摘要：
<jats:title>Abstract</jats:title><jats:p>In order to enhance the controlled‐release property of starch‐based polyurethane (SPU) coating, polyurethane/montmorillonite (SPU/MMT) composite coatings for controlled‐release urea were prepared by in‐situ polymerization with a rotating drum. The effect of MMT on morphology, structure, physico‐chemical properties, especially controlled‐release property of the as‐prepared composite coatings were studied in detail. The results showed that MMT particles dispersed well in SPU matrix, and the obtained SPU/MMT composite coatings possessed more tough and compact morphology with less‐visible holes compared with SPU coating. With the content of MMT rising to 3%, the time needed for 75% nitrogen release increased to 49 days, much longer than 14 days of SPU coating. Further, the nitrogen release mechanism underlying the structure and properties of SPU/MMT composite coatings were discussed and elucidated. According to the analysis, the superior controlled‐release property of SPU/MMT coatings originated from the impermeablity to water molecules of layered MMT acting as mechanical barriers to increase the diffusion path and resistance, the enhanced crosslinking density and hydrophobicity of composite system due to the introduction of MMT, as well as the improved mechanical properties hindering the formation of cracks and enlargement of the holes on the surface of composite coatings.</jats:p>
期刊：
Journal of Cleaner Production,2020年258:120945 ISSN：0959-6526
通讯作者：
Wang, Hanqing
作者机构：
[Ding, Rui; Sui, Yang; Wang, Hanqing] Univ South China, Sch Nucl Sci & Technol, Hengyang 421001, Peoples R China.;[Sui, Yang] Fujian Fuqing Nucl Power Co Ltd, Fuqing 350300, Peoples R China.
通讯机构：
[Wang, Hanqing] U;Univ South China, Sch Nucl Sci & Technol, Hengyang 421001, Peoples R China.
关键词：
Bibliometric and scientometric analysis-based review of construction safety and health research in developing countries from 1990 to 2021 2022;Safety Science Citation Excerpt : Other studies are H&S management practices (Aghimien et al.;H&S management systems in construction contractor organisations (Okonkwo and Wuim 2020);and Safety management in infrastructure projects (Ammad et al. 2020). Accident prevention and management: A lot of research (as highlighted in Figs. 3;6 and 7 and Table 1) focus on construction site safety such as how construction workers respond to thermal in summer (Fang et al.;semiotics for H&S signs comprehension on construction sites (Alara et al 2019);scaffolding and H&S (Smallwood 2006);accident analysis of the industry (Abdullah and Wern 2011) and accident prevention (Yang et al 2020). Under-reporting of construction accidents (De Silva et al.;assessing accidents on construction sites and the role of management are also covered. Show abstract This bibliometric and scientometric analyses and critical review of construction health and safety (H&S) research in developing countries (DCs) over the past 31 years;identifies its trends;dissemination;knowledge gaps;study implications;and direction of future research. These are area overlooked. Using a science mapping approach;involving systematic bibliometric analysis of the Scopus database and scientometric analysis with VOSViewer software;this research fills the knowledge gap. The findings include that while construction H&S research is growing in a few countries such as China and South Africa;the majority of DCs such as Venezuela are yet to experience this increase. However;the research focus is not aligned with their problems. The studies examined mainly focus on risk-based research (e.g. risk management and assessment);accidents;human-related factors;safety management;site safety;and performance management. The research focus of construction H&S scholars in DCs differs from their global counterparts. Equality;diversity and inclusion in construction H&S;and safety culture and climate are still minimal. Many aspects of industry 4.0 concerning safety need to be examined;for example;‘Big data and construction H&S';and industry 4.0 skills and knowledge requirements for construction H&S -associated activities. There is linear relationship (correlation) between keywords occurrences and their total strength. Mainly quantitative surveys and analytic hierarchy processes (AHP) are adopted;hence the need for qualitative methods studies. The study provides the first detailed evidence of the characteristics of construction H&S research in DCs and its underrepresentation in H&S research. Developing a Holistic Occupational Health and Safety risk assessment model: An application to a case of sustainable construction project 2021;Journal of Cleaner Production Show abstract The construction industry has always been infamous due to its staggering numbers of Occupational Health and Safety (OHS)-related injuries;resulting from overlooking all the crucial aspects endangering the involved workers’ lives. Considering this;there has been dearth of a study including all the essential Risk Parameters (RPs) for comprehensively assessing the OHS in the construction industry. Theretofore;a Holistic Occupational Health and Safety Risk Assessment Model (HOHSRAM) is developed in the current study to assess the safety and health of the Construction Workers (CWs’). The developed model is based on the integration of logarithmic fuzzy ANP;interval-valued Pythagorean fuzzy TOPSIS;and grey relational analysis. Based on the application of the developed HOHSRAM to a case of sustainable construction project;the following contributions have been noted;(1) calculating weights related to the safety decision makers having different backgrounds involved in the study using logarithmic-fuzzy-based constrained optimization algorithm;(2) involving the individual biases of the decision makers in the assessment stage;(3) determining all the essential RPs to comprehensively assess the OHS within the construction projects in a systematic way;(4) obtaining the final rankings of the identified safety risks under an interval-valued-Pythagorean fuzzy environment coupled with grey relational analysis. Additionally;it is discerned that the proposed model in this research outperforms the existing assessment methods used in the construction industry;through conducting a comprehensive comparative analysis. The developed HOHSRAM is verified to be beneficial for safety professionals by providing them with an inclusive ranking system;improving the well-being of the involved CWs. Prioritizing risks in sustainable construction projects using a risk matrix-based Monte Carlo Simulation approach 2021;Sustainable Cities and Society Show abstract Sustainability-related risks and risk management frameworks have been introduced in the literature to help project managers identify and manage critical risks influencing project sustainability. Theoretically grounded in the framework of Monte Carlo Simulation;this paper introduces and operationalizes a new process for prioritizing sustainability-related project risks using risk matrix data. Sustainability-related construction project risks have never been assessed relative to different confidence levels across the risk matrix-based exposure zones. The application of the proposed process on construction projects completed in the United Arab Emirates reveals that the conventional risk prioritization scheme undermines the importance of tail risks (unexpected events);whereas such risks are captured in the proposed process. In contrast to the most critical risks identified using the conventional scheme such as shortage of client’s funding;insufficient or incorrect sustainable design operation;and design changes;the proposed process prioritizes risks such as poor productivity of labor and equipment in sustainable construction;unreasonable tight schedule for sustainable construction;and poor scope definition of sustainable construction. The proposed process is generalizable to prioritizing risks influencing sustainability in international construction projects and beneficial for enhancing project sustainability as there is a huge uncertainty associated with sustainability-related risks. A multi-criteria decision-making framework for site selection of distributed PV power stations along high-speed railway 2020;Journal of Cleaner Production Show abstract The construction of distributed photovoltaic power stations (DPVPS) along high-speed railway can supply power for the traction power supply system (TPSS) of high-speed railway. The DPVPS site selection is a natural call from the practice with the consideration of full use of solar PV. This paper addresses a multi-criteria decision-making (MCDM) framework for DPVPS site selection along high-speed railway for the first time. In this framework;an evaluation criteria system is established. Considering the particularity of DPVPS site selection problem along high-speed railway;two new criteria namely power consumption capacity of high-speed railway TPSS and impact on high-speed railway TPSS are presented innovatively. In view of the strong grey correlations among criteria;the fuzzy grey relational projection (FGRP) method is applied to select the optimal site which is greatly suitable to deal with the grey correlations. A case in Hebei Province with sensitivity analysis also illustrates the robustness and effectiveness of the framework. The calculation results of the case indicate that the sub-criteria of impact on high-speed railway TPSS (C26) has the largest comprehensive weight;which is 0.129. Among the four candidate sites;G1 gets the highest final score of 0.653. This paper puts forward an effective tool for railway companies to choose the most suitable site to build DPVPS along high-speed railway;which has the certain practical significance. Occupational health and safety risk assessment using an integrated SWARA-MABAC model under bipolar fuzzy environment 2020;Computational and Applied Mathematics Nuclear power plants with artificial intelligence in industry 4.0 era: Top-level design and current applications—a systemic review 2020;IEEE Access View all citing articles on Scopus Bibliometric and scientometric analysis-based review of construction safety and health research in developing countries from 1990 to 2021 2022;Safety Science Citation Excerpt : Other studies are H&S management practices (Aghimien et al.;H&S management systems in construction contractor organisations (Okonkwo and Wuim 2020);and Safety management in infrastructure projects (Ammad et al. 2020). Accident prevention and management: A lot of research (as highlighted in Figs. 3;6 and 7 and Table 1) focus on construction site safety such as how construction workers respond to thermal in summer (Fang et al.;semiotics for H&S signs comprehension on construction sites (Alara et al 2019);scaffolding and H&S (Smallwood 2006);accident analysis of the industry (Abdullah and Wern 2011) and accident prevention (Yang et al 2020). Under-reporting of construction accidents (De Silva et al.;assessing accidents on construction sites and the role of management are also covered. Show abstract This bibliometric and scientometric analyses and critical review of construction health and safety (H&S) research in developing countries (DCs) over the past 31 years;identifies its trends;dissemination;knowledge gaps;study implications;and direction of future research. These are area overlooked. Using a science mapping approach;involving systematic bibliometric analysis of the Scopus database and scientometric analysis with VOSViewer software;this research fills the knowledge gap. The findings include that while construction H&S research is growing in a few countries such as China and South Africa;the majority of DCs such as Venezuela are yet to experience this increase. However;the research focus is not aligned with their problems. The studies examined mainly focus on risk-based research (e.g. risk management and assessment);accidents;human-related factors;safety management;site safety;and performance management. The research focus of construction H&S scholars in DCs differs from their global counterparts. Equality;diversity and inclusion in construction H&S;and safety culture and climate are still minimal. Many aspects of industry 4.0 concerning safety need to be examined;for example;‘Big data and construction H&S';and industry 4.0 skills and knowledge requirements for construction H&S -associated activities. There is linear relationship (correlation) between keywords occurrences and their total strength. Mainly quantitative surveys and analytic hierarchy processes (AHP) are adopted;hence the need for qualitative methods studies. The study provides the first detailed evidence of the characteristics of construction H&S research in DCs and its underrepresentation in H&S research. Developing a Holistic Occupational Health and Safety risk assessment model: An application to a case of sustainable construction project 2021;Journal of Cleaner Production Show abstract The construction industry has always been infamous due to its staggering numbers of Occupational Health and Safety (OHS)-related injuries;resulting from overlooking all the crucial aspects endangering the involved workers’ lives. Considering this;there has been dearth of a study including all the essential Risk Parameters (RPs) for comprehensively assessing the OHS in the construction industry. Theretofore;a Holistic Occupational Health and Safety Risk Assessment Model (HOHSRAM) is developed in the current study to assess the safety and health of the Construction Workers (CWs’). The developed model is based on the integration of logarithmic fuzzy ANP;interval-valued Pythagorean fuzzy TOPSIS;and grey relational analysis. Based on the application of the developed HOHSRAM to a case of sustainable construction project;the following contributions have been noted;(1) calculating weights related to the safety decision makers having different backgrounds involved in the study using logarithmic-fuzzy-based constrained optimization algorithm;(2) involving the individual biases of the decision makers in the assessment stage;(3) determining all the essential RPs to comprehensively assess the OHS within the construction projects in a systematic way;(4) obtaining the final rankings of the identified safety risks under an interval-valued-Pythagorean fuzzy environment coupled with grey relational analysis. Additionally;it is discerned that the proposed model in this research outperforms the existing assessment methods used in the construction industry;through conducting a comprehensive comparative analysis. The developed HOHSRAM is verified to be beneficial for safety professionals by providing them with an inclusive ranking system;improving the well-being of the involved CWs. Prioritizing risks in sustainable construction projects using a risk matrix-based Monte Carlo Simulation approach 2021;Sustainable Cities and Society Show abstract Sustainability-related risks and risk management frameworks have been introduced in the literature to help project managers identify and manage critical risks influencing project sustainability. Theoretically grounded in the framework of Monte Carlo Simulation;this paper introduces and operationalizes a new process for prioritizing sustainability-related project risks using risk matrix data. Sustainability-related construction project risks have never been assessed relative to different confidence levels across the risk matrix-based exposure zones. The application of the proposed process on construction projects completed in the United Arab Emirates reveals that the conventional risk prioritization scheme undermines the importance of tail risks (unexpected events);whereas such risks are captured in the proposed process. In contrast to the most critical risks identified using the conventional scheme such as shortage of client’s funding;insufficient or incorrect sustainable design operation;and design changes;the proposed process prioritizes risks such as poor productivity of labor and equipment in sustainable construction;unreasonable tight schedule for sustainable construction;and poor scope definition of sustainable construction. The proposed process is generalizable to prioritizing risks influencing sustainability in international construction projects and beneficial for enhancing project sustainability as there is a huge uncertainty associated with sustainability-related risks. A multi-criteria decision-making framework for site selection of distributed PV power stations along high-speed railway 2020;Journal of Cleaner Production Show abstract The construction of distributed photovoltaic power stations (DPVPS) along high-speed railway can supply power for the traction power supply system (TPSS) of high-speed railway. The DPVPS site selection is a natural call from the practice with the consideration of full use of solar PV. This paper addresses a multi-criteria decision-making (MCDM) framework for DPVPS site selection along high-speed railway for the first time. In this framework;an evaluation criteria system is established. Considering the particularity of DPVPS site selection problem along high-speed railway;two new criteria namely power consumption capacity of high-speed railway TPSS and impact on high-speed railway TPSS are presented innovatively. In view of the strong grey correlations among criteria;the fuzzy grey relational projection (FGRP) method is applied to select the optimal site which is greatly suitable to deal with the grey correlations. A case in Hebei Province with sensitivity analysis also illustrates the robustness and effectiveness of the framework. The calculation results of the case indicate that the sub-criteria of impact on high-speed railway TPSS (C26) has the largest comprehensive weight;which is 0.129. Among the four candidate sites;G1 gets the highest final score of 0.653. This paper puts forward an effective tool for railway companies to choose the most suitable site to build DPVPS along high-speed railway;which has the certain practical significance. Occupational health and safety risk assessment using an integrated SWARA-MABAC model under bipolar fuzzy environment 2020;Computational and Applied Mathematics Nuclear power plants with artificial intelligence in industry 4.0 era: Top-level design and current applications—a systemic review 2020;IEEE Access View all citing articles on Scopus Bibliometric and scientometric analysis-based review of construction safety and health research in developing countries from 1990 to 2021 2022;Safety Science Citation Excerpt : Other studies are H&S management practices (Aghimien et al.;H&S management systems in construction contractor organisations (Okonkwo and Wuim 2020);and Safety management in infrastructure projects (Ammad et al. 2020). Accident prevention and management: A lot of research (as highlighted in Figs. 3;6 and 7 and Table 1) focus on construction site safety such as how construction workers respond to thermal in summer (Fang et al.;semiotics for H&S signs comprehension on construction sites (Alara et al 2019);scaffolding and H&S (Smallwood 2006);accident analysis of the industry (Abdullah and Wern 2011) and accident prevention (Yang et al 2020). Under-reporting of construction accidents (De Silva et al.;assessing accidents on construction sites and the role of management are also covered. 2022;Safety Science Citation Excerpt : Other studies are H&S management practices (Aghimien et al.;H&S management systems in construction contractor organisations (Okonkwo and Wuim 2020);and Safety management in infrastructure projects (Ammad et al. 2020). Accident prevention and management: A lot of research (as highlighted in Figs. 3;6 and 7 and Table 1) focus on construction site safety such as how construction workers respond to thermal in summer (Fang et al.;semiotics for H&S signs comprehension on construction sites (Alara et al 2019);scaffolding and H&S (Smallwood 2006);accident analysis of the industry (Abdullah and Wern 2011) and accident prevention (Yang et al 2020). Under-reporting of construction accidents (De Silva et al.;assessing accidents on construction sites and the role of management are also covered. Citation Excerpt : Other studies are H&S management practices (Aghimien et al.;H&S management systems in construction contractor organisations (Okonkwo and Wuim 2020);and Safety management in infrastructure projects (Ammad et al. 2020). Accident prevention and management: A lot of research (as highlighted in Figs. 3;6 and 7 and Table 1) focus on construction site safety such as how construction workers respond to thermal in summer (Fang et al.;semiotics for H&S signs comprehension on construction sites (Alara et al 2019);scaffolding and H&S (Smallwood 2006);accident analysis of the industry (Abdullah and Wern 2011) and accident prevention (Yang et al 2020). Under-reporting of construction accidents (De Silva et al.;assessing accidents on construction sites and the role of management are also covered. Citation Excerpt : Show abstract This bibliometric and scientometric analyses and critical review of construction health and safety (H&S) research in developing countries (DCs) over the past 31 years;identifies its trends;dissemination;knowledge gaps;study implications;and direction of future research. These are area overlooked. Using a science mapping approach;involving systematic bibliometric analysis of the Scopus database and scientometric analysis with VOSViewer software;this research fills the knowledge gap. The findings include that while construction H&S research is growing in a few countries such as China and South Africa;the majority of DCs such as Venezuela are yet to experience this increase. However;the research focus is not aligned with their problems. The studies examined mainly focus on risk-based research (e.g. risk management and assessment);accidents;human-related factors;safety management;site safety;and performance management. The research focus of construction H&S scholars in DCs differs from their global counterparts. Equality;diversity and inclusion in construction H&S;and safety culture and climate are still minimal. Many aspects of industry 4.0 concerning safety need to be examined;for example;‘Big data and construction H&S';and industry 4.0 skills and knowledge requirements for construction H&S -associated activities. There is linear relationship (correlation) between keywords occurrences and their total strength. Mainly quantitative surveys and analytic hierarchy processes (AHP) are adopted;hence the need for qualitative methods studies. The study provides the first detailed evidence of the characteristics of construction H&S research in DCs and its underrepresentation in H&S research. This bibliometric and scientometric analyses and critical review of construction health and safety (H&S) research in developing countries (DCs) over the past 31 years;identifies its trends;dissemination;knowledge gaps;study implications;and direction of future research. These are area overlooked. Using a science mapping approach;involving systematic bibliometric analysis of the Scopus database and scientometric analysis with VOSViewer software;this research fills the knowledge gap. The findings include that while construction H&S research is growing in a few countries such as China and South Africa;the majority of DCs such as Venezuela are yet to experience this increase. However;the research focus is not aligned with their problems. The studies examined mainly focus on risk-based research (e.g. risk management and assessment);accidents;human-related factors;safety management;site safety;and performance management. The research focus of construction H&S scholars in DCs differs from their global counterparts. Equality;diversity and inclusion in construction H&S;and safety culture and climate are still minimal. Many aspects of industry 4.0 concerning safety need to be examined;for example;‘Big data and construction H&S';and industry 4.0 skills and knowledge requirements for construction H&S -associated activities. There is linear relationship (correlation) between keywords occurrences and their total strength. Mainly quantitative surveys and analytic hierarchy processes (AHP) are adopted;hence the need for qualitative methods studies. The study provides the first detailed evidence of the characteristics of construction H&S research in DCs and its underrepresentation in H&S research. This bibliometric and scientometric analyses and critical review of construction health and safety (H&S) research in developing countries (DCs) over the past 31 years;identifies its trends;dissemination;knowledge gaps;study implications;and direction of future research. These are area overlooked. Using a science mapping approach;involving systematic bibliometric analysis of the Scopus database and scientometric analysis with VOSViewer software;this research fills the knowledge gap. The findings include that while construction H&S research is growing in a few countries such as China and South Africa;the majority of DCs such as Venezuela are yet to experience this increase. However;the research focus is not aligned with their problems. The studies examined mainly focus on risk-based research (e.g. risk management and assessment);accidents;human-related factors;safety management;site safety;and performance management. The research focus of construction H&S scholars in DCs differs from their global counterparts. Equality;diversity and inclusion in construction H&S;and safety culture and climate are still minimal. Many aspects of industry 4.0 concerning safety need to be examined;for example;‘Big data and construction H&S';and industry 4.0 skills and knowledge requirements for construction H&S -associated activities. There is linear relationship (correlation) between keywords occurrences and their total strength. Mainly quantitative surveys and analytic hierarchy processes (AHP) are adopted;hence the need for qualitative methods studies. The study provides the first detailed evidence of the characteristics of construction H&S research in DCs and its underrepresentation in H&S research. This bibliometric and scientometric analyses and critical review of construction health and safety (H&S) research in developing countries (DCs) over the past 31 years;identifies its trends;dissemination;knowledge gaps;study implications;and direction of future research. These are area overlooked. Using a science mapping approach;involving systematic bibliometric analysis of the Scopus database and scientometric analysis with VOSViewer software;this research fills the knowledge gap. The findings include that while construction H&S research is growing in a few countries such as China and South Africa;the majority of DCs such as Venezuela are yet to experience this increase. However;the research focus is not aligned with their problems. The studies examined mainly focus on risk-based research (e.g. risk management and assessment);accidents;human-related factors;safety management;site safety;and performance management. The research focus of construction H&S scholars in DCs differs from their global counterparts. Equality;diversity and inclusion in construction H&S;and safety culture and climate are still minimal. Many aspects of industry 4.0 concerning safety need to be examined;for example;‘Big data and construction H&S';and industry 4.0 skills and knowledge requirements for construction H&S -associated activities. There is linear relationship (correlation) between keywords occurrences and their total strength. Mainly quantitative surveys and analytic hierarchy processes (AHP) are adopted;hence the need for qualitative methods studies. The study provides the first detailed evidence of the characteristics of construction H&S research in DCs and its underrepresentation in H&S research. Developing a Holistic Occupational Health and Safety risk assessment model: An application to a case of sustainable construction project 2021;Journal of Cleaner Production 2021;Journal of Cleaner Production Show abstract The construction industry has always been infamous due to its staggering numbers of Occupational Health and Safety (OHS)-related injuries;resulting from overlooking all the crucial aspects endangering the involved workers’ lives. Considering this;there has been dearth of a study including all the essential Risk Parameters (RPs) for comprehensively assessing the OHS in the construction industry. Theretofore;a Holistic Occupational Health and Safety Risk Assessment Model (HOHSRAM) is developed in the current study to assess the safety and health of the Construction Workers (CWs’). The developed model is based on the integration of logarithmic fuzzy ANP;interval-valued Pythagorean fuzzy TOPSIS;and grey relational analysis. Based on the application of the developed HOHSRAM to a case of sustainable construction project;the following contributions have been noted;(1) calculating weights related to the safety decision makers having different backgrounds involved in the study using logarithmic-fuzzy-based constrained optimization algorithm;(2) involving the individual biases of the decision makers in the assessment stage;(3) determining all the essential RPs to comprehensively assess the OHS within the construction projects in a systematic way;(4) obtaining the final rankings of the identified safety risks under an interval-valued-Pythagorean fuzzy environment coupled with grey relational analysis. Additionally;it is discerned that the proposed model in this research outperforms the existing assessment methods used in the construction industry;through conducting a comprehensive comparative analysis. The developed HOHSRAM is verified to be beneficial for safety professionals by providing them with an inclusive ranking system;improving the well-being of the involved CWs. The construction industry has always been infamous due to its staggering numbers of Occupational Health and Safety (OHS)-related injuries;resulting from overlooking all the crucial aspects endangering the involved workers’ lives. Considering this;there has been dearth of a study including all the essential Risk Parameters (RPs) for comprehensively assessing the OHS in the construction industry. Theretofore;a Holistic Occupational Health and Safety Risk Assessment Model (HOHSRAM) is developed in the current study to assess the safety and health of the Construction Workers (CWs’). The developed model is based on the integration of logarithmic fuzzy ANP;interval-valued Pythagorean fuzzy TOPSIS;and grey relational analysis. Based on the application of the developed HOHSRAM to a case of sustainable construction project;the following contributions have been noted;(1) calculating weights related to the safety decision makers having different backgrounds involved in the study using logarithmic-fuzzy-based constrained optimization algorithm;(2) involving the individual biases of the decision makers in the assessment stage;(3) determining all the essential RPs to comprehensively assess the OHS within the construction projects in a systematic way;(4) obtaining the final rankings of the identified safety risks under an interval-valued-Pythagorean fuzzy environment coupled with grey relational analysis. Additionally;it is discerned that the proposed model in this research outperforms the existing assessment methods used in the construction industry;through conducting a comprehensive comparative analysis. The developed HOHSRAM is verified to be beneficial for safety professionals by providing them with an inclusive ranking system;improving the well-being of the involved CWs. The construction industry has always been infamous due to its staggering numbers of Occupational Health and Safety (OHS)-related injuries;resulting from overlooking all the crucial aspects endangering the involved workers’ lives. Considering this;there has been dearth of a study including all the essential Risk Parameters (RPs) for comprehensively assessing the OHS in the construction industry. Theretofore;a Holistic Occupational Health and Safety Risk Assessment Model (HOHSRAM) is developed in the current study to assess the safety and health of the Construction Workers (CWs’). The developed model is based on the integration of logarithmic fuzzy ANP;interval-valued Pythagorean fuzzy TOPSIS;and grey relational analysis. Based on the application of the developed HOHSRAM to a case of sustainable construction project;the following contributions have been noted;(1) calculating weights related to the safety decision makers having different backgrounds involved in the study using logarithmic-fuzzy-based constrained optimization algorithm;(2) involving the individual biases of the decision makers in the assessment stage;(3) determining all the essential RPs to comprehensively assess the OHS within the construction projects in a systematic way;(4) obtaining the final rankings of the identified safety risks under an interval-valued-Pythagorean fuzzy environment coupled with grey relational analysis. Additionally;it is discerned that the proposed model in this research outperforms the existing assessment methods used in the construction industry;through conducting a comprehensive comparative analysis. The developed HOHSRAM is verified to be beneficial for safety professionals by providing them with an inclusive ranking system;improving the well-being of the involved CWs. The construction industry has always been infamous due to its staggering numbers of Occupational Health and Safety (OHS)-related injuries;resulting from overlooking all the crucial aspects endangering the involved workers’ lives. Considering this;there has been dearth of a study including all the essential Risk Parameters (RPs) for comprehensively assessing the OHS in the construction industry. Theretofore;a Holistic Occupational Health and Safety Risk Assessment Model (HOHSRAM) is developed in the current study to assess the safety and health of the Construction Workers (CWs’). The developed model is based on the integration of logarithmic fuzzy ANP;interval-valued Pythagorean fuzzy TOPSIS;and grey relational analysis. Based on the application of the developed HOHSRAM to a case of sustainable construction project;the following contributions have been noted;(1) calculating weights related to the safety decision makers having different backgrounds involved in the study using logarithmic-fuzzy-based constrained optimization algorithm;(2) involving the individual biases of the decision makers in the assessment stage;(3) determining all the essential RPs to comprehensively assess the OHS within the construction projects in a systematic way;(4) obtaining the final rankings of the identified safety risks under an interval-valued-Pythagorean fuzzy environment coupled with grey relational analysis. Additionally;it is discerned that the proposed model in this research outperforms the existing assessment methods used in the construction industry;through conducting a comprehensive comparative analysis. The developed HOHSRAM is verified to be beneficial for safety professionals by providing them with an inclusive ranking system;improving the well-being of the involved CWs. Prioritizing risks in sustainable construction projects using a risk matrix-based Monte Carlo Simulation approach 2021;Sustainable Cities and Society 2021;Sustainable Cities and Society Show abstract Sustainability-related risks and risk management frameworks have been introduced in the literature to help project managers identify and manage critical risks influencing project sustainability. Theoretically grounded in the framework of Monte Carlo Simulation;this paper introduces and operationalizes a new process for prioritizing sustainability-related project risks using risk matrix data. Sustainability-related construction project risks have never been assessed relative to different confidence levels across the risk matrix-based exposure zones. The application of the proposed process on construction projects completed in the United Arab Emirates reveals that the conventional risk prioritization scheme undermines the importance of tail risks (unexpected events);whereas such risks are captured in the proposed process. In contrast to the most critical risks identified using the conventional scheme such as shortage of client’s funding;insufficient or incorrect sustainable design operation;and design changes;the proposed process prioritizes risks such as poor productivity of labor and equipment in sustainable construction;unreasonable tight schedule for sustainable construction;and poor scope definition of sustainable construction. The proposed process is generalizable to prioritizing risks influencing sustainability in international construction projects and beneficial for enhancing project sustainability as there is a huge uncertainty associated with sustainability-related risks. Sustainability-related risks and risk management frameworks have been introduced in the literature to help project managers identify and manage critical risks influencing project sustainability. Theoretically grounded in the framework of Monte Carlo Simulation;this paper introduces and operationalizes a new process for prioritizing sustainability-related project risks using risk matrix data. Sustainability-related construction project risks have never been assessed relative to different confidence levels across the risk matrix-based exposure zones. The application of the proposed process on construction projects completed in the United Arab Emirates reveals that the conventional risk prioritization scheme undermines the importance of tail risks (unexpected events);whereas such risks are captured in the proposed process. In contrast to the most critical risks identified using the conventional scheme such as shortage of client’s funding;insufficient or incorrect sustainable design operation;and design changes;the proposed process prioritizes risks such as poor productivity of labor and equipment in sustainable construction;unreasonable tight schedule for sustainable construction;and poor scope definition of sustainable construction. The proposed process is generalizable to prioritizing risks influencing sustainability in international construction projects and beneficial for enhancing project sustainability as there is a huge uncertainty associated with sustainability-related risks. Sustainability-related risks and risk management frameworks have been introduced in the literature to help project managers identify and manage critical risks influencing project sustainability. Theoretically grounded in the framework of Monte Carlo Simulation;this paper introduces and operationalizes a new process for prioritizing sustainability-related project risks using risk matrix data. Sustainability-related construction project risks have never been assessed relative to different confidence levels across the risk matrix-based exposure zones. The application of the proposed process on construction projects completed in the United Arab Emirates reveals that the conventional risk prioritization scheme undermines the importance of tail risks (unexpected events);whereas such risks are captured in the proposed process. In contrast to the most critical risks identified using the conventional scheme such as shortage of client’s funding;insufficient or incorrect sustainable design operation;and design changes;the proposed process prioritizes risks such as poor productivity of labor and equipment in sustainable construction;unreasonable tight schedule for sustainable construction;and poor scope definition of sustainable construction. The proposed process is generalizable to prioritizing risks influencing sustainability in international construction projects and beneficial for enhancing project sustainability as there is a huge uncertainty associated with sustainability-related risks. Sustainability-related risks and risk management frameworks have been introduced in the literature to help project managers identify and manage critical risks influencing project sustainability. Theoretically grounded in the framework of Monte Carlo Simulation;this paper introduces and operationalizes a new process for prioritizing sustainability-related project risks using risk matrix data. Sustainability-related construction project risks have never been assessed relative to different confidence levels across the risk matrix-based exposure zones. The application of the proposed process on construction projects completed in the United Arab Emirates reveals that the conventional risk prioritization scheme undermines the importance of tail risks (unexpected events);whereas such risks are captured in the proposed process. In contrast to the most critical risks identified using the conventional scheme such as shortage of client’s funding;insufficient or incorrect sustainable design operation;and design changes;the proposed process prioritizes risks such as poor productivity of labor and equipment in sustainable construction;unreasonable tight schedule for sustainable construction;and poor scope definition of sustainable construction. The proposed process is generalizable to prioritizing risks influencing sustainability in international construction projects and beneficial for enhancing project sustainability as there is a huge uncertainty associated with sustainability-related risks. A multi-criteria decision-making framework for site selection of distributed PV power stations along high-speed railway 2020;Journal of Cleaner Production 2020;Journal of Cleaner Production Show abstract The construction of distributed photovoltaic power stations (DPVPS) along high-speed railway can supply power for the traction power supply system (TPSS) of high-speed railway. The DPVPS site selection is a natural call from the practice with the consideration of full use of solar PV. This paper addresses a multi-criteria decision-making (MCDM) framework for DPVPS site selection along high-speed railway for the first time. In this framework;an evaluation criteria system is established. Considering the particularity of DPVPS site selection problem along high-speed railway;two new criteria namely power consumption capacity of high-speed railway TPSS and impact on high-speed railway TPSS are presented innovatively. In view of the strong grey correlations among criteria;the fuzzy grey relational projection (FGRP) method is applied to select the optimal site which is greatly suitable to deal with the grey correlations. A case in Hebei Province with sensitivity analysis also illustrates the robustness and effectiveness of the framework. The calculation results of the case indicate that the sub-criteria of impact on high-speed railway TPSS (C26) has the largest comprehensive weight;which is 0.129. Among the four candidate sites;G1 gets the highest final score of 0.653. This paper puts forward an effective tool for railway companies to choose the most suitable site to build DPVPS along high-speed railway;which has the certain practical significance. The construction of distributed photovoltaic power stations (DPVPS) along high-speed railway can supply power for the traction power supply system (TPSS) of high-speed railway. The DPVPS site selection is a natural call from the practice with the consideration of full use of solar PV. This paper addresses a multi-criteria decision-making (MCDM) framework for DPVPS site selection along high-speed railway for the first time. In this framework;an evaluation criteria system is established. Considering the particularity of DPVPS site selection problem along high-speed railway;two new criteria namely power consumption capacity of high-speed railway TPSS and impact on high-speed railway TPSS are presented innovatively. In view of the strong grey correlations among criteria;the fuzzy grey relational projection (FGRP) method is applied to select the optimal site which is greatly suitable to deal with the grey correlations. A case in Hebei Province with sensitivity analysis also illustrates the robustness and effectiveness of the framework. The calculation results of the case indicate that the sub-criteria of impact on high-speed railway TPSS (C26) has the largest comprehensive weight;which is 0.129. Among the four candidate sites;G1 gets the highest final score of 0.653. This paper puts forward an effective tool for railway companies to choose the most suitable site to build DPVPS along high-speed railway;which has the certain practical significance. The construction of distributed photovoltaic power stations (DPVPS) along high-speed railway can supply power for the traction power supply system (TPSS) of high-speed railway. The DPVPS site selection is a natural call from the practice with the consideration of full use of solar PV. This paper addresses a multi-criteria decision-making (MCDM) framework for DPVPS site selection along high-speed railway for the first time. In this framework;an evaluation criteria system is established. Considering the particularity of DPVPS site selection problem along high-speed railway;two new criteria namely power consumption capacity of high-speed railway TPSS and impact on high-speed railway TPSS are presented innovatively. In view of the strong grey correlations among criteria;the fuzzy grey relational projection (FGRP) method is applied to select the optimal site which is greatly suitable to deal with the grey correlations. A case in Hebei Province with sensitivity analysis also illustrates the robustness and effectiveness of the framework. The calculation results of the case indicate that the sub-criteria of impact on high-speed railway TPSS (C26) has the largest comprehensive weight;which is 0.129. Among the four candidate sites;G1 gets the highest final score of 0.653. This paper puts forward an effective tool for railway companies to choose the most suitable site to build DPVPS along high-speed railway;which has the certain practical significance. The construction of distributed photovoltaic power stations (DPVPS) along high-speed railway can supply power for the traction power supply system (TPSS) of high-speed railway. The DPVPS site selection is a natural call from the practice with the consideration of full use of solar PV. This paper addresses a multi-criteria decision-making (MCDM) framework for DPVPS site selection along high-speed railway for the first time. In this framework;an evaluation criteria system is established. Considering the particularity of DPVPS site selection problem along high-speed railway;two new criteria namely power consumption capacity of high-speed railway TPSS and impact on high-speed railway TPSS are presented innovatively. In view of the strong grey correlations among criteria;the fuzzy grey relational projection (FGRP) method is applied to select the optimal site which is greatly suitable to deal with the grey correlations. A case in Hebei Province with sensitivity analysis also illustrates the robustness and effectiveness of the framework. The calculation results of the case indicate that the sub-criteria of impact on high-speed railway TPSS (C26) has the largest comprehensive weight;which is 0.129. Among the four candidate sites;G1 gets the highest final score of 0.653. This paper puts forward an effective tool for railway companies to choose the most suitable site to build DPVPS along high-speed railway;which has the certain practical significance. Occupational health and safety risk assessment using an integrated SWARA-MABAC model under bipolar fuzzy environment 2020;Computational and Applied Mathematics 2020;Computational and Applied Mathematics Nuclear power plants with artificial intelligence in industry 4.0 era: Top-level design and current applications—a systemic review 2020;IEEE Access 2020;IEEE Access
摘要：
Nuclear Power Plant (NPP) construction project is a mega one with high level of occupational health and safety and environment (OHSE) risks, and it is necessary to propose an approach for the OHSE risk assessment so as to prevent the OHSE accidents or reduce their outcomes. However, there has not been such an approach due to the high uncertainty and complexity of NPP construction project. Therefore, this paper proposed a novel approach for the OHSE risk assessment which includes systematically identifying the OHSE risks by using brainstorming method, establishing an OHSE risk assessment index system by using Delphi method, and formulating a mathematical model by combining set pair analysis (SPA), trapezoidal fuzzy number (TPFN), and set-valued statistics (SVS) methods for determining the overall OHSE risk level for NPP construction project. The approach was used to assess the OHSE risks for the NPP construction project in East China, and its overall OHSE risk level was assessed at level 2 (low OHSE risk level). In addition, the problems in the OHSE risk management were found, and the corresponding OHSE risk treatments for these problems were implemented. The results showed that the approach helped reduce the OHSE risk level and protect the workers' occupational health and safety and the environment while the NPP construction project was under construction.
Nuclear Power Plant (NPP) construction project is a mega one with high level of occupational health and safety and environment (OHSE) risks, and it is necessary to propose an approach for the OHSE risk assessment so as to prevent the OHSE accidents or reduce their outcomes. However, there has not been such an approach due to the high uncertainty and complexity of NPP construction project. Therefore, this paper proposed a novel approach for the OHSE risk assessment which includes systematically identifying the OHSE risks by using brainstorming method, establishing an OHSE risk assessment index system by using Delphi method, and formulating a mathematical model by combining set pair analysis (SPA), trapezoidal fuzzy number (TPFN), and set-valued statistics (SVS) methods for determining the overall OHSE risk level for NPP construction project. The approach was used to assess the OHSE risks for the NPP construction project in East China, and its overall OHSE risk level was assessed at level 2 (low OHSE risk level). In addition, the problems in the OHSE risk management were found, and the corresponding OHSE risk treatments for these problems were implemented. The results showed that the approach helped reduce the OHSE risk level and protect the workers' occupational health and safety and the environment while the NPP construction project was under construction.
摘要：
Two fusion methods were established for rapid determination of Pu in soil and sediment samples. The methods consisted of NH4HSO4 or NH4HF2 fusion procedures incorporated with procedures for CaF2/LaF3 co-precipitation, extraction chromatography and SF-ICP-MS measurement. The fusion procedures were done on a portable hot plate instead of in a cumbersome muffle furnace and took only 15min heating-up time from room temperature to 250 degrees C and 15min fusion time at 250 degrees C. Chemical recoveries of Pu after completing the NH4HSO4 and NH4HF2 fusion methods for 0.5-1g sample were approximately 70% and more than 90%, respectively, and decreased with the increase of sample weight from 0.5g to 5g. Sediment samples were pre-ignited at different temperatures ranging from 450 degrees C to 1000 degrees C to form refractory fractions of Pu, with which the dissolution rates of Pu by the NH4HSO4 and NH4HF2 fusion were investigated. With the increase of pre-ignition temperature of the sediment samples, the dissolution rates of Pu from the samples prepared by NH4HSO4 fusion declined dramatically from near 100% for 450 degrees C to 8% for 1000 degrees C. In contrast, the NH4HF2 fusion was capable of completely releasing Pu from samples that were pre-ignited at temperatures over 450 degrees C to 1000 degrees C, which was comparable to releases obtained by the hazardous and time-consuming HNO3-HF digestion, and was superior to the conventional HNO3 digestion. Additionally, because HF is not used in any procedure of the NH4HF2 fusion, a safer and greener alternative to NH4HSO4 fusion and HNO3-HF digestion is realized for rapid Pu determination in environmental samples for nuclear emergency response and application in environmental studies.
关键词：
(239+240)Pu;(240)Pu/(239)Pu atom ratio;Fukushima accident;ICP-MS;Seawater
摘要：
The marine environment is complex, and it is desirable to have measurements for seawater samples collected at the early stage after the Fukushima Daiichi Nuclear Power Plant (FDNPP) accident to determine the impact of Fukushima-derived radionuclides on this environment. Here Pu isotopes in seawater collected 33-163 km from the FDNPP site at the very early stage after the accident were determined (May 2011, within two months after the accident). The distribution and temporal variation of Pu-239 and Pu-240 were studied. The results indicated that both (239+24) PU activity concentrations (from 0.81 +/- 0.16 to 11.18 +/- 1.28 mBq/m(3)) and Pu-240/Pu-239 atom ratios (from 0.216 +/- 0.032 to 0.308 +/- 0.036) in these seawater samples were within the corresponding background ranges before the accident, and this suggested that Fukushima-derived Pu isotopes, if any, were in too limited amount to be distinguished from the background level in the seawater. The analysis of Pu isotopic composition indicated that the major sources of Pu in the seawater after the accident were still global fallout and the Pacific Proving Ground close-in fallout. The contribution analysis showed that the contributions of the Pacific Proving Ground close-in fallout in the water column of the study area ranged from 26% to 77% with the average being 48%. (C) 2018 Elsevier Ltd. All rights reserved.
摘要：
<jats:title>Abstract</jats:title><jats:p>In order to assess the impact of the Fukushima derived Pu isotopes on seawater, a new analytical method to rapidly determine Pu isotopes in seawater by SF-ICP-MS including Fe(OH)<jats:sub>2</jats:sub> primary co-precipitation, CaF<jats:sub>2</jats:sub>/LaF<jats:sub>3</jats:sub> secondary co-precipitation and TEVA+UTEVA+DGA extraction chromatographic separation was established. High concentration efficiency (~100%) and high U decontamination factor (~10<jats:sup>7</jats:sup>) were achieved. The plutonium chemical recoveries were 74–88% with the mean of 83 ± 5%. The precisions for both <jats:sup>240</jats:sup>Pu/<jats:sup>239</jats:sup>Pu atom ratios and <jats:sup>239+240</jats:sup>Pu activity concentrations were less than 5% when 15 L of seawater samples with the typical <jats:sup>239+240</jats:sup>Pu activity of the Northwest Pacific were measured. It just needs 12 hours to determine plutonium using this new method. The limit of detection (LOD) for <jats:sup>239</jats:sup>Pu and <jats:sup>240</jats:sup>Pu were both 0.08 fg/mL, corresponding to 0.01 mBq/m<jats:sup>3</jats:sup> for <jats:sup>239</jats:sup>Pu and 0.05 mBq/m<jats:sup>3</jats:sup> for <jats:sup>240</jats:sup>Pu when a 15 L volume of seawater was measured. This method was applied to determine the seawater samples collected 446–1316 km off the FDNPP accident site in the Northwest Pacific in July of 2013. The obtained <jats:sup>239+240</jats:sup>Pu activity concentrations of 1.21–2.19 mBq/m<jats:sup>3</jats:sup> and the <jats:sup>240</jats:sup>Pu/<jats:sup>239</jats:sup>Pu atom ratios of 0.198–0.322 suggested that there was no significant Pu contamination from the accident to the Northwest Pacific.</jats:p>
摘要：
The through-diffusion method was employed to investigate the effect of the salt concentration on the diffusion behaviour of Re(VII) and Se(IV) in compacted bentonite. The accessible porosity, epsilon(acc) of Re(VII) increased from 025 to 0.38 with an increase of the ionic strength from 0.1 to 1.0 mol/L. The dependency of the accessible porosity epsilon(acc) on the salt concentration could be described approximately by a first-order decay exponential function. The interlayer porosity of GMZ bentonite was 21% of the total porosity at a bulk dry density of 1600 kg/m3 at 12 degrees C. The De values of Re(VII) and Se(IV) increased from 2.6 x 10(-11) to 6.1 x 10(-11) m(2)/s and from 1.6 x 10(-11) to 4.7 x 10(-11) m(2)/s in GMZ bentonite with an increase of the ionic strength from 0.1 to 1.0 mol/L, respectively. In the case of Se(IV), the adsorption showed a different ionic strength dependency in GMZ bentonite and montmorillonite. The ionic strength has no significant effect on the adsorption (K-d = 1.8 x 10(-4) m(3)/kg) on GMZ bentonite, indicating the formation of inner-sphere surface complexes. In the case of synthetic montmorillonite, the Kd values increased with increasing ionic strength. This can be explained by the fact that the electric potential of surface sites becomes less negative with increasing ionic strength resulting in an increase in the adsorption of Se(IV) at a pH above the point of zero salt effect (PZSE). The D-e values of both Re(VII) and Se(IV) increased with increasing salt concentration. Both anions are totally excluded from the interlayer space and partially from the diffuse double layer. Ionic strength alters the effective diffusion coefficient of anions by controlling the thickness of the diffuse double layer. Anion diffusion data from the literature (effective and apparent diffusion coefficients) were satisfactorily evaluated by Archie's relation. (C) 2017 Elsevier B.V. All rights reserved.
