Article
Agronomy
Yu Wang, Yanli Lu, Ye Xu, Lijun Zheng, Yurui Fan
Summary: In this study, a factorial inexact copula stochastic programming (FICSP) method is developed for planning the regional-scale water-energy-food nexus (WEFN) system. The FICSP can handle uncertainties expressed as interval and random parameters, and handle the interdependence among correlated random variables. The results show that under limited water resources, the corn cultivation would be prioritized but the increase of water resources tends to increase the wheat cultivation and reduce corn planting.
AGRICULTURAL WATER MANAGEMENT
(2023)
Article
Engineering, Civil
Shuping Wang, Qian Tan, Chunhui Li, Shan Zhang, Tianyuan Zhang
Summary: The implementation of best management practices (BMPs) is crucial for protecting and restoring watersheds from nonpoint source pollution. Few studies have optimized the ratio between pollution reduction and cost in BMP placement plans. To address this gap, a simulation-based model called SICMFP was proposed, which integrates different models to optimize conflicting objectives and handle uncertain parameters.
JOURNAL OF HYDROLOGY
(2023)
Article
Management
Steffen Kuenn, Juan Palacios, Nico Pestel
Summary: Decision making on the job is becoming increasingly important, and there is a growing demand for workers with problem-solving and critical-thinking skills. This paper explores the impact of indoor air quality on the quality of strategic decision making, using data from official chess tournaments. The study finds that poor indoor air quality hampers players' decision making, especially when under time pressure.
MANAGEMENT SCIENCE
(2023)
Article
Environmental Sciences
Kai Huang, Liming Dai, Lei Yu, Yurui Fan, Guohe Huang, Yao Xiao, Qingsong Wu
Summary: In this study, an inexact fractional programming method is used to plan the water energy-food nexus system at a regional scale. The method is applied to Henan Province in China, and the results show that it can generate optimal planting schemes for maximizing water utilization efficiency. Additionally, the inexact fractional programming approach provides higher unit benefits compared to integer linear programming.
JOURNAL OF CONTAMINANT HYDROLOGY
(2022)
Review
Chemistry, Analytical
Nestor Alzate-Mejia, German Santos-Boada, Jose Roberto de Almeida-Amazonas
Summary: The human-centric characteristic of future communication network paradigms plays a crucial role in the relationship between telematics and human activities. The uncertainties introduced by the dynamic nature of user behavior pose challenges in network resource management, calling for improved modeling of human behavior context. Establishing such a model is key to enhancing resource assignment and management efficiency.
Article
Engineering, Civil
Shen Li, Keqi Shu, Yang Zhou, Dongpu Cao, Bin Ran
Summary: The paper proposes a cooperative critical turning point method to enhance cooperation between vehicles and infrastructures for improved traffic efficiencies, using the concept of cooperative critical turning points to optimize intersection management.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Construction & Building Technology
Zhilong Chen, Wanjie Hu, Yuanxian Xu, Jianjun Dong, Kai Yang, Rui Ren
Summary: In facing big-city diseases, using urban underground space to build a stratified transportation system is crucial for sustainable development. Underground logistics systems (ULS) have received attention but face difficulties in megacities due to high costs and risks. Metro-based ULS (M-ULS) serves as a cost-effective alternative that integrates underground transport of passengers and freight.
TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
(2023)
Article
Agronomy
Ye Xu, Junyuan Tan, Xu Wang, Wei Li, Xing He, Xiaoguang Hu, Yurui Fan
Summary: This study developed an inexact fractional fuzzy chance constraint programming method to establish a water-food-energy nexus system model considering uncertainties and greenhouse gas emissions. The results indicate that this model can achieve a maximized unit benefit and lowest total greenhouse gas emissions.
AGRICULTURAL WATER MANAGEMENT
(2022)
Article
Environmental Sciences
Ling Han, Tian Qin, Zhaobin Sun, Hongyu Ren, Na Zhao, Xingqin An, Zhanshan Wang
Summary: This study investigated the influence of urbanization on the spatial distribution of air pollution-mortality associations in Beijing. The results showed that PM2.5-related mortality risks were higher in suburban areas compared to urban areas, and these risks increased as the urbanization level decreased. However, the risks associated with O-3 were not significantly different between urban and suburban areas. Implementing the Air Pollution Prevention and Control Action Plan reduced PM2.5-related mortality risks, but increased the risks of O-3 in some districts. This study highlights the need for targeted air pollution management policies based on levels of urbanization.
Article
Environmental Sciences
Chien Wang
Summary: HazeNet, developed based on deep convolutional neural networks, can forecast haze events in Beijing and Shanghai with 80% validation accuracy and a F1 score of 0.5. Valuable insights have been obtained from the training, improving our understanding of environmental extremes.
ATMOSPHERIC CHEMISTRY AND PHYSICS
(2021)
Article
Environmental Sciences
Yifeng Xue, Tongran Wu, Yangyang Cui, Baohan Gong, Xueyao Li, Xin Qin, Xizi Cao, Xinyu Liu, Yi Ai, Jinxiu Han, Taosheng Jin
Summary: The study shows that diesel consumption has increased and then decreased over the past decade, mainly driven by the logistics and transportation industries. NOX emissions peaked in 2014, but decreased due to the optimization of vehicle fleets and the elimination of old diesel trucks. However, the contribution of diesel combustion to total emissions is continuously increasing and requires more attention.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2021)
Article
Green & Sustainable Science & Technology
Hegazy Rezk, Basem Alamri, Mokhtar Aly, Ahmed Fathy, Abdul G. Olabi, Mohammad Ali Abdelkareem, Hamdy A. Ziedan
Summary: This study identifies the best energy management strategy for hybrid photovoltaic-diesel battery-based water desalination systems in isolated regions using technical, economic, and techno-economic criteria. Through the use of CRITIC and TOPSIS tools, it is confirmed that predictive strategy is the optimal choice, along with an RO unit size of RO-250.
Article
Business
Fan Xia, Jianwei Xing, Jintao Xu, Xiaochuan Pan
Summary: This study identifies the short-term effects of PM2.5 concentrations on medical costs in Beijing. Higher levels and longer-lasting pollution episodes significantly increase health care visits and medical expenditures. The findings highlight the importance of considering both the intensity and duration of pollution episodes when designing policies to reduce the health costs of air pollution.
JOURNAL OF ENVIRONMENTAL ECONOMICS AND MANAGEMENT
(2022)
Article
Environmental Sciences
Mohammad Ebrahimi, Farhad Qaderi
Summary: The study used a combination of fuzzy systems and neural networks to select the most suitable scenario for controlling SO2 pollution, with results indicating that pressure, urban green space, gasoline consumption, gas oil consumption, temperature, wind speed, and humidity had the greatest impact on reducing SO2 concentration.
Article
Computer Science, Artificial Intelligence
Jiangang Peng, Guang Xia, Yue Li, Yiwei Song, Ming Hao
Summary: This study proposes a knowledge-based prognostics and health management (K-PHM) architecture using trapezoidal interval type-2 fuzzy linguistic term sets. The architecture emphasizes knowledge-driven maintenance strategies to increase system reliability and safety, and enhances the effectiveness of predictive maintenance by handling uncertainty.
EXPERT SYSTEMS WITH APPLICATIONS
(2022)
Article
Environmental Sciences
Xiaohan Yang, Guohe Huang, Chunjiang An, Xiujuan Chen, Jian Shen, Jianan Yin, Pei Song, Ziqing Xu, Yongping Li
Summary: The study demonstrated the potential of using CF-CeO2 as a high-efficiency, low-cost, and safe approach for water purification in remote areas of developing countries, with the removal mechanism mainly involving ion exchange and electrostatic attraction.
SCIENCE OF THE TOTAL ENVIRONMENT
(2021)
Article
Environmental Sciences
Ruixin Duan, Guohe Huang, Yongping Li, Xiong Zhou, Jiayan Ren, Chuyin Tian
Summary: Climate change has significant impacts on the Pearl River Basin, with potential increases in temperature, precipitation, and drought conditions projected in the future. The SCP model was used to predict these changes, showing a significant trend of increasing temperature and precipitation, along with more frequent and severe drought events. GCM and RCP interactions play important roles in shaping the future climate scenarios.
ENVIRONMENTAL RESEARCH
(2021)
Article
Environmental Sciences
Bin Luo, Guohe Huang, Yao Yao, Chunjiang An, Wei Li, Rubing Zheng, Kai Zhao
Summary: The study evaluated the adsorption performance and mechanism of adsorbents with sulfamethoxazole, finding that surface chemistry plays a key role in the adsorption process, and changes in functional groups have a positive impact on material recyclability. Kinetic experiments showed that the adsorption process follows the pseudo-second-kinetic model and intra-particle diffusion model.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2021)
Article
Economics
S. Wang, Y. L. Xie, G. H. Huang, Y. Yao, S. Y. Wang, Y. F. Li
Summary: This study developed a structural adjustment optimization model for electric-power system management in Urumqi, China, which considers emission control policy and structural adjustment to tackle the electric power problems. The results of the case study demonstrated the practicality and efficiency of the optimization method in providing an effective linkage between conflicting economic cost and system stability.
Article
Environmental Sciences
X. B. Zhai, Y. P. Li, Y. R. Liu, G. H. Huang
Summary: Water scarcity leads to various eco-environmental problems in the Aral Sea basin, affecting sustainable development. The SCFA approach helps assess the factors influencing the outflow of the Syr Darya River, providing insights for restoring the eco-environment effectively. Effective measures are needed to address the water scarcity issues and promote sustainable development in the region.
ENVIRONMENTAL RESEARCH
(2021)
Article
Meteorology & Atmospheric Sciences
Huawei Li, Yongping Li, Guohe Huang, Jie Sun
Summary: A copula-based bivariate probabilistic framework model was developed to assess the impacts of drought events on crop yield. The model was applied to Xinjiang Province in Northwestern China, revealing the varying sensitivity of wheat, maize, and cotton yield anomalies to different drought time-scales. Results enhance understanding of drought scales' impacts on crops and provide guidance for irrigation management.
INTERNATIONAL JOURNAL OF CLIMATOLOGY
(2021)
Article
Meteorology & Atmospheric Sciences
Yuanyuan Su, Yongping Li, Yuanrui Liu, Guohe Huang, Qimeng Jia, Yanfeng Li
Summary: Climate change has significant impacts on water resources, with potential changes in precipitation patterns, glacier melt, and runoff quantities in the Amu Darya River basin in Central Asia. Findings indicate that summer water availability and agricultural irrigation could be substantially affected by changes in glacier areas and runoff levels.
INTERNATIONAL JOURNAL OF CLIMATOLOGY
(2021)
Article
Green & Sustainable Science & Technology
Yupeng Fu, Guohe Huang, Lirong Liu, Jianyong Li, Xiaoyue Zhang, Mengyu Zhai, Xiaojie Pan
Summary: By developing a multi hierarchy industrial virtual water network model, this study analyzed the status of various industrial sectors in the virtual-water system in Hubei Province, China, and proposed recommendations to improve water-use efficiency in industrial sectors and enhance virtual water exchanges.
JOURNAL OF CLEANER PRODUCTION
(2021)
Review
Engineering, Environmental
Xiaying Xin, Gordon Huang, Baiyu Zhang
Summary: PPCPs, including organic ingredients and nanoparticles, have toxicity to algae, especially Chlorophyta and diatoms, which are more susceptible; Multiple algal endpoints should be considered for a complete toxicity evaluation; Experiments on joint and tertiary toxicity can reveal toxic mechanisms.
JOURNAL OF HAZARDOUS MATERIALS
(2021)
Article
Engineering, Civil
F. Wang, G. H. Huang, Y. Fan, Y. P. Li
Summary: This study introduced a CPCE model to reveal random propagation and dynamic sensitivity of uncertainty parameters in hydrologic prediction. The CPCE model not only reflects uncertainty propagation in stochastic hydrological simulation, but also has the capability of random forecasting. The maximum soil moisture capacity and the spatial variability in soil moisture capacities have significant impacts on the accuracy of low-flow and high-flow forecasting, respectively.
JOURNAL OF HYDROLOGY
(2021)
Article
Materials Science, Multidisciplinary
Xiujuan Chen, Guohe Huang, Chunjiang An, Renfei Feng, Yinghui Wu, Charley Huang
Summary: In this study, a superwetting and robust PES-PAA-ZrO2 nanofiltration membrane was proposed for efficient removal of PAHs in water. The membrane modification significantly reduced the water contact angle, improved wastewater treatment efficiency, and demonstrated excellent durability.
JOURNAL OF MATERIALS SCIENCE & TECHNOLOGY
(2022)
Article
Green & Sustainable Science & Technology
Chuyin Tian, Guohe Huang, Yulei Xie
Summary: This study developed a two-stage fuzzy-stochastic chance-constrained interval (TFCI) regional energy system optimization model to assess the rationality of existing hydropower exploitation plan in Sichuan, China. The results indicated the necessity to limit the expansion of hydropower installed capacity in order to improve the utilization efficiency of all renewable technologies.
Article
Energy & Fuels
Yanfeng Li, Yongping Li, Guohe Huang, Rubing Zheng
Summary: This study explored the impact of electricity trading on carbon emissions in China using various models and algorithms. The results showed that inter-provincial electricity imports offset carbon emissions, while exports increased carbon emissions. Additionally, the abundant hydropower resources in certain provinces reduced the impact of electricity exports on carbon emissions. Moreover, emission reductions were only observed when electricity trading was generated from renewable sources or if the exporting province had a lower carbon intensity than the importing province at the national level.
Article
Environmental Sciences
Xiaobo Zhai, Yongping Li, Yuan Ma, Guohe Huang, Yanfeng Li
Summary: With population growth, climate volatility, and economic expansion, the management of surface-groundwater faces significant challenges. In this study, a hybrid factorial optimization programming method is developed to effectively reflect multiple uncertainties and quantify the impacts of factors. A model is formulated for the Amu Darya River Basin, where various scenarios are analyzed. The findings highlight the importance of improving water transport efficiency and utilizing groundwater, as well as the significant effects of uncertainties, risk attitudes, and perception on the system's benefits and water-allocation scheme.
Article
Environmental Sciences
Yongfei Luan, Guohe Huang, Guanghui Zheng, Yuee Wang
Summary: This study analyzed the impact of land use on habitat quality and the relationship between human activity intensity and habitat quality in Guiyang. The results showed that human activities have a significant influence on urban habitat quality, and considering the dependencies between land use and human activities is crucial for improving urban land use efficiency and protecting the ecological environment.
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
(2022)
Article
Thermodynamics
Yong Cheng, Fukai Song, Lei Fu, Saishuai Dai, Zhiming Yuan, Atilla Incecik
Summary: This paper investigates the accessibility of wave energy absorption by a dual-pontoon floating breakwater integrated with hybrid-type wave energy converters (WECs) and proposes a hydraulic-pneumatic complementary energy extraction method. The performance of the system is validated through experiments and comparative analysis.
Article
Thermodynamics
Jing Gao, Chao Wang, Zhanwu Wang, Jin Lin, Runkai Zhang, Xin Wu, Guangyin Xu, Zhenfeng Wang
Summary: This study aims to establish a new integrated method for biomass cogeneration project site selection, with a focus on the application of the model in Henan Province. By integrating Geographic Information System and Multiple Criterion Decision Making methods, the study conducts site selection in two stages, providing a theoretical reference for the construction of biomass cogeneration projects.
Article
Thermodynamics
Mert Temiz, Ibrahim Dincer
Summary: The current study presents a hybrid small modular nuclear reactor and solar-based system for sustainable communities, integrating floating and bifacial photovoltaic arrays with a small modular reactor. The system efficiently generates power, hydrogen, ammonia, freshwater, and heat for residential, agricultural, and aquaculture facilities. Thermodynamic analysis shows high energy and exergy efficiencies, as well as large-scale ammonia production meeting the needs of metropolitan areas. The hybridization of nuclear and solar technologies offers advantages of reliability, environmental friendliness, and cost efficiency compared to renewable-alone and fossil-based systems.
Editorial Material
Thermodynamics
Wojciech Stanek, Wojciech Adamczyk
Article
Thermodynamics
Desheng Xu, Yanfeng Li, Tianmei Du, Hua Zhong, Youbo Huang, Lei Li, Xiangling Duanmu
Summary: This study investigates the optimization of hybrid mechanical-natural ventilation for smoke control in complex metro stations. The results show that atrium fires are more significantly impacted by outdoor temperature variations compared to concourse/platform fires. The gathered high-temperature smoke inside the atrium can reach up to 900 K under a 5 MW train fire energy release. The findings provide crucial engineering insights into integrating weather data and adaptable ventilation protocols for smoke prevention/mitigation.
Article
Thermodynamics
Da Guo, Heping Xie, Mingzhong Gao, Jianan Li, Zhiqiang He, Ling Chen, Cong Li, Le Zhao, Dingming Wang, Yiwei Zhang, Xin Fang, Guikang Liu, Zhongya Zhou, Lin Dai
Summary: This study proposes a new in-situ pressure-preserved coring tool and elaborates its pressure-preserving mechanism. The experimental and field test results demonstrate that this tool has a high pressure-preservation capability and can maintain a stable pressure in deep wells. This study provides a theoretical framework and design standards for the development of similar technologies.
Article
Thermodynamics
Aolin Lai, Qunwei Wang
Summary: This study assesses the impact of China's de-capacity policy on renewable energy development efficiency (REDE) using the Global-MSBM model and the difference-in-differences method. The findings indicate that the policy significantly enhances REDE, promoting technological advancements and marketization. Moreover, regions with stricter environmental regulations experience a higher impact.
Article
Thermodynamics
Mostafa Ghasemi, Hegazy Rezk
Summary: This study utilizes fuzzy modeling and optimization to enhance the performance of microbial fuel cells (MFCs). By simulating and analyzing experimental data sets, the ideal parameter values for increasing power density, COD elimination, and coulombic efficiency were determined. The results demonstrate that the fuzzy model and optimization methods can significantly improve the performance of MFCs.
Article
Thermodynamics
Zhang Ruan, Lianzhong Huang, Kai Wang, Ranqi Ma, Zhongyi Wang, Rui Zhang, Haoyang Zhao, Cong Wang
Summary: This paper proposes a grey box model for fuel consumption prediction of wing-diesel hybrid vessels based on feature construction. By using both parallel and series grey box modeling methods and six machine learning algorithms, twelve combinations of prediction models are established. A feature construction method based on the aerodynamic performance of the wing and the energy relationship of the hybrid system is introduced. The best combination is obtained by considering the root mean square error, and it shows improved accuracy compared to the white box model. The proposed grey box model can accurately predict the daily fuel consumption of wing-diesel hybrid vessels, contributing to operational optimization and the greenization and decarbonization of the shipping industry.
Article
Thermodynamics
Huayi Chang, Nico Heerink, Junbiao Zhang, Ke He
Summary: This study examines the interaction between off-farm employment decisions between couples and household clean energy consumption in rural China, and finds that two-paycheck households are more likely to consume clean energy. The off-farm employment of women is a key factor driving household clean energy consumption to a higher level, with wage-employed wives having a stronger influence on these decisions than self-employed ones.
Article
Thermodynamics
Hanguan Wen, Xiufeng Liu, Ming Yang, Bo Lei, Xu Cheng, Zhe Chen
Summary: Demand-side management is crucial to smart energy systems. This paper proposes a data-driven approach to understand the relationship between energy consumption patterns and household characteristics for better DSM services. The proposed method uses a clustering algorithm to generate optimal customer groups for DSM and a deep learning model for training. The model can predict the possibility of DSM membership for a given household. The results demonstrate the usefulness of weekly energy consumption data and household socio-demographic information for distinguishing consumer groups and the potential for targeted DSM strategies.
Article
Thermodynamics
Xinglan Hou, Xiuping Zhong, Shuaishuai Nie, Yafei Wang, Guigang Tu, Yingrui Ma, Kunyan Liu, Chen Chen
Summary: This study explores the feasibility of utilizing a multi-level horizontal branch well heat recovery system in the Qiabuqia geothermal field. The research systematically investigates the effects of various engineering parameters on production temperature, establishes mathematical models to describe their relationships, and evaluates the economic viability of the system. The findings demonstrate the significant economic feasibility of the multi-level branch well system.
Article
Thermodynamics
Longxin Zhang, Songtao Wang, Site Hu
Summary: This investigation reveals the influence of tip leakage flow on the modern transonic rotor and finds that the increase of tip clearance size leads to a decline in rotor performance. However, an optimal tip clearance size can extend the rotor's stall margin.
Article
Thermodynamics
Kristian Gjoka, Behzad Rismanchi, Robert H. Crawford
Summary: This paper proposes a framework for assessing the performance of 5GDHC systems and demonstrates it through a case study in a university campus in Melbourne, Australia. The results show that 5GDHC systems are a cost-effective and environmentally viable solution in mild climates, and their successful implementation in Australia can create new market opportunities and potential adoption in other countries with similar climatic conditions.
Article
Thermodynamics
Jianwei Li, Guotai Wang, Panpan Yang, Yongshuang Wen, Leian Zhang, Rujun Song, Chengwei Hou
Summary: This study proposes an orientation-adaptive electromagnetic energy harvester by introducing a rotatable bluff body, which allows for self-regulation to cater for changing wind flow direction. Experimental results show that the output power of the energy harvester can be greatly enhanced with increased rotatory inertia of the rotating bluff body, providing a promising solution for harnessing wind-induced vibration energy.
