Evidence map›Paper›PMID 31935946›Full record

ArticleInternational journal of environmental research and public health2020

Evaluation on Early Drought Warning System in the Jinghui Channel Irrigation Area.

Shibao Lu, Yizi Shang, Hongbo Zhang

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 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

3 authors.

Shibao LuSchool of Public Administration, Zhejiang University of Finance and Economics, Hangzhou 310018, China.
Yizi ShangState Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing 100101, China.ORCID 0000-0002-8432-9561
Hongbo ZhangSchool of Environmental Science and Engineering, Chang'an University, Xi'an 710054, China.ORCID 0000-0002-3866-7711

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the economic growth, continuous global environment deterioration, and increasingly serious water resources shortage, droughts have become more and more serious and produced great impacts on both the regional ecology and sustainable economic development. This paper has established the "green, blue, yellow, orange, and red lights" as the early warning grades for agricultural droughts. By using the two influencing factors, namely precipitation and soil moisture, this paper has established the drought assessment index evaluation model using weighted coupling method. It has carried out the analogue simulation of the early drought warning based on the Jinghui Channel's 2013 water source situations. The soil moisture in January and February is relatively ideal, and the actual early drought warning is expressed by the "green light". The soil moisture deficit is comparatively serious in March, but the situation concerning water inflow is ideal with the "green light". Actually, the early warning signal is basically consistent with the soil moisture drought degree between April and August. The actual early warning is expressed by the "green light" as well, but the soil moisture is not so ideal, however, this is the seeding time of the winter wheat so the lack of soil moisture has no impact on the crops output. In November and December, the winter wheat is at the growth and development stage and does not need much moisture. At this stage, the soil moisture is relatively poor. By integrating the time effects into the early drought warning system, this paper provides administrators of irrigation areas with a scientific decision-making based on the drought control measures.

Indexed as

Agricultural IrrigationDroughtsEnvironmental MonitoringWater ResourcesChinaSeasonsdrought indexearly droughts warning and drought assessmentprecipitationsoil moisture

Identifiers

PMID31935946
PMCPMC6981990

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.