Browse Journals

The Journal of Hazardous, Toxic, and Radioactive Waste publishes peer-reviewed original articles on all aspects of research, planning, development and management of hazardous, toxic, and radioactive waste (HTRW). These include the traditional areas of research, design, control, restoration/remediation, construction, planning, detection/analysis, oversight, operations, regulations and policy. The Journal offers articles with both fundamental research and practical approaches/solutions to the problems and challenges faced by engineers, scientists, process managers, practicing professionals, researchers, contractors, and government policymakers.

The Journal of Hydraulic Engineering accepts original contributions that describe the analysis and solutions of problems in hydraulic engineering. Technical Notes may present a problem, without solution, of common interest. Topics range from flows in closed conduits to free-surface flows (canals, rivers, lakes, and estuaries) to environmental fluid dynamics. Topics include transport processes involving fluids (multiphase flows) such as sediment and contaminant transport, and heat and gas transfers. Emphasis is placed on the presentation of concepts, methods, techniques, and results that advance knowledge and/or are suitable for general application in the hydraulic engineering profession.

The Journal of Hydrologic Engineering disseminates interdisciplinary information in the field of hydrologic science and engineering. The journal publishes original research and practical applications related to water in natural and built environments. It covers fundamental and applied hydrology and emerging areas (e.g., surface water, vadose zone, groundwater, water quality, snow/ice and glacier, urban/agricultural/forest, and coastal hydrology; hydroinformatics, ecohydrology, hydroclimatology, and socio-hydrology). The journal encourages submissions utilizing analytical, numerical, probabilistic/stochastic, experimental, remote sensing, artificial intelligence (e.g., machine learning), and other data-driven approaches that advance hydrologic science and engineering practices and promote sustainable and resilient engineering solutions to real-world water and environmental problems.