Article
Materials Science, Characterization & Testing
Nitin Nagesh Kulkarni, Shweta Dabetwar, Jason Benoit, Tzuyang Yu, Alessandro Sabato
Summary: This study improves the accuracy of infrared thermography (IRT) in detecting voids underneath roadways by comparing and validating three advanced image-processing techniques. Among them, sparse principal component thermography (S-PCT) allows determining the physical size of voids with an accuracy above 95%. This research provides a foundation for advancing the use of IRT as a more accurate and cost-effective method for road condition monitoring.
NDT & E INTERNATIONAL
(2022)
Article
Construction & Building Technology
Zun Wang, Zhaowen Qiu, Di Nie, Rong He, Wenyue Liu
Summary: The study investigates the respiratory health risk of pedestrians at a signalized intersection in Xi'an, China, by analyzing the spatial distribution of particulate matter (PM) and the respiratory exposure dose. Results show that the particle number concentrations (PNCs) were higher at the entrance compared to the exit, and peaked at different heights for different particle modes in the vertical vibration of the intersection. The study also calculated the respiratory deposition dose (RDD) rate for pedestrians at the intersection, showing varying exposure levels for different age groups.
BUILDING AND ENVIRONMENT
(2021)
Article
Construction & Building Technology
Nitin Nagesh Kulkarni, Koosha Raisi, Nicholas A. Valente, Jason Benoit, Tzuyang Yu, Alessandro Sabato
Summary: This research presents an automated approach for detecting sub-pavement voids using infrared (IR) images collected with an unmanned aerial vehicle. The approach achieved comparable accuracy to ground penetrating radar while reducing inspection time. The method outperformed other deep learning algorithms by 24% in detecting both visible and sub-pavement defects.
AUTOMATION IN CONSTRUCTION
(2023)
Article
Computer Science, Information Systems
Lu Wang, Jian Ma, Xuan Zhao, Xuebo Li
Summary: This paper proposes a novel method for developing driving cycles for battery electric vehicles in Xi'an city, utilizing a combination of data collection methods, dimension reduction, and clustering techniques to select a target cycle. The effectiveness of the proposed method is demonstrated through a comparative study, revealing the typicality of the target cycle compared to other legislative cycles.
Article
Environmental Sciences
Luyao Wang, Dongxiao Niu, Hong Fan, Xiaoyu Long
Summary: Preventing high concentrations of PM2.5 is a challenge for rapidly urbanized cities. This study examines the effects of urban configuration on PM2.5 concentrations and proposes practical approaches for sustainable development. The results suggest that the areas of residence and industry are positively related to PM2.5 concentrations, while the area of public service facilities is negatively related. The accessibility between residence and industry plays a key role in determining PM2.5 concentrations. The study provides insights for decision makers in optimizing urban constructions and achieving sustainable development goals.
ENVIRONMENT INTERNATIONAL
(2022)
Article
Energy & Fuels
Maki Okada, Koji Yamaguchi, Ryo Kodama, Norimitsu Ogasawara, Hisashi Kato, Van Quang Doan, Noriko N. Ishizaki, Hiroyuki Kusaka
Summary: This study proposed a new real-time wind power ramp forecast framework based on PCA for optimal NWP model selection, utilizing statistical methods for NWP optimization to improve detection probability for actual ramp events.
Article
Environmental Sciences
Jieru Zheng, Zixi Liu, Xinnuo He, Zhuanxi Luo
Summary: This study analyzed the long-term changes of groundwater levels and their driving factors using the case of Zhangjiakou City. The results showed a continuous decline in groundwater levels, with socio-economic factors being the main driving force.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Energy & Fuels
Abderrezzaq Ziane, Ammar Necaibia, Nordine Sahouane, Rachid Dabou, Mohammed Mostefaoui, Ahmed Bouraiou, Seyfallah Khelifi, Abdelkrim Rouabhia, Mohamed Blal
Summary: Meteorological variables have a significant impact on the performance of grid-connected photovoltaic stations in desert areas. The study found clear interdependence and correlations between performance parameters and meteorological variables. A forecasting model using random forest method and preprocessing techniques showed promising results in predicting power production based on meteorological inputs, with evaluation based on computation time, accuracy, and statistical indicators.
Article
Engineering, Environmental
Mahshid Karimi, Kaka Shahedi, Tayeb Raziei, Mirhassan Miryaghoubzadeh
Summary: Drought is a devastating natural hazard that affects millions of people worldwide. Monitoring and assessing drought is crucial, and this study proposes a comprehensive drought index called Combined Drought Index (CDI) by combining multiple indices. The CDI was applied to monitor meteorological and agricultural droughts in southwestern Iran. The results showed that the CDI had a high correlation with other indices, indicating its ability for comprehensive drought monitoring.
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
(2022)
Article
Environmental Sciences
Greem Lee, Yun Gon Lee, Eunsun Jeong, Chang-Hoi Ho
Summary: This study investigated the influence of meteorological factors on PM concentrations in different regions of Korea. Results showed significant variations in PM concentrations across regions and seasons, controlled by factors such as air temperature and wind. The study suggests that regulatory policies should consider future changes in atmospheric conditions to address potential increases in PM levels.
ATMOSPHERIC ENVIRONMENT
(2021)
Article
Environmental Sciences
Jianwu Xiong, Jin Li, Yin Zhang, Gang Mao
Summary: Air pollution is a pressing problem in Chinese cities, with traffic-related pollutants like NO2 playing a significant role. This study analyzes the meteorological influences on air pollutants in Chengdu, and identifies visibility, wind speed, precipitation, and cloud condition as the most influential factors. The findings provide guidance for urban planning optimization and air environment protection.
WATER AIR AND SOIL POLLUTION
(2023)
Article
Engineering, Multidisciplinary
Lu Shi, Yue-feng Zhao
Summary: With the continuous increase in the resolution of high-resolution remote sensing satellite images, shadows have increasingly impacted feature target recognition and classification in images, urban reconstruction, and image interpretation. We propose a novel mixed shadow detection index (MSDI) for extracting urban feature shadows, which achieved excellent shadow detection results and accurately recognized waters, easily missed small shadowed areas, and easily confused non-shadowed areas.
ALEXANDRIA ENGINEERING JOURNAL
(2023)
Article
Environmental Sciences
Pedro Trechera, Meritxell Garcia-Marles, Xiansheng Liu, Cristina Reche, Noemi Perez, Marjan Savadkoohi, David Beddows, Imre Salma, Mate Vorosmarty, Andrea Casans, Juan Andres Casquero-Vera, Christoph Hueglin, Nicolas Marchand, Benjamin Chazeau, Gregory Gille, Panayiotis Kalkavouras, Nikos Mihalopoulos, Jakub Ondracek, Nadia Zikova, Jarkko V. Niemi, Hanna E. Manninen, David C. Green, Anja H. Tremper, Michael Norman, Stergios Vratolis, Konstantinos Eleftheriadis, Francisco J. Gomez-Moreno, Elisabeth Alonso-Blanco, Holger Gerwig, Alfred Wiedensohler, Kay Weinhold, Maik Merkel, Susanne Bastian, Jean-Eudes Petit, Olivier Favez, Suzanne Crumeyrolle, Nicolas Ferlay, Sebastiao Martins Dos Santos, Jean-Philippe Putaud, Hilkka Timonen, Janne Lampilahti, Christof Asbach, Carmen Wolf, Heinz Kaminski, Hicran Altug, Barbara Hoffmann, David Q. Rich, Marco Pandolfi, Roy M. Harrison, Philip K. Hopke, Tuukka Petaja, Andres Alastuey, Xavier Querol
Summary: This study evaluated the hourly particle number size distributions (PNSD) from 26 sites in Europe and 1 in the US, focusing on urban background (UB) and traffic (TR) sites. The objective was to describe the characteristics of urban ultrafine particles (UFP) in Europe. The results showed variations in PNC and BC across different regions and site types, with traffic emissions being a major contributor. The study emphasized the need for specific monitoring of PNSD and measurements of <10 nm PNC for assessing the health effects of nanoparticles.
ENVIRONMENT INTERNATIONAL
(2023)
Article
Environmental Sciences
J. A. Casquero-Vera, H. Lyamani, G. Titos, G. de A. Moreira, J. A. Benavent-Oltra, M. Conte, D. Contini, L. Jarvi, F. J. Olmo-Reyes, L. Alados-Arboledas
Summary: Although aerosol number flux measurements are scarce in urban areas, they are important in understanding the sources and impacts of aerosol particles on human health and climate. This study conducted long-term measurements in an urban area in Granada, Spain and found that the city acted as a net source of aerosol particles, with traffic emissions playing a significant role. Winter had higher aerosol emissions due to domestic heating and burning of agricultural waste.
ATMOSPHERIC ENVIRONMENT
(2022)
Article
Environmental Sciences
Juan Wen, Shijie Geng, Lijun Zhu, Xiaodie Yao, Yonglin Zhou, Fei Shen, Zhe Wang, Yinghua Ma, Yifang Feng, Zongli Huo, Feng Zhu
Summary: Despite limited biomonitoring studies, the extent of antibiotic exposure and potential health risks in young children remains unclear. In this study, 508 preschoolers aged 3-6 years from eastern China were analyzed for antibiotic exposure levels. Results showed that 41 antibiotics were detected in children's urine, with a high overall detection frequency. Children with higher consumption of seafood had increased exposure to multiple categories of antibiotics. The study highlights the widespread antibiotic exposure among preschool children in eastern China.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Environmental Sciences
Zhaowen Qiu, Jianhua Song, Xiaoqin Xu, Yaping Luo, Ruini Zhao, Wencai Zhou, Bihai Xiang, Yanzhao Hao
ATMOSPHERIC POLLUTION RESEARCH
(2017)
Article
Environmental Sciences
Zhaowen Qiu, Jianhua Song, Caihong Hao, Xiaoxia Li, H. Oliver Gao
ATMOSPHERIC POLLUTION RESEARCH
(2018)
Article
Environmental Sciences
Jianhua Song, Gang Ren, Zhaowen Qiu, Huitao Lv
Summary: This study investigated the impact of signal timing and meteorological variables on different size ranges of PM at a signalized intersection, revealing a positive relationship between fine particles and wind speed as well as vehicles per cycle. Regression analysis indicated that temperature and delay have significant effects on fine particles. Moreover, simulation results demonstrated the potential reduction of pollutant levels with signal timing optimization.
ATMOSPHERIC POLLUTION RESEARCH
(2021)
Article
Construction & Building Technology
Jianhua Song, Zhaowen Qiu, Gang Ren, Xiaoxia Li
SUSTAINABLE CITIES AND SOCIETY
(2020)
Article
Environmental Sciences
Huitao Lv, Haojie Li, Zhaowen Qiu, Fan Zhang, Jianhua Song
Summary: Assessment of pedestrian exposure and lung deposition in Xi'an, China revealed variations in particulate matter deposition among different age groups and genders, with higher total deposition doses in males for most particle-size fractions. The study also found that ultrafine particles (UFP) had higher deposition in the pulmonary region, emphasizing the need to include UFP in current air-quality indices.
ATMOSPHERIC POLLUTION RESEARCH
(2021)
Article
Engineering, Civil
Jiefei Zhang, Gang Ren, Jianhua Song
Summary: This paper proposes a resilience-based optimization model for choosing the optimal restoration sequence scheme in metro station restoration, considering budget limitations and repair time uncertainty. The model aims to maximize the global average efficiency while meeting the given resilience requirements of network accessibility. A case study in Nanjing and Zhengzhou provides insights into restoration sequence strategies. The study shows that the distribution of damaged stations and their repair time play crucial roles in determining the optimal restoration sequence.
JOURNAL OF ADVANCED TRANSPORTATION
(2022)
Article
Environmental Studies
Jianhua Song, Gang Ren, Jiefei Zhang, Zhaowen Qiu
Summary: The study investigated the changes in zone of influence (ZoI) for traffic-related emissions at different bus stops. Results showed that lane management mode and traffic conditions significantly impacted vehicle emissions near bus stops, with pollutants having the highest emission factors (EFs) in the acceleration sublink. The length of the acceleration and queue sublinks determined the length of the ZoIs. Commuters should reduce waiting time, wait downstream of the bus stop, and vehicles at the bus stop should accelerate slowly when leaving.
INTERNATIONAL JOURNAL OF URBAN SCIENCES
(2023)
Article
Construction & Building Technology
Gabriele Bernardini, Tiago Miguel Ferreira, Pilar Baquedano Julia, Rafael Ramirez Eudave, Enrico Quagliarini
Summary: This research offers a methodology for combined spatiotemporal flood risk assessment, considering hazard, physical vulnerability, user exposure, and vulnerability. It adopts a mesoscale approach and investigates indoor and outdoor users' exposure and vulnerability, using the Analytical Hierarchy Process to combine risk factors.
SUSTAINABLE CITIES AND SOCIETY
(2024)
Article
Construction & Building Technology
Ying Liu, Chunli Chu, Ruijun Zhang, Shaoqing Chen, Chao Xu, Dongliang Zhao, Chunchun Meng, Meiting Ju, Zhi Cao
Summary: This study investigates the effects of increasing road, wall, and roof albedo on mitigating the urban heat island (UHI) effect in different areas of Tianjin. The results reveal that increasing road albedo is more effective in fringe areas, while increasing wall and roof albedo is more effective in central areas. The temperature changes induced by albedo changes also show seasonal characteristics.
SUSTAINABLE CITIES AND SOCIETY
(2024)
Article
Construction & Building Technology
Xisheng Lin, Yunfei Fu, Daniel Z. Peng, Chun-Ho Liu, Mengyuan Chu, Zengshun Chen, Fan Yang, Tim K. T. Tse, Cruz Y. Li, Xinxin Feng
Summary: This study employed computational fluid dynamics and neural network models to investigate and predict pollutant dispersion in urban environments, providing valuable insights for designing effective strategies to mitigate the impacts of hazardous pollutants.
SUSTAINABLE CITIES AND SOCIETY
(2024)
Article
Construction & Building Technology
Dipanjan Nag, Arkopal Kishore Goswami
Summary: Future-oriented urban planning should continue to focus on the principles of accessible and walkable cities. The perception of people is crucial for developing better urban walking infrastructure, but current evaluation tools often neglect the "perceived" features of the walking network. This study used conjoint analysis to evaluate users' perception of link and network attributes, revealing the importance of considering both in improving the walking environment.
SUSTAINABLE CITIES AND SOCIETY
(2024)
Article
Construction & Building Technology
Yongxin Su, Tao Zhang, Mengyao Xu, Mao Tan, Yuzhou Zhang, Rui Wang, Ling Wang
Summary: This study proposes an optimization method for household integrated demand response (HIDR) by combining rough knowledge and a dueling deep Q-network (DDQN), aiming to address uncertainties in a household multi-energy system (HMES). The simulation results demonstrate that the proposed method outperforms rule-based methods and DDQN in terms of energy cost savings.
SUSTAINABLE CITIES AND SOCIETY
(2024)
Article
Construction & Building Technology
Sijia Sun, S. F. A. Batista, Monica Menendez, Yuanqing Wang, Shuang Zhang
Summary: This paper comprehensively analyzes the energy consumption characteristics of electric buses (EBs) and diesel buses (DBs) on different bus lane configurations and operational conditions. The study shows that EBs consume less energy in suburban areas when using regular lanes, while both EBs and DBs save substantial energy when operating on dedicated bus lanes in downtown areas. Notably, shared-use bus lanes have the highest energy consumption.
SUSTAINABLE CITIES AND SOCIETY
(2024)
Article
Construction & Building Technology
Shangshang Shen, Dan Yan, Xiaojie Liu
Summary: This study developed a comprehensive theoretical framework for evaluating, diagnosing, and optimizing multi-functional urban agriculture. The framework was applied in Xiamen, China to identify the obstacles that impede its coordinated development and propose optimized modes for its development. Results showed that urban agriculture in Xiamen exhibits sound social function, moderate economic function, and poor ecological function.
SUSTAINABLE CITIES AND SOCIETY
(2024)
Article
Construction & Building Technology
Oluwafemi E. Adeyeri, Akinleye H. Folorunsho, Kayode I. Ayegbusi, Vishal Bobde, Tolulope E. Adeliyi, Christopher E. Ndehedehe, Akintomide A. Akinsanola
Summary: This study examines the impact of land cover, vegetation health, climatic forcings, elevation heat loads, and terrain characteristics on land surface temperature distribution over West Africa. The random forest model performs the best in downscaling predictands. The southern regions consistently exhibit healthy vegetation, while areas with unhealthy vegetation coincide with hot land surface temperature clusters. Positive Normalized Difference Vegetation Index trends in the Sahel highlight rainfall recovery and subsequent greening. Southwest winds cause the upwelling of cold waters, resulting in low land surface temperatures in southern West Africa. Considering LVCET factors is crucial for prioritizing greening initiatives and urban planning.
SUSTAINABLE CITIES AND SOCIETY
(2024)
Article
Construction & Building Technology
Yuchi Cao, Yan Li, Shouyun Shen, Weiwei Wang, Xiao Peng, Jiaao Chen, Jingpeng Liao, Xinyi Lv, Yifan Liu, Lehan Ma, Guodian Hu, Jinghuan Jiang, Dan Sun, Qingchu Jiang, Qiulin Liao
Summary: The study reveals significant disparities in urban green equity, with high property price areas having better access to green spaces than low property price areas. Landscape and greening have the most significant impact on urban green space differentiation.
SUSTAINABLE CITIES AND SOCIETY
(2024)
Article
Construction & Building Technology
Shaobo Sun, Kui Shan, Shengwei Wang
Summary: Economizer control is an important measure for energy savings in air-conditioning systems during moderate seasons. Humidity measurement uncertainties have a significant impact on enthalpy-based economizer control, and an uncertainty-tolerant control strategy is proposed to mitigate these effects.
SUSTAINABLE CITIES AND SOCIETY
(2024)
Article
Construction & Building Technology
Ding Mao, Peng Wang, Yi-Ping Fang, Long Ni
Summary: This study analyzes the structure, function, operation, and failure characteristics of district heating networks (DHNs) and proposes vulnerability analysis methods. The effectiveness of these methods is validated through application to a DHN in a Chinese city. The study finds that the heat source connectivity efficiency loss rate effectively characterizes topological and functional vulnerability. It also reveals that controllable DHNs have higher functional vulnerability under large area failure scenarios.
SUSTAINABLE CITIES AND SOCIETY
(2024)
Article
Construction & Building Technology
Hamid Karimi, Saeed Hasanzadeh, Hedayat Saboori
Summary: This paper presents a stochastic and cooperative approach for the operation of a cluster of interconnected multi-energy systems. The proposed model investigates the interaction among energy systems and integrates hydrogen and water systems into the overall energy structure. The model studies the performance of energy system agents in decentralized and cooperative scheduling.
SUSTAINABLE CITIES AND SOCIETY
(2024)
Article
Construction & Building Technology
Zhiyu Yan, Xiaogang Guo, Zilong Zhao, Luliang Tang
Summary: This study proposes a novel framework for fine-grained information extraction and dynamic spatial-temporal awareness in disaster-stricken areas based on social media data. The framework utilizes deep learning modules to extract location and water depth information from text and images, and analyzes the spatio-temporal distribution characteristics. The results show that the fusion of text and image-based information can enhance the perception of flood processes.
SUSTAINABLE CITIES AND SOCIETY
(2024)
Article
Construction & Building Technology
M. A. Pans, G. Claudio, P. C. Eames
Summary: This study simulated and optimized a speculative district heating system in an existing urban area in Loughborough, UK. The system used only renewable heat sources and thermal energy storage to address the mismatch between heat generation and demand. The study assessed the impact of long-term storage volume and charging temperature on system cost and energy efficiency.
SUSTAINABLE CITIES AND SOCIETY
(2024)
Article
Construction & Building Technology
Jianmei Zhong, Wei Zhang, Xiaoli Wang, Jinsheng Zhan, Tao Xia, Lingzhi Xie, Xiding Zeng, Kun Yang, Zhangyu Li, Ruiwen Zou, Zepu Bai, Qing Wang, Chenyang Zhang
Summary: This study aims to propose a suitable air distribution design and reduce the energy consumption of the BSL-4 laboratory. It analyzes the diffusion characteristics of aerosols, infection risk under different air distributions, and ventilation parameters. The results show that the proposed energy-saving operation strategy can reduce the energy consumption of the laboratory by 15-30%.
SUSTAINABLE CITIES AND SOCIETY
(2024)