Article
Engineering, Environmental
Zeinab Masalegooyan, Farzad Piadeh, Kourosh Behzadian
Summary: This paper presents a new framework for evaluating the risk probability of major fires in landfills using fuzzy fault tree analysis, and demonstrates its effectiveness through a real-world case study.
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
(2022)
Article
Green & Sustainable Science & Technology
Xueyou Zhang, Junfei Chen, Chong Yu, Qian Wang, Tonghui Ding
Summary: The South-to-North Water Diversion Project in China has complex water quality risk factors and a complicated dispatching control process. This study established an emergency risk assessment model using the analytic hierarchy process and a framework model. Variable fuzzy theory was used to construct the risk assessment model and determine the risk grade criterion. A case study in the Huai'an section of Jiangsu Province was conducted to validate the index classification system and risk assessment model, and emergency risk management countermeasures were proposed for different stages of sudden water pollution events.
ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY
(2023)
Article
Environmental Sciences
Wei Liu, Ya Qi
Summary: This study investigates the reasons behind the challenge organizations face in achieving success in environmental projects. It explores the impact of corporate environmental identity, project complexity, and environmental intensity on environmental project success. The findings highlight the importance of organizational identity for the environment and environment project complexity, as well as the critical role of team functional diversity in team absorptive capability.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Environmental Sciences
Jing Xu, Min Xu, Yanxin Zhao, Shaofei Wang, Minghui Tao, Yonggui Wang
Summary: The study found that SWPI in China is on the rise overall, with high frequencies in Eastern, Southwest, and Southern China, and the Yangtze River Basin and Pearl River Basin being the regions with the highest frequencies of water pollution incidents. SWPI exhibits a northeast-southwest distribution pattern spatially, and the incidents are mainly caused by illegal pollutant discharge and production safety accidents.
SCIENCE OF THE TOTAL ENVIRONMENT
(2021)
Article
Green & Sustainable Science & Technology
Junfeng Yao, Longhao Yan, Zhuohang Xu, Ping Wang, Xiangmo Zhao
Summary: With the continuous increase in highway mileage and vehicles in China, accidents on highways are also increasing. The complicated on-site disposal procedures of highway accidents make it difficult for emergency departments to fully observe the scene, resulting in a lack of communication and cooperation. This paper proposes a multi-agent-based collaborative emergency decision-making algorithm to optimize emergency disposal procedures and improve collaboration efficiency. Through simulation experiments and comparisons, it is shown that the proposed algorithm can greatly reduce emergency response time and improve rescue efficiency.
Article
Engineering, Marine
Samet Gurgen, Devran Yazir, Olgun Konur
Summary: This study used Fuzzy Fault Tree Analysis (FFTA) to investigate the root causes of accidents resulting from the loss of a ship steering ability. The three most common causes of loss of ship steering ability are failure of the steering gear's hydraulic power, failure of the rudder, and failure of the steering gear's control. Linguistic judgments of experts were used to determine the probabilities of each event's occurrence. The findings of this study have made substantial theoretical and applied contributions to maritime safety, environmental protection, and the global economy.
Article
Green & Sustainable Science & Technology
Han Li, Weiqing Huang, Yu Qian, Jiri Jaromir Klemes
Summary: Vehicle emissions have become a major pollution source affecting air quality and human health in China's megacities. This study aims to explore an integrated approach to assess the risk factors of excess vehicle emissions and their impact on air quality. Bayesian Network coupled with the Fault Tree method is used as the assessment tool, and four megacities in China are selected as case studies. The analysis results show a positive correlation between the probability of excess vehicle emissions and air quality variation. This work provides a novel approach for the sustainable development of China's megacities in terms of accurate traceability, quantitative risk assessment, and prediction of urban vehicle emissions.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Engineering, Civil
Jijian Lian, Linlin Yan, Ye Yao, Yulin Chen
Summary: The study establishes a hydrodynamic and water quality model of Dongzhang reservoir and analyzes the sensitivities to sudden water pollution events. It finds that dry years are the most unfavorable operating years, and wind field is the main driving force for flow field. Water transfer projects significantly change the main flow route of the reservoir in dry seasons and result in an increase in total phosphorus concentration in the short term. The study provides guidance for pollution control, ecological restoration, and management.
JOURNAL OF HYDROLOGY
(2022)
Article
Computer Science, Artificial Intelligence
Mohit Kumar, Kulbir Singh
Summary: In chemical industries, assessing system failure probability is crucial for preventing the release of toxic gases and chemicals. This research proposes a novel fuzzy set theory-based fault tree analysis that utilizes expert opinions/views to evaluate system failure probability when quantitative historical failure data is unavailable or insufficient.
APPLIED SOFT COMPUTING
(2022)
Article
Energy & Fuels
Patrick S. Pouabe Eboule, Jan Harm C. Pretorius, Nhlanhla Mbuli
Summary: This paper compares the results of two powerful machine learning techniques applied to predict fault classification and location on a nine-phase transmission line system, showing the potential of these artificial intelligence techniques in increasing line yield.
Article
Engineering, Industrial
Sou-Sen Leu, Kuang-Jen Huang, Cathy Chang-Wei Hung, Pei-Lin Wu
Summary: A network-like bridge model was established to evaluate the root causes of cost overruns in steel building projects. The model used design, manufacturing, construction, and interface checklists to assess their influences through a Bayesian network. The study identified design management and interface integration as the main root causes of cost overruns in steel building projects.
ENGINEERING CONSTRUCTION AND ARCHITECTURAL MANAGEMENT
(2023)
Article
Mathematics, Interdisciplinary Applications
Gaohuizi Guo, Cuiyou Yao, Mehrdad Shoeibi
Summary: The present study proposes a time series-based network public opinion emergency (NPOE) management decision support algorithm to address the issues of low decision accuracy and long decision time in traditional similar algorithms. The algorithm preprocesses the time series data, mines association rules, constructs indicator data matrix, and employs an improved local linear embedding approach to obtain the original indicator data of NPOEs. A decision support model is then constructed based on the preprocessing results, and the emergency management decision support of NPOEs is realized.
Article
Nuclear Science & Technology
Xu Zhang, Zhiguang Deng, Yifan Jian, Qichang Huang, Hao Peng, Quan Ma
Summary: This study proposes a reliability evaluation model based on a T-S fuzzy fault tree for the safety-class (1E) digital control system of a nuclear power plant. The connection relationship between components is described using T-S fuzzy gates, and key indicators are calculated for fault diagnosis. The effectiveness of the proposed method is demonstrated through analysis of actual objects.
NUCLEAR ENGINEERING AND TECHNOLOGY
(2023)
Article
Engineering, Electrical & Electronic
Jae-Guk An, Jin-Uk Song, Yun-Sik Oh
Summary: This paper proposes a fuzzy-based fault section identification (FSI) method that utilizes fault current information measured on feeder remote terminal units (FRTUs) installed at automatic switches. The method provides an intuitive index for decision-making by quantifying the possibility of fault for each candidate section. Additionally, the method improves the FSI time by dynamically generating partial trees using validated fault current information.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2023)
Article
Engineering, Electrical & Electronic
Jianmin Zhou, Xiaotong Yang, Lulu Liu, Yunqing Wang, Junjie Wang, Guanghao Hou
Summary: This paper proposes a bearing fault diagnosis method combining feature engineering and fuzzy broad learning. Features are extracted from bearing signals and evaluated for stability and robustness. The features obtained from feature engineering are used as inputs for the fault diagnosis model, which is validated using experimental data. The results show high accuracy and fast running time for the proposed method.
Article
Environmental Sciences
Ashfaq Khan, Afedullah Khan, Fayaz Ahmad Khan, Liaqat Ali Shah, Ateeq Ur Rauf, Yasir Irfan Badrashi, Wisal Khan, Jehanzeb Khan
Summary: Research on the impact of terrestrial determinants on surface water quality in trans-boundary rivers of Pakistan revealed that factors such as village land use, soil type, and slope can affect water quality. Conservation practices at riparian and subbasin scales are recommended for water quality management.
POLISH JOURNAL OF ENVIRONMENTAL STUDIES
(2021)
Article
Water Resources
Kashif Haleem, Afed Ullah Khan, Sohail Ahmad, Mansoor Khan, Fayaz Ahmad Khan, Wisal Khan, Jehanzeb Khan
Summary: Investigating the impacts of climate and land-use changes on surface runoff is essential for water resources management. This study focused on the Upper Indus Basin, Pakistan, using the SWAT model to distinguish between the effects of projected climate and land-use changes on surface runoff. The results showed that climate change has a greater influence on river runoff than land-use change, with both factors predicted to increase future runoff depth in the basin.
JOURNAL OF WATER AND CLIMATE CHANGE
(2022)
Article
Environmental Sciences
Liaqat Ali, Salim Khan, Syed Jamal Shah, Aman Ullah, Hina Ashraf, Mushtaq Ahmad, Abida Begum, Heesup Han, Antonio Ariza-Montes, Luis Araya-Castillo, Afed Ullah Khan, Muhammad Anas, Abdul Majid Khan
Summary: This study reveals the crucial role of road and transportation in improving the health of the local community, where income acts as a mediator in the effects of accessibility and employment on health. The findings of this study will assist authorities and policymakers in formulating policies to enhance the health and sustainable development of the host community.
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
(2021)
Article
Environmental Sciences
Zahoor Khan, Fayaz Ahmad Khan, Afed Ullah Khan, Irshad Hussain, Asif Khan, Liaqat Ali Shah, Jehanzeb Khan, Yasir Irfan Badrashi, Pawel Kaminski, Artur Dyczko, Kazimierz Rozkowski
Summary: This study estimated and compared the precipitation elasticity of streamflow in 86 catchments within Pakistan over 50 major rivers using three different models, and identified some influencing factors.
Article
Water Resources
Mehran Khan, Sunaid Khan, Afed Ullah Khan, Muhammad Noman, Muhammad Usama, Fayaz Ahmad Khan, Kashif Haleem, Jehanzeb Khan
Summary: Investigating the influence of land use change on the climate elasticity of water quality is crucial for sustainable water management policies. This study examined the relationship between land use change, water quality, and climate at multiple spatial scales in Pakistan. The results showed that precipitation elasticity was lower and spatially homogeneous compared to temperature elasticity. Most water quality indicators did not show a temporal trend with land use change, except for a few indicators. Linear models between temperature elasticity and land use were more prevalent than those with precipitation elasticity. Certain land use classes were found to cause instability consequences at the buffer scale. Savanna, shrublands, and ice and snow were identified as land use classes that brought stability to water quality indicators at both spatial scales. The findings suggest incorporating these stable land use classes into watershed management policies to ensure sustainability in the aquatic environment.
WATER PRACTICE AND TECHNOLOGY
(2022)
Article
Water Resources
Mehran Khan, Afed Ullah Khan, Jehanzeb Khan, Sunaid Khan, Kashif Haleem, Fayaz Ahmad Khan
Summary: This research study examines the effectiveness of different models, including artificial neural network (ANN), recurrent neural network (RNN), and ANFIS, for monthly streamflow forecasting in the Hunza river basin of Pakistan. The study finds that the ANN model outperforms the RNN and ANFIS models in predicting monthly streamflow accuracy. The study also evaluates the performance of different architectures and transfer functions. Ultimately, the study concludes that the ANN model with a 2-3-1 architecture is the most effective for predicting monthly streamflow in the Hunza river basin.
WATER PRACTICE AND TECHNOLOGY
(2023)
Article
Engineering, Civil
Basir Ullah, Muhammad Fawad, Afed Ullah Khan, Sikander Khan Mohamand, Mehran Khan, Muhammad Junaid Iqbal, Jehanzeb Khan
Summary: This study evaluates the performance of four machine learning algorithms for predicting future streamflow in the Swat River basin. The results show that the AdaBoost algorithm performs exceptionally well. The projected future streamflow indicates an increase in the coming years. Machine learning models provide a reliable method for streamflow projection and can assist in hazard and water resources management in the area.
WATER RESOURCES MANAGEMENT
(2023)
Article
Engineering, Environmental
Mehran Khan, Afed Ullah Khan, Sunaid Khan, Fayaz Ahmad Khan
Summary: This study investigates changes in river flow patterns in the Hunza Basin, Pakistan, attributed to climate change. Three machine learning models - artificial neural network (ANN), recurrent neural network (RNN), and adaptive fuzzy neural inference system (ANFIS) - are assessed for streamflow prediction. The ANN model with a 3-10-1 architecture outperforms the other models and shows potential for predicting future streamflow.
WATER SCIENCE AND TECHNOLOGY
(2023)
Article
Engineering, Environmental
Sunaid Khan, Afed Ullah Khan, Mehran Khan, Fayaz Ahmad Khan, Sohail Khan, Jehanzeb Khan
Summary: This research used SWAT and ANN models to simulate monthly streamflow historical records in Astore Basin, Pakistan. The performance of these models was evaluated during calibration and validation periods, and the results showed that ANN model outperformed SWAT model based on statistical indicators. The ANN model accurately predicted both general and extreme flow conditions.
WATER SCIENCE AND TECHNOLOGY
(2023)
Article
Environmental Sciences
Afed Ullah Khan, Jehanzeb Khan, Fayaz Ahmad Khan, Rooman Khan, Raza Ullah Khan, Liaqat Ali Shah, Zahoor Khan, Yasir Irfan Badrashi
Summary: Lockdown measures have led to improved air quality in major cities of Pakistan, with significant reductions in nitrogen dioxide levels. The study suggests that lockdown may prompt policymakers and governments to implement measures to reduce emissions and heal the environment. The application of hotspot analysis can provide evidence-based decision-making during the COVID-19 pandemic.
ENVIRONMENTAL HEALTH ENGINEERING AND MANAGEMENT JOURNAL
(2021)
Article
Construction & Building Technology
Muhammad Abid, Haytham F. Isleem, Khan Shahzada, Afed Ullah Khan, Muhammad Kamal Shah, Salman Saeed, Fahid Aslam
Summary: This study conducted a seismic hazard assessment of the Shigo Kas hydropower project using both deterministic and probabilistic approaches, taking into account local site effects and areal source zones. Peak ground acceleration values for different levels of earthquakes were assessed based on international dam safety recommendations. Hazard maps were developed for scenario-based earthquakes and different return periods, with a focus on earthquakes of certain magnitudes at specific distances from the earthquake source.
Article
Engineering, Civil
Liaqat Ali Shah, Afed Ullah Khan, Fayaz Ahmad Khan, Zahoor Khan, Ateeq Ur Rauf, Saif Ur Rahman, Muhammad Junaid Iqbal, Izaz Ahmad, Asim Abbas
Summary: The study assesses the impact of precipitation and air temperature on streamflow, finding a positive correlation between precipitation and streamflow, and both positive and negative correlations between air temperature and streamflow. Results indicate streamflow is more sensitive to air temperature than to precipitation.
CIVIL ENGINEERING JOURNAL-TEHRAN
(2021)
Article
Engineering, Civil
Afed Ullah Khan, Hafiz Ur Rahman, Liaqat Ali, Muhammad Ijaz Khan, Humayun Mehmood Khan, Afnan Ullah Khan, Fayaz Ahmad Khan, Jehanzeb Khan, Liaqat Ali Shah, Kashif Haleem, Asim Abbas, Izaz Ahmad
Summary: Understanding the direct, indirect, and total effects of socioeconomic, terrestrial, and hydrological factors on surface water quality is crucial for ecosystem health protection. Path analysis in Pakistan's Indus basin revealed how population density and land use influence river runoff and water quality. Implementing Best Management Practices, precision farming, and modern irrigation techniques can help reduce pollutant entry and protect the ecosystem.
CIVIL ENGINEERING JOURNAL-TEHRAN
(2021)
Article
Meteorology & Atmospheric Sciences
Wisal Khan, Asif Khan, Afed Ullah Khan, Mujahid Khan, Fayaz Ahmad Khan, Yasir Irfan Badrashi
Article
Environmental Sciences
Waqar Ahmad, Afed Ullah Khan, Fayaz Ahmad Khan, Muhammad Farooq, Ammar Ahmad Baig, Liaqat Ali Shah, Jehanzeb Khan
ASIAN JOURNAL OF ATMOSPHERIC ENVIRONMENT
(2020)
