Multi-Stage Optimization of Drainage Systems for Integrated Grey–Green Infrastructure under Backward Planning DOI Open Access

Chuanhao Sun,

Qiuyi Rao,

Mo Wang

и другие.

Water, Год журнала: 2024, Номер 16(13), С. 1825 - 1825

Опубликована: Июнь 27, 2024

In this study, a multi-stage planning framework was constructed by using SWMM simulation modeling and NSGA-II applied to optimize the layout of integrated grey–green infrastructure (IGGI) under land use change climate scenarios. The scenarios were determined based on master plan study area, with imperviousness 50.7% 62.0% for stage 1 2, respectively. Rainfall trends 2 Earth-E3 from CMIP6 model. rainfall in increased 14.9% 1. Based these two scenarios, spatial configuration IGGI layouts different degrees centralization (DCL) phases optimized, lowest life cycle cost (LCC) as optimization objective. results showed that DCL = 0 had better performance terms LCC. LCC only 66.9% 90.9%. Tech-R, than Furthermore, average technological resilience (Tech-R) index 0.8–3.4% higher Tech-R indices all layouts, TOPSIS used compare stages, it best economic benefits. will be useful exploring urban drainage systems sustainable stormwater management.

Язык: Английский

Multi-objective optimization of the spatial layout of green infrastructures with cost-effectiveness analysis under climate change scenarios DOI
Xin Zhang,

Wen Liu,

Qi Feng

и другие.

The Science of The Total Environment, Год журнала: 2024, Номер 948, С. 174851 - 174851

Опубликована: Июль 18, 2024

Язык: Английский

Процитировано

4

Multi-region models built with machine and deep learning for predicting several heat-related health outcomes DOI Creative Commons
Jérémie Boudreault, Annabel Ruf, Céline Campagna

и другие.

Sustainable Cities and Society, Год журнала: 2024, Номер 115, С. 105785 - 105785

Опубликована: Сен. 10, 2024

Язык: Английский

Процитировано

4

How does the construction of new generation of national AI innovative development pilot zones drive enterprise ESG development? Empirical evidence from China DOI
Yujie Huang, Shucheng Liu,

Jiawu Gan

и другие.

Energy Economics, Год журнала: 2024, Номер unknown, С. 108011 - 108011

Опубликована: Окт. 1, 2024

Язык: Английский

Процитировано

4

Non-linear research on artificial intelligence empowering green economic efficiency under integrated governance framework DOI Creative Commons

Zheng Qiang Song,

Yao Deng

Frontiers in Environmental Economics, Год журнала: 2025, Номер 3

Опубликована: Янв. 9, 2025

Artificial intelligence (AI) plays a pivotal role in the development of green economy. This paper examines impact artificial on economic efficiency (GEE) using panel data from 30 provinces China spanning 2011–2020. A multiple linear regression model, alongside various endogeneity and robustness tests, is applied to ensure reliable findings. The empirical results indicate that AI significantly enhances GEE. However, marginal effect GEE influenced by different governance approaches. In terms policy governance, excessive market-based environmental regulation (MER) diminishes AI, while stronger administrative-command regulations (CER) informal (IER) amplify it. Regarding technological substantive innovations (SUG) reduce AI's effect, whereas symbolic (SYG) may increase Notably, threshold SUG surpasses SYG. legal both administrative judicial intellectual property protections though protection (AIP) exhibits more significant than (JIP). These findings offer practical insights for optimizing strategies maximize promoting highlight need balanced sustainable development. Policymakers should tailor encourage regional collaboration harness spatial spillover effects. Enterprises can leverage AI-driven align growth with ecological goals, fostering coordinated

Язык: Английский

Процитировано

0

Advancing Sustainable Infrastructure Management: Insights from System Dynamics DOI Creative Commons
Julio Juarez-Quispe, Erick Rojas-Chura, Alain Jorge Espinoza Vigil

и другие.

Buildings, Год журнала: 2025, Номер 15(2), С. 210 - 210

Опубликована: Янв. 12, 2025

Rapid infrastructure growth in developing countries has intensified environmental challenges due to cost-prioritizing practices over sustainability. This study evaluates 21 identified sustainable-driving tools improve the management of throughout its life cycle, by interacting with 20 out 36 key system variables (ISMVs). Using a systems thinking approach, Sustainable Systems Dynamic Model (SSDM) is developed, comprising nucleus representing interconnected stages cycle: planning and design (S1), procurement (S2), construction (S3), operation maintenance (S4), renewal disposal (S5). The model incorporates total 12 balance (B) 25 reinforcement (R) loops, enabling visualization critical interdependencies that influence sustainability system. In addition, analysis shows between stages, demonstrating, for example, how implementation such as LCA, BIM, Circular Economy principles S1, or IoT SHM S4, significantly A gap theory practice adoption sustainable identified, which aggravated lack knowledge specific countries’ context. Hence, this contributes closure offering facilitates understanding interactions systems.

Язык: Английский

Процитировано

0

Spatial Scale Increment Identification and Dynamic Simulation of Network Resilience Disturbances in Landscape Infrastructure: A Comprehensive Approach for Optimizing Regional Planning DOI
Shihao Zhang, Jie Zhu, Liang Lv

и другие.

Sustainable Cities and Society, Год журнала: 2025, Номер unknown, С. 106180 - 106180

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0

Applications and Trends of Machine Learning in Building Energy Optimization: A Bibliometric Analysis DOI Creative Commons
Jingyi Liu, J.F. Chen

Buildings, Год журнала: 2025, Номер 15(7), С. 994 - 994

Опубликована: Март 21, 2025

With the rapid advancement of machine learning (ML) technologies, their innovative applications in enhancing building energy efficiency are increasingly prominent. Utilizing tools such as VOSviewer and Bibliometrix, this study systematically reviews body related literature, focusing on key emerging trends cutting-edge ML techniques, including deep learning, reinforcement unsupervised optimizing performance managing carbon emissions. First, paper delves into role prediction, intelligent management, sustainable design, with particular emphasis how smart systems leverage real-time data analysis prediction to optimize usage significantly reduce emissions dynamically. Second, summarizes technological evolution future sector identifies critical challenges faced by field. The findings provide a technology-driven perspective for advancing sustainability construction industry offer valuable insights research directions.

Язык: Английский

Процитировано

0

Sustainable concrete solutions for green infrastructure development: A review DOI Creative Commons

Abdur Rahman Siddiqui,

Rizwan Ahmad Khan,

Mohd. Nayeem Akhtar

и другие.

Journal of Sustainable Construction Materials and Technologies, Год журнала: 2025, Номер 10(1), С. 108 - 141

Опубликована: Март 28, 2025

This review paper explores the utilization of sustainable concrete materials in development green infrastructure. The primary objective is to investigate various solutions that enhance environmental performance while maintaining structural integrity. study inte- grates with infrastructure elements such as permeable concrete, roofs, vegetated systems, bioswales, and channels. These are essential for man- aging stormwater, reducing urban heat islands, promoting biodiversity areas. also examines optimized mixtures designed improve durability reduce carbon emissions by incorporating alternative like recycled aggregates supplementary cementitious materials. Additionally, innovative formwork construction practices analyzed assess their contribution minimizing resource consumption waste. By aligning design objectives, highlights potential these mitigate impacts, including reduced energy lower greenhouse gas emissions. findings offer valuable insights into role future planning, emphasizing its capacity support resilient, eco-friendly meeting growing demands urbanization. research ultimately contributes broader discourse on practices, of- fering practical guidelines engineers planners.

Язык: Английский

Процитировано

0

Urban planning and IPCC-like city assessments integration for climate-resilient cities DOI Creative Commons
Xinyue Ye, Tan Yiğitcanlar, Yangyang Xu

и другие.

Environment and Planning B Urban Analytics and City Science, Год журнала: 2025, Номер unknown

Опубликована: Март 28, 2025

The rapidly intensifying effects of climate change on urban settlements demand that cities move to the forefront resilience planning. Climate extremes, from heatwaves flooding, are increasingly testing adaptability limits systems and vulnerability their populations. Recognizing unique position cities, IPCC’s seventh assessment cycle has prioritized areas in its upcoming Special Report Change Cities. IPCC report underscores potential act as agents adaptation provides a framework for build climate-resilient systems. Cities positioned pioneer practical, integrative solutions blend sciences with planning, establishing frameworks align economic growth, health equity, environmental sustainability, social justice, effective governance. This opinion piece explores how by positioning themselves hubs innovation, policy reform, community collaboration, can transform vulnerabilities into opportunities especially becoming more-than-human setting examples global stage.

Язык: Английский

Процитировано

0

Strategic deployment of urban trees to achieve thermal resilience in a Canadian community DOI Creative Commons
Lili Ji, Abhishek Gaur, James A. Voogt

и другие.

Building Simulation, Год журнала: 2025, Номер unknown

Опубликована: Апрель 2, 2025

Язык: Английский

Процитировано

0