Discharge Analysis Using SWAT Model At Cipasauran Watershed, Banten

Rau, Maulana Ibrahim; Pandjaitan, Nora H.; Sapei, Asep

doi:10.19028/jtep.03.2.113-120

Cited by 3 publications

(3 citation statements)

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“…SWAT database processing involves tabulating rainfall data and other climate data. Climate data entry carried out to obtain output in the form of daily discharge from simulation results (Rau et al, 2015).…”

Section: Climate Data Inputmentioning

confidence: 99%

Erosion Prediction and Soil and Water Conservation Scenario Using The SWAT Model

Candra Dewi,

Sulastri,

Arya Arthawan

et al. 2024

JTEP-L

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Increasing population and development has resulted in inappropriate land use within watersheds that increase soil erosion. One of the hydrologic models that can be used to predict erosion and soil and water conservation in a watershed is SWAT. This research was conducted to predict erosion and the guidance of soil and water conservation in the Yeh Empas Watershed. This research was carried out in several stages, including data collection, data analysis and map validation using the ROC (receiver operating characteristic) and AUC (area under curve) methods. Results revealed that Yeh Empas Watershed had a very light EHL (erosion hazard level) category was found in the downstream area with an annual erosion value of 0 – 14.68 t/ha. In the middle area, the EHL was categorized as light with an erosion value of 15.44 – 57.22 t.ha-1.y-1. The upstream area has moderate EHL with a value of 65.20 – 178.64 t.ha-1.y-1. The validation of the EHL map using the ROC method showed a result of 0.83. This value was classified as very good. It can be concluded that SWAT predictions can be used in estimating erosion and soil and water conservation scenario to reduce 85% erosion. Keywords: Erosion prediction, Soil and water conservation scenario, SWAT models, Yeh Empas Watershed.

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Section: Climate Data Inputmentioning

confidence: 99%

Erosion Prediction and Soil and Water Conservation Scenario Using The SWAT Model

Candra Dewi,

Sulastri,

Arya Arthawan

et al. 2024

JTEP-L

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“…Running a SWAT model simulation is carried out if the data that has been entered is judged to be appropriate to minimize the occurrence of simulation failures to see the results of the model that has been created. The equation used in the SWAT simulation to predict runoff discharge is the SCS Curve Number method (Rau et al, 2015).…”

Section: Simulation Modelmentioning

confidence: 99%

Design of Water Source Alternative Based on SWAT Model Simulation

Pandjaitan¹,

Afifi²,

Sapei³

2022

JTEP-L

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Water shortage problem was often happened in many places in Indonesia. Water availability is very important not only for domestic needs, but also for other activities particularly for agricultural activities. To solve water shortage problem, this study aimed to design a water source alternative. The rain is a free water source and collecting rain in the small dam or reservoir is one of the effective rainwater harvesting technique that can increase water availability. This research was conducted at Sekaran Village and the analysis had done using SWAT (Soil and Water Assessment Tools) model. The planned rainfall and discharge were analysed by 5 years return period to calculate the water potential for reservoir charging. The results of this study indicated that the location of the reservoir was planned in a forest area with a slope of 8-25%, on coordinates 111º38'11.39"E and 7º6'14.22"S and has a storage volume of 13737 m3. The reservoir has 4356 m2 surface area with a depth of 3 m. Based on the SWAT model simulation, the highest average discharge potential occured in February with a discharge of 0.312 m3/s and the lowest average discharge occured in October with a discharge of 0.044 m3/s. The total volume of potential annual water that can fill the reservoir is 61.166 m3/s per year based on a planned rainfall of 115.38 mm and a planned flood discharge of 2.54 m3/s with a return period of 5 years. The reservoir construction required a cost of IDR 1,200,747,000. Keywords: Cost, Location, Rainwater Harvesting, Reservoir, SWAT

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“…As a biophysical covering seen on the earth's surface, land cover is the outcome of human arrangements, actions, and treatment applied to specific land cover types to carry out production, change, or maintenance tasks in the land cover area. Changes in land cover in a watershed will have a direct effect on the hydrological conditions of the watershed and have a significant influence on raw water needs, and various other water needs in an area so that the best possible planning is required for its management [4]. One sub-watershed that has experienced land conversion is the Mamasa sub-watershed, part of the Saddang watershed.…”

Section: Introductionmentioning

confidence: 99%

Analysis of The Quality of The Mamasa Sub-Watershed Using The Land Cover Approach and Land Cover Projections in 2031

Soma,

Chaeruddin,

Wahyuni

2023

IOP Conf. Ser.: Earth Environ. Sci.

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The biophysical cover that can be seen on the earth’s surface due to regulation, activity, and human intervention is called land cover. In general, changes in land cover can be observed using spatial data from land cover maps from several points in different years. Changes in land cover in a watershed will directly affect the quality of the watershed. This study aims to analyze land cover changes in 2011 – 2016 and 2016 – 2021, analyze land cover change projections in 2031, and analyze watershed quality using the Percentage of Vegetation Cover approach. The overlay analysis approach was used to conduct an examination of land cover change. Land cover change projections were carried out using the Multi-Layer Perceptron method and Cellular Automata (CA) Markov chain modeling in Idrisi TerraSet Software and watershed quality analysis by calculating the PPV entering the plants permanently. The results of this study note that changes in land cover in 2011 – 2016 experienced a change of 763,53 hectares, and in 2016 – 2021, the most significant change was 802,69 hectares. The biggest change in land cover occurred in the closure of dry land agriculture. The results of the projected land cover in 2031 have changed by 4.472,44 hectares, with the most significant change occurring in dry-land agriculture. Calculating the percentage value of vegetation cover shows that the quality of the Mamasa sub-watershed has decreased from very good to sound due to a decrease in permanent vegetation.

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Discharge Analysis Using SWAT Model At Cipasauran Watershed, Banten

Cited by 3 publications

References 0 publications

Erosion Prediction and Soil and Water Conservation Scenario Using The SWAT Model

Erosion Prediction and Soil and Water Conservation Scenario Using The SWAT Model

Design of Water Source Alternative Based on SWAT Model Simulation

Analysis of The Quality of The Mamasa Sub-Watershed Using The Land Cover Approach and Land Cover Projections in 2031

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