Evidence map›Paper›PMID 34241705›Full record

ArticleEnvironmental monitoring and assessment2021

Linking hydraulic geometry, land use, and stream water quality in the Taihu Basin, China.

Yaoyi Liu, Hongju Zhang, Peng Zeng, Yukun Wang, Gen Li, Fengyun Sun, Yue Che

Abstract read
PubMed Publisher
In one paragraph

Article in Environmental monitoring and assessment, 2021. 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

7 authors.

Yaoyi LiuSchool of Ecological and Environmental Sciences, East China Normal University, Shanghai, 200241, China.ORCID http://orcid.org/0000-0003-0251-0357
Hongju ZhangTaihu Basin & East China Sea Ecology and Environment Supervision Authority, Ministry of Ecology and Environment, Shanghai, 200434, China.
Peng ZengSchool of Ecological and Environmental Sciences, East China Normal University, Shanghai, 200241, China.
Yukun WangShanghai Investigation, Design & Research Institute Co., Ltd, 200050, Shanghai, China.
Gen LiSchool of Ecological and Environmental Sciences, East China Normal University, Shanghai, 200241, China.
Fengyun SunSchool of Ecological and Environmental Sciences, East China Normal University, Shanghai, 200241, China.
Yue CheSchool of Ecological and Environmental Sciences, East China Normal University, Shanghai, 200241, China. yche@des.ecnu.edu.cn.

Funding

China Postdoctoral Science Foundation 2019M661422
6 · The paper itself

Abstract

Understanding the complexity of catchment-scale human activities, natural factors, and stream water quality is particularly important for basin water resources management. Thorough investigations on how multiple environmental factors quantitatively and simultaneously affect water quality are limited. This study employed Spearman's correlation and ridge regression analysis (RRA) to disentangle the hydraulic geometry and land use contributions to water quality variables (WQVs). Nine and six indicators were used to describe the hydraulic geometry and land use characteristics, respectively, in the Taihu Basin. The results revealed significant correlations between the land use, hydraulic geometry, and stream water quality. Built-up land and cropland negatively impacted the stream water quality, while woodland had the opposite trend. The structure and morphological connectivity of the river network were associated with most WQVs. The hydrologic connectivity characteristics strongly influenced ammonia-nitrogen (NH

Indexed as

RiversWater QualityChinaEnvironmental MonitoringHumansWater PollutionHydraulic geometryLand useRidge regression analysisTaihu BasinWater quality

Identifiers

PMID34241705

What OpenQuestion holds

Textmetadata
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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.