Presented at the FIG Working Week 2017, May 29 - June 2, 2017 in Helsinki, Finland. Denny LUMBAN RAJA Adang SAPUTRA Johannes ANHORN

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Presented at the FIG Working Week 2017, May 29 - June 2, 2017 in Helsinki, Finland Denny LUMBAN RAJA Adang SAPUTRA Johannes ANHORN

MAIN RESULTS Most of the surroundings of Cipongkor is dominated by very high soil erosion potential GIS is capable to give a visual impression of the main factors contributing to soil erosion Increasing soil erosion and haphazard human interventions at the study area leading to destabilized slopes do aggravate the potential for damaging large scale landslide events

BACKGROUND West Java Province in Indonesia is the region with the most frequent landslide occurrence, especially during the rainy season Cipongkor region is a mountainous landscape area. Medium to steep slopes are controlled by geological structures reflected by active faults, such as the Cimandiri and Lembang fault line. Fertile soils and thick weathering of rocks attracts people to live in the study area. The geological conditions, existing landuse (85% of agriculture and plantation), high rainfall, large soil thickness, and steep slopes support the occurrence of erosion and stimulate landslide occurrence.

Coordinate Area : 6 o 53 00 7 o 00 00 LS dan 107 o 18 00 107 o 26 00 BT

Methodology Erosion Potential USLE Method (A = R x K x LS x C x P) Processing Data GIS Method to determine the landslide potential zone Data DATA SCALE YEAR SOURCE SRTM Res. 30 x 30 2012 USGS Geologic 1 : 100.000 2005 Geological Agency al Map + Attribute Landsat 1 : 100.000 2009 USGS Landuse 1 : 50.000 2014 Geospatial Information Agency of Indonesia Annual Rainfall 1 : 50.000 2012 Meteorology, Climatology, and Geophysics Base Map 1 : 50.000 2014 Geospatial Information Agency of Indonesia

FLOW CHART OF METHODOLOGY Preparation Supporting Data Rainfall data Geology Map SRTM Satellite Imagery Rainfall Map Soil Texture Slope length Steepness Land use R K LS C P USLE Classification Field Survey Verification Base Map Soil Erosion Map

USLE methode was used to assess erosion risk USLE Formula: A = R x K x LS x C x P where: A : represents the potential long term average annual soil loss in tons per hectare (ton/ha/yr); R : rainfall runoff erosivity factor (mm/yr ); K : soil erodibility factor (ton/ha); LS : slope length steepness factor (dimensionless); C : crop management factor (dimensionless); P : is the land management practice factor (dimensionless).

USLE methode was used to assess erosion risk Rainfall Index EI 30 is defined as the product of kinetic energy of rainfall and the maximum contiguous 30 minutes rainfall intensity during the rainfall event EI 30 year = 0,41 x R 1,09 (Wiersum and Ambar 1979; in Ambar; 1986)

Soil erodibility index (K) No Soil Texture K 1. Clay 0,02 2. Loam clay 0,04 3. Loam sand 0,30 4. Sillty 0,20 5. Sandy 0,70 Crop- and vegetation cover index (CP) (Ministry of Forestry, 1985) No Class name CP 1. Settlement 0,60 2. Mixed Garden 0,30 3. Paddy Field 0,05 4. Dry fields 0,75 5. Garden 0,40 6. Forest 0,03

Slope gradient and Slope Length Index (LS) (Ministry of Forestry 1986) No Slope (%) LS 1. 0 5 0,25 2. 5 15 1,20 3. 15-35 4,25 4. 35-50 7,50 5. > 50 12,0 LS = Pow( FlowAcc x resolution sin slope gradient x 0.001745 ) x Pow ( 22.1 x 0.6 0.09 x 1.3 )

STUDY RESULT Classification of erosion risk level (Ministry of Forestry 1998) No Soil loss Class of (ton/ha/th) Erosion Erosion Level 1. < 20 I Very low 2. 20 50 II Low 3. 50 250 III Moderate 4. 250 1000 IV High 5. > 1000 V Very high

STUDY RESULT

Points of Field Survey No. Lat Long Location Geology Slope Ero-1-6.99 107.320 Cilabodas Village Breksi/Andesit 54º Ero-2-7.00 107.369 CicangkapGirang Tuffa, Sand 65º Ero-3-7.00 107.416 Tugu Batas Sand 40º Ero-4-6.95 107.342 M. Masigit Andesit 45º Ero-5-6.96 107.342 BojongHaur Tuffa 36º Ero-6-6.97 107.340 Sodong Village Tuffa 43º Ero-7-6.92 107.349 Saguling Waterbody Tuffa, Sand 60º Ero-8-6.89 107.358 Saguling Waterbody Tuffa, Sand 60º Ero-9-6.89 107.334 Saguling Waterbody Tuffa, Sand 60º

Erosion in the roadside Village Saguling, Kec. Cipongkor Massive landslides in the roadside Cipongkor-Saguling

Conclusions Spatial modeling with GIS is capable to give a visual impression of the main factors contributing to soil erosion Most of the surroundings of Cipongkor is dominated by very high soil erosion potential. Human activity is one of the main factors affecting erosion potential in the study area. Increasing soil erosion and haphazard human interventions leading to destabilized slopes do aggravate the potential for damaging large scale landslide events.