Data-Driven Approach for Optimising Plant Species Selection and Planting Design on Outdoor Modular Green Wall with Aesthetic, Maintenance, and Water-Saving Goals DOI Open Access
Caroline M. Y. Law,

Hervey F. Law,

C. H. Li

et al.

Sustainability, Journal Year: 2025, Volume and Issue: 17(8), P. 3528 - 3528

Published: April 15, 2025

Modular green wall, or living wall (LW) system, has evolved worldwide over the past decades as a popular building feature and nature-based solution. Differential climatic conditions across globe make standardisation of practices inapplicable to local scenarios. LW projects with differing goals preferences like aesthetic (such plant healthiness), water-saving, minimal growth require optimal combinations species achieve single multiple goals. This exploratory study aimed deploy empirical field data optimise analytical models support selection design. Plant performance water demand 29 commonly used in outdoor modular systems without irrigation were collected subtropical Hong Kong for 3 weeks. The tested grouped into five forms: herbaceous perennials (16 spp), succulents (2 ferns shrubs (7 trees spp). species-specific height, LAI, health rating, absorption amount recorded every 6 days, together photo records. Total varied widely among species, ranging from 52.5 342.5 mL weeks (equivalent 2.5 16.3 per day). random forest algorithm proved that was dominant predictor tendency, other parameters. Hierarchical clustering similar rating tendencies four groups. threshold approach identified top-performing displayed healthy appearance basic prerequisite, coupled one two optional objectives: (1) water-saving (2) slow-growing. comparison scenarios based on projected (water demand, health, growth) provided sound evidence optimisation design sustainability. objectives inherited multitude multi-scalar properties; thus, simulation this demonstrated novel data-driven planting resource input.

Language: Английский

Environmental comfort in urban spaces: A systematic literature review and a system dynamics analysis DOI Creative Commons

sadaf ataee,

Myriam Lopes,

Hélder Relvas

et al.

Urban Climate, Journal Year: 2025, Volume and Issue: 60, P. 102340 - 102340

Published: Feb. 22, 2025

Language: Английский

Citations

0

Beyond Sustainability: The Role of Regenerative Design in Optimizing Indoor Environmental Quality DOI Open Access
Sanjay Kumar, Kimihiro Sakagami, Heow Pueh Lee

et al.

Sustainability, Journal Year: 2025, Volume and Issue: 17(6), P. 2342 - 2342

Published: March 7, 2025

The pursuit of sustainable design has made strides in improving building practices, yet traditional approaches often fall short addressing the holistic needs both environment and human well-being. This research delves into emerging field regenerative design, which extends beyond sustainability by seeking to restore enhance ecological systems. By integrating principles indoor environments, this study evaluates their impact on environmental quality (IEQ). Through a comprehensive literature review, demonstrates that can significantly air quality, thermal comfort, lighting, acoustics, ultimately creating healthier more productive spaces. paper also discusses potential challenges outlines future directions further advance application practices.

Language: Английский

Citations

0

Green System Effects on Energy Environmental Sustainability of Urban Built-Up Areas DOI Creative Commons
Carla Balocco, Giacomo Pierucci, Cristina Piselli

et al.

Energies, Journal Year: 2025, Volume and Issue: 18(7), P. 1640 - 1640

Published: March 25, 2025

This work presents a methodological approach for the assessment of combined effects air enthalpy variations due to presence green systems and building thermodynamics. It serves as valuable tool energy sustainability improvement urban areas defining scenarios integrated strategies with low environmental impact from perspective transition sustainability. The proposed is based on two methods, i.e., top-down bottom-up. Using thermodynamics, they allow evaluation ecosystem services in their areal distribution different built-up zones. an effective operational evaluations, focusing not only reduction anthropogenic impacts, mitigation heat islands, climate change adaptation but also promoting energy-efficient microclimate changes.

Language: Английский

Citations

0

Assessing the Impact of Ambient Noise on Outdoor Thermal Comfort on University Campuses: A Pilot Study in China’s Cold Region DOI Creative Commons

Shaobo Ning,

Wenqiang Jing,

Zhemin Ge

et al.

Atmosphere, Journal Year: 2025, Volume and Issue: 16(4), P. 410 - 410

Published: March 31, 2025

This study investigates the impact of different noise levels on thermal comfort in outdoor environments. The research was conducted two university squares Xi’an, China, exhibiting distinct exposures, with twenty volunteers participating study. These individuals provided subjective evaluations through questionnaires while situated environments disparate acoustic conditions conjunction documentation prevailing meteorological circumstances. analysis yielded three salient findings. Initially, a marked elevation perceived warmth noted experiencing higher levels, 35.29% subjects high-noise plaza (HP) reporting feeling warm (TSV = 2), which 11.76 percentage points than low-noise (LP). included 5.88 point uptick frequency “hot” 3) sensations reported HP. Furthermore, an intensification discomfort observed noisier settings, vote (TCV) HP encompassing spectrum from very uncomfortable to neutral and predominant 90% TCVs indicating discomfort, were deemed uncomfortable. Lastly, findings suggest that high-decibel exposure notably amplifies perception heat within specific high-temperature bandwidth. Beyond this delineated threshold, influence sensation substantially diminishes.

Language: Английский

Citations

0

Data-Driven Approach for Optimising Plant Species Selection and Planting Design on Outdoor Modular Green Wall with Aesthetic, Maintenance, and Water-Saving Goals DOI Open Access
Caroline M. Y. Law,

Hervey F. Law,

C. H. Li

et al.

Sustainability, Journal Year: 2025, Volume and Issue: 17(8), P. 3528 - 3528

Published: April 15, 2025

Modular green wall, or living wall (LW) system, has evolved worldwide over the past decades as a popular building feature and nature-based solution. Differential climatic conditions across globe make standardisation of practices inapplicable to local scenarios. LW projects with differing goals preferences like aesthetic (such plant healthiness), water-saving, minimal growth require optimal combinations species achieve single multiple goals. This exploratory study aimed deploy empirical field data optimise analytical models support selection design. Plant performance water demand 29 commonly used in outdoor modular systems without irrigation were collected subtropical Hong Kong for 3 weeks. The tested grouped into five forms: herbaceous perennials (16 spp), succulents (2 ferns shrubs (7 trees spp). species-specific height, LAI, health rating, absorption amount recorded every 6 days, together photo records. Total varied widely among species, ranging from 52.5 342.5 mL weeks (equivalent 2.5 16.3 per day). random forest algorithm proved that was dominant predictor tendency, other parameters. Hierarchical clustering similar rating tendencies four groups. threshold approach identified top-performing displayed healthy appearance basic prerequisite, coupled one two optional objectives: (1) water-saving (2) slow-growing. comparison scenarios based on projected (water demand, health, growth) provided sound evidence optimisation design sustainability. objectives inherited multitude multi-scalar properties; thus, simulation this demonstrated novel data-driven planting resource input.

Language: Английский

Citations

0