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Geospatial Assessment of Coseismic Landslides in Baturagung Area Saputra, Aditya; Sartohadi, Junun; Hadmoko, Danang Sri; Gomez, Christopher
Forum Geografi Vol 29, No 2 (2015): Forum Geografi
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar

Java, the most densely populated island in Indonesia, is located on top of the most seismically active areas in Southeast Asia: the Sunda Megathrust. This area is frequently hit by strong earthquake. More than 3,300 M>5earthquakesoccurred between 1973-2014. The wide range of mountainous areas and high intensity of rainfall, make several part of the island one of the most exposed regions for coseismic landslides such as Baturagung area, the Southeast mountainous area of Yogyakarta Province. An integrated method between RS and GIS was used to conduct the vulnerability assessment due to the lack of the site specific slope instability analysis and coseismic landslides data. The seismic zonation of Baturagung area was obtained based on the analysis of Kanai attenuation. The geologic information was extracted using remote sensing interpretation based on the 1:100,000 geologic map of Yogyakarta and geomorphologic map of Baturagung area as well. The coseismic landslide hazard assessment has been estimated using scoring analysis in the GIS platform proposed by Mora and Vahrson (1993) with several modification. The accomplished coseismic landslide hazard map shows medium hazard coverage in the eastern areas, in the upper slope of Baturagung area, which consists of Semilir Formation. The result provides a distinct description of coseismic landslides hazard distribution in Batuaragung area. However, it should only be the preliminary assessment of the site specific investigation especially on valuable area or asset.Â

Lahars in Java: Initiations, Dynamics, Hazard Assessment And Deposition Processes Lavigne, Franck; Thouret, Jean-Claude; Hadmoko, Danang Sri; Sukatja, Bambang
Forum Geografi Vol 21, No 1 (2007): July 2007
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar

Lahar has been applied as a general term for rapidly flowing, high-concentration, poorly sorted sediment-laden mixtures of rock debris and water (other than normal streamflow) from a volcano. Lahars are one of the most destructive phenomena associated with composite volcanoes, which are dominant in Java Island. Resulting deposits of lahar are poorly sorted, massive, made up of clasts (chiefly of volcanic composition), that generally include a mud-poor matrix. The aim of this research is threefold: to discuss the initiation of lahars occurrences, their dynamics, to assess the hazard and to analyse the deposition. Lahars are either a direct result of eruptive activity or not temporally related to eruptions. Syn-eruptive lahars may result from the transformation on pyroclastic flows or debris avalanches which transform to aqueous flows (e.g. at Papandayan in November 2002); They may be also generated through lake outburst or breaching (e.g. at Kelut in 1909 or 1966), and through removal of pyroclastic debris by subsequent heavy rainstorms. Post-eruptive lahar occurs during several years after an eruption. At Merapi, lahars are commonly rain-triggered by rainfalls having an average intensity of about 40 mm in 2 hours. Most occur during the rainy season from November to April. Non-eruptive lahars are flows generated without eruptive activity, particularly in the case of a debris avalanche or a lake outburst (e.g., Kelut). A lahar may include one or more discrete flow processes and encompass a variety of rheological flow types and flow transformations. As such, lahars encompass a continuum between debris flows and hyperconcentrated flows, as observed at Merapi, Kelut and Semeru volcanoes. Debris flows, with water contents ranging from 10 to no more than about 25% weight, are non-newtonian fluids that move as fairly coherent masses in what is thought to be predominantly laminar fashion. However, the relative importance of laminar versus turbulent regime is still debatable. Hyperconcentrated streamflows contain 25- to about 40%-weight-water; these flows possess some yield stress, but they are characteristically turbulent. Hazard-zone maps for lahar were produced for most of the the Javanese volcanoes, but these maps are on too small-scale to meet modern zoning requirements. More recently, a few large-scale maps (1/10,000 and 1/2,000-scale) and risk assessments have been completed for a few critical river systems at Merapi.

Tinjauan Kerentanan, Risiko dan Zonasi Rawan Bahaya Rockfall di Kulonprogo, Yogyakarta Hizbaron, Dyah R.; Hadmoko, Danang Sri; Wibawa, Samodra; Dalimunthe, Syarifah Aini; Sartohadi, Junun
Forum Geografi Vol 24, No 2 (2010): December 2010
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/forgeo.v24i2.5021

This research aims at identification of spatial plan zonation in rock fall prone areas. Research method applies hazard, vulnerability and risk analysis as an input for spatial modeling using Multi Criteria Evaluation (MCE). Research reveals that in Girimulyo is susceptible towards rock fall. In the last decades, there were 16 occurrences of rock fall that impacted to physical damages. Fortunately, such disaster did not cause any harm to human life. Therefore, research argue that physical vulnerability analysis can be analyzed, while social vulnerability cannot be analyzed further, since it had less data support. According to the research, there are more than 48 housing units located in hazard zone. Hence, local government should initiate structural mitigation to avoid further loss. Research also reveals that areas with high susceptibility will not directly consider as high risk zone, unless it has high vulnerability index. Example: areas along escarpment, where it has high susceptibility, but it has no element at risk in the area. Thereby, research tries to present zonation for prone hazard areas, using risk index. The result is quite representative, since possible areas to be developed is anywhere alongside road network. Indication of the area is produced from the multi criteria analysis. Multi criteria analysis is an essential method to combine spatial data and its attribute. Using such method requires more data input and expertise in justifying indicator to be selected.

Geospatial Assessment of Coseismic Landslides in Baturagung Area Saputra, Aditya; Sartohadi, Junun; Hadmoko, Danang Sri; Gomez, Christopher
Forum Geografi Vol 29, No 2 (2015): December 2015
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/forgeo.v29i2.693

Java, the most densely populated island in Indonesia, is located on top of the most seismically active areas in Southeast Asia: the Sunda Megathrust. This area is frequently hit by strong earthquake. More than 3,300 M>5earthquakesoccurred between 1973-2014. The wide range of mountainous areas and high intensity of rainfall, make several part of the island one of the most exposed regions for coseismic landslides such as Baturagung area, the Southeast mountainous area of Yogyakarta Province. An integrated method between RS and GIS was used to conduct the vulnerability assessment due to the lack of the site specific slope instability analysis and coseismic landslides data. The seismic zonation of Baturagung area was obtained based on the analysis of Kanai attenuation. The geologic information was extracted using remote sensing interpretation based on the 1:100,000 geologic map of Yogyakarta and geomorphologic map of Baturagung area as well. The coseismic landslide hazard assessment has been estimated using scoring analysis in the GIS platform proposed by Mora and Vahrson (1993) with several modification. The accomplished coseismic landslide hazard map shows medium hazard coverage in the eastern areas, in the upper slope of Baturagung area, which consists of Semilir Formation. The result provides a distinct description of coseismic landslides hazard distribution in Batuaragung area. However, it should only be the preliminary assessment of the site specific investigation especially on valuable area or asset.Â

Analisis dan Estimasi Dampak Longsorlahan terhadap Jaringan Jalan di Kecamatan Samigaluh, Kabupaten Kulonprogo Nugroho, Eko Setya; Hadmoko, Danang Sri; Westen, Cees van; Kingma, Nanette
Forum Geografi Vol 26, No 2 (2012): December 2012
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/forgeo.v26i2.5068

In this study, direct risk assessment was developed for various scenarios on the basis of hazard (e.g. spatial probability, temporal probability and magnitude class), vulnerability and estimating cost of road damage. Indirect risk assessment was derived from traffic interruption. The impact of landslide both direct and indirect impact were analyzed in the road segment 174. The research results show the highest direct impact of debris slide type of magnitude I located in the 20th mapping unit. The lowest direct impact of debris slide type of magnitude I can be founded in the 18th mapping unit. The direct impact of rock fall type of magnitude I which is located in the 6th mapping unit. Meanwhile, indirect impact which was caused by road blockage is Rp. 4,593,607.20 and Rp. 4,692,794.40 by using network analysis and community perception methods respectively. After class classification, road segment 174 is dominated by very low hazard, very low vulnerability and very low direct impact.

Lahars in Java: Initiations, Dynamics, Hazard Assessment And Deposition Processes Lavigne, Franck; Thouret, Jean-Claude; Hadmoko, Danang Sri; Sukatja, Bambang
Forum Geografi Vol 21, No 1 (2007): July 2007
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/forgeo.v21i1.1822

Lahar has been applied as a general term for rapidly flowing, high-concentration, poorly sorted sediment-laden mixtures of rock debris and water (other than normal streamflow) from a volcano. Lahars are one of the most destructive phenomena associated with composite volcanoes, which are dominant in Java Island. Resulting deposits of lahar are poorly sorted, massive, made up of clasts (chiefly of volcanic composition), that generally include a mud-poor matrix. The aim of this research is threefold: to discuss the initiation of lahars occurrences, their dynamics, to assess the hazard and to analyse the deposition. Lahars are either a direct result of eruptive activity or not temporally related to eruptions. Syn-eruptive lahars may result from the transformation on pyroclastic flows or debris avalanches which transform to aqueous flows (e.g. at Papandayan in November 2002); They may be also generated through lake outburst or breaching (e.g. at Kelut in 1909 or 1966), and through removal of pyroclastic debris by subsequent heavy rainstorms. Post-eruptive lahar occurs during several years after an eruption. At Merapi, lahars are commonly rain-triggered by rainfalls having an average intensity of about 40 mm in 2 hours. Most occur during the rainy season from November to April. Non-eruptive lahars are flows generated without eruptive activity, particularly in the case of a debris avalanche or a lake outburst (e.g., Kelut). A lahar may include one or more discrete flow processes and encompass a variety of rheological flow types and flow transformations. As such, lahars encompass a continuum between debris flows and hyperconcentrated flows, as observed at Merapi, Kelut and Semeru volcanoes. Debris flows, with water contents ranging from 10 to no more than about 25% weight, are non-newtonian fluids that move as fairly coherent masses in what is thought to be predominantly laminar fashion. However, the relative importance of laminar versus turbulent regime is still debatable. Hyperconcentrated streamflows contain 25- to about 40%-weight-water; these flows possess some yield stress, but they are characteristically turbulent. Hazard-zone maps for lahar were produced for most of the the Javanese volcanoes, but these maps are on too small-scale to meet modern zoning requirements. More recently, a few large-scale maps (1/10,000 and 1/2,000-scale) and risk assessments have been completed for a few critical river systems at Merapi.

Spatio-Temporal Distribution of Landslides in Java and the Triggering Factors Hadmoko, Danang Sri; Lavigne, Franck; Sartohadi, Junun; Gomez, Christopher; Daryono, D
Forum Geografi Vol 31, No 1 (2017): July 2017
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/forgeo.v31i1.3790

Java Island, the most populated island of Indonesia, is prone to landslide disasters. Their occurrence and impact have increased mainly as the result of natural factors, aggravated by human imprint. This paper is intended to analyse: (1) the spatio-temporal variation of landslides in Java during short term and long-term periods, and (2) their causative factors such as rainfall, topography, geology, earthquakes, and land-use. The evaluation spatially and temporally of historical landslides and consequences were based on the landslide database covering the period of 1981 â 2007 in the GIS environment. Database showed that landslides distributed unevenly between West Java (67 %), Central Java (29 %) and East Java (4 %). Slope failures were most abundant on the very intensively weathered zone of old volcanic materials on slope angles of 30O â 40O. Rainfall threshold analysis showed that shallow landslides and deep-seated landslides were triggered by rainfall events of 300 â 600 mm and > 600 mm respectively of antecedent rainfall during 30 consecutive days, and many cases showed that the landslides were not always initiated by intense rainfall during the landslide day. Human interference plays an important role in landslide occurrence through land conversion from natural forest to dryland agriculture which was the host of most of landslides in Java. These results and methods can be used as valuable information on the spatio-temporal characteristics of landslides in Java and their relationship with causative factors, thereby providing a sound basis for landslide investigation in more detail.

Penerapan Model Statistik Multivariat dalam Studi Kerawanan Longsorlahan di Daerah Aliran Sungai Kodil, Jawa Tengah Pratiwi, Elok Surya; Hadmoko, Danang Sri
Jurnal Geografi : Media Informasi Pengembangan dan Profesi Kegeografian Vol 16, No 1 (2019): January
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jg.v16i1.4961

Tingginya jumlah kerugian yang ditimbulkan dari bencana longsorlahan di DAS Kodil Jawa Tengah membuktikan bahwa upaya manajemen bencana di daerah tersebut masih lemah. Penelitian ini dilakukan sebagai salah satu upaya mengurangi resiko bencana yakni dengan cara merekonstruksi peta kerawanan longsorlahan. Peta kerawanan longsorlahan direkonstruksi menggunakan salah satu metode indirect mapping untuk mengurangi tingkat subjektivitas yang tinggiÃ‚Â yakni metode Logistic Regression Model. Hasil peta kerawanan longsorlahan DAS Kodil menunjukkan bahwa 11,9% luas area termasuk dalam kategori daerah kerawanan tinggi dan 5,8% luas area termasuk dalam kategori daerah kerawanan sangat tinggi. Tingkat akurasi peta kerawanan longsorlahan yang dihasilkan adalah sebesar 69,5%, dimana variabel yang paling berpengaruh terhadap kejadian longsorlahan di daerah penelitian adalah jarak buffer jalan.High numbers of loss from the previous landslide hazard proved that hazard management in Kodil Watershed Central of Java was still low. One of the way to decrease the hazard risk occurrence are with analyzing dynamic of landslide distribution observed from building landslide susceptibility map. Landslide susceptibility map was built using one of indirect method that is Logistic Regression Model (LRM) to reduce the subjectivity result. The result of landslide susceptibility map reveals that 11,9% of area in Kodil Watershed have high susceptibility rate, even more 5,8% area have very high susceptibility rate. Landslide susceptibility map built by LRM reached an accuracy as high as 69,5%, where variable distance from road performs as the biggest influence for landslide occurrence in that area.

Penilaian Tingkat Aktivitas Longsor di Sub-DAS Bompon Ramlah, Ramlah; Hadmoko, Danang Sri; Setiawan, M. Anggri
Media Komunikasi Geografi Vol 21, No 1 (2020)
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/mkg.v20i2.21360

Bencana yang menyebabkan tingginya angka kerusakan fasilitas dan korban jiwa adalah longsorlahan. Dampak longsorlahan mendorong parah peneliti melakukan penelitian longsorlahan guna mereduksi dampak bencana longsorlahan. Salah satu langkah pengurangan dampak longsorlahan yaitu dengan memahami aktivitas longsorlahan. Penelitian ini bertujuan untuk (1) Menilai aktivitas proses longsor di Sub-DAS Bompon, (2) Menentukan tingkat aktivitas longsor di Sub-DAS Bompon. Motode penelitian aktivitas longsor yaitu (1) Observasi lapangan langsung dan Pemotretan UAV (2) Data lapangan divisualisasi menjadi peta 2D dan 3D, (3) Peta 2D dan 3D dianalisis untuk menentukan tingkat aktivitas longsor. Daerah Aliran Sungai (DAS) Bompon menarik untuk dijadikan wilayan kajian aktivitas longsor karena lokasi ini secara umum merupakan bentuklahan perbukitan dan banyak dijumpai bekas longsor yang tersebar di sepanjang DAS. Hasil penelitian pada 2 bekas longsor objek penelitian menujukan bahwa Longsor Kwaderan (K2) merupakan a relict landslide dengan sudut lereng dominan teratur yaitu 17o dan terjadi perubahan morfologi akibat pembuatan terasering untuk pertanian. Sementara Longsor Salakan (Sa) merupakan a re-active landslide dengan longsor baru sebagai indikator. Longsor baru pada Sa terdapat pada badan longsor utama dengan sudut lereng 12o. Longsor baru dipicu oleh gully pada badan longsor ketika kedalaman gully mencapai >6,11 m dan lebar >6,55 m.

Analisis Pengembangan Kawasan Agropolitan Di Kecamatan Sinjai Barat Hidayat, Ahmad; Suratman, Suratman; Hadmoko, Danang Sri
JAGAT (Jurnal Geografi Aplikasi dan Teknologi) Vol 5, No 1 (2021): JAGAT (Jurnal Geografi Aplikasi dan Teknologi)
Publisher : Universitas Halu Oleo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33772/jagat.v5i1.17856

Abstrak: Kecamatan Sinjai Barat adalah merupakan salah satu kecamatan yang ditetapkan sebagai kawasan agropolitan. Luas wilayah Kecamatan Sinjai Barat adalah 13,53 km2 atau 16,53% dari luas total wilayah Kabupaten Sinjai. Penelitian ini bertujuan : 1) mengidentifikasi jenis komoditas unggulan; 2) mengetahui kesesuaian lahan; 3) mengidentifikasi pola sebaran spasial pengembangan kawasan agropolitan. Metode penelitian adalah metode deskriptif berupa pengumpulan dan pengolahan data lapangan, metode pemetaan, metode Location Quotient (LQ), dan metode matching pada software atau program Land Classification and Landuse Planning (LCLP). Hasil penelitian ini menunjukkan bahwa : 1) hasil perhitungan LQ komoditas padi, ketimun, sawi, kentang, wortel, kubis, tomat, serta buncis merupakan komoditas unggulan. 2) kelas kesesuaian lahan, padi dengan kelas kesesuaian lahan S2 (cukup sesuai) 329,49 Ha, S3 (sesuai marginal) 2821,77 Ha, kentang, wortel, sawi, buncis, dan tomat memiliki kelas kesesuaian lahan S2 742,02 Ha dan untuk kelas kesesuaian lahan S3 2409,24 Ha. Komoditas lainnya yakni ketimun dan buncis memiliki kelas kesesuaian lahan S2 742,02 Ha, S3 2062,82 Ha serta kelas kesesuaian lahan N (tidak sesuai) 346,42 Ha. 3) adapun luas lahan yang dapat digunakan untuk pengembangan komoditas padi 329,49 Ha, kentang, wortel dan tomat 1276,59 Ha, ketimun dan sawi 412,53 Ha, buncis 519,47 Ha serta kubis 613,18 Ha.Â Kata Kunci : Agropolitan, Komoditas Unggulan, LCLP, Kesesuaian Lahan

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