Dear Colleagues,

Accurate analysis and modeling of environmental problems is a challenging task due to the large number of variables related to environmental outcomes. In addition, the randomness inherent of these variables produces intricate nonlinear data patterns, which cannot be properly addressed by conventional methods. Therefore, there is an urgent need to assess, solve, improve, and optimize practical environmental and engineering problems through data analysis methods and artificial intelligence methods, in order for decision-makers to accurately assess vulnerable areas and formulate future management/adaptation strategies. Profound contemporary advances in environmental sciences have taken place around us, supported by remarkable enhancements in machine learning techniques. These approaches have been employed predominantly as a promising tool to resolve environmental problems to extract and predict patterns from complex data.

This Special Issue covers a wide variety of subjects for applications of machine learning techniques in environmental problems, and aims to be a forum for researchers to publish their recent studies into this crucial area by focusing on: (i) proposing more accurate and reliable modeling methodologies; (ii) improving the accuracy of conventional methods and/or environmental impact assessments; and (iii) establishing a knowledge-based decision support tool through integrated machine leaning-based answers to both quantitative and qualitative environmental issues. Relevant topics include, but are not limited to, the following areas:

• Water resource management;
• Environmental and biological conservation;
• Remote sensing and geographic information systems;
• Pollution prevention and remediation;
• Energy and climate change;
• Agroforestry;
• Solar system;
• Aquatic/marine biology;
• Soil ecology;
• Earth systems.

Prof. Dr. Hossein Bonakdari
Prof. Dr. Taha Ouarda
Guest Editors

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• water
• soil
• atmosphere
• ocean
• land surface
• space
• solar system
• soft computing
• modeling
• development