Jonson Lumban-Gaol

Dr. Jonson Lumban-Gaol

IPB University, Indonesia

Research Focus & Metrics

Academic Career Length

6Years (2021-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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2 February 2021 in Climate
Verified
Journal Article
Open access
PDF file
JLJonson Lumban-Gaol
Jonson Lumban-Gaol
ESEko Siswanto
Eko Siswanto
KMKedarnath Mahapatra
Kedarnath Mahapatra
NNNyoman Metta N. Natih
Nyoman Metta N. Natih
I Wayan NurjayaI Wayan Nurjaya
I Wayan Nurjaya
APand Arik Permana
and Arik Permana
Although researchers have investigated the impact of Indian Ocean Dipole (IOD) phases on human lives, only a few have examined such impacts on fisheries. In this study, we analyzed the influence of negative (positive) IOD phases on chlorophyll a (Chl-a) concentrations as an indicator of phytoplankton biomass and small pelagic fish production in the eastern Indian Ocean (EIO) off Java. We also conducted field surveys in the EIO off Palabuhanratu Bay at the peak (October) and the end (December) of the 2019 positive IOD phase. Our findings show that the Chl-a concentration had a strong and robust association with the 2016 (2019) negative (positive) IOD phases. The negative (positive) anomalous Chl-a concentration in the EIO off Java associated with the negative (positive) IOD phase induced strong downwelling (upwelling), leading to the preponderant decrease (increase) in small pelagic fish production in the EIO off Java.

29 February 2024 in Remote Sensing
Verified
Journal Article
Open access
PDF file
JLJonson Lumban-Gaol
Jonson Lumban-Gaol
JSJosaphat Tetuko Sri Sumantyo
Josaphat Tetuko Sri Sumantyo
ETEfendy Tambunan
Efendy Tambunan
DSDavid Situmorang
David Situmorang
IAI Made Oka Guna Antara
I Made Oka Guna Antara
RARisti Endriani Arhatin
Risti Endriani Arhatin
Global sea level rise (SLR) has emerged as a pressing concern because of its impacts, especially increased vulnerability of coastal urban areas flooding. This study addresses the pressing concern of SLR and flood vulnerability in the East Coast of North Sumatra (ECNS) and Medan City. We employ a data-driven approach integrating multicriteria analysis, analytical hierarchy process (AHP)-based weighting, and spatial modeling within a geographic information system framework. The analysis considers crucial factors such as slope, land use, soil type, SLR, and land deformation. The study expands the existing framework by incorporating SLR and land subsidence, acknowledging their significant roles in exacerbating flood vulnerability. Future flood-intensity scenarios are simulated based on SLR projections. Data for spatial analysis primarily originated from multisensor satellite imagery, secondary sources from published literature, and field surveys. We validated the consistency of the variable weightings assigned for vulnerability analysis using a consistency ratio threshold (<0.1). Finally, the established flood vulnerability model was validated by comparing its predictions with recorded flood events in the ECNS and Medan City. The ECNS and Medan City areas were classified as very high and highly vulnerable to flooding, respectively.

2 November 2023 in Preprints.org
Verified
Preprint
Open access
PDF file
JLJonson Lumban-Gaol
Jonson Lumban-Gaol
JSJosaphat Tetuko Sri Sumantyo
Josaphat Tetuko Sri Sumantyo
ETEfendy Tambunan
Efendy Tambunan
DSDavid Situmorang
David Situmorang
IAI Made Oka Guna Antara
I Made Oka Guna Antara
NSNi Putu Asri Ratna Suhita
Ni Putu Asri Ratna Suhita
Flood disasters have become an annual occurrence along the East Coast of North Sumatra (ECNS) and Medan City. Numerous studies have examined the causal factors flood disasters in this area, such as changes in land use, drainage issues, and population growth, but the intensity of flood disasters continues to rise. In this research, we focused on evaluating the unexplored factors of land subsidence and rising sea levels in this region. Our investigation uses multi-sensor satellite data and field surveys to conduct an assessment of the rate of land subsidence and sea level rise and assess their implications on flood disasters. This study highlights the potential of multi-sensor satellite data as a primary resource for assessing flood disasters in coastal areas and densely populated large cities. Furthermore, we propose a solution to reduce the negative impact of flood disasters by by engaging local communities and environmental enthusiasts in mangrove reforestation along the coastline.

4 March 2021
Verified
Other
Open access
DSDavid Situmorang
David Situmorang
RARisti Endriani Arhatin
Risti Endriani Arhatin
JLJonson Lumban-Gaol
Jonson Lumban-Gaol
DMDevyan Meisnnehr
Devyan Meisnnehr
The land surface in DKI Jakarta Province is thought to have experienced relatively continuous subsidence because of natural processes and man-made activities. This research was carried out to evaluate the rate of land subsidence in Jakarta Province. The data used in this study are two pairs of Sentinel-1A level 1 Single Looking Complex (SLC) images which were acquired in 2019 and 2020. The data was processed using the DInSAR method to examine the rate of land subsidence.  The results show that the land subsidence rate in Jakarta Province during the 2019-2020 period varies from 1.8 cm to -10.7 cm/year. From 2019 to 2020, the average land subsidence in the City of North Jakarta is around –4.9 cm/year, East Jakarta is around –2.5 cm/year, West Jakarta is around –4.8 cm/year, Central Jakarta is around –3.1 cm/year, and South Jakarta about –2.8 cm/year. Land subsidence occurs mostly in coastal areas and near estuaries caused by the nature of alluvial deposition materials. It has caused damages to road infrastructure in several regions of Jakarta Province, such as Mutiara Beach, West Cengkareng, and Pademangan. Keywords: coastal areas, DInSAR, land subsidence, satellite imagery, Sentinel-1A