Soil Erosion Modelling at Watershed Level in Indonesia: a Review

Susanti, Yuari; Syafrudin, S; Helmi, Muhammad

doi:10.1051/e3sconf/201912501008

Cited by 12 publications

(7 citation statements)

References 13 publications

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“…All these changes together resulted in forest degradation, soil erosion, and sedimentation of streams and low‐lying areas, which further aggravated drainage congestion in coastal areas in addition to elevating levels of pesticide residues in soils (Abera et al, 2020; Murugan, Swarnam, & Gnanasambandan, 2013). Similar changes in socioeconomic activities were also reported from Thailand (Willroth, Massmann, Wehrhahn, & Diez, 2012), Sri Lanka (Jayasekara et al, 2018), Indonesia (Susanti et al, 2019), and Malaysia (Khosrokhani & Pradhan, 2014).…”

Section: Resultssupporting

confidence: 76%

“…This constitutes the major driving force for developing several models categorized as empirical, conceptual, physically based, or process‐oriented to estimate soil erosion at different spatial and temporal scales (King & Delpont, 1993; Morgan, 2005). Nevertheless, the universal soil loss equation (USLE) and the revised universal soil loss equation (RUSLE) have been used throughout the world for a variety of purposes and under many different conditions simply because they meet various demands better than any other tool available and are easily parameterized (Senanayake et al, 2020; Susanti, Syafrudin, & Helmi, 2019).…”

Section: Introductionmentioning

confidence: 99%

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Post‐tsunami land degradation on a South Asian island: Implications for conservation priorities

2021

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In recent decades, land degradation has accelerated due to an increase in unsustainable human activities. In a case‐study of the Andaman Islands, located in the South Asian region, changes in land degradation types, soil erosion, and the effect of conservation measures for pre‐ (2000) and post‐2004 tsunami periods (2006, 2019) were recorded using temporal remote sensing data (LANDSAT, RESOURCESAT, CARTOSAT), field observations and a GIS‐based revised universal soil loss equation (RUSLE). The results showed that erosion, leaching, acidification, salinization, and drainage congestion were the major land degradation processes that could be traced to post‐tsunami human activities (R2 = 0.634). The study revealed significant forest cover loss during 2006–2019 (3.76%) compared to 2000–2006 (0.61%), while it revealed increased areas under settlement (14 km2) and mining (22 km2). The annual crop area exhibited a 0.42% loss, whereas the plantation crop area increased by 0.46%, indicating the abandonment of annual crops that resulted in an increased fallow area (21 km2) during the post‐tsunami period. As a consequence, degraded land increased by 2.5% of the total geographical area which was affaected by water erosion (2.3%) and chemical degradation (0.25%). The average erosion rate varied from 0.7 to 108 t ha−1yr−1 in 2000 but increased by 47% during the post‐tsunami period due to mining, settlement, and vegetable cultivation on slopes, as indicated by high cover management, support practice, and slope length factors. Practicing suitable conservation measures can provide a conservation benefit of 105,560 t yr−1 and a reduction in other forms of degradation without compromising the food production area.

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Section: Resultssupporting

confidence: 76%

Section: Introductionmentioning

confidence: 99%

Post‐tsunami land degradation on a South Asian island: Implications for conservation priorities

2021

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“…The model is a representation of state, object, and event of the oil spill. The representation must be realized in a simple form, by eliminating or minimizing complex variables that are not directly related to the model (Susanti et al, 2019).…”

Section: Oil Spill Trajectory Using Hydrodinamic Numerical Modelmentioning

confidence: 99%

Integration of Sentinel-1a Sar, Hydro Dynamic and Trajectory Model of Oil Spill at Balongan Coastal Water Java Sea, Indonesia

HELMI¹,

HARTOKO²,

HUSNA³

et al. 2022

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Oil spill is a crucial issue for marine ecosystems, it is necessary to develop such a comprehensive and accurate oil spill detection and mitigation plan for counter measure. Balongan coastal water, Java Sea is an oil loading, unloading and refinery station. The study aims to determine the wide extent area, volume and monsoonal trajectory and volume of the oil spill in Balongan coastal water. The new paradigm of this study is the integration of 58 sets of Sentinel-1A SAR data analysis had resulted to 11 data sets confirmed with oil spill events. Then used as spatial reference, date, tide data and classification of oil spill to develop numeric trajectory modell using hydrodynamic GNOME software. The numerical trajectory modell for oil spill was running up from day-0 to 10 days or 240 hours period. Sea surface current during transition-1 April to May 2019 range 0.038-0.045 m.s -1 , wind speed range 2.53-3.28 m.s -1 . Sea surface current during the east monsoon of September 2019 0.191 m.s -1 , wind speed 4.33 m.s -1 . Sea surface current during transition-2 October to November 2019 range 0.139-0.214 m.s -1 , wind speed range 3.16-4.33 m.s -1 . Sea surface current during the west monsoon of December 2019 to February 2020 in the range of 0.251-0.369 m.s -1 , wind speed range 2.59-4.42 m.s -1 . Sea surface current and wind direction in Balongan coastal water Java Sea is predominantly to the northwest direction during the transition-

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“…Several watersheds (DAS) in Indonesia experience critical conditions due to damage that occurs from year to year. Watersheds in Indonesia, which have critical conditions and need to be revitalized, continue to increase in number to reach 108 watersheds [1][2][3]. Watershed damage in Indonesia is caused by changes in land use.…”

Section: Introductionmentioning

confidence: 99%

Water Recharge Variability Across Serayu Watershed Using Soil Water Assessment Tool (SWAT)

Hardanto

Mustofa

Ardiansyah

2023

Proceeding ICMA-SURE

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Climate change and land use have an influence on the process of groundwater replenishment. Serayu watershed is categorized as one of the critical watersheds in Indonesia due to groundwater conditions. One that affects groundwater is the ability to replenish groundwater. The purpose of the study was to predict groundwater replenishment in the Serayu watershed. The hydrological model approach (SWAT/Soil Water Assessment Tool) was applied. Spatial data is used in SWAT model analysis, namely: Elevation data, stream, soil types, land use land cover, and climate data. Data analysis using QGIS 3.18 and QSWATPlus tools. The model calibration uses cn2 values while NSE and R2 values are used to evaluate the model. Based on cn2 values, SWAT models show performance that can be used for model implementation. Model validation between before and after the calibration process is (R2) 0.86 while the NSE value is 0.66. When viewed from the water equilibrium ratio, the average water recharge value in the Serayu watershed is 49.5 mm.yr-1 from the total precipitation of 2473.6 mm.yr-1. The largest hydrological component occurs in evapotranspiration and surface runoff (1879.9 and 549.2 mm.yr-1, respectively). The high value of surface runoff indicates that the Serayu watershed needs attention regarding the ability of the land in the water recharge process

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Soil Erosion Modelling at Watershed Level in Indonesia: a Review

Cited by 12 publications

References 13 publications

Post‐tsunami land degradation on a South Asian island: Implications for conservation priorities

Post‐tsunami land degradation on a South Asian island: Implications for conservation priorities

Integration of Sentinel-1a Sar, Hydro Dynamic and Trajectory Model of Oil Spill at Balongan Coastal Water Java Sea, Indonesia

Water Recharge Variability Across Serayu Watershed Using Soil Water Assessment Tool (SWAT)

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