Hydrological characteristics using the SWAT model on several agricultural systems in the Maros karst area

Abstract

Abstract In the region of karst, there are valley areas that are used by the community as agricultural land. However, drought phenomena often occur in this area, so it is necessary to know the presence of water to support agricultural processes. The aim of the research is to predict flow rates in several agricultural systems using Soil and Water Assessment Tools (SWAT). SWAT was chosen because it can simulate the model with easy-to-obtain data. Required data such as Digital Elevation Model (DEM), soil type, and land cover to form a Hydrology Unit Response (HRU). Enhanced with climate data input to run SWAT Run. The scenario is done with Land Use Split in the HRU Definition menu. The results showed that forest vegetation defined as FRSE and FRST stored water better than AGRR and RICE agricultural lands. However, it is different for underground flow, that RICE can store better. The scenario results show a decrease in the value of surface runoff by 15.3% and an increase in lateral flow by 26% from the existing condition. The underground flow continued to increase but was not significant at 4.2%.

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