Evidence map›Paper›PMID 41647528›Full record

ReviewFundamental research2026

Coastal Zone Information Model: A comprehensive architecture for coastal digital twin by integrating data, models, and knowledge.

Zhaoyuan Yu, Pei Du, Lin Yi, Wen Luo, Dongshuang Li, Binru Zhao, Longhui Li, Zhuo Zhang, Jun Zhang, Jiyi Zhang and 6 more

Abstract readReview
In one paragraph

Review in Fundamental research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors.

Zhaoyuan YuSchool of Geography, Nanjing Normal University, Nanjing 210023, China.
Pei DuSchool of Geography, Nanjing Normal University, Nanjing 210023, China.
Lin YiCollege of Geography and Planning, Chengdu University of Technology, Chengdu 610059, China.
Wen LuoSchool of Geography, Nanjing Normal University, Nanjing 210023, China.
Dongshuang LiJiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China.
Binru ZhaoSchool of Geography, Nanjing Normal University, Nanjing 210023, China.
Longhui LiSchool of Geography, Nanjing Normal University, Nanjing 210023, China.
Zhuo ZhangSchool of Geography, Nanjing Normal University, Nanjing 210023, China.
Jun ZhangSchool of Geography, Nanjing Normal University, Nanjing 210023, China.
Jiyi ZhangSchool of Geographical Science, Nantong University, Nantong 226007, China.
Wenchao MaSchool of Geography, Nanjing Normal University, Nanjing 210023, China.
Changchun HuangSchool of Geography, Nanjing Normal University, Nanjing 210023, China.
Shuo LiSchool of Geography, Nanjing Normal University, Nanjing 210023, China.
Xiaolu YanCenter for Studies of Marine Economy and Sustainable Development, Liaoning Normal University, Dalian 116029, China.
Guonian LvSchool of Geography, Nanjing Normal University, Nanjing 210023, China.
Linwang YuanSchool of Geography, Nanjing Normal University, Nanjing 210023, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The coastal zone represents a critical intersection of naturally ecological and socio-economic processes. The abundance of data, models, and knowledge derived from various sources in coastal zones facilitates us to integrate them to better understand the evolution of coastal environments. This paper proposes a comprehensive framework of Coastal Zone Information Model (CZIM) to integrate multi-domain coastal information. The core idea of CZIM is to integrate multi-discipline coastal data, models, and knowledge for standardized governance, so as to carry, express, and apply coastal information by the digital system approaching the coastal digital twin. The CZIM framework includes four aspects: coastal data governance, model integration, knowledge engineering, and system construction. We perform a detailed literature review to illustrate the demands and challenges related to those four. The components of each aspect and their interlinks are introduced subsequently, and the future challenges of constructing coastal digital twins relying on CZIM are discussed. CZIM aims to strengthen the ability to organize, manage and apply refined coastal information to support more efficient, scientific, and intelligent decision-making in response to gradually volatile forces from both human activities and natural events, now and in the future. This paper provides a valuable reference for the next generation of coastal digitization in the target of the coastal digital twin.

Indexed as

Coastal digital twinCoastal digitizationCoastal knowledge cognitionCoastal zone information modelData and model integration

Identifiers

PMID41647528
PMCPMC12869752

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.