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Frequency–magnitude of landslides affected by the 27–29 November 2017 Tropical Cyclone Cempaka in Pacitan, East Java

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Journal of Mountain Science 2020年第4期17卷 773-786页

作者： SAMODRA Guruh NGADISIH Ngadisih MALAWANI Mukhamad Ngainul MARDIATNO Djati CAHYADI Ahmad NUGROHO Ferman Setia Disaster Research Centre(PSBA) Universitas Gadjah MadaYogyakarta 55281Indonesia Laboratory of Environmental Geomorphology and Disaster Mitigation Faculty of GeographyUniversitas Gadjah MadaYogyakarta 55281Indonesia Department of Agricultural and Biosystems Engineering Faculty of Agricultural TechnologyUniversitas Gadjah MadaYogyakarta 55281Indonesia Laboratory of Hydrology and Environmental Climatology Faculty of GeographyUniversitas Gadjah MadaYogyakarta 55281Indonesia Remote Sensing Ground Station Parepare Indonesian National Institute of Aeronautics and SpaceSulawesi Selatan 91112Indonesia

Tropical cyclone(TC) Cempaka which occurred on 27–29 November 2017 has caused floods, landslides, and strong winds in certain areas of Java Island. Pacitan regency was the most severely affected by TC Cempaka. The landslide frequency–area distribution curve of event inventory i.e. TC Cempaka can help to understand landslide susceptibility, hazard, vulnerability, and risk. Landslides were identified by using a local government database and by comparing pre-and post-event high-resolution satellite imageries. Field investigation was carried out in March 2018 to November 2018 to verify the landslide location and update the information. Power law, inverse gamma, and double Pareto model were employed to describe the frequency–magnitude of landslide(mLS) triggered by TC Cempaka. The exponent β values of power law, inverse gamma, and double Pareto were 2.6±0.28(fitted for 8.5% of dataset), 2.2±0.08(fitted for 83% of dataset), and 2.3±0.09(best fitted for dataset), respectively. The P-values were 0.51, 0.67, and 0.91 for power law, inverse gamma, and double Pareto, respectively. This study revealed that rollover occurred at 200 and 300 m2 for double Pareto and inverse gamma, respectively. The cutoff points totaled 1096.49 ± 236.44 and 7235.4 ± 1896.7 m2 for double Pareto and power law, respectively. Rollover phenomenon was real and existed in the dataset because it was far from the minimum resolvable size of the landslide that the authors can delineate from the satellite images. mLS for Pacitan was distributed at around 2 to 4. The magnitude of large landslides was 3.2, that of medium landslides was less than 3, and that of small landslides was almost 4. Numerical estimation calculated a fixed mLS=3.01. Comparison analysis of β values obtained from several landslide inventories triggered by heavy rainfall suggests that the variability of β is related to the intensity and duration of rainfall. Triggering events, such as intensity and duration of rainfall, affect the proportion of large landslides that occur in an area. Mor

关键词： Landslide Tropical cyclone Landslide magnitude Frequency distribution Area distribution Pacitan regency

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Shoreline Change Analysis in Demak, Indonesia

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Journal of Environmental Protection 2017年第8期8卷 940-955页

作者： Komariah Ervita Muh Aris Marfai Faculty of Geography Universitas Gadjah Mada Yogyakarta Indonesia

Demak regency is located in Central Java Province Indonesia bordering the Java Sea. Intense activities in the coastal area of Demak have caused changes in the shoreline. This paper aimed to determine the shoreline change for 25 years and to identify the major factors that influenced those changes in the coastal area of Demak. A shoreline change analysis was conducted based on Multitemporal Landsat satellite imagery with sensors of Thematic Mapper (TM), Enhanced Thematic Mapper plus (ETM+), and Operational Land Imager (OLI). This study used the data from multitemporal Landsat imagery of year 1990, 1994, 1999, 2002, 2008, 2011, and 2015. Identification of the shoreline was performed through band ratio, histogram threshold, and composite band 457 methods. An erosion and accretion analysis has been done using the wind data via the processing of Wind Rose Plot (WRPLOT), wave prediction using Sverdrup Munk Bretschneider (SMB) method, tide data processing to know the value of Mean High Water Level (MHWL), Mean Sea Level (MSL), Mean Low Water Level (MLWL), and Lowest Low Water Level (LLWL), as well as currents data processing that has been implemented to achieve the goal. The research results showed that the shoreline change in Demak regency was quite distinct compared to several previous years due to erosion and accretion processes. The greatest shoreline change happened in Sayung District and Wedung District. Sayung District was likely to experience erosion process while Wedung District tended to show accretion process. Several physical factors that became the major influence on these changes were the wind, waves, currents, and tides.

关键词： Shoreline Dynamics Erosion Accretion Demak regency Indonesia

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