Evidence map›Paper›PMID 38877628›Full record

ArticleWater science and technology : a journal of the International Association on Water Pollution Research2024

Urban flood modeling with a novel coupling method of surface and sewer hydrodynamic processes.

Siyi Wang, Jiaying Wang, Kunlun Xin, Hexiang Yan, Shuping Li, Tao Tao

Abstract read
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In one paragraph

Article in Water science and technology : a journal of the International Association on Water Pollution Research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Siyi WangCollege of Environmental Science and Engineering, Tongji University, Shanghai 200092, China.ORCID https://orcid.org/0000-0002-8106-1141
Jiaying WangCollege of Environmental Science and Engineering, Tongji University, Shanghai 200092, China.
Kunlun XinCollege of Environmental Science and Engineering, Tongji University, Shanghai 200092, China.
Hexiang YanCollege of Environmental Science and Engineering, Tongji University, Shanghai 200092, China.
Shuping LiCollege of Environmental Science and Engineering, Tongji University, Shanghai 200092, China.
Tao TaoCollege of Environmental Science and Engineering, Tongji University, Shanghai 200092, China E-mail: taotao@tongji.edu.cn.ORCID https://orcid.org/0000-0003-4214-7097

Funding

National Natural Science Foundation of China 51778452National Natural Science Foundation of China 51978493
6 · The paper itself

Abstract

Drainage modeling that accurately captures urban storm inundation serves as the foundation for flood warning and drainage scheduling. In this paper, we proposed a novel coupling ideology that, by integrating 2D-1D and 1D-2D unidirectional processes, overcomes the drawback of the conventional unidirectional coupling approach that fails to properly represent the rainfall surface catchment dynamics, and provides more coherent hydrological implications compared to the bidirectional coupling concept. This paper first referred to a laboratory experimental case from the literature, applied and analyzed the coupling scheme proposed in this paper and the bidirectional coupling scheme that has been widely studied in recent years, compared the two coupling solutions in terms of the resulting accuracy and applicability, and discussed their respective strengths and weaknesses to validate the reliability of the proposed method. The verified proposed coupling scheme was then applied to the modeling of a real drainage system in a region of Nanjing, China, and the results proved that the coupling mechanism proposed in this study is of practical application value.

Indexed as

CitiesFloodsHydrodynamicsModels, TheoreticalChinaDrainage, SanitarySewageSewage1D/2D coupled modelsewer flowsurface flowurban flooding

Identifiers

PMID38877628

What OpenQuestion holds

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Registered trials

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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.