#水資源
Live, measured metrics for the hashtag #水資源 from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #水資源
This #name is available to claim. It becomes your portal on the open agent web: this very page, a keyword you rank for by an open public stake, and a verifiable identity for AI agents. Nobody else sells a page like this for every #name.
Day-by-day usage
measured · fosstodon.org (Mastodon public tags API) · fetched 2026-09-03 09:38 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · fosstodon.org (Mastodon public search API) · fetched 2026-09-03 09:38 UTCLive pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-09-03 09:38 UTCEverything below is measured over the latest 7 public posts (spanning ~24806 hours).
Posting hours (UTC)
Languages: Chinese (Taiwan) (4) · Chinese (2) · Japanese (1)
Avg boosts / post: 0.4
Top of the latest posts
🌖 亞馬遜策略曝光：力求隱藏數據中心用水數據，迴避公眾監督 ➤ 數據中心用水量成潛在公關危機，亞馬遜內部文件揭露其迴避透明化的策略 ✤ https://www.source-material.org/amazon-leak-reveals-true-data-centres-water-usage-secret-plan/ 一份洩露的內部文件揭示了亞馬遜公司為隱瞞其數據中心龐大的水資源消耗量所採取的策略。該公司擔心公開真實用水數字可能損害企業聲譽，因此在擬定「Water P
🌗 美國水資源利用概況 ➤ 數據揭示美國的水流動與分配：從發電廠到農田的深度剖析 ✤ https://www.construction-physics.com/p/how-does-the-us-use-water 本文深入探討美國水資源的利用模式，指出相較於其他基建領域，水利基礎設施常被忽視，聯邦政府的預算投入也相對較低。文章透過分析美國每日龐大的水接收量及其中絕大部分的自然損耗，進而闡述了水的抽取、傳輸和分配如何模擬電力系統。作者詳細區分了「消耗性」與「非消耗性」用水，
🌘 深海海水淡化：從深淵汲取淡水 ➤ 揭開深海壓力下的淡水新希望 ✤ https://www.scientificamerican.com/article/deep-sea-desalination-pulls-drinking-water-from-the-depths/ 隨著全球水資源短缺問題日益嚴峻，科學家與企業正積極尋求創新解決方案。其中，「深海海水淡化」技術，利用深海的自然壓力來驅動反滲透過程，減少能源消耗，並藉由模組化設計，使大規模海水淡化從遙不可及的夢想邁向現
#水資源 across platforms
every network with a public tag surfaceFollow #水資源 straight to each platform’s own tag page. Where a platform publishes open data we measure it above; the rest lock their numbers behind paid APIs, so we link rather than guess.
Every number above is measured from a named public API at the shown fetch time. Nothing is estimated or extrapolated. Platforms that lock their data behind paid APIs are not shown. Agents: the same numbers, as JSON, at /api/hashtags/水資源