Cultural and social dimensions of green architecture: Designing for sustainability and community well-being

International Journal of Applied Research in Social Sciences, Год журнала: 2024, Номер 6(8), С. 1951 - 1968

Опубликована: Авг. 30, 2024

Green architecture transcends environmental sustainability by integrating cultural and social dimensions to foster community well-being. This explores how sustainable architectural practices can be harmoniously aligned with local identities needs, ultimately enhancing the quality of life for communities. begins establishing a theoretical framework that includes principles, considerations, inclusivity. It emphasizes effective green must respect traditions heritage, using indigenous materials techniques resonate community’s identity. sensitivity in design not only preserves landmarks but also ensures new structures are embraced populace. Furthermore, this review examines impact on By prioritizing health wellness through improved indoor air quality, natural lighting, biophilic elements, buildings contribute significantly physical mental health. These spaces designed cohesion creating inclusive, accessible environments encourage interactions engagement. The highlights participatory processes as essential successful architecture. Involving members development phases builds capital final meet specific needs aspirations community. Case studies urban spaces, housing developments, public illustrate practical application these showcasing projects have successfully integrated goals. Challenges such balancing goals, navigating policy regulatory frameworks, discussed. concludes advocating holistic approach leverages technological advancements support create sustainable, culturally resonant, socially inclusive environments. Future trends innovations field poised further enhance synergy between Keywords: Cultural, Social, Dimensions, Architecture, Community Well-being.

Язык: Английский

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The role of green building materials in sustainable architecture: Innovations, challenges, and future trends

International Journal of Applied Research in Social Sciences, Год журнала: 2024, Номер 6(8), С. 1935 - 1950

Опубликована: Авг. 30, 2024

The role of green building materials is pivotal in advancing sustainable architecture, as they contribute significantly to reducing the environmental impact construction and enhancing overall sustainability buildings. Green are defined by their eco-friendly properties, which include energy efficiency, resource conservation, minimal harm. This review explores latest innovations materials, highlighting advances such recycled upcycled biodegradable bio-based products, high-performance insulation technologies. Additionally, it examines smart including self-healing phase-change offer enhanced durability responsiveness conditions. Despite these advancements, adoption faces several challenges. High initial costs, performance concerns, supply chain issues present significant barriers widespread use. Regulatory certification processes also pose hurdles, impacting accessibility integration projects. Looking ahead, future trends promising. Emerging technologies, nanotechnology manufacturing processes, set revolutionize material science. with technologies promises efficiency monitoring. expanding market for certifications potential circular economy practices, design disassembly closed-loop systems, new opportunities development. While exciting overcoming existing challenges crucial broader adoption. Continued research, development, collaboration among stakeholders will be essential shaping achieving long-term goals built environment. Keywords: Building, Sustainable Architecture, Future Trends. Review.

Язык: Английский

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Sequence-variable attention temporal convolutional network for volcanic lithology identification based on well logs

Journal of Petroleum Exploration and Production Technology, Год журнала: 2025, Номер 15(1)

Опубликована: Янв. 1, 2025

Язык: Английский

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A novel early stage drip irrigation system cost estimation model based on management and environmental variables

Scientific Reports, Год журнала: 2025, Номер 15(1)

Опубликована: Фев. 3, 2025

One of the most significant, intricate, and little-discussed aspects pressurized irrigation is cost estimation. This study attempts to model early-stage drip system using a database 515 projects divided into four sections pumping station central control (TCP), on-farm equipment (TCF), installation operation (TCI), total (TCT). First, 39 environmental management features affecting listed sectors were extracted for each previously mentioned. A (a matrix × 43) was created, costs all updated baseline year 2022. Then, several feature selection algorithms, such as WCC, LCA, GA, PSO, ACO, ICA, LA, HTS, FOA, DSOS, CUK, employed choose significant that had biggest influence on cost. The carried out features) well easily available (those existed before system's design phase, 18 features). different machine learning models Multivariate Linear Regression, Support Vector Artificial Neural Networks, Gene Expression Programming, Genetic Algorithms, Deep Learning, Decision Trees, used estimate aforementioned sections. vector (SVM) optimization algorithms (Wrapper) found be best learner techniques, respectively, algorithms. two LCA FOA produced estimation, according evaluation criteria results. Their RMSE 0.0020 0.0018, their R2 0.94 0.94. For readily features, these 0.0006 0.95 both In part overall feature, modeling with selected revealed SVM (with RBF Kernel) among discussed. Its in training stage are = 0.923, 0.008, VE 0.082; testing stage, they 0.893, 0.009, 0.102. ANN (MLP) subset part, 0.912, 0.083 0.882, 0.103 stage. findings this can utilized highly accurately local systems based recognized parameters by employing particular models.

Язык: Английский

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The impact of green building certifications on market value and occupant satisfaction

International Journal of Management & Entrepreneurship Research, Год журнала: 2024, Номер 6(8), С. 2782 - 2796

Опубликована: Авг. 30, 2024

Green building certifications, such as LEED, BREEAM, and WELL, play a significant role in promoting sustainability enhancing the quality of built environment. This review explores dual impact these certifications on market value occupant satisfaction, providing comprehensive analysis based empirical data case studies. examines how green influence property value. Certified buildings often command higher values due to their superior energy efficiency, reduced operational costs, enhanced environmental performance. These attract premium rents exhibit occupancy rates, reflecting growing tenant preference for sustainable healthier living working environments. Investors developers are increasingly recognizing long-term financial benefits, including returns investment increased asset delves into satisfaction. Green-certified designed improve indoor quality, offering better air natural lighting, thermal comfort. features contribute well-being productivity occupants, evidenced by numerous surveys studies linking satisfaction levels. Occupants report fewer health issues, greater comfort, overall life, making desirable residential, commercial, institutional use. However, this also acknowledges challenges limitations associated with initial costs complexity certification processes. Despite challenges, benefits terms compelling. concludes highlighting future trends, advancements technologies increasing importance regulatory frameworks supporting practices. It underscores need holistic approach that integrates economic, environmental, social considerations maximize certifications. Keywords: Building, Market Value, Occupant Satisfaction, Review.

Язык: Английский

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Retrofitting existing buildings for sustainability: Challenges and innovations

Engineering Science & Technology Journal, Год журнала: 2024, Номер 5(8), С. 2616 - 2631

Опубликована: Авг. 31, 2024

Retrofitting existing buildings for sustainability is a critical strategy in addressing the environmental impact of built environment, enhancing economic benefits, and improving social well-being. As are significant contributors to global energy consumption carbon emissions, retrofitting presents valuable opportunity mitigate these effects. However, process involves numerous challenges, including technical, financial, regulatory, logistical obstacles. Structurally, integrating new technologies with outdated systems can be complex, while high initial costs uncertain returns on investment pose financial barriers. Regulatory issues, such as building codes zoning laws, further complicate efforts, potential disruption occupants adds operational difficulties. Despite innovations sustainable offer promising solutions. Energy-efficient technologies, advanced HVAC systems, high-performance insulation, energy-efficient lighting, significantly reduce consumption. The integration renewable sources, like solar panels, wind turbines, geothermal enhances sustainability. Smart automation IoT sensor networks, data analytics, enable precise management optimization. Additionally, use materials practices, green roofs, recycled materials, water conservation contributes overall retrofitted buildings. Successful case studies highlight feasibility benefits retrofitting, demonstrating gains historical, commercial, residential industry progresses, advancements increased regulatory support, growing market certifications will drive adoption. Public-private partnerships also present opportunities collaborative efforts promoting retrofitting. While entails various continuous innovation crucial overcoming Stakeholders, policymakers, professionals, property owners, must actively engage support initiatives achieve environment ensure long-term environmental, economic, benefits. Keywords: Sustainable Retrofitting, Building, Technology, Environmental Impact.

Язык: Английский

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Fracture toughness prediction using well logs and Extreme gradient Boosting based on particle swarm optimization in shale gas reservoir

Engineering Fracture Mechanics, Год журнала: 2024, Номер 315, С. 110759 - 110759

Опубликована: Дек. 28, 2024

Язык: Английский

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Resilient Semi-Supervised Meta-Learning Network based on wavelet transform and K-means optimization for fluid classification

Physics of Fluids, Год журнала: 2024, Номер 36(12)

Опубликована: Дек. 1, 2024

In the field of geological exploration, accurately distinguishing between different types fluids is crucial for development oil, gas, and mineral resources. Due to scarcity labeled samples, traditional supervised learning methods face significant limitations when processing well log data. To address this issue, paper presents a novel fluid classification method known as Resilient Semi-Supervised Meta-Learning Network (RSSMLN) based on wavelet transform K-means optimization, which combines advantages few-shot semi-supervised learning, aiming optimize recognition in Initially, study employs small set samples train initial model utilizes pseudo-label generation clustering prototypes, thereby enhancing model's accuracy generalization ability. Subsequently, during feature extraction process, preprocessing techniques are introduced enhance time-frequency representation data through multi-scale decomposition. This process effectively captures high-frequency low-frequency features, providing structured information subsequent convolution operations. By employing dual-channel heterogeneous convolutional kernel extractor, RSSMLN can capture subtle features significantly improve accuracy. Experimental results indicate that compared various standard deep models, achieves superior performance identification tasks. research provides reliable solution oilfield applications offers scientific support resource exploration evaluation.

Язык: Английский

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