Evidence map›Paper›PMID 34831666›Full record

ArticleInternational journal of environmental research and public health2021

Spatial Variations and Influencing Factors of River Networks in River Basins of China.

Yuanhuan Zheng, Chunxue Yu, Huabin Zhou, Jiannan Xiao

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. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Yuanhuan ZhengResearch Center for Eco-environmental Engineering, Dongguan University of Technology, Dongguan 523808, China.
Chunxue YuResearch Center for Eco-environmental Engineering, Dongguan University of Technology, Dongguan 523808, China.
Huabin ZhouResearch Center for Eco-environmental Engineering, Dongguan University of Technology, Dongguan 523808, China.
Jiannan XiaoSchool of Environmental and Civil Engineering, Dongguan University of Technology, Dongguan 523808, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Analysis of the spatial variations in river networks and the related influencing factors is crucial for the management and protection of basins. To gain insight into the spatial variations and influencing factors of river networks between large basins, in this study, three river basins from north to south in China (Songhua River Basin, Yellow River Basin and Pearl River Basin) were selected for investigation. First, based on a digital elevation model, different river networks with six drainage accumulation thresholds of three basins were extracted using ArcGIS. The optimal networks were determined through fitting the relationship between the accumulation threshold and related drainage density. Then, we used two indicators, drainage density and water surface ratio, to characterize the spatial variations of three basins. Finally, Pearson's correlation coefficients were calculated between those two indicators and natural/human influencing factors. The results showed that drainage density and water surface ratio decreased from north to south in China and were negatively correlated with natural/human influencing factors. Drainage density was more influenced by natural factors than by human factors, while the opposite was true for water surface ratio. These findings may provide some basis for the management and protection of the river network.

Indexed as

RiversChinaHumansdrainage accumulation thresholddrainage densityriver network characteristicswater surface ratio

Identifiers

PMID34831666
PMCPMC8623375

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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.