Water quality improvement is one of the top priorities in the global agenda endorsed by
United Nation. In this review manuscript, a holistic view of water quality degradation such as …

Watershed models have been widely used for creating the scientific basis for management
decisions regarding nonpoint source pollution. In this study, we evaluated the current state …

Prediction of flow rate in rivers is essential for the planning and management of water
resources. This study shows that, based on a Machine Learning approach, accurate models …

Decision-support tools (DSTs) are often produced from collaborations between technical
experts and stakeholders to address environmental problems and inform decision making …

Riparian buffers are a proven practice for removing NO3 from overland flow and shallow
groundwater. However, in landscapes with artificial subsurface (tile) drainage, most of the …

Abstract Effects of agricultural land management practices on surface runoff are evident at
local scales, but evidence for watershed‐scale impacts is limited. In this study, we used the …

Applications of the Soil and Water Assessment Tool (SWAT) model typically involve
delineation of a watershed into subwatersheds/subbasins that are then further subdivided …

Nonpoint source (NPS) pollutants such as phosphorus, nitrogen, sediment, and pesticides
are the foremost sources of water contamination in many of the water bodies in the …

Nitrogen losses from artificially drained watersheds degrade water quality at local and
regional scales. In this study, we used an end-member mixing analysis (EMMA) together …

Forecasting nitrate concentration in rivers is essential for environmental protection and
careful treatment of drinking water. This study shows that nonlinear autoregressive with …