The ever-growing world population is over-stressing the available resources leading to several social, economic, and environmental issues. The world is facing challenges related to the availability of food, housing, water, and infrastructure. The solutions to sustainability crises require unraveling complex interactions that do not fit neatly into a single discipline. Keeping in view the sustainable development goals which are considered a blueprint for a better and more sustainable future, interdisciplinary research in civil and environmental engineering is of utmost important. The interdisciplinary research tackles the demands of the growing population of urban agglomerates. Designing interdisciplinary solutions for achieving sustainable development goals including Sustainable Cities and Communities; Affordable and Clean Energy; Clean Water and Sanitation; Responsible Consumption and Production; Industry, Innovation, and Infrastructure; Climate Action is the need of the hour.
The interdisciplinary research in environmental sustainability can convert real-world complexities such as space dynamics and pressure on cities, sustainable infrastructure, smart transport, smart buildings, climate changes, air pollutant dispersion and pollution, contaminant transport through air water, and soil, ocean dynamics, life below water, and effect of contamination on flora and fauna and more, into predictable models using Artificial Intelligence (AI). The primary objective of this research topic is to consolidate research and application of Artificial Intelligence in environmental engineering, aiming toward smart and sustainable cities. Highlighting AI-based solutions and models across environmental engineering and sustainability, in particular for smart and sustainable cities, is the prime objective of the proposed research topic. The issue will welcome multidisciplinary/ interdisciplinary approaches to provide solutions to current pressing problems of cities from an engineering perspective.
This research topic will provide a platform for strategists and researchers to work together to suggest solutions for current environment-related pressing issues. The research topic will be a compilation of the latest innovations and deliverable solutions for realizing the SDGs for a sustainable future, in particular interdisciplinary engineering research related to SDGs 3,6,7,9,11,12,13, 14,15. The research topic will focus on (but not be limited to) interdisciplinary review papers and original research articles relating to AI technologies in environmental engineering, which would include:
1. Water pollution and wastewater treatment
2. Air pollutant dispersion and air pollution
3. Smart solid waste management
4. Bio-medical and hazardous waste management
5. Smart Buildings
6. Smart Infrastructure
7. Smart Transportation
8. Contaminant transport through soil
9. Soil remediation
The ever-growing world population is over-stressing the available resources leading to several social, economic, and environmental issues. The world is facing challenges related to the availability of food, housing, water, and infrastructure. The solutions to sustainability crises require unraveling complex interactions that do not fit neatly into a single discipline. Keeping in view the sustainable development goals which are considered a blueprint for a better and more sustainable future, interdisciplinary research in civil and environmental engineering is of utmost important. The interdisciplinary research tackles the demands of the growing population of urban agglomerates. Designing interdisciplinary solutions for achieving sustainable development goals including Sustainable Cities and Communities; Affordable and Clean Energy; Clean Water and Sanitation; Responsible Consumption and Production; Industry, Innovation, and Infrastructure; Climate Action is the need of the hour.
The interdisciplinary research in environmental sustainability can convert real-world complexities such as space dynamics and pressure on cities, sustainable infrastructure, smart transport, smart buildings, climate changes, air pollutant dispersion and pollution, contaminant transport through air water, and soil, ocean dynamics, life below water, and effect of contamination on flora and fauna and more, into predictable models using Artificial Intelligence (AI). The primary objective of this research topic is to consolidate research and application of Artificial Intelligence in environmental engineering, aiming toward smart and sustainable cities. Highlighting AI-based solutions and models across environmental engineering and sustainability, in particular for smart and sustainable cities, is the prime objective of the proposed research topic. The issue will welcome multidisciplinary/ interdisciplinary approaches to provide solutions to current pressing problems of cities from an engineering perspective.
This research topic will provide a platform for strategists and researchers to work together to suggest solutions for current environment-related pressing issues. The research topic will be a compilation of the latest innovations and deliverable solutions for realizing the SDGs for a sustainable future, in particular interdisciplinary engineering research related to SDGs 3,6,7,9,11,12,13, 14,15. The research topic will focus on (but not be limited to) interdisciplinary review papers and original research articles relating to AI technologies in environmental engineering, which would include:
1. Water pollution and wastewater treatment
2. Air pollutant dispersion and air pollution
3. Smart solid waste management
4. Bio-medical and hazardous waste management
5. Smart Buildings
6. Smart Infrastructure
7. Smart Transportation
8. Contaminant transport through soil
9. Soil remediation