[ABSTRAK
Kota Jayapura merupakan salah satu wilayah yang berada di utara pulau Papua danberhadapan langsung dengan lempeng pasifik, sehingga berpotensi terhadap bencanageologi, salah satunya adalah longsor, walaupun demikian tidak hanya dipengaruhioleh pergerakan lempeng pasifik tetapi juga dari kondisi kemiringan lereng di KotaJayapura yang bervariasi dari dataran rendah (0-8%) sampai perbukitan (>45%),sehingga untuk kajian ini kemiringan lereng serta sesar dan juga kondisi kegempaanyang sewaktu-waktu terjadi karena kota Jayapura berada pada wilayah rawan gempamaka sangatlah berpotensi terhadap longsor yang dipengaruhi oleh kegempaan danadanya sesar. Penelitian ini bertujuan untuk memetakan wilayah rawan dan risikolongsor di Kota Jayapura dengan menggunakan dua model pendugaan, pertamaadalah Model Pendugaan Longsor Direktorat Vulkanologi dan Mitigasi BencanaGeologi dengan paramater curah hujan, geologi, jenis tanah, lereng dan penggunaanlahan; kedua adalah Model Pendugaan Kombinasi (Puslittanak tahun 2004 dan Shabi,H. et. al tahun 2012) dengan parameter kemiringan lereng, curah hujan, geologi, jenistanah, jarak sesar dan kerapatan vegetasi. Hasil penelitian dengan menggunakanolahan Sistem Informasi Geografis (SIG) serta validasi lapangan menujukkan bahwadari total luas wilayah kajian ada perbedaan luas wilayah rawan longsor denganklasifikasi tinggi, yang mana model pendugaan pertama menghasilkan luas wilayahrawan longsor tinggi sebesar 16.780 Ha, sementara itu model kedua sebesar 2.184Ha. Kedua model tersebut divalidasi dengan data di lapangan dan data kejadianlongsor, menunjukkan bahwa model kedua lebih sesuai dengan kondisi lapangan danrepresentatif untuk mengindentifikasi rawan longsor di Kota Jayapura, sehingga dapatdisimpulkan bahwa model tersebut dapat digunakan lebih lanjut untuk keperluanmitigasi.
ABSTRACT
Jayapura city is one area in the north of the island of Papua and dealing directly withthe Pacific plate, so the potential for geological disasters, one of which is a landslide,however is not only affected by the influence of the Pacific plate movement but alsoof the condition of the slope in the city of Jayapura varies from lowlands (0-8%) tothe hills (> 45%), so that for the assessment of slope and seismic faults and also thecondition that at any time there because the city of Jayapura located in earthquakeregion then it has the potential to landslides which affected by seismicity and thepresence of faults. This study aims to map landslide susceptibility areas and risk inJayapura by using two prediction models, the first is the Model Estimation oflandslide Directorate of Volcanology and Geological Hazard Mitigation withparameters rainfall, geology, soil type, slope and land use; The second is acombination Estimation Model (Puslittanak 2004 and Shabi, H. et. al in 2012) withthe parameters slope, rainfall, geology, soil type, fault distance and density ofvegetation. Processed research results using Geographic Information System (GIS)and field validation showed that of the total study area there are vast differences inlandslide-prone areas with higher classification, which first prediction models toproduce high landslide prone area of 16,780 hectares, while the second model of2,184 Ha. Both models are validated with field data and landslide occurrence data,showing that both models are better suited to field conditions and to identify landslideprone representative in Jayapura, so that it can be concluded that the model can beused further for mitigation purposes.;Jayapura city is one area in the north of the island of Papua and dealing directly withthe Pacific plate, so the potential for geological disasters, one of which is a landslide,however is not only affected by the influence of the Pacific plate movement but alsoof the condition of the slope in the city of Jayapura varies from lowlands (0-8%) tothe hills (> 45%), so that for the assessment of slope and seismic faults and also thecondition that at any time there because the city of Jayapura located in earthquakeregion then it has the potential to landslides which affected by seismicity and thepresence of faults. This study aims to map landslide susceptibility areas and risk inJayapura by using two prediction models, the first is the Model Estimation oflandslide Directorate of Volcanology and Geological Hazard Mitigation withparameters rainfall, geology, soil type, slope and land use; The second is acombination Estimation Model (Puslittanak 2004 and Shabi, H. et. al in 2012) withthe parameters slope, rainfall, geology, soil type, fault distance and density ofvegetation. Processed research results using Geographic Information System (GIS)and field validation showed that of the total study area there are vast differences inlandslide-prone areas with higher classification, which first prediction models toproduce high landslide prone area of 16,780 hectares, while the second model of2,184 Ha. Both models are validated with field data and landslide occurrence data,showing that both models are better suited to field conditions and to identify landslideprone representative in Jayapura, so that it can be concluded that the model can beused further for mitigation purposes., Jayapura city is one area in the north of the island of Papua and dealing directly withthe Pacific plate, so the potential for geological disasters, one of which is a landslide,however is not only affected by the influence of the Pacific plate movement but alsoof the condition of the slope in the city of Jayapura varies from lowlands (0-8%) tothe hills (> 45%), so that for the assessment of slope and seismic faults and also thecondition that at any time there because the city of Jayapura located in earthquakeregion then it has the potential to landslides which affected by seismicity and thepresence of faults. This study aims to map landslide susceptibility areas and risk inJayapura by using two prediction models, the first is the Model Estimation oflandslide Directorate of Volcanology and Geological Hazard Mitigation withparameters rainfall, geology, soil type, slope and land use; The second is acombination Estimation Model (Puslittanak 2004 and Shabi, H. et. al in 2012) withthe parameters slope, rainfall, geology, soil type, fault distance and density ofvegetation. Processed research results using Geographic Information System (GIS)and field validation showed that of the total study area there are vast differences inlandslide-prone areas with higher classification, which first prediction models toproduce high landslide prone area of 16,780 hectares, while the second model of2,184 Ha. Both models are validated with field data and landslide occurrence data,showing that both models are better suited to field conditions and to identify landslideprone representative in Jayapura, so that it can be concluded that the model can beused further for mitigation purposes.] |
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