For a sustainable environment and ecosystem conservation, precise monitoring and modeling of environmental variables are necessary. Urbanization, shortage of water, and industrialization adversely affects the natural balance of environmental variables. Therefore, these alterations in environmental variables not only affects climate change but also seriously affects the health of human, animal and aquatic life. With the objective of a sustainable environment and ecosystem, environmental and water resources experts can avoid the negative impacts of changes in environmental and water resources variables. However, accurately assessment of these changes is a challenging task due to many external climatic, geological, and human factors. Therefore, to precisely monitor and model the changes in environmental variables, robust and advanced computing methods are required. The main objective of this special issue is to find better smart solutions for the sustainable management of water and environmental resources using advanced computing methods. This issue welcomes contributions to innovative approaches in the field of a sustainable environment.
• Advanced machine learning applications
• Application of deep learning approaches
• Modeling environmental variables
• Monitoring environmental parameters
• Environmental assessment
• Modeling hydrological variables
• Air quality modeling
• Water quality modeling
• Groundwater level modeling
• Applications of GIS-based and satellite-based data
• Temporal and spatial environmental modeling