Evidence map›Paper›PMID 34300165›Full record

ArticleInternational journal of environmental research and public health2021

Evaluation of Groundwater Using an Integrated Approach of Entropy Weight and Stochastic Simulation: A Case Study in East Region of Beijing.

Yongxiang Zhang, Ruitao Jia, Jin Wu, Huaqing Wang, Zhuoran Luo

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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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

3 citing papers in PubMed.

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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.

Yongxiang ZhangFaculty of Architecture, Civil and Transportation Engineering, Beijing University of Technology, Beijing 100124, China.
Ruitao JiaFaculty of Architecture, Civil and Transportation Engineering, Beijing University of Technology, Beijing 100124, China.
Jin WuFaculty of Architecture, Civil and Transportation Engineering, Beijing University of Technology, Beijing 100124, China.ORCID 0000-0001-5653-8561
Huaqing WangFaculty of Architecture, Civil and Transportation Engineering, Beijing University of Technology, Beijing 100124, China.
Zhuoran LuoFaculty of Architecture, Civil and Transportation Engineering, Beijing University of Technology, Beijing 100124, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Groundwater is an important source of water in Beijing. Hydrochemical composition and water quality are the key factors to determine the availability of groundwater. Therefore, an improved integrated weight water quality index approach (IWQI) combining the entropy weight method and the stochastic simulation method is proposed. Through systematic investigation of groundwater chemical composition in different periods, using a hydrogeochemical diagram, multivariate statistics and spatial interpolation analysis, the spatial evolution characteristics and genetic mechanism of groundwater chemistry are discussed. The results show that the groundwater in the study area is weakly alkaline and low mineralized water. The south part of the study area showed higher concentrations of total dissolved solids, total hardness and NO3--N in the dry season and wet season, and the main hydrochemical types are HCO3--Ca and HCO3--Ca-Mg. The natural source mechanism of the groundwater chemical components in Chaoyang District includes rock weathering, dissolution and cation exchange, while the human-made sources are mainly residents and industrial activities. Improved IWQI evaluation results indicate that water quality decreases from southwest to northeast along groundwater flow path. The water quality index (WQI) method cannot reflect the trend of groundwater. Sensitivity analysis indicated that the improved IWQI method could describe the overall water quality reliably, accurately and stably.

Indexed as

GroundwaterWater Pollutants, ChemicalBeijingEntropyEnvironmental MonitoringHumansWater QualityWater Pollutants, ChemicalChaoyang districtgroundwater qualityhydrochemistryIWQIsensitivity analysis

Identifiers

PMID34300165
PMCPMC8307073

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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.