
Abstract Salinity is a complex process in watersheds, and there is a need for data and modeling salinity in arid and semi-arid watersheds. Development and application of a salinity model to accurately predict the salinity processes are difficult tasks at the watershed scale. Available salinity models are limited in sufficiently modeling natural salinity processes in watersheds. In this study, a salinity module is proposed for the Soil and Water Assessment Tool (SWAT) utilizing new salinity equations to model natural salinity processes in watershed systems. Data related to the distribution maps of saline formations is used in the modeling process. An advantage of this module is that it can use low-quality maps for salinity modeling of different salts. The proposed methodology can be used to assess the impacts of management practices, climate change, and land-use changes on non-point source pollution at a watershed scale.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 17 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
