Urban Inundation under Different Rainstorm Scenarios in Lin'an City, China.

Yan Chen, Hao Hou, Yao Li, Luoyang Wang, Jinjin Fan, Ben Wang, Tangao Hu

Abstract read

In one paragraph

Article in International journal of environmental research and public health, 2022. 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

7 authors.

Yan ChenInstitute of Remote Sensing and Geosciences, Hangzhou Normal University, Hangzhou 311121, China.

Hao HouInstitute of Remote Sensing and Geosciences, Hangzhou Normal University, Hangzhou 311121, China.ORCID 0000-0003-2444-133X

Yao LiFaculty of Geo-Information Science and Earth Observation (ITC), University of Twente, 7500 AE Enschede, The Netherlands.

Luoyang WangInstitute of Remote Sensing and Geosciences, Hangzhou Normal University, Hangzhou 311121, China.ORCID 0000-0002-8612-1692

Jinjin FanInstitute of Remote Sensing and Geosciences, Hangzhou Normal University, Hangzhou 311121, China.

Ben WangInstitute of Remote Sensing and Geosciences, Hangzhou Normal University, Hangzhou 311121, China.

Tangao HuInstitute of Remote Sensing and Geosciences, Hangzhou Normal University, Hangzhou 311121, China.ORCID 0000-0003-4448-2614

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Under the circumstances of global warming and rapid urbanization, damage caused by urban inundation are becoming increasingly severe, attracting the attention of both researchers and governors. The accurate simulation of urban inundation is essential for the prevention of inundation hazards. In this study, a 1D pipe network and a 2D urban inundation coupling model constructed by InfoWorks ICM was used to simulate the inundation conditions in the typical urbanized area in the north of Lin'an. Two historical rainfall events in 2020 were utilized to verify the modeling results. The spatial-temporal variation and the causes of urban inundation under different designed rainfalls were studied. The results were as follows: (1) The constructed model had a good simulation accuracy, the Nash-Sutcliffe efficiency coefficient was higher than 0.82, R

Indexed as

FloodsModels, TheoreticalChinaCitiesRainUrbanizationdesigned rainfallsInfoWorks ICMLin’an cityurban inundation

Identifiers

PMID35742457

DOI10.3390/ijerph19127210

PMCPMC9223009

What OpenQuestion holds

Textmetadata

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.