Analyze the spatial distribution of tidal flooding along
Research gap analysis derived from 3 earth_science papers in our local library.
The gap
There is a need to analyze the spatial distribution of tidal flooding along the northern coast of Gresik Regency, Indonesia. The study addresses the gap by integrating a Digital Elevation Model (DEM), sea tide records, land use data, and ad
Evidence profile
Sourced from the stated challenges and limitations and stated research gap of the source papers, classified as general, drawn from work published between 2024 and 2026, spanning 3 journals. Those papers have been cited 8 times in total.
Research trend
Established — well-defined area with open sub-problems.
Supporting evidence — 3 representative gaps
- Long-Term and Decadal Sea-Level Trends of the Baltic Sea Using Along-Track Satellite Altimetry (2024) · Remote Sensing · cited 8× · doi
The quality of historical tide gauge records could be quite heterogeneous. The land-bound tide gauge observations yield the relative sea level, which may be susceptible to uncertainties due to vertical land motion. Data gaps in tide gauge records may influence the calculated trend estimates.
generalstated challengesKeywords: quality historical tide gauge records quite heterogeneous land-bound - Assessment of coastal exposure of climate-driven oceanic hazards along the East Coast of India using geospatial techniques (2026) · Scientific Reports · doi
The current study provides a holistic estimation of the CMZ extent using a bathtub approach applied to high-resolution DEMs. The composite inundation levels are derived solely from extreme water levels and relative sea-level rise based on tide- gauge data at each location. However, this approach neither accounts for compound flooding processes (that occur in marine–fluvial transition zones, such as river mouths/deltas) nor natural defences. The sea level rise has been calculated using the GLOSS data available up to 2014 and the subsidence and upliftment factors are not considered in the current study. The actual limitation of CMZ mapping lies within the sensitivity of the data and the techniques used in the current study. The data gaps in the tidal observations might miss some events. The hourly tide data acquired from the survey of India tide gauges may slightly underestimate the actual amplitude, and minor events may be missed. However, the water levels observed during historical events from published data/literature included in the current study might supplement to fill gaps. The high-resolution topographic data used from ALTM is very accurate and detailed. This data is available up to 2 km from the coast, and a few deltas extend beyond. Beyond these ALTM areas, Carto-DTM and Copernicus DEM were being used to generate the CMZ. The ALTM data is highly accurate (vertical accuracy 35cm and less than a meter in horizontal accuracy) when compared to Carto-DTM (relative vertical accuracy 1.43m and Horizontal accuracy of 5m). The relative vertical accuracy of the Copernicus DEM is 1.3 m, and horizontal accuracy is less than 6m. ARTICLE IN PRESSARTICLE IN PRESS ACCEPTED MANUSCRIPT The accuracy of the extents of the CMZ derived in the study is limited to the sensitivities of the data used. Temporal correction on coastal subsidence, uplift and anthropogenic elevation change that might affect exposure is not considered in the current study. The entire village/town administrative boundary has been considered to represent the population exposure, which includes the settlement area and uninhabited area as well. These boundaries are associated with the population data pertaining to the Census of India 2011.
generallimitationsevidence 5/5Keywords: accuracy current used levels relative tide considered events altm vertical horizontal using approach high resolution - Analisis Spasial Potensi Genangan Banjir Rob Akibat Kenaikan Muka Air Laut di Pesisir Utara Kabupaten Gresik (2026) · JURNAL TEKNIK HIDRAULIK · doi
There is a need to analyze the spatial distribution of tidal flooding along the northern coast of Gresik Regency, Indonesia. The study addresses the gap by integrating a Digital Elevation Model (DEM), sea tide records, land use data, and administrative boundary maps.
generalstated research gapevidence 5/5Keywords: there need analyze spatial distribution tidal flooding along
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