Article
Geography
Ashraf Dewan, Grigory Kiselev, Dirk Botje
Summary: This study focused on the intensity of surface urban heat island (SUHI) in five major cities in Bangladesh and found that factors such as dense city population, a high degree of imperviousness, and the absence of greenery may contribute to urban warming. The findings of this study will help in developing effective local-scale climate change adaptation plans for the projected substantial increase in urban population in Bangladesh in the future.
Article
Construction & Building Technology
Asfa Siddiqui, Gautami Kushwaha, Bhaskar Nikam, S. K. Srivastav, Ankita Shelar, Pramod Kumar
Summary: This study investigates the changes and trends in land surface temperature and surface urban heat island intensity in three Indian cities over the past two decades, revealing a decrease in the diurnal temperature range and different patterns of urban heat island effects among cities.
SUSTAINABLE CITIES AND SOCIETY
(2021)
Article
Environmental Sciences
Darshana Athukorala, Yuji Murayama
Summary: Studying urban heat islands is crucial as urban land surface and heat island research are closely related. Temperature differences between urban and rural areas are influenced by building and green space coverage, with significant variations between day and night temperatures. The quality of life for urban residents is impacted by heatwaves, and urban planning should take steps to alleviate the urban heat island effect.
Article
Environmental Sciences
Dandan Wang, Yunhao Chen, Leiqiu Hu, James A. Voogt, Xiaoyu He
Summary: Remotely sensed land surface temperature (LST) is widely used in urban climate research, but it is subject to considerable angular variation due to non-isothermal facades and sensor viewing angles. This study modified and validated a satellite-based approach to estimate thermal anisotropy and compared the seasonal and diurnal variations in 25 global cities. The results show that urban thermal anisotropy is influenced by sensor angles, solar angles, urban surface properties, and geographic location. The findings provide insights for addressing anisotropy in satellite products and understanding its impact on LST applications in cities.
REMOTE SENSING OF ENVIRONMENT
(2022)
Article
Environmental Sciences
Yangsiyu Liao, Xi Shen, Ji Zhou, Jin Ma, Xiaodong Zhang, Wenbin Tang, Yongren Chen, Lirong Ding, Ziwei Wang
Summary: This study introduces a newly released all-weather land surface temperature (LST) product (TRIMS LST) to investigate the real surface urban heat island (SUHI) under different weather conditions in five megacities in China. It compares TRIMS SUHI with MODIS SUHI under different sky conditions and quantifies the influence of cloudiness on SUHI. The study also analyzes the clear-sky bias of SUHI using monthly TRIMS SUHI data.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Construction & Building Technology
Muhammad Farhan Ul Moazzam, Yang Hoi Doh, Byung Gul Lee
Summary: This study analyzed the land use and cover changes as well as the land surface temperature in Jeju Island using remote sensing data. The findings revealed that urbanization has led to the intensification of urban heat island effect. By measuring the temperature of different land types and correlating it with wind speed, an inverse relationship between surface urban heat island and wind speed was identified. The results of this research can be utilized by policymakers, planners, and climatologists for developing climate-resilient cities.
BUILDING AND ENVIRONMENT
(2022)
Article
Environmental Sciences
Nicola Colaninno, Eugenio Morello
Summary: This study introduces and validates an operational model for automating the estimation of high-resolution day and night near-surface air temperature (NSAT), which combines remote sensing data with meteorological station data and utilizes geographically weighted regression method for accurate estimation. The model is tested for different time slots and during a heatwave event, showing high accuracy across all time periods.
Article
Environmental Sciences
Alireza Karimi, Pir Mohammad, Sadaf Gachkar, Darya Gachkar, Antonio Garcia-Martinez, David Moreno-Rangel, Robert D. Brown
Summary: The study examined the diurnal, seasonal, monthly, and temporal variation of land surface temperature and surface urban heat island intensity in the Isfahan metropolitan area of Iran from 2003 to 2019 using MODIS data. It found the presence of urban cool islands during the daytime and urban heat islands at night, with nighttime SUHII showing negative correlation with Delta ET and Delta EVI. Summer months showed higher SUHII compared to winter months, with daytime SUHII demonstrating positive correlation with cropland and Delta WSA, and negative correlation with Delta ET, Delta EVI, and BI.
Article
Meteorology & Atmospheric Sciences
Neeru Jaiswal, Sanjib K. Deb, C. M. Kishtawal
Summary: The present paper discusses the development of a hybrid model for predicting near surface air temperature over the city scale. The model uses the correlation between temperature at each place within the city and its mean temperature. It estimates the mean temperature of a city using forecast data and downscale it to city scale using correlations estimated from high-resolution surface characteristics.
ATMOSPHERIC RESEARCH
(2023)
Article
Environmental Sciences
Abdelali Gourfi, Aude Nuscia Taibi, Salima Salhi, Mustapha El Hannani, Said Boujrouf
Summary: This study investigated the relationship between green surfaces, built-up areas, and surface urban heat island (SUHI) in Marrakesh using air temperature measurements and advanced earth system analysis. The results showed that bare ground played a key role in SUHI and had the highest correlation with temperature. The correlation between vegetation index and SUHI decreased over time due to changes in urban planning policy and urban growth.
Article
Chemistry, Analytical
Ifeanyi R. Ejiagha, M. Razu Ahmed, Ashraf Dewan, Anil Gupta, Elena Rangelova, Quazi K. Hassan
Summary: This study quantified the surface urban heat island (SUHI) in the cities of Calgary and Edmonton, Canada, and analyzed its trends and influencing factors. The results showed that both cities experienced continuous increases in the annual daytime and nighttime SUHI values. Population and built-up expansion were identified as the main factors influencing the SUHI.
Article
Environmental Sciences
Zhizheng Cai, Frank A. La Sorte, Yu Chen, Jiayu Wu
Summary: The audiovisual experience of observing birds in cities offers benefits to residents, but urbanization threatens their diversity. This study investigates the effects of the surface urban heat island effect (SUHI) on bird diversity in Chinese cities. The results show that the SUHI increases species richness and functional diversity in urban areas during the non-breeding season, but decreases it during the breeding season, irrespective of city size or location.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Article
Environmental Sciences
Sorin Cheval, Alexandru Dumitrescu, Adrian Irasoc, Monica-Gabriela Paraschiv, Michael Perry, Darren Ghent
Summary: This article presents the first country-wide study of the Surface Urban Heat Island (SUHI) in Romania, focusing on cities with a population of over 30,000 people. The study uses MODIS Land Surface Temperature (LST) data to examine the relationship between air temperature and LST, temporal variations in LST in urban areas, and the intensity of the SUHI across the country. The results indicate that there are significant differences between night-time and day-time conditions, and seasonal biases are observed. The findings show that city size, climate type, and land use-land cover conditions contribute to the magnitude of the SUHI in Romania.
Article
Geosciences, Multidisciplinary
Adil Dilawar, Baozhang Chen, Yongyut Trisurat, Venus Tuankrua, Arfan Arshad, Yawar Hussain, Simon Measho, Lifeng Guo, Alphonse Kayiranga, Huifang Zhang, Fei Wang, Shaobo Sun
Summary: The study reveals that urban thermal environment is influenced by various factors, with urban expansion leading to decreased vegetated area and increased LST. Rural areas experience a faster temperature rise, while remote-sensing indices indicate poor ecological conditions in urban environments.
GEOMATICS NATURAL HAZARDS & RISK
(2021)
Article
Environmental Sciences
Yao Shen, Chao Zeng, Qing Cheng, Huanfeng Shen
Summary: This research compared the spatial and temporal heat island patterns of two cities in China, Wuhan and Nanchang, with contrasting results. Nanchang showed higher and more fluctuating heat island intensity compared to Wuhan, with a noticeable expansion of the heat island center in Nanchang over the past 35 years. Additionally, different definitions of heat island intensity did not influence the spatial pattern and temporal trend of the surface urban heat island, but only affected the exact value of heat island intensity, especially in extreme weather conditions.
Article
Meteorology & Atmospheric Sciences
Abu Yousuf Md Abdullah, Md Hanif Bhuian, Grigory Kiselev, Ashraf Dewan, Quazi K. Hasan, M. Rafiuddin
Summary: This study aimed to understand the trends in extreme climatic events in coastal and inland areas of Bangladesh. Results showed significant warming in both areas, with coastal areas experiencing a higher rate of warming. While most extreme rainfall indices did not show significant changes, there was evidence of localized dryness and increased rainfall at individual stations. The decrease in rainfall in the drought-prone northwestern region was contrary to previous studies.
INTERNATIONAL JOURNAL OF CLIMATOLOGY
(2022)
Article
Environmental Sciences
Zakaria Shams Siam, Rubyat Tasnuva Hasan, Soumik Sarker Anik, Fahima Noor, Mohammed Sarfaraz Gani Adnan, Rashedur M. Rahman, Ashraf Dewan
Summary: This study presents a novel flood risk assessment framework using a hybridized deep neural network and fuzzy analytic hierarchy process models. It is applied in Bangladesh, and the results show that the framework can generate accurate flood risk maps. The study also identifies high-risk areas in Bangladesh, particularly in the northeast region and areas adjacent to the Ganges-Brahmaputra-Meghna rivers.
GEOCARTO INTERNATIONAL
(2022)
Article
Environmental Sciences
Shawky Mansour, Mohammed Alahmadi, Peter M. Atkinson, Ashraf Dewan
Summary: In recent years, socioeconomic transformation and social modernisation have led to the expansion of urban settlements in the Gulf Cooperation Council states, including desert cities. However, the prediction and research of desert urban patterns have been lacking, and this study focuses on the land use-land cover changes in the desert city of Ibri in Oman. The results show that the observed changes were rapid, with desert, bare land, and vegetation transforming into built-up areas. The forecast predicts a significant increase in land conversion from desert to urban in the next two decades.
Article
Multidisciplinary Sciences
Ashraf Dewan, Shamsuddin Shahid, Md. Hanif Bhuian, Shaikh M. Jobayed Hossain, Mohamed Salem Nashwan, Eun-Sung Chung, Quazi K. Hassan, Md Asaduzzaman
Summary: This study developed a high-resolution gridded rainfall data product for Bangladesh, utilizing in-situ rainfall observations from various sources and assessing its accuracy through leave-one-out cross-validation. The product showed good performance in capturing spatial and temporal variability and can provide reliable insights for hydrometeorological issues in Bangladesh.
Article
Geography
Khatun E. Zannat, Md Nazmul Huda Naim, K. M. Ashraful Islam, Sourav Das, Mohammed Sarfaraz Gani Adnan, Ashraf Dewan
Summary: Understanding children's mobility behavior and parents' escorting practices are crucial for developing a child-friendly society. This study developed an econometric model to investigate escorting practices in a developing country, specifically focusing on the Chattogram City Corporation area in Bangladesh. The findings showed that individual factors, socio-economic factors, school facilities, and built-environmental factors were significantly associated with parents' choice of chauffeuring their children. These results can be valuable for planners and policymakers in promoting children's independent mobility and incorporating their mobility demand into urban design.
CHILDRENS GEOGRAPHIES
(2023)
Article
Environmental Sciences
Md Mahbub Alam, A. S. M. Mahtab, M. Razu Ahmed, Quazi K. Hassan
Summary: The aim of this study was to develop a database of historical cold-related mortality in Bangladesh and analyze the spatiotemporal distribution, demographic dynamics, and causes of deaths. The study found that a total of 1249 people died in Bangladesh due to cold temperatures and cold-related illnesses during the winter months. The Rangpur Division had the highest number of cold-related deaths, likely due to the lowest average monthly air temperature and poorest socioeconomic conditions. The primary peak of cold-related mortality occurred in late December, with a secondary peak in January. Most deaths occurred when the daily maximum temperature was lower than 21 degrees C. Children aged six and under and senior citizens were the most vulnerable groups, and campfire burns were the primary cause of female deaths. Cold, cold-triggered illnesses, and campfire burns were the main factors contributing to cold-related mortality in Bangladesh.
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
(2022)
Article
Chemistry, Multidisciplinary
Dhananjay Deshmukh, M. Razu Ahmed, John Albino Dominic, Mohamed S. Zaghloul, Anil Gupta, Gopal Achari, Quazi K. Hassan
Summary: This study focused on identifying similarities in weather parameters collected from 19 stations within three weather networks in the Lower Athabasca River Basin. The stations were categorized into seven groups based on similar topography and land cover. The analysis revealed variations in similarities among the groups for different weather parameters. The findings could be crucial for optimizing existing weather networks and developing meteorological prediction models.
APPLIED SCIENCES-BASEL
(2022)
Review
Engineering, Electrical & Electronic
M. Razu Ahmed, Ebrahim Ghaderpour, Anil Gupta, Ashraf Dewan, Quazi K. Hassan
Summary: Understanding land surface temperature (LST) trends is essential for developing strategies to cope with climate change. This article reviews studies on spaceborne sensor-based LST trends using thermal infrared (TIR) and passive microwave (PMW) observations. Most studies use TIR, particularly MODIS observations. Challenges and research gaps in utilizing TIR and PMW observations are identified, along with recommendations for future investigations and directions to overcome limitations.
IEEE SENSORS JOURNAL
(2023)
Article
Chemistry, Analytical
Md. Mahbub Alam, A. S. M. Mahtab, M. Razu Ahmed, Quazi K. Hassan
Summary: This research examined the characteristics of cold days and spells in Bangladesh and quantified their rate of change during the winter months of 2000-2021. It found that cold days were more prevalent in the west-northwestern regions and gradually decreased towards the south and southeast. The highest number of cold spells occurred in the northwest Rajshahi division, while the lowest occurred in the northeast Sylhet division.
Article
Environmental Sciences
Mohamed Shawky, Quazi K. K. Hassan
Summary: This study aims to map and predict flash flood prone areas using the analytic hierarchy process (AHP) that integrates GIS capabilities, remote sensing datasets, the NASA Giovanni web tool application, and principal component analysis (PCA). Nineteen flash flood triggering parameters were considered, and the PCA algorithm was used to reduce subjectivity. The results showed that the AHP model had excellent predictive accuracy of 91.6%.
Article
Environmental Sciences
Hatef Dastour, Anil Gupta, Gopal Achari, Quazi K. K. Hassan
Summary: Stream and river monitoring play a crucial role in various industries such as agriculture, fishing, land surveillance, and oil and gas. This study introduces a new algorithm, Regime Shift Change Detection (RSCD), which can identify periods and regime changes without assumptions about their length. Two specializations of this algorithm, RSCD with Relative Difference (RSCD-RD) and RSCD with Growth Rate (RSCD-GR), were compared and their advantages were discussed. RSCD-RD outperformed RSCD-GR in detecting regime changes with general thresholds for cold and warm months. A regime change was detected in the monthly streamflow data of the Athabasca River at Athabasca, but not below Fort McMurray, suggesting possible factors such as water clarity and industrial water usage.
Article
Chemistry, Multidisciplinary
Md. Mahbub Alam, A. S. M. Mahtab, M. Razu Ahmed, Quazi K. Hassan
Summary: This study used the 10th percentiles of daily minimum and maximum temperatures during 1971-2000 to estimate a threshold for cold days. By applying this threshold to the winter months of 2000-2021, the number and trends of cold days and spells were calculated. The results showed that there were more cold days in the western and northwestern districts of Bangladesh compared to the southern, southeastern, and northeastern districts. Dinajpur and Rajshahi districts had the highest number of extreme and severe cold days, while Rajshahi division had the highest number of cold spells on average. The 10P method proposed in this study could be useful for policymakers in formulating strategies to minimize the impact of cold weather in Bangladesh.
APPLIED SCIENCES-BASEL
(2023)
Article
Water Resources
Hatef Dastour, Quazi K. Hassan
Summary: Having a complete hydrological time series is crucial but challenging in data-scarce environments. This study introduces an ensemble machine-learning regression framework to accurately model and predict monthly streamflow using historical data from multiple datasets.
Article
Ecology
M. Razu Ahmed, Quazi K. Hassan
Summary: This study analyzed the trends in forest fire occurrences, burned areas, and seasonality in the forested subregions of Alberta from 1959 to 2021. The results showed that all subregions, except for the Alpine subregion, experienced significantly increasing trends in fire occurrences. For burned areas, nine ecoregions showed decreasing monthly trends for small fires caused by humans, except for one subregion with an increasing trend in May. The study also revealed changes in the start and end of fire seasons, with longer fire seasons observed in five ecoregions. These findings provide valuable insights for fire management agencies and strategic planning.
Article
Green & Sustainable Science & Technology
Hatef Dastour, Quazi K. K. Hassan
Summary: The pace of LULC change has accelerated due to population growth, industrialization, and economic development. Recent advances in deep learning, transfer learning, and remote sensing technology have simplified the LULC classification problem. Deep transfer learning is particularly useful for addressing the issue of insufficient training data.
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)