Evidence map›Paper›PMID 26832875›Full record

ArticleEnvironmental science and pollution research international2016

A Bayesian-based two-stage inexact optimization method for supporting stream water quality management in the Three Gorges Reservoir region.

X H Hu, Y P Li, G H Huang, X W Zhuang, X W Ding

Abstract read
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In one paragraph

Article in Environmental science and pollution research international, 2016. 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. Waste load equilibrium allocation: a soft path for coping with deteriorating water systems.Environmental science and pollution research international · 2016
    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

5 authors.

X H HuSino-Canada Resources and Environmental Research Academy, North China Electric Power University, Beijing, 102206, China.
Y P LiSino-Canada Resources and Environmental Research Academy, North China Electric Power University, Beijing, 102206, China. yongping.li@iseis.org.
G H HuangSino-Canada Resources and Environmental Research Academy, North China Electric Power University, Beijing, 102206, China.
X W ZhuangSino-Canada Resources and Environmental Research Academy, North China Electric Power University, Beijing, 102206, China.
X W DingSino-Canada Resources and Environmental Research Academy, North China Electric Power University, Beijing, 102206, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, a Bayesian-based two-stage inexact optimization (BTIO) method is developed for supporting water quality management through coupling Bayesian analysis with interval two-stage stochastic programming (ITSP). The BTIO method is capable of addressing uncertainties caused by insufficient inputs in water quality model as well as uncertainties expressed as probabilistic distributions and interval numbers. The BTIO method is applied to a real case of water quality management for the Xiangxi River basin in the Three Gorges Reservoir region to seek optimal water quality management schemes under various uncertainties. Interval solutions for production patterns under a range of probabilistic water quality constraints have been generated. Results obtained demonstrate compromises between the system benefit and the system failure risk due to inherent uncertainties that exist in various system components. Moreover, information about pollutant emission is accomplished, which would help managers to adjust production patterns of regional industry and local policies considering interactions of water quality requirement, economic benefit, and industry structure.

Indexed as

Bayes TheoremChinaEnvironmental MonitoringModels, TheoreticalRiskRiversUncertaintyWater PollutionWater QualityBayesian statisticsOptimizationSimulationTwo-stage stochasticUncertaintyWater quality management

Identifiers

PMID26832875

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.