✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount

SleekRank for tsunami pages

Keep events in a single sheet with source event, max runup, affected coasts, casualties, and arrival-time columns. SleekRank renders one indexable URL per tsunami at /tsunamis/{slug}/ from a base page that holds the layout.

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SleekRank for tsunami pages

Tsunami pages are mostly structured fields

A tsunami page is fields more than prose. Source event (earthquake, volcanic eruption, or landslide), source magnitude, date in UTC, max runup in meters, affected coasts, arrival times per coastal station, casualties, and damage notes. The values vary per event, the shape does not. Hand-built tsunami pages drift fast: runups switch between meters and feet, source events get described inconsistently, and arrival-time tables look different on every page.

SleekRank reads a tsunami catalog (Google Sheets or CSV) and renders one URL per row at /tsunamis/{slug}/ using a base WordPress page as the template. Source event, runup, coasts, and casualties slot into fixed selector targets via mappings. Arrival times per station render as a list via a list mapping. Update the sheet, clear the cache, and every page reflects the new data.

The sample table shows the pattern: tohoku-2011 (Mw 9.1, max runup 40 m, Japan/Pacific), sumatra-2004 (Mw 9.1, max runup 30 m, Indian Ocean basin), tonga-2022 (Hunga eruption, max runup 15 m, Pacific basin), chile-1960 (Mw 9.5, max runup 25 m, Pacific basin), and lituya-bay-1958 (landslide, max runup 524 m, Alaska). Each row carries its own context, and adding a newly catalogued event is a row, not a new post.

Workflow

From tsunami catalog to per-event pages

1

Build the catalog source

List one row per event with slug, date in UTC, source event, source magnitude, max runup in meters, basin, affected coasts, casualties, and an arrival_times array.
2

Wire SleekRank mappings

Set tag mappings for title and H1; list mapping for arrival_times; selector mappings for source event, max runup, basin, casualties, and date. Set urlPattern to /tsunamis/{slug}/.
3

Design the event page layout

Build one base WordPress page with placeholders matching each mapping target. Style it around the tohoku-2011 entry; every other event inherits the same scaffolding.
4

Cache and ship

Set cacheDuration high since post-event surveys take months to publish. SleekRank emits sitemap entries per tsunami automatically and excludes the base template from indexing.

Data in, pages out

From tsunami catalog to event pages

One row per tsunami with source event, max runup, affected coasts, casualties, and an array of arrival times.
Data source: Google Sheets / CSV
slug source_event max_runup_m basin date_utc
tohoku-2011 Mw 9.1 megathrust 40 Pacific 2011-03-11
sumatra-2004 Mw 9.1 megathrust 30 Indian Ocean 2004-12-26
tonga-2022 Hunga eruption 15 Pacific 2022-01-15
chile-1960 Mw 9.5 megathrust 25 Pacific 1960-05-22
lituya-bay-1958 Landslide 524 Alaska local 1958-07-09
URL pattern: /tsunamis/{slug}/
Generated pages
  • /tsunamis/tohoku-2011/
  • /tsunamis/sumatra-2004/
  • /tsunamis/tonga-2022/
  • /tsunamis/chile-1960/
  • /tsunamis/lituya-bay-1958/

Comparison

Per-event posts versus a single source sheet

Manual posts per tsunami

  • Max runups switch between meters and feet
  • Source events get described in inconsistent ways
  • Arrival-time tables look different per page
  • Casualty figures use mixed sources without a canonical column
  • Adding a newly catalogued tsunami means cloning and editing
  • Bulk corrections after a survey publishes are slow

SleekRank

  • One URL per tsunami from a single base page
  • Source, runup, and basin live in fixed selector slots
  • Arrival times per station render as a clean list
  • Casualty and damage figures cite a single source column
  • Sheet edits flow to every page on cache flush
  • Sitemap auto-includes every tsunami URL

Features

What SleekRank gives you for tsunami pages

Per-event URLs

Each tsunami in the catalog gets its own URL like /tsunamis/tohoku-2011/, generated from one base page. Adding a newly catalogued event is a row in the sheet, not a new WordPress post.

Arrival times as lists

Map an arrival_times array column with station and minutes-after-source values to a list selector so every page presents the same scannable timeline.

Sheet-driven updates

Researchers edit the sheet after each post-event survey publishes. Cache flushes, and every page reflects the new runups and casualty figures.

Use cases

Who builds tsunami pages with SleekRank

Tsunami research centers

Centers that maintain regional or global tsunami catalogs and need a structured page per event with source, runup, coasts, and arrival-time fields kept consistent.

Coastal hazard portals

Preparedness sites that publish historical tsunamis affecting a coastline with a consistent shape so residents and planners can compare events.

Science explainer publishers

Outlets that build per-event reference URLs for major tsunamis with stable structure for citations across follow-up articles and broader explainers.

The bigger picture

Why tsunami content is structured data

Tsunamis are values dressed up as prose. Source event is a category (earthquake, volcanic, landslide). Max runup is a number with a unit.

Arrival time per station is a relative duration. Casualty figures are numbers with provenance. Treating every tsunami as a freeform post throws all that structure away and lets formatting drift across the catalog.

Readers comparing two megathrust tsunamis want max runup, source magnitude, and arrival times in the same place every time. With SleekRank, layout stays uniform because every page reads the same fields. Updates after a new post-event survey publishes become a sheet edit, not a multi-page audit, and the catalog stays comparable across events spanning a century or more.

Questions

Common questions about SleekRank for tsunami pages

No. SleekRank does not generate tsunami content. You provide the catalog (source event, runup, coasts, casualties, and so on) and SleekRank renders one page per row. Editorial responsibility for accuracy and source attribution stays with you. SleekRank's role is the rendering and routing layer between the dataset and the live site.

 

Yes. Add a runup_map_url column and map it via a tag mapping that injects an image. For survey photos add an images array and render via a list mapping that emits each as a captioned figure.

 

Use a casualties_range column with a low/high pair and a casualties_source column citing the survey. Render via selector mappings so readers see both the range and the source on every event page.

 

Store an arrival_times array with station name and minutes-after-source. A list mapping renders each entry, and the layout stays identical from one event to the next.

 

SleekRank caches the source per cacheDuration set in seconds. Edit the sheet, clear the SleekRank cache via WP-CLI or admin, and the next request rebuilds the page with new data. For tsunami catalogs (slow to update) set cacheDuration high so the source is not constantly refetched.

 

Yes. Each generated URL is a real WordPress page included in the sitemap. The base template is excluded automatically so the scaffolding does not compete with real event pages. Run a rewrite flush after adding new slugs so the routes resolve immediately on production.

 

Yes, but that's a hub page rather than the per-event URL. Build /tsunamis/ as a filter page that pulls from the same catalog and filters by basin, source type, or year. SleekRank handles the per-event detail pages; the hub uses the same source as the single point of truth.

 

Update the max_runup_m value in the source row and clear the SleekRank cache. The page rebuilds with the revised value. Keep a measurement_note column if you want to render an editorial footnote describing how the figure was revised.

 

Pricing

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