Oct 2026· Jurnal Penelitian Pendidikan IPA· 0 citations· 37 references
Abstract
Tidal flooding has become an increasingly significant environmental hazard in coastal areas. This study aims to: (1) identify the spatial characteristics of tidal flooding in the coastal area, (2) analyze the spatial factors influencing tidal flood vulnerability; (3) assess the level of tidal flood vulnerability using geospatial analysis; and (4) propose adaptation strategies based on the resulting vulnerability patterns. The analysis includes eight key variables: slope gradient, elevation, distance to the coastline, distance to the river, Topographic Moisture Index (TWI), soil type, rainfall, and land use. The spatial datasets were processed in a Geographic Information System (GIS) environment and integrated using a multi-criteria spatial analysis approach to generate a tidal flood vulnerability map. The results showed that vulnerability to tidal flooding was strongly associated with low elevation, gentle slopes, proximity to the coastline and river network, high TWI values, poorly drained alluvial soils, high rainfall intensity, and land use dominated by settlements, fish farming ponds, and agricultural land. The vulnerability assessment classified the study area into five categories: very high (5,717 ha; 12.62%), high (7,919 ha; 17.47%), moderate (5,515 ha; 12.17%), low (2,404 ha; 5.30%), and very low (23,762 ha; 52.44%). Areas with high and very high vulnerability were concentrated in lowland coastal zones and riverine environments. Adaptation strategies include strengthening coastal protection, improving drainage infrastructure, implementing ecosystem-based coastal management, regulating land use in vulnerable areas, and enhancing community-based disaster preparedness. This study demonstrates the effectiveness of geospatial analysis to support tidal flood risk reduction and sustainable coastal planning.
Coastal tidal flooding remains a major environmental hazard threatening the coastal areas of Pekalongan City, Indo-nesia. This study aims to analyze the spatial distribution of tidal flood vulnerability and identify the most influential driving factors affecting the coastal zone of Pekalongan City using the quantitativ...
Saptono Putro, E. Kurniawan, Mohammad Syifauddin et al.· Ecological Engineering &...· 0 citations
Background: Coastal flooding or tidal inundation (banjir rob) is one of the visible impacts of climate change that increasingly affects coastal regions in Indonesia, including West Sulawesi Province. Sea-level rise, land-use changes, and mangrove degradation have intensified the vulnerability of coastal areas to tidal...
Haryanto Asri, Hardianti Nur· Journal of Business, Social...· 0 citations
This study evaluates the influence of topographic and hydrological factors on flood susceptibility
in the South–South region of Nigeria using Geographic Information Systems (GIS), Remote
Sensing, and the Analytical Hierarchy Process (AHP). Digital Elevation Model (DEM), slope,
aspect, drainage density, stream densit...
Anthony Chikaike Nwinye-Harrison· IIARD International Journal...· 0 citations
Flood susceptibility mapping that integrates hydrological and geospatial information remains limited at the sub-watershed scale, particularly in rapidly developing coastal urban areas. This study maps flood susceptibility in the Batang Kandis Sub-watershed, Padang City, by integrating hydrological data through Google E...
Flooding remains one of the most severe and recurrent natural hazards in sub-Saharan Africa, posing persistent threats to rural livelihoods, infrastructure, and environmental stability. In Malawi, the Lower Shire River Valley, particularly Nsanje district, is highly vulnerable to recurrent flooding due to climatic vari...
Charles Bakolo, L. Ngwira, Kennedy Nazombe et al.· PLoS ONE· 0 citations
Flooding is one of the most frequent and devastating natural hazards affecting urban areas globally, leading to considerable social, economic, and environmental impacts. In the present study, a novel framework for flood susceptibility mapping is proposed using the stochastic Hill‐Climbing (SHC) method in the Analytic...