Fiolenta Marpaung
@bppt.go.id
Badan Pengkajian dan Penerapan Teknologi
Scopus Publications
Scopus Publications
F Marpaung, D Fernando, N Setyaningrum, S Lestari, R Sulistyowati, and G P Dinanta
IOP Publishing
Abstract A 4-day-flood occurred in Jakarta Province, Indonesia at the end of 2019 caused severe moral and material losses and weakened the economy. Various flood risk management methods are available to mitigate this damage. Assessing flood risks is thus an essential task for disaster management activities. An accurate flood risk map is required to be developed. In this research, we developed an economic valuation of flood risk that combines a quick flood map with the consequences of flooding using the Multi – Criteria Decision Analysis (MCDA) in the DKI Jakarta area. A quick identification of flood zones was carried out using SAR (Synthetic Aperture Radar). We estimated that about 54.10 km2 area was flooded area with a total economic loss about 1.406 trillion rupiahs. The sector of construction (10.10%), manufacturing (11.51%), wholesale, rental trade and repair of vehicles (13,90%), business activities (6.77%), financial & insurance (7.33%), and information & communication (7.6%) are major affected sectors that contributes 56.86% of the total economic loss from the market value. 20.49%-other service activities implicitly underestimate the value of environmental services and human productivities. To understand this, a detailed analysis of non-market value is needed in understanding the actual total economic loss.
D P Sobaruddin, F. Marpaung, R.A.B. Putra, A. Fahim, C.S. Dharma, D.T. Pramono, and A. Kristiawan
IOP Publishing
Abstract The interaction of sea and air plays a very important role in the early stages of cloud formation. In certain cases, changes in temperature in the sea surface layer and the atmospheric layer closest to the sea will affect the initiation of the formation of water vapor which can become cloud. To monitor the sea-air temperature interaction above Seamount in Halmahera Sea, we took an expedition of Jala Citra-I 2021 Aurora from August 28 to September 9, 2021 using The Indonesian Navy Center for Hydrography and Oceanography research vessel, the Navy’s KRI Spica-934. Weather condition was observed using two installed Automatic Weather Stations (AWS) mounted on a vessel, radiosonde in Sorong, West Papua, and Outgoing Longwave Radiation (OLR) data from NOAA (National Oceanic and Atmospheric Administration), while the profile of sea surface temperature (SST) were observed using a 24-hour CTD measurement. Both AWS data were analyzed using two samples Kolmogorov-Smirnov test with h=1 and showed low correlations (r2 = 0.2-0.4, p-value <0.01) for the parameters of temperature, relative humidity, and wind speed. The hourly SST ranged 29°C – 30°C from 0-50 meter and the Lifting Condensation Level ranged about 939 to 985 mb in the morning on 1 - 2 September. The OLR was a neutral and positive values. These conditions indicated that a strong local effect dominantly created by a strong sea-air interaction in the study area. A warm SST with a strong divergence wind leads a warm air layer developed on the sea surface to rise. A low OLR with a moderate CAPE is enough to support the updraft of water vapor, rising from sea surface and then support convective activity formed in the region. In addition, it shows that the changes activity of convective clouds, developing over warm waters, are dominant mode of diurnal variability. However, investigation of intra-seasonal variability in Halmahera Sea was not clear. Further investigation on spatiotemporal of sea-air interaction on a local scale are needed to capture the phenomena on its season.
Nugraheni Setyaningrum, Dynosius Bryan Sencaki, Fiolenta Marpaung, Muhamad Dayuf, and Aji Putra Perdana
IEEE
An 2021-flood occurred in South Kalimantan Province caused severe moral and material losses, the destruction of nature, and weakened the wheel of the economy. Rapid identification of affected flood inundation areas spatially is essential for monitoring and assisting in the preparation of emergency responses. Spatial analysis of flood areas utilizes SAR (Synthetic Aperture Radar) images because its wavelength is able to penetrate well through clouds or hazy atmosphere. This study utilizes Sentinel-1A level GRD (Ground Range Detect) - IW (Interferometric Wide Swath Mode) images with VV and VH polarization. We used Remote Sensing Change Detection (RDCD) method and then implemented a flood threshold. Flood event verification is obtained from the crowdsourcing report of flood events through social media. Results shows that 11 districts of South Kalimantan were affected by flooding, namely Balangan Regency (3,498 ha), Banjar (47,548 ha), Barito Kuala (37,530 ha), Hulu Sungai Selatan (9,939 ha), Hulu Sungai Tengah (9,789 ha), Hulu Sungai Utara (13,002.24 ha), Tabalong (4,876 ha), Tanah Laut (25,931 ha), Tapin (15,597 ha), Banjarbaru (2,812 ha) and Banjarmasin (6,570 ha).
Winarno Winarno, Bayu Sutejo, Reni Sulistyowati, Taufiq Widiaputra, and Fiolenta Marpaung
IEEE
Fiolenta Marpaung, Dionysius Bryan Sencaki, Siti Arfah, Agustan Agustan, Oni Bibin Bintoro, and Nugraha Ramadhana
IEEE
Numerous studies about the transmission of rabies have been reported to not restrict by administrative boundaries and the history of occurrence of the diseases. These conditions were influenced by surrounding environments, economic conditions, and human and animal habits. The environmental factors such as land use, water bodies, forests, and land slopes are considered to be the defining factor for migrating rabid animals to move from place to place. The study of the spread of rabies cases based on environmental elements that can predict the direction of the spread of rabies cases overtime is needed. Yet, information on how environmental conditions affect the dispersal pattern of human rabies or rabid remains unclear. Hence, we analyzed it and they considered it to be the input of the rabies alert system. Environmental factors on human rabies and rabid dogs are explored to define the spatial rating distribution of rabies in North Sulawesi Province, Indonesia. The purpose of this work is to obtain up a spatial model design to help predict rabies spread patterns based on land closure conditions. The result shows that a combination using the land cover, slope/ elevations and location of the cases significantly shows the dispersal pattern of rabid animals. It is dominantly happening in urban areas with a low slope condition and represents about 80% of the total human rabies cases. Still, this study was limited to the movement of rabid animals due to a lack of rabid-animals and animal populations. Thus, future analysis of epidemiology rabies predictions is needed.
Anisah, F Marpaung, A Purwandani, D Nugroho, and L Sumargana
IOP Publishing
Increasing peat fire in Indonesia have encouraged government or research institutes to develop an early warning system. This system needs various parameters in order to have an accurate result. Magnetic permeability and susceptibility are the physical properties of peat which expected to support this system. Field and laboratory measurements were conducted to determine the relationship between the peat temperature rise and the physical properties of the peat. A total of 30 samples was collected from Ogan Komering Ilir (OKI) Regency, South Sumatera, Indonesia. Each sample was tested with a temperature rise of 20°C until reach the convergent temperature. Statistical analysis were then performed. The results show that the magnetic permeability correlate with the peat temperature but the coefficient of the linear regression model is very small, with the constanta of 1.0022 from the linear regression model. In addition, magnetic susceptibility have a small correlation and a small determination coefficient with temperature. Therefore, it indicates that magnetic susceptibility can't support this system.
F Marpaung, Sumirah, L Sumargana, and D Nugroho
IOP Publishing
Profile of dielectric constant of a substance or a surface indicates its electromagnetic parameters. The profile is associated with electric polarization, permeability with magnetic polarization, and conductivity with an electric current field. In the practice, the Synthetic Aperture Radar (SAR) and the Ground Penetrating Radar (GPR) are commonly utilized to determine how much velocity of a substance and its scattering profiles. However, information about the profile radar scattering mechanisms in tropical peatland is still limited. Therefore, we evaluated dielectric constant from the field using GPR and estimated its spatial variation from a dual-polarization Sentinel-1A type C-band SAR in Ogan Komering Ilir, South Sumatera Province, Indonesia. We measured dielectric constant at the two major types of land use, namely oil palm and acacia. Results indicated that the dielectric constant derived from SAR Sentinel-1A and GPR are affected by peat moisture. It increases as the peat moisture increases. Results show that during peat dry conditions, the profiles of dielectric constant derived from dual-pol Sentinel-1A images are relatively similar to the dielectric constant of peat in Siak Regency. It ranges between 31.78 and 59.3. The dielectric constant derived from GPR ranges between 69 and 70.
S Putiamini, F Marpaung, and D Fernando
IOP Publishing
F Marpaung, S Putiamini, D Fernando, G P Dinanta, Sumirah, and D Nugroho
IOP Publishing
Synthetic Aperture Radar (SAR) is newest remote sensing technology that is not affected by meteorological conditions. This technology is particularly suitable for use in tropical regions such as Indonesia. In tropical peatland, Indonesia becomes the most important countries for peat areas and carbon stocks. However, this tropical peatland forest had been disturbed by fires, and become a national issue and an international issue. In disaster mitigation, identifying the existence of tropical peatland are needed. But this information is very limited. Therefore, we analysed backscattering value of VV and VH polarisation, and estimated dielectric constant from a dual-polarisation Sentinel-1A in Siak Regency, Riau Province, Indonesia. We also measured dielectric constant at four several types of land use (namely, forest, oil palm, shrubs, and agriculture) along with two types of peat conditions. Results indicated that the dielectric constant decreases as the land use become dry. Results show that the profiles of dielectric constant derived from dual-pol Sentinel-1A images have a high similarity to the direct approach using GPR, with a degree of similarity of 87.24%. The averaged dielectric constants of peat are lower than the peat in subtropics area and ranges between 41 and 68.
Fiolenta Marpaung, Doni Fernando, and Sepanie Putiamini
IEEE
Tropical peatland is one of the main factors in global climate regulation. However, a repeatable large-scale fire as a result of land clearing and poor management practices rapidly devastates tropical peatlands in Indonesia. To restore this ecosystem, Indonesia government makes special actions by doing three activities, namely rewetting, replantation, and communal empowerment. These activities need real-time and actual information of peat moisture. Therefore, we investigated the soil moisture profile in Ogan Komering Ilir, South Sumatera Province, Indonesia. We measured soil moisture at four different soil layers, namely 5-cm, 15-cm, 25-cm, and 35-cm soil layer along with two types of land covers, namely acacia and oil palm. Results indicated that the variance of 15-cm was lower than other soil layers. Therefore, the soil moisture in the layer of 15-cm soil layer can be used as preliminary information of drought in tropical peatland, Indonesia.
F Marpaung, S Putiamini, D Fernando, E Avianti, H Priyadi, and A Darmawan
IOP Publishing
Fiolenta MARPAUNG and Takashi HIRANO
Society of Agricultural Meteorology of Japan
Changes in cloud cover and atmospheric aerosol loading strongly affect the diffuse proportion of solar radiation (Rd/Rg). It has been reported that plant photosynthesis is more efficient under diffuse light conditions, but diffuse radiation (Rd) regimes in tropical peatland frequently subjected to largescale fires are poorly described, and there are few or no site-based datasets to date. Therefore, we continuously measured Rd for more than three years at a burnt ex-forest on tropical peatland in Central Kalimantan, Indonesia. Daily Rd/Rg was significantly related to the clearness index (Rg/Ro) with a linear threshold model. The model parameters showed that Rd/Rg under a clear sky is larger in tropical peatland with a humid climate than in Australia. Using the model, long-term variation in Rd/Rg for more than 12 years was estimated from Rg measured above a nearby forest. As a result, Rd/Rg showed a seasonal variation with its minimum of 0.51 in June (the transition between the wet and dry seasons) and its maximum of 0.68 in October (the late dry season) on a monthly basis. The decreasing pattern from the late wet season to the early dry season corresponded to decreasing precipitation due to fewer clouds. In contrast, the increasing pattern through the latter half of the dry season was due to shading by smoke emitted through burning biomass and peat fires. In particular, during the El Niño droughts in 2002, 2006 and 2009, the monthly mean Rd/Rg rose above 0.72, because the ground was densely covered with smoke from large-scale fires.