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All Journal Prisma Sains: Jurnal Pengkajian Ilmu dan Pembelajaran Matematika dan IPA IKIP Mataram
Marhaposan Situmorang
Department of Physics, Faculty of Mathematics and Natural Sciences – University of North Sumatra, Jl. Dr. T. Mansur No.9, Padang Bulan, Kec. Medan Baru, Kota Medan, Sumatera Utara
Biochemistry, Genetics & Molecular Biology Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Environmental Science Mathematics Physics Other

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Study of the Utilization of WRF Model Output Data to Produce Daily Flood Forecast Maps in the North Sumatra Region Mega Sirait; Syahrul Humaidi; Marzuki Sinambela; Marhaposan Situmorang; Erna Frida
Prisma Sains : Jurnal Pengkajian Ilmu dan Pembelajaran Matematika dan IPA IKIP Mataram Vol 11, No 2: April 2023
Publisher : IKIP Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/j-ps.v11i2.7735

Abstract

Flood is a natural disaster that often occurs in Indonesia. Currently, flood events are relatively difficult to predict because floods generally occur suddenly in uncertain periods. Extreme rainfall is a major factor for the occurrence of floods. Considering that floods can be caused by heavy rainfall events within a few hours, it is necessary to produce daily flood forecasts for flood disaster mitigation. This study aims to test the accuracy of utilizing rainfall forecast data from the Weather Research and Forecasting (WRF) model to create daily flood forecast maps. The data used in this study include Global Forecast System (GFS) data, BMKG rainfall measurement data which spread across several points in North Sumatra Province, and flood incident reports from BNPB. Data processing is carried out by Geospatial Information System (GIS) using Quantum-GIS, which includes weighting and scoring the parameters of soil type, slope, land elevation, river density, and land cover to produce Flood Prone Maps, then integrated with rainfall data to produce Daily Flood Forecast Maps. The case studies of flood events in this study are August 28 and November 28, 2022. The results showed that the spatial forecast of flood potential (WRF) has a pattern in accordance with the flood event area. Therefore, the WRF model output rainfall prediction data can be used to create a daily flood forecast map in the North Sumatra region.
Characteristics of Cloud to Ground (CG) Lightning and Heavy Rainfall in Medan and Deli Serdang Patra Mesiari Tarigan; Syahrul Humaidi; Yahya Darmawan; Marhaposan Situmorang; Martha Rianna
Prisma Sains : Jurnal Pengkajian Ilmu dan Pembelajaran Matematika dan IPA IKIP Mataram Vol 11, No 4: October 2023
Publisher : IKIP Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/j-ps.v11i4.10295

Abstract

The areas of Medan and Deli Serdang have complex topography, stretching from the slopes of Bukit Barisan Mountains to the east coast of North Sumatera. This condition causes Medan and Deli Serdang areas frequently form convective clouds that produce rain and lightning. This research utilizes Cloud to Ground (CG) lightning data and rainfall from 2019-2022 to analyse the characteristics and relationship between lightning and rainfall in Medan and Deli Serdang. CG lightning data is obtained from Lightning Detector equipment with a 10 km radius to avoid noise and obtain better data. Rainfall data above 50 mm/day (heavy rain) is used, which is obtained from 3 rain gauges locations. The study results showed that there was an increase in lightning events along with an increase of rainfall which showed almost the same pattern of peak activity from lightning and rainfall. The correlation between heavy rainfall and CG lightning, in the Medan and Deli Serdang areas are moderate positive, around r=0.566 for CG-, r=0.567 for CG+ and r= 0.576 for total CG. The highest correlation in Sunggal Rain Station is r = 0.947, in Deli Serdang Climatological Station is r = 0.950 and in the Kualanamu Meteorological Station is r = 0.932.
Co-Authors Erna Frida Martha Rianna Marzuki Sinambela Mega Sirait Patra Mesiari Tarigan Syahrul Humaidi Yahya Darmawan