Evidence map›Paper›PMID 32694568›Full record

ArticleNature communications2020

South-to-North Water Diversion stabilizing Beijing's groundwater levels.

Di Long, Wenting Yang, Bridget R Scanlon, Jianshi Zhao, Dagen Liu, Peter Burek, Yun Pan, Liangzhi You, Yoshihide Wada

Abstract read
In one paragraph

Article in Nature communications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

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  9. Urban groundwater supplies facing dual pressures of depletion and contamination in China.Proceedings of the National Academy of Sciences of the United States of America · 2025
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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

9 authors.

Di LongState Key Laboratory of Hydroscience and Engineering, Department of Hydraulic Engineering, Tsinghua University, Beijing, 100084, China. dlong@tsinghua.edu.cn.ORCID http://orcid.org/0000-0001-9033-5039
Wenting YangState Key Laboratory of Hydroscience and Engineering, Department of Hydraulic Engineering, Tsinghua University, Beijing, 100084, China.ORCID http://orcid.org/0000-0001-8875-7398
Bridget R ScanlonBureau of Economic Geology, Jackson School of Geosciences, The University of Texas at Austin, Austin, TX, 78758, USA.ORCID http://orcid.org/0000-0002-1234-4199
Jianshi ZhaoState Key Laboratory of Hydroscience and Engineering, Department of Hydraulic Engineering, Tsinghua University, Beijing, 100084, China.
Dagen LiuBeijing Water Authority, Beijing, 100038, China.
Peter BurekInternational Institute for Applied Systems Analysis, 2361, Laxenburg, Austria.ORCID http://orcid.org/0000-0001-6390-8487
Yun PanCollege of Resources Environment and Tourism, Capital Normal University, Beijing, 100048, China.
Liangzhi YouMacro Agriculture Research Institute (MARI), College of Economics and Management, Huazhong Agricultural University, Wuhan, 430070, China.
Yoshihide WadaInternational Institute for Applied Systems Analysis, 2361, Laxenburg, Austria.ORCID http://orcid.org/0000-0003-4770-2539

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Groundwater (GW) overexploitation is a critical issue in North China with large GW level declines resulting in urban water scarcity, unsustainable agricultural production, and adverse ecological impacts. One approach to addressing GW depletion was to transport water from the humid south. However, impacts of water diversion on GW remained largely unknown. Here, we show impacts of the central South-to-North Water Diversion on GW storage recovery in Beijing within the context of climate variability and other policies. Water diverted to Beijing reduces cumulative GW depletion by ~3.6 km

Identifiers

PMID32694568
PMCPMC7374106

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.