Climate variability, changing land use and management, and dynamic policy environments are the main reasons why long-term research is needed to understand and predict possible water quality outcomes to alternative future scenarios. Long-term water quality data sets are needed to address these water issues. Such data sets were acquired by the USDA-ARS in three watersheds in Oklahoma: the Souther...

a considerable part of precipitation falls in the form of snow in golestan watershed. in turn, snowmelt plays a significant role in surface runoff, groundwater feeding and flood propagation in this area. snow cover area (sca) as an indicator of stored water can be implemented for temporal and spatial monitoring of snowmelt in the hydrological models. to monitor spatial and temporal variation of...

Understanding how watersheds respond to ecological changes and LULC alteration affects watershed hydrology is crucial for water soil resource management. in the Ajora-Woybo watershed, Ethiopia, have momentously affected resources. The researchers aimed see affect hydrological components (HCs) sediment yield (SED) both historically future. Soil Water Assessment Tool (SWAT2012) Partial Least Squa...

Despite decades of research about episodic acidification in many regions of the world, the understanding of what controls the transient changes in stream water chemistry occurring during rain and snow melt events is still limited. Here, we use 20 years of hydrological and stream chemical data from the paired watershed study at Bear Brook Watershed in Maine (BBWM), USA to improve the understandi...

daily weather information is currently available for about 40000 stations across the world. but, distribution of these stations is relatively uneven in some parts of the world. moreover, there are often large amounts of missing values (schuol and abbaspour, 2007:301). using generated data can help to fill missing or even to correct erroneously measured data (fodor et al., 2010: 91). lars-wg is ...