
Climatic Change, Год журнала: 2025, Номер 178(5)
Опубликована: Май 1, 2025
Язык: Английский
Climatic Change, Год журнала: 2025, Номер 178(5)
Опубликована: Май 1, 2025
Язык: Английский
Sustainable Cities and Society, Год журнала: 2022, Номер 88, С. 104279 - 104279
Опубликована: Окт. 27, 2022
Язык: Английский
Процитировано
88Renewable and Sustainable Energy Reviews, Год журнала: 2022, Номер 162, С. 112463 - 112463
Опубликована: Апрель 19, 2022
Язык: Английский
Процитировано
73Environmental Research, Год журнала: 2024, Номер 246, С. 118115 - 118115
Опубликована: Янв. 9, 2024
Mounting evidence supports the connections between exposure to environmental typologies––such as green spaces––and human health. However, mechanistic links that connect biodiversity (the variety of life) and health, extent supporting remain less clear. Here, we undertook a scoping review map health summarise levels associated using an established weight framework. Distinct from other reviews, provide additional context regarding environment-microbiome-health axis, evaluate buffering pathway (e.g., impacts on air pollution), examples three under- or minimally-represented linkages. The are (1) Indigenous Peoples' (2) urban social equity, (3) COVID-19. We observed moderate level support microbiota-human moderate-high broader nature pathways greenspace) various outcomes, stress reduction enhanced wellbeing improved cohesion. studies did not typically include specific metrics, indicating clear research gaps. Further is required understand causative metrics such taxonomy, diversity/richness, structure, function) outcomes. There well-established frameworks assess effects broad classifications These can assist future in linking Our underrepresented linkages highlight roles its loss lived experiences, infectious diseases, sovereignty livelihoods. More awareness these socioecological interconnections needed.
Язык: Английский
Процитировано
25Building and Environment, Год журнала: 2020, Номер 183, С. 107212 - 107212
Опубликована: Авг. 24, 2020
Indoor climate is closely related to human health, comfort and productivity. Vertical plant wall systems, embedded with sensors actuators, have become a promising application for indoor control. In this study, we explore the possibility of applying machine learning based anomaly detection methods vertical systems so as enhance automation improve intelligence realize predictive maintenance climate. Two categories anomalies, namely point anomalies contextual are researched. Prediction-based pattern recognition-based investigated applied detection. The results show that neural network-based models, specifically autoencoder (AE) long short-term memory encoder decoder (LSTM-ED) model surpass others in terms detecting respectively, therefore can be deployed into walls industrial practice. Based on results, new data cleaning method proposed prediction-based cloud practice proof-of-concept. This study showcases advancements Internet things fully utilized by researches building environment accelerate solution development.
Язык: Английский
Процитировано
88Environment Development and Sustainability, Год журнала: 2022, Номер 25(10), С. 10485 - 10531
Опубликована: Июль 18, 2022
Язык: Английский
Процитировано
61Building and Environment, Год журнала: 2022, Номер 216, С. 109021 - 109021
Опубликована: Март 28, 2022
Язык: Английский
Процитировано
45Sustainable Cities and Society, Год журнала: 2021, Номер 75, С. 103309 - 103309
Опубликована: Авг. 28, 2021
Язык: Английский
Процитировано
48Environmental Science and Pollution Research, Год журнала: 2022, Номер 29(40), С. 60641 - 60661
Опубликована: Апрель 15, 2022
Язык: Английский
Процитировано
36Building and Environment, Год журнала: 2023, Номер 243, С. 110701 - 110701
Опубликована: Авг. 2, 2023
Язык: Английский
Процитировано
22Building and Environment, Год журнала: 2023, Номер 244, С. 110762 - 110762
Опубликована: Авг. 22, 2023
Densely built areas are affected by higher air-pollutant concentrations, representing a significant risk to public health. At the same time, urban settlements have remarkable environmental impact: cities responsible for 70% of annual carbon emissions while buildings account 37% global energy and process emissions. Moreover, people living in frequently exposed extreme micro-climate conditions caused heat island effect, related increased external air temperature peculiarities environment. Given this framework considering Sustainable Development Goals, it is necessary point out some effective strategical mitigation measures ameliorate conditions, reduce pollutants concentration enhance building performance. This paper investigates potential advantages green roofs as retrofitting solutions tree planting on several parameters particulate matter concentration, an industrial district located Italy using ENVI-met software. The influence extensive roof performance further investigated at level recurring Design Builder models. Results showed that could up 1.5 °C, outer surface 15 °C wind speed 50% compared current state conditions. application let also achieve savings 15% both summer winter seasons. Focusing effect matter, intensive proved be more efficient capturing pollutants.
Язык: Английский
Процитировано
22