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Lesi Mareta
Department of Atmospheric and Planetary Sciences, Faculty of Science, Institut Teknologi Sumatera, South Lampung 35365, Indonesia
Astronomy Chemistry Earth & Planetary Sciences Materials Science & Nanotechnology Medicine & Pharmacology

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Flood susceptibility mapping using GIS-based composite mapping analysis: a multi-district assessment in Lampung Province, Indonesia Muhammmad Rizky Alfajar; Lesi Mareta; Ajeng Utari Siti Saodah
Scientific Nexus Vol. 1 No. 2 (2025): Scientific Nexus
Publisher : Fakultas Sains Institut Teknologi Sumatera

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35472/scinexus.2410

Abstract

Flooding is a recurring hydrometeorological disaster in Lampung Province, Indonesia, particularly affecting Pesawaran Regency, South Lampung Regency, and Bandar Lampung City. This study mapped flood susceptibility using Geographic Information Systems (GIS) with Composite Mapping Analysis (CMA) and scoring methods to support disaster risk reduction planning. Six parameters were analyzed: rainfall, land cover, slope, elevation, soil type, and river buffer distance. Parameter weights were derived objectively through CMA based on spatial analysis of 258 historical flood events (2018-2024). Rainfall data (2015-2024) were interpolated using Inverse Distance Weighting, and spatial analysis was conducted in ArcGIS 10.8. Results show that 90.66% of the study area falls within moderate to high susceptibility classes. Rainfall received the highest weight (20%), followed by elevation (19%), soil type (18%), land cover (16%), river buffer (14%), and slope (13%). Model validation achieved 77.78% accuracy when compared with historical flood locations across 45 sub-districts. High susceptibility areas are characterized by annual rainfall exceeding 2,500 mm, elevations below 50 masl, poor soil infiltration capacity, and dense settlement. The CMA method provides objective parameter weighting while maintaining computational simplicity suitable for resource-constrained settings, offering a practical framework for flood susceptibility assessment in similar tropical regions.
Trend analysis of extreme climate indices in coastal Semarang using ETCCDI and Mann–Kendall Test (1995–2024) Ghefira Tsuraya Rafli; Lesi Mareta; Sugeng Nugroho
Scientific Nexus Vol. 2 No. 2 (2026): Scientific Nexus
Publisher : Fakultas Sains Institut Teknologi Sumatera

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35472/scinexus.2735

Abstract

This study analyzes trends in seven ETCCDI extreme climate indices at the Tanjung Emas Maritime Meteorological Station, coastal Semarang, Indonesia, over 1995–2024. Daily rainfall, minimum temperature, and maximum temperature records underwent quality control (RClimdex) and homogeneity testing (RHtestsV4). The Mann–Kendall test assessed trend significance and Sen's slope quantified trend magnitude, applied to the full 30-year period and two 15-year sub-periods (1995–2009 and 2010–2024). Among precipitation indices, total annual rainfall (PRCPTOT) and maximum 1-day rainfall (RX1day) showed significant increasing trends, with Sen's slopes of +16.53 mm/year and +2.09 mm/year, respectively. Consecutive dry and wet day indices showed no significant trends. Among temperature indices, warm night frequency (TN90p) and warm day frequency (TX90p) increased significantly at +0.50 and +0.54 days/year, respectively, while the diurnal temperature range showed no significant change. Sub-period analysis revealed acceleration of TX90p in 2010–2024 (Sen's slope = +1.19 days/year), indicating intensifying daytime warming in the more recent period. No precipitation index reached significance within either sub-period, suggesting that rainfall trends accumulate over decadal rather than sub-decadal timescales. These results provide quantitative evidence of strengthening warming signals and increasing rainfall intensity in coastal Semarang, with implications for flood risk management and climate adaptation planning.
Co-Authors Ajeng Utari Siti Saodah Ghefira Tsuraya Rafli Muhammmad Rizky Alfajar Sugeng Nugroho