Development of a SWAT Model to Investigate the Impact of Hydroclimate and Land Uses on Water Quantity and Quality in the 'Mathavanga' River, Bangladesh

Abstract

To determine the nitrogen load and surface-overflow runoff of the chosen watershed region, a project on the ‘Mathavanga’ River was investigated. We utilized ArcGIS and ArcSWAT modeling software to obtain information on the nitrogen load and current and projected surface-overflow load for the project's chosen watershed region. ArcGIS-ArcSWAT was used to process the spatial and temporal data. MS Excel was used to compare actual data with simulated data from software and display graphs. By altering the curve number, manual calibration was carried out. Data from the 2021 observed surface flood and the 2051 predicted surface overflow were compared in a comparison graphic. For the year 2021, we implemented a vegetative strip as a natural way to lower nitrogen burden. In August, the busiest month for farming, we were able to lower nitrogen load by roughly 15% thanks to the vegetative filter strip. The projection of future surface overflow data also indicated that, after 30 years, there will be a considerable reduction in surface overflow load.