water resources.

scholarly journals Environmental Risk Assessment of Subway Station Construction to Achieve Sustainability Using the Intuitionistic Fuzzy Analytic Hierarchy Process and Set Pair Analysis

2021 ◽  
Vol 2021 ◽  
pp. 1-17
Author(s):  
Junwu Wang ◽  
Sen Liu ◽  
Yinghui Song ◽  
Jing Wang ◽  
Han Wu
Keyword(s):  
Risk Assessment ◽  
Analytic Hierarchy Process ◽  
Environmental Risk ◽  
Environmental Risk Assessment ◽  
Set Pair Analysis ◽  
Analytic Hierarchy ◽  
Proposed Model ◽  
Hierarchy Process ◽  
Pair Analysis

Environmental risks have a significant impact on the sustainability of subway station construction projects. This paper proposes an environmental risk assessment model based on the intuitionistic fuzzy analytic hierarchy process (IFAHP) and set pair analysis (SPA) to deal with the ambiguity and uncertainty in the assessment. An index system for environmental risk assessment is established based on a literature review and the rough set method. Subsequently, the IFAHP is used to calculate the indicator weights to describe the certainty, uncertainty, and hesitation degree of expert decisions in the weighting calculation by means of affiliation, nonaffiliation, and hesitation. Finally, SPA, which can deal with the randomness, uncertainty, and ambiguity of the indicators, is used to assess environmental risk. A case study of two typical stations (Lushan Avenue Station and Huilong Road West Station) of Metro Line 11 in Chengdu, China, is conducted. The case study results are consistent with field surveys. The evaluation results of the proposed model are more objective and reasonable than those of the traditional analytic hierarchy process, the entropy weight method, fuzzy comprehensive evaluation, grey correlation analysis, and technique for order of preference by similarity to an ideal solution (TOPSIS). The research results prove the scientific validity and superiority of the proposed model.

scholarly journals An Evidential Model for Environmental Risk Assessment in Projects Using Dempster–Shafer Theory of Evidence

2019 ◽  
Vol 11 (22) ◽  
pp. 6329 ◽  
Author(s):  
Hatefi ◽  
Basiri ◽  
Tamošaitienė
Keyword(s):  
Risk Assessment ◽  
Sustainable Development ◽  
Environmental Risk ◽  
Environmental Risk Assessment ◽  
Fuzzy Inference ◽  
Inference System ◽  
Dempster Shafer Theory ◽  
Proposed Model ◽  
Shafer Theory ◽  
Theory Of Evidence

One of the goals of sustainable development is to achieve economic and social growth according to environmental criteria. Nowadays, impact assessment is an efficient decision making method in planning and management with environmental perspectives. Environmental risk assessment is a tool to reduce the impacts and consequences of various activities on the environment in order to achieve sustainable development. One of the commonly used environmental risk assessment methods is the probability–impact matrix method, which is known as a quantitative method for risk assessment of projects. In this method, numerical estimates of probability and impact of risk occurrence are very difficult, and these factors are associated with uncertainty. When uncertainty exists, data integration is of great importance, for which the fuzzy inference system and evidence theory are known as effective methods. Unavailability of experts’ opinion and the exponential growth of the number of required fuzzy rules associated with the risk factors are two drawbacks of fuzzy inference. Dempster–Shafer’s theory of evidence is one of the popular theories used in intelligent systems for modeling and reasoning under uncertainty and inaccuracy. In this paper, an evidential model for project environmental risk assessment is proposed based on the Dempster–Shafer theory, which is capable of taking into account the uncertainties. The proposed model is used to assess the environmental risks of Maroon oil pipelines in Isfahan. In addition, the proposed model is used in the case of tunneling risk assessment taken from the subject literature. To evaluate the validity of the proposed evidential model, the results are compared in two case studies, with the results of the conventional risk assessment method and the fuzzy inference system method. The comparative results show that the proposed model has a high potential for project risk assessment under an uncertain environment.

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