For decades, water shortage, flooding, and water deterioration problems have led to a variety of adverse impacts on socioeconomic development and human life. Challenges of water quality and quantity management adhering to the principle of sustainable development have been of significant concerns to many researchers and decision makers. These issues are highly complicated, involving a large number of social, economic, environmental, technical, and political factors, coupled with complex spatial variability and cascading effect. Climate change and human interference could affect the related management systems at a regional scale and lead to more significant spatial and temporal variations of water quantity and availability and the associated environmental and ecological conditions. Such complexities force researchers to develop more robust mathematical methods and tools to analyze the relevant information, simulate the related processes, implement mitigation strategies, assess the potential impacts/risks, and generate sound decision alternatives.

This special issue aims at gathering research works focusing on the development of mathematical methods for sustainable water quality/quantity management and risk assessment. We invite authors to submit original research and review articles that seek effective mathematical models in dealing with problems in fields of hydrologic prediction, water resources allocation, pollution mitigation, flood/drought control, and climate change impact assessment and adaptation planning. Papers submitted to this special issue will contribute to the development of innovative simulation, optimization, and risk-assessment models and novel applications of mathematical methodologies to real-world case studies. The relevant state-of-the-art methodologies will enhance the capability of decision makers in exploring comprehensive and ambitious plans for managing water systems, with an aim of achieving better sustainability. Potential topics include, but are not limited to:

• Simulation and optimization for water use and management
• Point and nonpoint source pollution modeling
• Optimization and control of pollution mitigation processes
• Hydrologic and hydraulic modeling
• Mathematical models for water resources allocation
• Modeling for flood/drought forecasting, control, and management
• Modeling of climate change impact assessment and adaptation planning
• Groundwater modeling, risk assessment, and decision making
• Mathematical tools for uncertainty analysis in water systems

Before submission authors should carefully read over the journal’s Author Guidelines, which are located at http://www.hindawi.com/journals/jam/guidelines/. Prospective authors should submit an electronic copy of their complete manuscript through the journal Manuscript Tracking System at http://mts.hindawi.com/submit/journals/jam/water/ according to the following timetable: