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Journal : Salaga Journal

Effects of Land Cover Change on River Discharge Conditions in the Mamasa Watershed Using the SWAT Model Asrianto; Samsuar; Daniel Useng; Nazif Ichwan; Febriana Intan Permata Hati
Salaga Journal Volume 01, No. 2, December 2023
Publisher : Program Studi Teknik Pertanian Universitas Hasanuddin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70124/salaga.v1i2.1356

Abstract

Land cover changes occurring in a watershed will affect the ecosystem in that area. The Soil and Water Assessment Tool (SWAT) model is a tool that can be used to predict the impacts of land use on water, sedimentation, and chemical levels in a watershed. The Mamasa watershed is one of the sub-watersheds of the Saddang watershed, covering approximately 105,253 ha. This study aims to determine the land cover changes in the Mamasa watershed and their impacts on water discharge using the SWAT model. Several steps were undertaken, including image interpretation to obtain an overview of land cover in the years 2011, 2016, and 2020, which were then used to form Hydrology Response Units (HRU). Next, the SWAT model was run, involving delineating the watershed boundaries, defining HRU, integrating climate and HRU data, running SWAT simulations, and performing validation. The results of land cover classification from 2011 to 2016 showed an increase in secondary forest land by 4,896.68 ha (4.65%) and a decrease in shrubland by 9,500.60 ha (9.03%). The land cover classification from 2016 to 2020 indicated a decrease in secondary dry forest land by 6,349.43 ha (6.03%), with an increase in paddy field area by 3,141.92 ha (3%). These land cover changes led to a decreasing trend in water availability, as evidenced by increased discharge fluctuations from 16.50 to 21.65, in accordance with the SWAT simulation results, which increased from 6.73 in 2011 to 9.93 in 2020. The validation results of the SWAT model for the year 2011 showed a Nash-Sutcliffe Efficiency (NSE) value of 0.58 and and R2 value of 0.61. The validation for the year 2016 resulted in an NSE of 0.6 and an R2 of 0.68, while the validation for the year 2020 produced an NSE of 0.6 and an R2 of 0.65. All three validations fall under the satisfactory category, indicating that the SWAT model can be used to simulate the discharge of the Mamasa watershed.
Determination of Rice Field Potential Index Based on Geographic Information System in Gowa Regency Rahmatya, Desi; Achmad, Mahmud; Samsuar
Salaga Journal Volume 02, No. 2, December 2024
Publisher : Program Studi Teknik Pertanian Universitas Hasanuddin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70124/salaga.v2i2.1778

Abstract

The Index of Land Potential (IPL) is a land evaluation method that aims to identify and utilize land according to its potential. Through IPL, it is expected to achieve optimal productivity and land sustainability. This research aims to determine the Paddy Field Potential Index with the IPL weighting method using Geographic Information Systems (GIS) in Gowa Regency. In this research, the method used is a tiered quantitative approach, where each parameter is given an appropriate weight. Overlapping techniques were applied to various maps used to assess land potential, including aspects of slope, soil type, lithology, hydrology, and disaster risk. The results of this study include a land potential index map and a map of paddy field potential in Gowa Regency. In the LMI, the dominating classes are low and very low, covering an area of 156,885.34 ha (72%), while the use of paddy fields in the very high and high potential classes covers an area of 20,604.48 ha (39%). The relationship between productivity and IPL is explained through the equation IPL = 0.1025P + 4.9539 with a value of R2 = 0.7809, which indicates that an increase in IPL can be a guide to increasing the productivity of rice plants..