Evidence map›Paper›PMID 23341057›Full record

ArticleEnvironmental monitoring and assessment2013

Comprehensive analysis of an ecological risk assessment of the Daliao River estuary, China.

Ge Yu, Jing Chen, Xueqing Zhang, Zhengyan Li

Abstract read
PubMed Publisher
In one paragraph

Article in Environmental monitoring and assessment, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
2.4field-weighted citation impact, top 8% of its field
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

2 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
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

4 authors at 1 institution in 1 country.

Ge YuKey Laboratory of Marine Environmental Science and Ecology, College of Environmental Sciences and Engineering, Ocean University of China, Qingdao, 266100, China. yuge@ouc.edu.cn
Jing Chen
Xueqing Zhang
Zhengyan Li
Ocean University of China · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

At present, most estuarine ecological risk studies are based on terrestrial ecosystem models, which ignore spatial heterogeneity. The Daliao River estuary has representative characteristics of many estuaries in China, and we used this estuary as the study area to formulate an estuarine ecological risk evaluation model. Targeting the estuary's special hydrodynamic condition, this model incorporated variables that were under the influence of human activities and used them as the major factors for partitioning sections of the river according to risk values. It also explored the spatial and temporal distribution laws of estuarine ecological risk. The results showed that, on the whole, the ecological risk of the Daliao River estuary area was relatively high. At a temporal level, runoff was the main factor resulting in differences in ecological risk, while at the spatial level, the ecological risk index was affected by pollutants carried by runoff from upstream, as well as downstream pollution emissions and dilution by seawater at the mouth of the sea. The characteristics of this model make it possible to simulate the spatial and temporal risk distribution in different regions and under different rainfall regimes. This model can thus be applied in other estuarine areas and provides some technical support for analysis and control of ecological destruction in estuary areas.

Indexed as

Environmental MonitoringEstuariesAquatic OrganismsBiodiversityChinaEcologyGeologic SedimentsRisk AssessmentRiversSeawaterWater Pollutants, ChemicalWater Pollutants, Chemical

Identifiers

PMID23341057
OpenAlexW1982112891

What OpenQuestion holds

Textmetadata
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.