Evidence map›Paper›PMID 32358744›Full record

ArticleEnvironmental science and pollution research international2020

Risk evaluation of groundwater leakage in coal seam goaf: a case study in the Lingxin Mining Area.

Lianzhi Yang, Jianjian Xu, Jie Fang, Zhiguo Cao, Tianxin Li, Hongqing Song

Abstract read
PubMed Publisher
In one paragraph

Article in Environmental science and pollution research international, 2020. 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. 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

6 authors.

Lianzhi YangSchool of Civil and Resource Engineering, University of Science and Technology Beijing, Beijing, 100083, China.
Jianjian XuSchool of Civil and Resource Engineering, University of Science and Technology Beijing, Beijing, 100083, China.
Jie FangState Key Laboratory of Water Resource Protection and Utilization in Coal Mining, China Energy Investment Corporation Limited, Beijing, 100011, China.
Zhiguo CaoState Key Laboratory of Water Resource Protection and Utilization in Coal Mining, China Energy Investment Corporation Limited, Beijing, 100011, China.
Tianxin LiSchool of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing, 100083, China.
Hongqing SongSchool of Civil and Resource Engineering, University of Science and Technology Beijing, Beijing, 100083, China. songhongqing@ustb.edu.cn.ORCID http://orcid.org/0000-0002-6642-3773

Funding

Open Fund of Chinese State Key Laboratory of Water Resource Protection and Utilization in Coal Mining SHJT-16-30.3
6 · The paper itself

Abstract

It is of great importance to determine the risk grades of the leakage and non-leakage cases of concentrated saltwater from an underground reservoir for the safe operation of reservoirs and environmental protection. In this paper, the model of risk evaluation for environmental pollution of an underground reservoir stored with concentrated saltwater is established. Moreover, the effects of different influencing factors on the risk grades are investigated, along with an uncertainty analysis. In addition, the risk grade of Lingxin Mining Area is calculated, which can contribute to the prevention and control of pollution in the future for that area. The results show that the water quality complexity of mine water is the most significant indicator for risk grade determination. The certainty of weak-risk grade for environmental pollution caused by an underground reservoir when there is no leakage is more than 60% in the Lingxin Mining Area, and the risk grade becomes a strong-risk grade rapidly after concentrated saltwater leakage is considered. This research can provide a theoretical basis for risk control and management of underground reservoirs storing concentrated saltwater.

Indexed as

Coal MiningGroundwaterCoalEnvironmental MonitoringMiningWaterWater QualityCoalWaterConcentrated saltwaterEnvironmental pollutionEvaluation indicatorRisk evaluationUnderground reservoir

Identifiers

PMID32358744

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.